WO2021227883A1 - 一种小区选择方法与终端设备 - Google Patents

一种小区选择方法与终端设备 Download PDF

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Publication number
WO2021227883A1
WO2021227883A1 PCT/CN2021/090748 CN2021090748W WO2021227883A1 WO 2021227883 A1 WO2021227883 A1 WO 2021227883A1 CN 2021090748 W CN2021090748 W CN 2021090748W WO 2021227883 A1 WO2021227883 A1 WO 2021227883A1
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WIPO (PCT)
Prior art keywords
cell
cells
terminal device
historical
qoe
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PCT/CN2021/090748
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English (en)
French (fr)
Inventor
窦凤辉
杜旭阳
杨锐
金辉
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华为技术有限公司
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Priority claimed from CN202010873837.2A external-priority patent/CN113676966B/zh
Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to US17/924,770 priority Critical patent/US20230199637A1/en
Priority to EP21804734.8A priority patent/EP4138454A4/en
Priority to BR112022022959A priority patent/BR112022022959A2/pt
Publication of WO2021227883A1 publication Critical patent/WO2021227883A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/00837—Determination of triggering parameters for hand-off
    • H04W36/008375—Determination of triggering parameters for hand-off based on historical data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/00835—Determination of neighbour cell lists
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W48/00—Access restriction; Network selection; Access point selection
    • H04W48/20—Selecting an access point

Definitions

  • This application relates to the field of communication technology, and in particular to a cell selection method and terminal equipment.
  • Terminal devices such as mobile phones and tablet computers have become important tools for users' daily life, entertainment, and office work.
  • the terminal device has the Internet function, and the user can browse the web and watch online videos.
  • the terminal device's Internet experience is not good.
  • the user's terminal device is connected to cell A, but the terminal device of cell A is connected to the terminal device of cell A during peak hours (for example, 8-10 in the evening).
  • peak hours for example, 8-10 in the evening.
  • the large number causes the terminal equipment to experience network freezes or even unable to access the Internet, which affects the user experience.
  • the purpose of this application is to provide a cell selection method and terminal equipment, which are used to improve the Internet experience of the terminal equipment.
  • a method for cell selection is provided, which can be applied to terminal devices, such as mobile phones and tablet computers.
  • the method includes: a terminal device detects multiple cells; the terminal device obtains the historical quality of experience QoE of each cell in N cells, where the N cells are all or part of the cells; N is A positive integer; the historical QoE is used to characterize the network usage experience of the terminal device in each cell in the history; the terminal device selects the first cell among the multiple cells based on the historical QoE ; The terminal device is connected to the first cell.
  • the terminal device when the terminal device selects a cell, it selects a cell based on the historical QoE of the cell, which is different from the existing direct measurement result of the cell (that is, the first measurement result below) to select a cell.
  • the cell provided in this application
  • the selection method can avoid access to a cell with a poor network (such as a network stuck) and improve the Internet experience of the terminal device.
  • the method further includes: the N cells are all cells of the multiple cells, and the terminal device obtains the first measurement result of each cell in the N cells, so The first measurement result includes the reference signal received power RSRP and/or the reference signal received quality RSRQ; the terminal device suppresses or enhances the first measurement result of each cell based on the historical QoE of each of the N cells, Obtain a second measurement result; wherein, the first cell is a cell with the highest second measurement result or a cell with a second measurement result greater than a threshold among the N cells.
  • the foregoing first measurement result refers to a direct measurement result of the cell, which is a measurement result that has not been suppressed or enhanced, and the second measurement result is not a direct measurement result, but is a measurement result after suppression or enhancement.
  • the terminal device may store the historical QoE of all or part of the multiple cells. Assuming that the QoE of all cells is acquired, the terminal device suppresses or enhances the first measurement result of each cell based on the QoE of each cell, and selects the cell based on the suppressed or enhanced measurement result. Different from the existing cell selection based on the first measurement result of the cell, the cell selection method provided in this application can avoid access to a cell with a poor network (such as a network stuck) and improve the Internet experience of the terminal device.
  • a poor network such as a network stuck
  • the method further includes: the N cells are some of the multiple cells, and the terminal device obtains the first measurement result of each cell in the multiple cells,
  • the first measurement result includes RSRP and/or RSRQ;
  • the terminal device suppresses or enhances the first measurement result of each cell based on the historical QoE of each of the N cells to obtain a second measurement result;
  • the first cell is the cell with the highest measurement result or the measurement result greater than the threshold among the second measurement results of the N cells and the first measurement results of the remaining cells; wherein, the remaining cells are the cells that are excluded from the multiple cells.
  • the remaining cells other than the N cells.
  • the terminal device may store the historical QoE of all or part of the multiple cells.
  • the terminal device can compare the cell based on the QoE of cell A.
  • the first measurement result of A is suppressed or enhanced
  • the first measurement result of cell C is suppressed or enhanced based on the QoE of cell C, that is, the terminal device will obtain the second measurement result of cell A and the second measurement result of cell C ,
  • the first measurement result of cell B is also obtained.
  • the cell with the highest measurement result is determined to access .
  • the cell selection method provided in this application can avoid access to a cell with a poor network (such as a network stuck) and improve the Internet experience of the terminal device.
  • the terminal device suppresses or enhances the first measurement result of each cell based on the historical QoE of each of the N cells to obtain the second measurement result, including: A historical QoE evaluation result of each cell in each of the N cells, where the evaluation result is an evaluation of the network performance of the cell based on the network usage experience of the cell after the terminal device is connected to each cell of the N cells in history; Suppress or enhance the first measurement result of each cell based on the evaluation result, and obtain the second measurement result.
  • the terminal device when the terminal device selects a cell, it selects based on the historical QoE of the cell. Specifically, based on the scoring result of the historical QoE of the cell, the first measurement result of the cell is suppressed or enhanced to obtain the second measurement result. , Select a cell based on the second measurement result. Different from the existing cell selection based on the first measurement result of the cell, the cell selection method provided in this application can avoid access to a cell with a poor network (such as a network stuck) and improve the Internet experience of the terminal device.
  • a poor network such as a network stuck
  • suppressing or enhancing the first measurement result of each cell based on the evaluation result of each of the N cells to obtain the second measurement result includes:
  • the first measurement result of each cell is suppressed or enhanced based on the suppression strength or enhancement strength.
  • the terminal device when the terminal device selects a cell, it selects based on the historical QoE of the cell. Specifically, the corresponding suppression or enhancement level is determined based on the scoring result of the historical QoE of the cell for the first measurement result of the cell Perform suppression or enhancement to obtain a second measurement result, and select a cell based on the second measurement result.
  • the cell selection method provided in this application can avoid access to a cell with a poor network (such as a network stuck) and improve the Internet experience of the terminal device.
  • the method further includes: the terminal device determines whether there is a historical QoE evaluation result in the first cell, and if it does not exist, evaluates the network performance of the first cell to obtain the evaluation result If the evaluation result meets the condition, the terminal device continues to camp in the first cell; if the evaluation result does not meet the condition, cancel the suppression of the first measurement results of the N cells; based on the The first measurement results of the N cells and the third measurement results of the remaining cells select a second cell, and switch from the first cell to the second cell.
  • the terminal device detects cell A, cell B, and cell C, and the terminal device may store the historical QoE of all or some of the multiple cells. If only the QoE of some cells is stored, the terminal device may select the first cell without historical QoE. Therefore, in the embodiment of the present application, the terminal device can also determine whether there is a historical QoE evaluation result in the first cell. If it does not exist, evaluate the network performance of the first cell to obtain the evaluation result; if the evaluation result meets the conditions, it means that the first cell The network performance of the cell is good, and you can continue to camp in the first cell at this time; otherwise, it means that the network performance of the first cell is poor. At this time, you can cancel the suppression of the first measurement results of the N cells and reselect Cell (for example, select a cell based on the first measurement result of the cell).
  • the evaluation result satisfies the conditions, including:
  • the evaluation result indicates that the network performance of the first cell is smooth; or,
  • the evaluation result indicates that the number of times the network performance of the first cell is smooth within the preset time period is greater than the preset number of times; or,
  • the evaluation result indicates that the network performance of the first cell is a smooth period of time longer than a preset period of time; or,
  • the evaluation result indicates that the network performance of the first cell is higher than the network performance of the multiple neighboring cells; or,
  • the evaluation result indicates that the network performance of the first cell is higher than a threshold.
  • the terminal device can quickly evaluate the network performance of the first cell to obtain the evaluation result. If the evaluation result indicates that the network performance of the first cell is smooth, the smooth duration is longer than the preset duration, and the smooth If the number of times is greater than the preset number, or the network performance of the first cell is higher than the network performance of other surrounding cells, the terminal device continues to camp in the first cell, otherwise, it switches to other cells with higher network performance. Therefore, in this way, the terminal device can access a cell with better network performance during the cell handover process.
  • the historical QoE of cell A is higher than the historical QoE of cell B, so the suppression intensity of cell A is lower than the suppression intensity of cell B; then there is a greater probability that the suppressed measurement result of cell A is greater than the suppressed measurement result of cell B.
  • the possibility of terminal equipment accessing cell A is high.
  • the enhancement strength of cell A is higher than that of cell B, then there is a higher probability that the enhanced measurement result of cell A is greater than the enhanced measurement result of cell B, and the terminal device is more likely to access cell A. In this way, the terminal device can select better QoE cell access and improve the network experience.
  • the terminal device acquiring the historical quality of experience QoE of each of the N cells includes: the application processor in the terminal device acquiring the historical QoE of each of the N cells
  • the historical QoE of each cell is an evaluation of the network performance of the cell based on the network usage experience of the cell after the terminal device is connected to the cell in the history.
  • the process of determining the historical QoE of the cell may be executed by the application processor in the terminal device.
  • the terminal device selects the first cell among the multiple cells based on the historical QoE, including: the application processor calculates the historical QoE of each of the N cells Sent to the modem modem in the terminal device; to use the modem to select the first cell among the multiple cells based on the historical QoE.
  • the process of determining the historical QoE of the cell may be executed by the application processor in the terminal device.
  • the application processor sends the historical QoE of the cell to the modem, and the modem selects the cell based on the historical QoE.
  • the N cells are all cells of the multiple cells, and the modem is further used to: obtain the first measurement result of each cell in the N cells, and the first The measurement result includes RSRP and/or RSRQ; the first measurement result of each cell is suppressed or enhanced based on the historical QoE of each of the N cells to obtain the second measurement result; the modem is based on the historical QoE, Selecting the first cell from the plurality of cells includes: determining the cell with the highest second measurement result or the cell with the second measurement result greater than a threshold among the N cells as the first cell.
  • the cell measurement of the terminal device, the suppression or enhancement of the measurement result, and the selection of the cell based on the suppression or enhancement measurement result are performed by the modem.
  • the N cells are some of the cells, and the modem is further used to: obtain the first measurement result of each cell in the plurality of cells, and the first measurement result of each cell in the plurality of cells
  • a measurement result includes RSRP and/or RSRQ; the first measurement result of each cell is suppressed or enhanced based on the historical QoE of each of the N cells, and the second measurement result is obtained; the modem is based on the historical QoE ,
  • Selecting the first cell among the plurality of cells includes: determining that the second measurement result of the N cells and the first measurement result of the remaining cells are the cell with the highest measurement result or the measurement result greater than a threshold as the first Cells; wherein, the remaining cells are the remaining cells among the plurality of cells excluding the N cells.
  • the cell measurement of the terminal device, the suppression or enhancement of the measurement result, and the selection of the cell based on the suppression or enhancement measurement result are performed by the modem.
  • the first cell is the cell with the best historical QoE among the multiple cells; in this way, there is no need to suppress or enhance the measurement results of the cell based on historical QoE, and the selection is directly based on historical QoE
  • the cell for example, selecting the cell with the best historical QoE is simpler and more efficient.
  • the first cell is the cell with the best historical QoE of the multiple cells in the first time period, and the first time period includes the current time point of the terminal device; since the QoE of the cell may change over time In this way, the terminal device can determine the cell with the best historical QoE in the current time period, and the selected cell is more accurate.
  • the first cell is a cell with the best historical QoE of the multiple cells in a second time period
  • the second time period is a time period after the current time point of the terminal device
  • the second time The time difference between the start time of the segment and the current time point is less than the threshold.
  • the terminal device can determine the cell with the best historical QoE in the time period of 9:00-10:00. This method can play a role in predicting in advance to a certain extent, and the user experience is higher.
  • historical QoE includes: historical fluency rate and/or historical stall rate; the cell with the best historical QoE is the cell with the highest historical fluency rate and/or the lowest historical stall rate; among them, historical The fluency rate is the probability that the terminal device is connected to a cell in history; the history jam rate is the probability that the terminal device is connected to the cell in the history of the network stall.
  • the terminal device selects a cell with a high historical fluency rate or a low historical stall rate; a cell with a high historical fluency rate or a cell with a low historical stall rate has a lower probability of network stalls, which helps Improve the network experience of terminal equipment.
  • the historical QoE includes: a historical QoE scoring result, the historical QoE scoring result being a scoring of the network performance of the cell based on the network usage experience of the cell after the terminal device is connected to the cell in history, and the historical QoE is the best The cell of is the cell with the highest historical QoE score or the cell with the historical QoE score higher than the threshold.
  • the terminal device can score the network performance of the cells that have been accessed in history, obtain a QoE score result, and select a cell based on the QoE score result.
  • a cell with a higher score has a better network experience, so the terminal device can choose a cell with a higher QoE score to avoid switching to a cell with a poor network and improve the network experience.
  • the terminal device detects that the location of the multiple cells is the first location; based on the historical QoE, after the terminal device selects the first cell from the multiple cells, It includes: controlling the terminal device to switch to a default mode; in the default mode, the terminal device selects a target cell based on a first measurement result of the cell, the first measurement result including RSRQ and/or RSRP; when the terminal device When arriving at the first location again, the terminal device selects a third cell in the default mode; the third cell is different from the first cell.
  • the terminal device may have two cell selection modes, such as the first mode (ie the default mode) and the second mode.
  • the default mode refers to that the terminal device in the prior art selects a cell based on the first measurement result.
  • the second mode is the mode of selecting a cell based on the historical QoE of the cell provided in the embodiment of this application. In the same location, the terminal device selects a different cell based on the first mode and the second mode, and the cell selected through the mode provided in this application, that is, the cell selected by the second mode, has a better network experience.
  • the third cell is different from the first cell, including: the RSRQ and/or RSRP of the first cell is lower than that of the third cell, and the QoE of the first cell is higher In the third cell.
  • the terminal device selects different cells based on the first mode (default mode) and the second mode. For example, in the same location, the terminal device selects cell A based on the first mode, and cell B based on the second mode.
  • the RSRQ and/or RSRP of cell A is higher than that of cell B, and the QoE of cell A is lower than that of cell B.
  • the mode provided by the application that is, the cell selected in the second mode, has a better network experience.
  • the method before the terminal device obtains the historical QoE of the N cells among the multiple cells, the method further includes: determining that the signal strength of the serving cell is lower than a threshold; or,
  • the multiple cells are cells corresponding to the preset scene;
  • the terminal device when a certain trigger condition is met, the terminal device obtains the historical QoE of the cell and selects the cell based on the historical QoE.
  • the trigger condition is for example: the signal strength of the current serving cell of the terminal device is lower than the threshold; or, the position change is detected and/or the displacement change is greater than the preset value; or the entry into the preset scene is detected; or the current time is determined Reach a specific time, such as 8:00 or 9:00 on the hour. That is to say, when the trigger condition is not detected, the cell selection mechanism provided in this application may not be executed to save power consumption.
  • the trigger condition is detected, the cell is selected based on the cell selection mechanism provided in this application. Access to a community with better network experience.
  • the terminal device stores the corresponding relationship between scenes, time periods, cells, and historical QoE of the cells, and the N cells are the corresponding relationship between the current time period and the current scene in the corresponding relationship.
  • the terminal device after the terminal device enters the scene (such as home or company), it determines multiple cells that match the scene and the current time period, and can also determine the historical QoE statistics times or accumulated days of the matched cell Is it sufficient to ensure the accuracy of cell selection.
  • the scene such as home or company
  • the historical QoE score satisfies:
  • i is the i-th performance label of the cell
  • N is the total number of performance labels
  • Xi is the occurrence probability of the i-th performance label
  • Yi is the weight corresponding to the i-th performance label.
  • one of the weights corresponding to all the performance labels The sum is 1; wherein, the performance label is the level divided by the terminal device for the network performance of the cell.
  • the QoE score of a cell is determined based on multiple performance tags, and each performance tag represents a level of the network performance of the cell. If the level division is more detailed, the number of performance tags is larger, then the final calculated The more accurate the historical QoE score, the more accurate the cell selected based on the historical QoE.
  • the first cell and the fourth cell are not necessarily the same, and the fourth cell is the cell with the strongest RSRP and/or RSRQ among multiple neighboring cells of the fifth cell.
  • the cell is a serving cell before the terminal device is connected to the first cell.
  • the cell selected by the cell selection method provided in the embodiments of this application is not necessarily the cell with the strongest RSRP and/or RSRQ, but a suitable cell is selected based on historical QoE. In this way, a cell with better network performance can be selected Access to improve the network experience of terminal equipment.
  • a terminal device including: an application processor AP and a modem;
  • the modem is used to detect multiple cells
  • the AP is used to obtain the historical quality of experience QoE of each of the N cells, where the N cells are all or part of the multiple cells; N is a positive integer; the historical QoE is used for characterization Network usage experience of the terminal device when the terminal device is in each cell in history;
  • the modem is further configured to select the first cell among the multiple cells based on the historical QoE;
  • the modem is also used to connect to the first cell.
  • the N cells are all cells of the multiple cells
  • the modem is further used to: obtain the first measurement result of each cell in the N cells, and the first The measurement result includes the reference signal received power RSRP and/or the reference signal received quality RSRQ; the first measurement result of each cell is suppressed or enhanced based on the historical QoE of each of the N cells, and the second measurement result is obtained;
  • the modem is used to select the first cell among the multiple cells based on the historical QoE, it is specifically used to determine the cell with the highest second measurement result among the N cells or the second measurement result greater than the threshold.
  • the cell is the first cell.
  • the N cells are some of the cells, and the modem is further used to: obtain the first measurement result of each cell in the plurality of cells, and the first measurement result of each cell in the plurality of cells
  • a measurement result includes RSRP and/or RSRQ; the first measurement result of each cell is suppressed or enhanced based on the historical QoE of each of the N cells, and the second measurement result is obtained;
  • the historical QoE when the first cell is selected from the multiple cells, is specifically used to determine which of the second measurement results of the N cells and the first measurement results of the remaining cells is the highest or the measurement result is greater than the threshold
  • the cell is the first cell; wherein the remaining cells are the remaining cells excluding the N cells among the multiple cells.
  • the AP when used to obtain the historical quality of experience QoE of each of the N cells, it is specifically used to:
  • the modem is specifically configured to suppress or enhance the first measurement result of each cell based on the evaluation result to obtain the second measurement result.
  • the modem is specifically used for:
  • the AP is further used to determine whether there is a historical QoE evaluation result in the first cell, and if it does not exist, evaluate the network performance of the first cell to obtain the evaluation result;
  • the third measurement result selects the second cell, and switches from the first cell to the second cell.
  • the evaluation result satisfies the conditions, including:
  • the evaluation result indicates that the network performance of the first cell is smooth; or,
  • the evaluation result indicates that the number of times the network performance of the first cell is smooth within the preset time period is greater than the preset number of times; or,
  • the evaluation result indicates that the network performance of the first cell is a smooth period of time longer than a preset period of time; or,
  • the evaluation result indicates that the network performance of the first cell is higher than the network performance of the multiple neighboring cells; or,
  • the evaluation result indicates that the network performance of the first cell is higher than a threshold.
  • a terminal device including:
  • One or more processors are One or more processors;
  • an electronic device including: a processing unit and a communication unit;
  • the communication unit is used to detect multiple cells
  • the processing unit is used to obtain the historical quality of experience QoE of each of the N cells, where the N cells are all or part of the multiple cells; N is a positive integer; and the historical QoE is used to characterize all the cells. Network usage experience of the terminal device when it is in each cell in history;
  • a processing unit or a communication unit configured to select the first cell among the multiple cells based on the historical QoE
  • the communication unit is also used to connect to the first cell.
  • the processing unit is further configured to: obtain the first measurement result of each cell in the N cells,
  • the first measurement result includes reference signal received power RSRP and/or reference signal received quality RSRQ;
  • the communication unit is further configured to: suppress or enhance the first measurement result of each cell based on the historical QoE of each of the N cells to obtain a second measurement result; wherein, the first cell is the Among the N cells, the cell with the highest second measurement result or the cell with the second measurement result greater than the threshold.
  • the communication unit is further configured to: obtain the first measurement result of each cell in the multiple cells
  • the first measurement result includes RSRP and/or RSRQ; the first measurement result of each cell is suppressed or enhanced based on the historical QoE of each of the N cells, and the second measurement result is obtained;
  • the cell is the cell with the highest measurement result or the measurement result greater than the threshold among the second measurement results of the N cells and the first measurement results of the remaining cells; wherein, the remaining cells are the plurality of cells excluding the N cells The remaining cells outside the cell.
  • the communication unit is specifically configured to: determine a historical QoE evaluation result of each of the N cells, and the evaluation result indicates that the terminal device is historically connected to the N
  • Each cell in the cell evaluates the network performance of the cell based on the network usage experience of the cell; suppresses or enhances the first measurement result of each cell based on the evaluation result, and obtains the second measurement result.
  • the communication unit is specifically configured to: determine the suppression strength or enhancement strength corresponding to the evaluation result; suppress or enhance the first measurement result of each cell based on the suppression strength or enhancement strength .
  • the processing unit is further configured to: determine whether a historical QoE evaluation result exists in the first cell, and if it does not exist, evaluate the network performance of the first cell to obtain the evaluation result;
  • the communication unit continues to camp in the first cell; if the evaluation result does not meet the condition, the communication unit cancels the suppression of the first measurement results of the N cells; Select a second cell based on the first measurement result of the N cells and the third measurement result of the remaining cells, and switch from the first cell to the second cell.
  • the evaluation result satisfies the condition, including: the evaluation result indicates that the network performance of the first cell is smooth; or, the evaluation result indicates that the first cell is within a preset period of time The number of times the network performance of the network is smooth is greater than the preset number; or, the evaluation result indicates that the network performance of the first cell is smooth for the preset time period; or, the evaluation result indicates the network of the first cell The performance is higher than the network performance in the multiple neighboring cells; or, the evaluation result indicates that the network performance of the first cell is higher than a threshold.
  • the first cell is the cell with the best historical QoE among the N cells; or,
  • the first cell is the cell with the best historical QoE of the N cells in the first time period, and the first time period includes the current time point of the terminal device; or,
  • the first cell is the cell with the best historical QoE of the N cells in the second time period
  • the second time period is the time period after the current time point of the terminal device
  • the time period of the second time period The time difference between the start time and the current time point is less than the threshold.
  • the historical QoE includes: historical fluency rate and/or historical stall rate; the cell with the best historical QoE is the cell with the highest historical fluency rate and/or the lowest historical stall rate; where , The historical fluency rate is the probability that network fluency occurs when the terminal device is connected to a cell in history; the historical stall rate is the probability that a network stall occurs when the terminal device is connected to a cell in history; or, the history QoE includes: historical QoE evaluation results, the cell with the best historical QoE evaluation is the cell with the highest historical QoE evaluation result or the cell with the historical QoE evaluation result higher than a threshold, and the historical QoE evaluation result is the cell in which the terminal device is connected in history Afterwards, the network performance of the cell is evaluated based on the network usage experience of the cell.
  • the terminal device detects that the location of the multiple cells is the first location
  • the processing unit is further configured to: control the terminal device to switch to a default mode; in the default mode, the terminal device selects a target cell based on a first measurement result of the cell, where the first measurement result includes RSRQ and/or RSRP ;
  • the communication unit selects a third cell in the default mode; the third cell is different from the first cell.
  • the third cell is different from the first cell, including: the RSRQ and/or RSRP of the first cell is lower than that of the third cell, and the QoE of the first cell is higher In the third cell.
  • the processing unit is further configured to: determine that the signal strength of the serving cell is lower than a threshold; or,
  • the multiple cells are cells corresponding to the preset scene;
  • the terminal device stores the corresponding relationship between scenes, time periods, cells, and historical QoE of the cells, and the N cells are the corresponding relationship between the current time period and the current scene in the corresponding relationship.
  • the processing unit is further configured to: determine that the number of historical QoE statistics of the N cells is greater than a preset number of times; or, determine that the number of accumulated historical QoE statistics of the N cells is greater than the preset number of days.
  • i is the i-th performance label of the cell
  • N is the total number of performance labels
  • Xi is the occurrence probability of the i-th performance label
  • Yi is the weight corresponding to the i-th performance label.
  • one of the weights corresponding to all the performance labels The sum is 1; wherein, the performance label is the level divided by the terminal device for the network performance of the cell.
  • a chip is also provided, which is coupled with a memory in an electronic device, and is configured to call a computer program stored in the memory to execute the method described in the above first aspect.
  • a computer-readable storage medium including instructions, which, when the instructions run on an electronic device, cause the electronic device to execute the method described in the first aspect.
  • a computer program product including instructions, which when run on a computer, cause the computer to execute the method described in the first aspect.
  • FIG. 1 is a schematic diagram of an application scenario provided by an embodiment of this application.
  • FIG. 2 is a schematic diagram of the first algorithm mode provided by an embodiment of this application.
  • FIG. 3 is a schematic flowchart of a cell selection method provided by an embodiment of this application.
  • FIG. 4 is a schematic flowchart of another cell selection method provided by an embodiment of this application.
  • FIG. 5 is a schematic flowchart of another cell selection method provided by an embodiment of this application.
  • FIG. 6 is a schematic flowchart of another cell selection method provided by an embodiment of this application.
  • FIG. 7 is a schematic flowchart of another cell selection method provided by an embodiment of this application.
  • FIG. 8 is a schematic structural diagram of a terminal device provided by an embodiment of this application.
  • FIG. 9 is a schematic diagram of a layered architecture of a terminal device provided by an embodiment of this application.
  • Terminal devices including devices that provide users with voice and/or data connectivity, specifically, include devices that provide users with voice, or include devices that provide users with data connectivity, or include devices that provide users with voice and data connectivity Sexual equipment.
  • it may include a handheld device with a wireless connection function, or a processing device connected to a wireless modem.
  • the terminal device can communicate with the core network via a radio access network (RAN), exchange voice or data with the RAN, or exchange voice and data with the RAN.
  • RAN radio access network
  • the terminal equipment may include user equipment (UE), wireless terminal equipment, mobile terminal equipment, device-to-device communication (device-to-device, D2D) terminal equipment, vehicle to everything (V2X) terminal equipment , Machine-to-machine/machine-type communications (M2M/MTC) terminal equipment, Internet of things (IoT) terminal equipment, subscriber unit, subscriber unit station), mobile station (mobile station), remote station (remote station), access point (access point, AP), remote terminal (remote terminal), access terminal (access terminal), user terminal (user terminal), user Agent (user agent), or user equipment (user device), etc.
  • UE user equipment
  • M2M/MTC Machine-to-machine/machine-type communications
  • IoT Internet of things
  • subscriber unit subscriber unit station
  • mobile station mobile station
  • remote station remote station
  • access point access point
  • AP remote terminal
  • remote terminal remote terminal
  • access terminal access terminal
  • user terminal user terminal
  • user Agent user agent
  • user equipment user device
  • it may include mobile phones (or “cellular” phones), computers with mobile terminal equipment, portable, pocket-sized, hand-held, mobile devices with built-in computers, and so on.
  • PCS personal communication service
  • PCS cordless phones
  • SIP session initiation protocol
  • WLL wireless local loop
  • PDA personal digital assistants
  • restricted devices such as devices with low power consumption, or devices with limited storage capabilities, or devices with limited computing capabilities. Examples include barcodes, radio frequency identification (RFID), sensors, global positioning system (GPS), laser scanners and other information sensing equipment.
  • RFID radio frequency identification
  • GPS global positioning system
  • laser scanners and other information sensing equipment.
  • the terminal device may also be a wearable device.
  • Wearable devices can also be called wearable smart devices or smart wearable devices, etc. It is a general term for using wearable technology to intelligently design daily wear and develop wearable devices, such as glasses, gloves, watches, clothing and shoes Wait.
  • a wearable device is a portable device that is directly worn on the body or integrated into the user's clothes or accessories. Wearable devices are not only a kind of hardware device, but also realize powerful functions through software support, data interaction, and cloud interaction.
  • wearable smart devices include full-featured, large-sized, complete or partial functions that can be achieved without relying on smart phones, such as smart watches or smart glasses, and only focus on a certain type of application function, and need to cooperate with other devices such as smart phones.
  • Use such as all kinds of smart bracelets, smart helmets, smart jewelry, etc. for physical sign monitoring.
  • the various terminal devices described above if they are located on the vehicle (for example, placed in the vehicle or installed in the vehicle), can be regarded as vehicle-mounted terminal equipment, for example, the vehicle-mounted terminal equipment is also called on-board unit (OBU). ).
  • OBU on-board unit
  • the terminal device may also include a relay. Or it can be understood that everything that can communicate with the base station can be regarded as a terminal device.
  • the device for realizing the function of the terminal device may be a terminal device, or a device capable of supporting the terminal device to realize the function, such as a chip system, and the device may be installed in the terminal device.
  • the chip system may be composed of chips, or may include chips and other discrete devices.
  • the device used to implement the functions of the terminal is a terminal device as an example to describe the technical solutions provided in the embodiments of the present application.
  • Network equipment including, for example, access network (AN) equipment, such as a base station (e.g., access point), which may refer to equipment that communicates with wireless terminal equipment through one or more cells on the air interface in the access network
  • AN access network
  • a base station e.g., access point
  • V2X vehicle-to-everything
  • the base station can be used to convert the received air frame and IP packet to each other, as a router between the terminal device and the rest of the access network, where the rest of the access network can include the IP network.
  • the RSU can be a fixed infrastructure entity that supports V2X applications, and can exchange messages with other entities that support V2X applications.
  • the network equipment can also coordinate the attribute management of the air interface.
  • the network equipment may include the LTE system or the evolved base station (NodeB or eNB or e-NodeB, evolutional Node B) in the long term evolution-advanced (LTE-A), or may also include the fifth-generation mobile Communication technology (the 5th generation, 5G) NR system (also referred to as NR system) next generation node B (next generation node B, gNB) or may also include cloud radio access network (cloud radio access network, Cloud RAN) system Centralized unit (CU) and distributed unit (DU) in, the embodiment of the present application is not limited.
  • 5G 5th generation
  • NR system also referred to as NR system
  • next generation node B next generation node B
  • cloud radio access network cloud radio access network
  • Cloud RAN Centralized unit
  • DU distributed unit
  • the network equipment may also include core network equipment.
  • the core network equipment includes, for example, access and mobility management functions (AMF) or user plane functions (UPF) in the 5G system. Etc., or include the mobility management entity (mobility management entity, MME) in the 4G system.
  • AMF access and mobility management functions
  • UPF user plane functions
  • MME mobility management entity
  • the device used to implement the function of the network device may be a network device, or a device capable of supporting the network device to implement the function, such as a chip system, and the device may be installed in the network device.
  • the device used to implement the functions of the network equipment is a network device as an example to describe the technical solutions provided in the embodiments of the present application.
  • Radio resource control In LTE, two RRC states are supported, namely, the RRC idle state (RRC_IDLE) and the RRC connected state (RRC_CONNECTED). In NR, the RRC inactive state (RRC_INACTIVE) is introduced, that is, three states are supported in NR, RRC idle state (RRC_IDLE), RRC inactive state (RRC_INACTIVE), and RRC connected state (RRC_CONNECTED). Among them, one of the different RRC states You can switch between.
  • QoE Quality of experience
  • the access volume refers to the total amount of terminal equipment accessing the cell, and the access volume changes dynamically.
  • the QoE of the same cell in different time periods can be different.
  • the access volume is small during off-peak period, and the network is relatively smooth.
  • the access volume is large and the network freezes.
  • the QoE of different cells in the same time period is not the same.
  • the network is relatively smooth, and when it accesses cell B, the network freezes; it may be because at the said time.
  • cell A has more access volume and cell B has less access volume, so cell B has a better network experience.
  • the scenes of network freezes include, for example, when the user uses the video playback app in the terminal device to play an online video (such as a movie), there is a freeze; or, when the user browses the web page using the web browsing app in the terminal device, web content appears.
  • the loading fails or it takes a long time to wait, etc.
  • QoE may also be referred to as a name such as service experience and network experience, which is not limited in the embodiment of the present application.
  • the mobility management mechanism of the terminal is a mechanism proposed to ensure that the terminal device has continuous network services, including cell handover or cell reselection.
  • Cell handover means that a terminal device in a connected state switches from the current cell to another cell through neighboring cell measurement.
  • Cell reselection refers to a process in which a terminal device in an idle state or in an inactive state selects the best cell to provide network services by monitoring the signals of the serving cell and neighboring cells.
  • the process of performing cell reselection by the terminal device may include: the network device sends a neighbor cell list to the terminal device, and the neighbor cell list includes information about one or more neighbor cells of the serving cell, such as the frequency of the neighbor cell or the neighbor cell list. The frequency and cell identity of the zone. Assuming that the terminal device camps on cell A, the neighbor cell list includes information about one or more neighbor cells of cell A, such as cell B and cell C. The terminal device measures the serving cell and the neighboring cell based on the neighboring cell list to obtain the reference signal receiving power (RSRP) and/or the reference signal receiving quality (RSRQ) of the serving cell and the neighboring cell. Generally, the terminal device will select a cell with a higher RSRP or RSRQ. For example, if the RSRQ of cell B is greater than that of cell A and cell C, then the terminal device selects cell B to access.
  • RSRP reference signal receiving power
  • RSRQ reference signal receiving quality
  • Step 1 Measure the RSRP and RSRQ of the serving cell and neighboring cells.
  • Step2 Carry out the evaluation of high-priority cells.
  • the network side configures the priority relationship between different cells for the terminal device.
  • the terminal device After the terminal device measures the RSRP and RSRQ of the serving cell and neighboring cells, it can first measure the energy and quality of the high-priority cell (the priority is higher than the serving cell) to evaluate. When the following conditions are met, cell reselection is performed, and the conditions include: the energy of the neighboring cell is greater than the energy threshold configured on the network side or the quality of the neighboring cell is greater than the quality threshold configured on the network side, and the reselection evaluation time is reached.
  • Step3 Perform equal priority cell evaluation.
  • Equal priority cells refer to cells with the same priority as the serving cell.
  • the terminal device detects that the following conditions are met, the cell reselection is performed, the conditions include: Rn>Rs, and the evaluation time is reached, where Rs is the serving cell, Rn is the neighboring cell, Rn and Rs Meet the following relationships:
  • Q meas,s is the Q meas of the serving cell
  • Q meas,n is the Q meas of the neighboring cell
  • Qoffset s,n is the energy offset between the serving cell and the neighboring cell.
  • Step4 Perform low-priority cell evaluation.
  • a low-priority cell refers to a neighboring cell with a lower priority than the serving cell.
  • the energy of the serving cell is less than the threshold configured on the network side and the energy of the neighboring cells is greater than the threshold configured on the network; and the reselection evaluation time is reached; or,
  • the quality of the serving cell is less than the threshold configured by the network and the quality of the neighboring cell is greater than the threshold configured by the network, and the reselection evaluation time is reached.
  • the main steps of cell handover specified in the existing agreement include:
  • Step1 Perform measurement on the RSRP and RSRQ of the serving cell and neighboring cells.
  • Step2 When the conditions of the measurement event configured on the network side are met, a measurement report is reported to the network side, and the measurement report includes the measurement results of the serving cell and neighboring cells.
  • Step3 The network executes the UE handover process to the target cell according to the measurement report.
  • the network device switches the terminal device from the serving cell to the target cell according to the measurement report, and the RSRP or RSRQ of the target cell is higher than that of the serving cell. That is to say, different from cell reselection, during the cell handover process, the terminal equipment reports the measurement report to the network equipment, and the network equipment executes the cell handover process based on the measurement report.
  • both cell reselection and cell handover are performed based on the measurement result of the terminal device, specifically, the cell with the higher RSRP or RSRQ in the measurement result is selected for access.
  • the terminal device resides in cell A and detects that the RSRP or RSRQ of neighboring cell B is high, and the terminal device switches from cell A to cell B.
  • the QoE of cell B is not necessarily good.
  • the user access volume of cell B is relatively high, which causes network stalls after terminal equipment accesses cell B, which affects user experience.
  • an embodiment of the present application provides a cell selection method, in which a terminal device can select a cell with a better QoE experience quality for access.
  • Fig. 1 is a schematic diagram of an application scenario provided by an embodiment of this application.
  • the terminal equipment is in the coverage of cell A.
  • the terminal equipment performs neighbor cell measurement, and measures the information of cell B and cell C.
  • the RSRQ ranking result of cell A, cell B, and cell C is cell B>cell C>cell A.
  • the terminal equipment should select cell B to access.
  • the terminal device can learn the QoE of the cell A, the cell B, and the cell C, and select a cell with a better QoE for access.
  • the terminal device selects cell C to access. Therefore, the cell selected by the cell selection method provided by the embodiment of the present application is different from the cell selected based on the existing mechanism, and the cell selected by the cell selection method provided by the embodiment of the present application can provide better QoE.
  • the QoE of a cell refers to the network quality experience in the process of data interaction with the cell after the terminal device accesses the cell. Simply put, it is the experience of the user using the terminal device to surf the Internet after the terminal device accesses the cell.
  • the terminal device may evaluate the cell QoE through one or more evaluation indicators, the evaluation indicators including but not limited to network throughput rate, transmission rate, time delay, packet loss rate, bit error rate, etc. For example, taking the transmission rate as an example, when the transmission rate is higher, the QoE is considered better. When the transmission rate is low, the QoE is considered poor.
  • the evaluation indicators including but not limited to network throughput rate, transmission rate, time delay, packet loss rate, bit error rate, etc. For example, taking the transmission rate as an example, when the transmission rate is higher, the QoE is considered better. When the transmission rate is low, the QoE is considered poor.
  • a more intuitive evaluation method is to provide multiple performance labels (or can also be referred to as performance levels), such as smooth, normal, and stuck.
  • the terminal equipment marks the cell with different performance labels according to the evaluation index (such as time delay, transmission rate) of the cell.
  • the evaluation process of the cell QoE can be understood as the process of marking the performance label of the cell.
  • the terminal device determines the cell when the delay is less than the first threshold. When the terminal device determines that the delay is within the range of the second threshold and the first threshold, the performance label of the cell is determined to be normal. When the terminal device determines that the delay is greater than the second threshold, it determines the performance label of the cell It is a stutter, where the first threshold is lower than the second threshold.
  • the terminal device considers it to be smooth when it determines that at least one of the following conditions is met; the conditions include but are not limited to: the delay is less than the delay threshold 1, the packet loss rate is less than the packet loss rate threshold 1, the transmission bandwidth is greater than the bandwidth threshold 1. ,and many more.
  • the terminal device considers it to be stuck when it determines that at least one of the following conditions is met; the conditions include but are not limited to: the delay is greater than the delay threshold 2, the packet loss rate is greater than the packet loss rate threshold 2, the transmission bandwidth is less than the bandwidth threshold 2. Wait.
  • the terminal device in addition to the three performance labels of smooth, normal and stuttering, the terminal device also has more labels, for example, including four performance labels of smooth, normal, stuttering, and severe stuttering; or, including very smooth, There are five performance labels: Normally Smooth, Normal, Stuttering, and Severe Stuttering; and so on.
  • the terminal device can also only set two performance tags, such as smoothness and stuttering.
  • the three performance labels of smooth, normal and stutter are mainly introduced as examples.
  • the evaluation result obtained from the QoE evaluation of the cell may be a performance label.
  • the evaluation result can also be a score.
  • the terminal device marks each cell with a performance label, such as smooth, normal, and stuck.
  • a performance label such as smooth, normal, and stuck.
  • the QoE of a cell is affected by the amount of access, and the amount of access changes dynamically. For example, if the amount of access in a certain period of time is small, the QoE is better, and in another period of time, the amount of access becomes larger and the QoE becomes worse. Therefore, after a terminal device accesses a cell, it can evaluate the QoE of the cell in real time, that is, mark the performance label in real time.
  • the QoE process of cell A includes a data statistics process and a score calculation process.
  • terminal equipment can collect data in real time (for example, every second). For example, the data collected in the first second after the terminal equipment accesses cell A is shown in Table 2:
  • the terminal device can determine whether the screen is currently on, and collect data if the screen is on, otherwise no data is collected. And/or, the terminal device can determine whether it is currently connected to the mobile network, if it is, then collect data, otherwise, it will not collect data. For example, if the terminal device detects that it is currently connected to a 3G or 4G mobile network, it will collect data, and if it detects that it is currently connected to wireless wifi, it will not collect data.
  • the terminal device may mark the performance label every certain time (for example, every second/every few seconds/every tens of seconds/every minute, etc.). In this case, the terminal device will get a large amount of data, and the collected data can be counted, as shown in Table 5 below:
  • the terminal device determines the performance label every second from the time of 09:00:00.
  • 09:00:00 may be the time when the terminal device accesses cell A, or the preset time after accessing cell A
  • the preset time is, for example, the time when the terminal device first uses the network after accessing cell A, or It is a fixed time after the moment of access to cell A, etc., which is not limited in the embodiment of the present application.
  • the terminal device will obtain the performance label corresponding to a large number of time points in cell A, and then it can count the cumulative number of corresponding performance labels in the time period (or time slice) where a large number of time points are located. For example, see Table 6 below:
  • the time period in Table 6 may be a time period including all collection time points. For example, it is the time period between the earliest collection time point and the latest collection time point; for example, the above table 5 takes 5 collections as an example, so the time period is 5s.
  • the time period can be longer, for example, from 09:00:00 to 10:00:00 to collect all the time, then the time period is one hour, that is, 09:00:00 to 10:00:00.
  • the time period can also be preset, for example, 24 hours a day, the time period is divided into 24 by default, and each time period is 1 hour. For example, the default 09:00:00 to 10:00:00 is a time period.
  • the score of cell A can be calculated, where the calculation method of the score result can include:
  • the terminal device sets the stutter weight, general weight and smooth weight.
  • the smooth weight is the highest, the general weight is lower than the smooth weight, and the stutter weight is lower than the general weight.
  • the maximum weight is 100
  • the smooth weight is 100
  • the general weight is 70
  • the stutter weight The value is 40
  • the fluent weight, general weight, and fluent weight can be any value in the interval range or the interval range, for example, the interval range of the fluent weight is (80, 100]; the interval of the general weight The range is (60, 80), and the interval range of the stutter weight is (40, 60].
  • the calculated score is a numerical range.
  • the calculated scoring result is a specific value.
  • the stutter weight, general weight, and smooth weight can be a preset fixed value or a fixed interval range; or, the stutter weight, general weight, and smooth weight can also be adjusted, for example, the user can
  • the terminal device can provide a weight adjustment interface, in which the current stutter weight, general weight, and smooth weight are displayed. The user can adjust the stutter weight, general weight or value in the interface. Fluency weight.
  • the terminal device is set to four performance labels, such as smooth, normal, lagging, and severe lagging; then the corresponding weights can be set as: smooth weighting 100, general weighting 80, and lagging weighting 60 , Severe stuttering weight is 40; or, the interval range of smooth weights is (80, 100]; the interval range of general weights is (60, 80), and the interval range of stuttering weights is (40, 60]; The range of severe lag is (20, 40). It should be noted that regardless of the number of performance tags, the calculation method of the score results is the same. In this article, three performance tags are used: smooth, normal and lag Take an example to introduce the calculation process of scoring results.
  • the scoring result of the cell satisfies:
  • i is the i-th performance label of the cell
  • Xi is the probability of occurrence of the i-th performance label
  • Yi is the corresponding to the i-th performance label
  • the weight wherein the sum of the weights corresponding to all the performance tags is 1; wherein, the performance tag is the level divided by the terminal device for the network performance of the cell.
  • the above steps (1) to (3) are the scoring results in the time period 09:00:00-09:00:04 after the terminal device accesses the cell A on July 1.
  • the aforementioned scoring result X1 is the evaluation result of the terminal device on the cell A on July 1st.
  • it is possible to continue to learn the cell A for example, when the terminal device accesses the cell A next time, it may continue to learn the evaluation result of the cell A.
  • the time when the terminal device accesses cell A again on July 2 may be different from the time when it accesses on July 1. For example, it connects to cell A on the morning of July 1, but on July 2 Access to cell A at night. In this case, the collection time of the terminal equipment on July 2 and the collection time of July 1 do not overlap. In this case, the terminal equipment can use a similar method to collect statistics at 7. The cumulative number of times at multiple collection time points on the night of the 2nd of the month and calculate the score results. The principle is the same as that of the score results in Table 6 above, except that a time period in the evening does not overlap with the time period in Table 6 .
  • terminal equipment accesses cell A on the morning of July 2 as an example (that is, the time when the terminal equipment accesses cell A on July 1 overlaps with the time when it accesses cell A on July 2), the introduction of terminal equipment continues Learn the process of community A.
  • the terminal equipment will mark the performance label at regular intervals (for example, every second). For example, see Table 7 below:
  • the terminal device can obtain the performance labels corresponding to the cell A at a large number of time points on July 2, and can count the cumulative number of corresponding performance labels in the time period (or time slice) where the large number of time points are located, for example, See Table 8 below:
  • the collection time point may not be included in Table 8 above.
  • the calculation method of X2 is similar to the calculation method of X1 in the foregoing, and the details are not repeated here. It should be noted that X2 is the evaluation result of the terminal device on the cell A in the time period 09:00:00-09:00:04 on July 2nd.
  • the terminal device can iterate the evaluation result of the same day on July 1 and the evaluation result of the same day on July 2 to obtain the final evaluation result.
  • the terminal device can update the above-mentioned Table 6 based on Table 8 to obtain Table 9, and Table 9 can also be understood as the data superimposition result of Table 8 and Table 6.
  • the collection time point may not be included in Table 9 above.
  • the cumulative number of days in Table 9 refers to the cumulative number of days that the terminal device learns the community A in the time period of 09:00:00-09:00:04; the cumulative number of jams includes the time period of 09:00 on July 1st.
  • the score X3 is the evaluation result of the terminal equipment on the cell A based on the statistical data of July 1st and July 2nd.
  • X3 is the average value of X1 and X2,
  • the historical stall rate refers to the probability of a network stall after the terminal device is connected to cell A in history.
  • the historical general rate refers to the probability that a terminal device appears in a general network after connecting to cell A in history.
  • historical general rate historical general cumulative times/historical total times
  • historical total times historical jamming times + historical smooth cumulative times +The general cumulative number of times in history.
  • the historical general rate 2/10.
  • the terminal equipment again counts the data in the time period of 09:00:00-09:00:04 on July 3, you can use any of the above methods 1 to 3 to calculate the score of cell A .
  • the evaluation result of the day on July 3 is X4, then the final evaluation result is the average value of X1, X2, and X4; assuming the above method 2 is used, the final evaluation result is X1, X2, and X4 Weighted average.
  • the final score can be calculated as follows:
  • the terminal device can learn the scoring result of the cell A, and the scoring result can be used to characterize the QoE of the cell A in the time period (09:00:00-09:00:04) to a certain extent.
  • the data statistics process can occur in real time after the terminal device is connected to cell A, and the scoring calculation process can be performed in real time. For example, every time data statistics is performed, the score calculation is performed immediately, or the scoring calculation process can also be performed in Occurs at a fixed time every day. For example, after the terminal device counts the data on July 1st, the scoring result of cell A is calculated at a fixed time on July 1 (for example, 24:00 in the evening). For another example, after the terminal device counts the data on the day of July 2, at a fixed time on July 2 (such as 24:00 in the evening), the final evaluation result of the cell A is determined based on the evaluation result of the day and the historical evaluation result.
  • the terminal device performs the scoring calculation process during idle time, such as the idle time of the terminal device when the screen is turned off, or the scoring calculation process is performed when it is determined that the screen off time is greater than the preset time, or the terminal device determines the number of running applications When the number is less than the preset number, the scoring calculation process is executed, etc., which is not limited in the embodiment of the present application.
  • Table 9 in order to conveniently record the historical statistical results and the statistical results of the day, the above-mentioned Table 9 may also be in the form of the following Table 10:
  • the collection time point may not be included in Table 10 above.
  • the cumulative number of stuttering is the sum of the cumulative number of stuttering on July 1 and the cumulative number of stuttering on July 2.
  • the smooth cumulative number is the same as the general cumulative number and can be used to calculate the historical scoring results.
  • the last cumulative number of freezes refers to the cumulative number of freezes on July 2; the last cumulative number of smooth runs refers to the cumulative number of smooth runs on July 2; the most recent general cumulative number of times refers to the general number on July 2 Cumulative times; can be used to calculate the scoring results of the day; the most recent date refers to July 2. It should be understood that if the terminal device again counts the data in the time period of 09:00:00-09:00:04 on July 3, it is enough to update the above table 10.
  • the aging data can be understood as data before a preset time, such as data one week ago or data one month ago. For example, if the accumulated days in Table 6 reach the preset number of days (such as 7 days or 15 days or 30 days), the data before the preset number of days can be deleted, that is, the data before the preset number of days is not used to calculate the scoring result.
  • the terminal device may perform QoE learning for each cell that has been accessed, or may perform QoE learning for only cells in a fixed scenario.
  • the fixed scene includes home, company, route to get off work, route to work, etc.
  • the method for the terminal device to determine whether to enter a fixed scene includes but is not limited to the following methods:
  • the terminal device Confirm to enter the fixed scene through GPS. For example, if the terminal device detects that the GPS in a specific time period in history is basically position 1, it will use the position 1 as a fixed scene, for example, the GPS in the historical time period from 9 am to 18 pm Basically, they are all location 1, and the location 1 is marked as "company”, then when the terminal device detects that the current GPS is location 1, it determines that the current scene is "company”. For another example, historically, the GPS from 7:00 pm to 8:00 am is location 2, and location 2 is marked as "home”. Then, when the terminal device detects that the current GPS is location 2, it determines that the current scene is "home”.
  • the fence can be composed of wifi information.
  • the terminal device detects that the surrounding wifi information in a specific time period in history is basically (wifi1, wifi2, wifi3), then (wifi1, wifi2, wifi3) is used as a fixed The fence corresponding to the scene.
  • the surrounding wifi information from 9 am to 18 pm is basically (wifi1, wifi2, wifi3), mark this (wifi1, wifi2, wifi3) as the fence corresponding to "company” .
  • the terminal device detects that the surrounding wifi information is consistent with (wifi1, wifi2, wifi3) or there is little difference, it determines that the current scene is "company”.
  • the surrounding wifi information from 7 pm to 8 am are (wif4, wifi5, wifi6), then (wif4, wifi5, wifi6) is used as the fence corresponding to "home", when the terminal device detects When the surrounding wifi information is consistent with (wif4, wifi5, wifi6) or there is little difference, the current scene is determined to be "home”.
  • the fence can also have other forms.
  • the fence can also be composed of cell information of the mobile network. If the cells are all (cell 1, cell 2, cell 3), then cell A and neighboring cells (cell 1, cell 2, cell 3) are used as fences corresponding to the fixed scene.
  • the terminal device only learns the QoE of a cell in a fixed scene, one possible way is, for example, the terminal device detects that the current scene is "home" and learns the QoE of multiple cells in the current scene, where the current scene
  • the multiple cells of refers to cells that can be detected and can camp on normally in the current scenario. For example, at home, the terminal device can detect that there are multiple surrounding cells.
  • the terminal device can actively connect to each cell to learn the QoE of each cell, or the terminal device can learn the cell after accessing a certain cell. After switching to another cell, learn the QoE of the other cell.
  • Table 11A is an example of collecting data of each cell after the terminal device is connected to each cell in different scenarios.
  • Scene represents the scene
  • Time represents the collection time point
  • SIM SerCGI represents the cell global identity (CGI) of the serving cell (cell global identity, CGI) of the subscriber identity module (SIM) in the mobile phone.
  • CGI can be the Identity of the cell, CID for short.
  • SIM SerRSRP represents the RSRP of the serving cell of the SIM card in the mobile phone
  • SIM SerRSRP represents the RSRP of the serving cell of the SIM card in the mobile phone.
  • Table 11A Data collection of cells in different scenarios
  • the terminal device can count the cumulative statistics of the performance label of the cell corresponding to the scene "home” and the corresponding QoE learning result, that is, the score. It can also calculate the statistics of the cell corresponding to the scene "company".
  • the cumulative statistical results of the performance tags and the corresponding QoE learning results please refer to the introduction of 1.3 in the foregoing embodiment 1 for details, and details are not repeated here.
  • Table 11B is the cumulative statistical results and QoE learning results of the cells (such as cell A and cell B) corresponding to the scene "home”.
  • RSRP and RSRQ are converted into an index.
  • RSRP-60dBm ⁇ -80dBm is converted into index "1", “excellent” or “high”
  • RSRP-80dBm ⁇ -100dBm is converted into index "0", "poor” or "low”.
  • the RSRQ value -60dBm ⁇ -80dBm is converted into index "1", “excellent” or “high”
  • the RSRQ value -80dBm ⁇ -100dBm is converted into index "0", “poor” or “low”.
  • the time period can also be converted into a time index, for example, 8:00-9:00 is converted into a time index "8", and 18:00-19:00 is converted into a time index "18". Therefore, the table corresponding to the above table 11A can be replaced with the following table 11C:
  • Method 1 Establish and store the corresponding relationship between the cell and the scoring result.
  • the terminal device in the above learning process, there is no need to record the time period. For example, if the terminal device is connected to cell A in a certain time period and learns that the score result of cell A is X, then X is used as the final score of the cell As a result, rather than as the result of the score of the cell A in the time period.
  • the terminal device no matter in which time period the terminal device is connected to the cell A, it can learn the scoring result of the cell A, and then synthesize the scoring results of the cell A in each time period to obtain the final score. In this case, the terminal device obtains the scoring result of each cell, and the scoring result is not divided into different time periods. For example, see Table 12 below for examples of scoring results for each cell.
  • the scoring result of each cell may be a specific numerical value or an interval range (see the introduction above), which is not limited in the embodiment of the present application.
  • the terminal device can store the corresponding relationship between the cell and the scoring result, as shown in Table 12.
  • the target cell can be selected based on the corresponding relationship, such as directly selecting the cell with the highest scoring result, or comparing the cell
  • the measurement result is suppressed or enhanced, and a cell is selected based on the suppressed or enhanced measurement result (specifically, the description of the method A to the method C in the following embodiment 2).
  • the corresponding relationship can be updated.
  • the score of the cell stored in the corresponding relationship is actually a historical score. After the terminal device accesses the cell A again on the same day, the score of the cell A is obtained on the same day, and the score of the day and the corresponding relationship Synthesize the historical scores in to get the final score of community A.
  • Method 2 Establish and store the correspondence between the cell, time period, and scoring result.
  • the terminal device may record the scoring results of each cell in different time periods.
  • different time periods correspond to different scoring results.
  • Table 13 which is an example of the scoring results of each cell.
  • the scoring results of cell A or cell B in the two time periods are different; in this way, the terminal device can select a more suitable target cell based on different time periods.
  • the terminal device can store the correspondence between the cell, the time period, and the scoring result, such as Table 13.
  • the scoring result such as Table 13.
  • the terminal device can store the correspondence between the cell, the time period, and the scoring result, such as Table 13.
  • the cell is selected based on the evaluation result, for example, the cell with the highest score is directly selected, or the cell measurement result is suppressed or enhanced based on the score result, and the cell is selected based on the suppressed or enhanced measurement result (specifically, method A in Example 2 below) To the introduction of method C).
  • the corresponding relationship can also be updated, which will not be repeated here.
  • Method 3 Establish and store the correspondence between scenes, communities, time periods, and scoring results.
  • the terminal device learns a cell in a fixed scene, in this case, the terminal device can store the corresponding relationship between the scene, the time period, the cell and the scoring result. For example, Table 14 below:
  • the above tables can also be simplified, for example, the specific time period information such as 8:00-9:00 is converted to the time index "8", such as the time period 9:00-10:00 is converted to Time index "9".
  • invalid data can be filtered.
  • Invalid data can include data without QoE.
  • terminal equipment stalls, but the stalls are caused by many running applications and system crashes.
  • the network is stuck, then the stuck times cannot be counted into the cumulative number of stuck times; or, the invalid data may also include stuck caused by a server failure; for example, there is uplink data but no downlink data,
  • the freeze cannot be counted into the cumulative number of freezes.
  • the learning process of the QoE of the above-mentioned cell may be implemented through the first algorithm model.
  • the input parameter of the first algorithm model may be other data except for the score in Table 6, and the output parameter is the score result X1.
  • the input parameter of the first algorithm model may be other data except the score result in Table 8 above, and the output parameter is the score X2; or, the input parameter of the first algorithm model may also be the score X3 in Table 9 above.
  • the output parameter is X3.
  • the first algorithm model can be a decision tree, logistic regression (LR), naive Bayes (NB) classification algorithm, random forest (RF) algorithm, support vector machines (support vector machines) , SVM) algorithm, histogram of oriented gradients (HOG), neural network, deep neural network, convolutional neural network, etc.
  • the first algorithm model may be a model that is built before leaving the factory and stored in the terminal device; or, the initial model is stored at the factory, and the first algorithm model is a model obtained after training the initial model.
  • the training process can be understood as inputting input parameters to the initial model, and calculating the output result (scoring result). If the output result does not match the real result, adjust the initial model so that the output result of the adjusted model is as good as possible
  • the model after accessing the real results and adjusting the model parameters is the first algorithm model.
  • This embodiment introduces a process in which a terminal device selects a target cell based on the historical QoE of the cell.
  • FIG. 3 is a schematic flowchart of a cell selection method provided by an embodiment of this application.
  • the process of this method includes:
  • S200 The terminal device detects multiple cells.
  • the "detected cell” may be understood as a plurality of cells that meet the selection conditions determined through cell measurement. For example, if the terminal device is in the connected state, multiple cells that meet the cell handover conditions (such as RSRP or RSRQ higher than the serving cell) can be determined. If the terminal device is in the idle state, multiple cells that meet the cell reselection conditions can be determined (such as in the preceding paragraph). The cell of Step2 to Step4) in the process of cell renewal. The multiple cells may include the current serving cell and neighboring cells of the terminal device.
  • the "cell detection" process can be performed in real time.
  • the terminal device obtains the historical QoE of each of the N cells, where the N cells are all or part of the multiple cells.
  • the terminal device obtains the historical QoE of the cell at a certain trigger timing, where the trigger timing includes, for example, at least one of the following:
  • the historical QoE of the cell is obtained. If multiple cells are detected, the historical QoE of all or part of the multiple cells is acquired.
  • the detected cell is different when the location of the terminal device changes. Therefore, when the location of the terminal device changes or the amount of change is greater than a preset value, the cell is detected, and then the historical QoE of the cell is obtained.
  • the terminal device Assuming that the terminal device is currently connected to cell A, when the terminal device detects that the signal strength of cell A is lower than the threshold, it means that the terminal device needs to move out of the serving cell, such as moving to the edge area of the serving cell. At this time, the terminal device can detect the cell , And then obtain the historical QoE of the cell, and select the cell based on the historical QoE.
  • the terminal device detects that it enters a fixed scene, it detects the cell, and then obtains the historical QoE of the cell. For example, if the terminal device detects that it enters the fixed scene "home”, it selects a target cell from multiple cells corresponding to "home” based on the above-mentioned Table 11C or Table 14. Among them, the way the terminal device detects that it enters a fixed scene please refer to 1.4 in Embodiment 1 above.
  • the terminal device detects the cell at a fixed time point, and then obtains the historical QoE of the cell.
  • the fixed time point is, for example, the hour of the hour, and the hour of the hour is such as 8 o'clock, 9 o'clock, 10 o'clock, and so on.
  • the fixed time point may be a preset time before the hour, such as 8:59, 9:59, 10:59, and so on.
  • the fixed time point may be the start time acquisition of the time period (or time slice), for example, if the time period is 09:00-10:00, then the fixed time point is 09:00 or 09:01.
  • historical QoE includes the evaluation result of historical QoE.
  • the evaluation result can be a scoring result, where the process of scoring the result can be referred to the introduction of Embodiment 1, or it can be a performance label, such as smoothness, stuttering, and so on.
  • the following uses scoring as an example.
  • the corresponding relationship between the cell and the scoring result can be stored in the terminal device, such as Table 12; or the corresponding relationship between the cell, time period and the scoring result, such as Table 13 or Table 14.
  • the terminal device may obtain the cell identity of the cell by acquiring the historical QoE of the cell, and determine the historical QoE corresponding to the cell identity in the foregoing correspondence based on the cell identity. If it is the corresponding relationship of the time period shown in Table 13 or Table 14. Then, obtaining the historical QoE of the cell by the terminal device may include: obtaining the historical QoE of the cell at the current time point; for example, if the current time point is 8:30, the terminal device obtains the historical QoE of the cell in a time period including 8:30.
  • obtaining the historical QoE of the cell by the terminal device may further include: obtaining the historical QoE of the cell in a future time period.
  • the future time period refers to the preset time period after the current time point, such as the time closer to the current time point. For example, if the current time point is 8:59, the future time period can be 9:00-10:00. period.
  • obtaining the historical QoE scoring result of the cell by the terminal device may refer to obtaining the historical scoring result of the cell and the current scoring result of the cell, and then obtaining the final scoring result of the cell based on the historical scoring result of the cell and the scoring result of the day.
  • the process of obtaining the final scoring result of the community based on the historical scoring result of the community and the scoring result of the day please refer to the previous introduction.
  • the terminal device obtains the historical scoring results of the cell in the time period of 8:30 (such as 8:00-9:00) and the terminal device is at 8:30 on July 5th.
  • the scoring results of the day in this time period of 00-8:30 are based on the scoring results of the day and the historical scoring results to get the final scoring results. In this way, the terminal device considers the scoring result of the day, which is more accurate.
  • S202 The terminal device selects a target cell from multiple cells based on historical QoE.
  • the terminal device may store the historical QoE of all or part of the multiple cells. Therefore, the following two situations are introduced.
  • N cells are all cells of multiple cells.
  • the terminal device suppresses or enhances the direct measurement result (first measurement result) of each cell based on the historical QoE of each cell, and selects the cell based on the suppressed or enhanced measurement result. Specifically, it can be carried out by way 1 or way 2 as follows.
  • the terminal device suppresses the first measurement result of the cell based on the suppression strategy, and selects the cell based on the suppressed measurement result. Specifically, the terminal device obtains the first measurement results of the N cells, which may be performed in S200, or may be performed after S200. Among them, the process of obtaining the first measurement result of the cell by the terminal device can be understood as cell measurement, for example, the physical layer performs cell measurement, and then reports the measurement result to a higher layer such as the RRC layer; the measurement process can be referred to the previous description and will not be repeated here. Go into details.
  • the terminal equipment suppresses the first measurement result of each cell based on the historical QoE of each of the N cells, obtains the second measurement result, and selects the cell with the highest measurement result in the second measurement result or the cell with the measurement result greater than the threshold as Target cell. For example, suppose that the terminal equipment detects the first measurement results of cell A, cell B, and cell C as shown in Table 15 below:
  • Scoring result Inhibition level (90 points, 100 points) -0dbm
  • the terminal device determines the corresponding suppression level after obtaining the respective scoring results of cell A, cell B, and cell C.
  • the corresponding suppression level range is -0dbm ⁇ -3dbm
  • the terminal device can select any suppression value in the range -0dbm ⁇ -3dbm to suppress the measurement result P1 of cell A;
  • the suppression is equal to the measurement result P1 plus the selected suppression value.
  • the suppression process for cell B and cell C is similar, and will not be repeated.
  • the suppressed measurement results of cell A, cell B, and cell C, that is, the second measurement result are shown in Table 17:
  • the terminal device determines which cell has the highest RSRQ in the second measurement result, and then accesses which cell. For example, if P2-5dbm is greater than P1-3dbm and P3-15dbm, cell B is selected.
  • the above Table 16-Correspondence between Inhibition Level and Scoring Results can also be replaced with Table 18: Correspondence between Stall Rate and Inhibition Level, where the higher the stutter rate, the more inhibition .
  • the terminal device can suppress the first measurement result of the cell based on the stall rate of the cell.
  • Caton rate Inhibition level 0%-10% -0dbm 10%-20% -0dbm to -3dbm 20%-50% -3dbm to -10dbm 50%-80% -10dbm to -20dbm 80%-100% -20dbm or more
  • Mode 2 which is different from the suppression strategy of Mode 1, in Mode 2 is an enhancement strategy.
  • the terminal device enhances the measurement results of each cell based on the historical QoE score results of each of the N cells, and obtains the first 2. Measurement results, selecting the cell with the highest measurement result or higher than the threshold in the second measurement result as the target cell.
  • the terminal device can store the corresponding relationship between the scoring result and the enhancement level. For example, see Table 19 below for the enhancement levels corresponding to different scoring results.
  • Scoring result Enhanced level (90 points, 100 points) Above 20dbm (80 points, 90 points) 10dbm ⁇ 20dbm (70 points, 80 points) 3dbm ⁇ 10dbm (60 minutes ⁇ 70 minutes) 0dbm ⁇ 3dbm 60 or less 0
  • the terminal device can select any enhancement value in the range 10dbm ⁇ 20dbm to enhance the measurement result P1 of cell A; the enhancement mentioned here It means adding the selected enhancement value to the measurement result P1. For example, if the enhancement value is 10dbm and P1 is -80dbm, then the enhanced measurement result is -70dbm.
  • the enhancement process for cell B and cell C is similar, and the details are not repeated.
  • a total of three cells are detected, cell A to cell C, and the historical QoE of cell A and cell C are stored in the terminal device, but the historical QoE of cell B is not stored.
  • the terminal device can detect the first measurement result of cell A, the first measurement result of cell B, and the first measurement result of cell C. Since cell A and cell C have historical QoE, the terminal device can suppress or enhance the first measurement result of cell A based on the historical QoE of cell A to obtain the second measurement result of cell A; based on the historical QoE of cell C The first measurement result of cell C is suppressed or enhanced, and the second measurement result of cell C is obtained. Based on the second measurement result of cell A, the second measurement result of cell C, and the ranking result of the first measurement result of cell B, the terminal device determines the cell with the highest measurement result or higher than the threshold as the target cell.
  • the above method 1 and method 2 can be used in combination. For example, when the score result of the cell is greater than the threshold, the enhancement strategy is used, and when the score result of the cell is less than the threshold, the suppression strategy is used.
  • the terminal device selects a cell with a historical QoE score greater than the threshold. If the number of cells with a score greater than the threshold is 1, then the cell is selected as the target cell. If the number of cells with a score greater than the threshold is greater than 1, the cell with the highest score is selected as the target cell. Target cell, or select the cell with the highest signal strength as the target cell. In this way, when the terminal device selects the target cell, only the scoring result of the cell is considered, and the measurement result does not need to be suppressed or enhanced, which is relatively simple.
  • the terminal device may select the cell with the highest fluency rate or the fluency rate greater than the threshold, and/or the cell with the lowest stall rate or the stall rate below the threshold, where the calculation method of the fluency rate and the stall rate is described in the previous embodiment 1.3 in 1.
  • the cell with the strongest RSRP and/or RSRQ among the multiple cells may be selected.
  • S203 The terminal device camps on the target cell.
  • the terminal device camping on the target cell may include multiple situations. For example, if the original serving cell of the terminal device is the target cell, no action is performed. For another example, if the terminal device is originally not in the target cell and is in an idle state, then the terminal device needs to initiate cell reselection and camp on the target cell. Among them, refer to the previous introduction for the cell reselection process. For another example, if the terminal device is originally not in the target cell and is in the connected state, it executes the cell handover process and switches to the target cell, where the cell handover process is described in the foregoing.
  • the terminal device may select a cell with QoE, such as cell A or cell C, or it may select a cell without QoE, such as cell B. Since the terminal device does not have the historical QoE of cell B, that is, the terminal device does not know what the QoE of cell B is.
  • the fast learning strategy can be started.
  • the so-called fast learning strategy can be understood as the learning of the cell QoE in Example 1 above. The process is executed immediately. Through the fast learning strategy, the performance or score of the cell B can be learned, and based on the learning result of the cell B, it is judged whether to continue to camp in the cell B or to reselect the cell.
  • the above-mentioned rapid learning strategy includes the following method 1 or method 2:
  • Method 1 After the terminal equipment resides in small B, the performance label of cell B is determined. For the manner of determining the performance label by the terminal device, refer to 1.2 in Example 1. If the performance label of cell B meets the following preset conditions, continue to camp on cell B, and the preset conditions include:
  • the performance label of cell B is smooth; or,
  • the number of times the performance label of cell B is smooth in the preset time period is greater than the preset number; or,
  • the network performance of cell B is smooth for a preset duration; or,
  • the terminal device detects multiple cells and compares the performance labels of multiple cells.
  • the performance labels of cell B are smooth, and the performance labels of other cells are "normal” or “stuck", or the performance of cell B within a preset time period
  • the number of smooth tags is the highest relative to other cells;
  • the above-mentioned preset conditions can be used alone or in combination. For example, if the performance label of cell B is smooth, you can continue to camp on cell B without considering the performance label of other cells; if the performance label of cell B is "general” "Or “stuck", you can find cells with smooth performance labels from other cells.
  • the other cell may be the original cell A, or other neighboring cells of cell B (excluding neighbors other than cell A). Area).
  • multiple cells detected by the terminal device other cells are the cells with the strongest QoE, such as the highest score among multiple cells, or the multiple cells detected are suppressed (or enhanced) based on a suppression strategy (or enhanced measurement),
  • Mode 1 or Mode 2 in Embodiment 2 for details.
  • the handover of terminal equipment from cell B to other cells may include multiple situations: for example, if the terminal equipment selects cell B and camps on cell B and is in the connected state, it executes the cell handover procedure to switch to other cells. Among them, refer to the foregoing description for the cell handover process. For another example, if the terminal device is in an idle state after selecting cell B and camping on cell B, it executes the cell reselection procedure to reselect to other cells. Among them, refer to the foregoing description for the cell reselection process.
  • Method 1 is relatively simple. It does not need to count the smooth cumulative times, the cumulative times of freezes, the scoring results, etc., to save time, for example, only collect data (such as delay, transmission rate) once after switching to cell B, and pass the data Determine the performance label of cell B, and determine whether to stay in cell B based on the performance label. Therefore, method 1 can quickly determine the performance of cell B.
  • Method 2 After the terminal equipment resides in small B, count the cumulative number of performance labels of cell B. For example, count the cumulative results of the performance labels of cell B from the moment of handover to cell B. For example, similar to Table 6, the terminal equipment can Obtain the score result of cell B. Assuming that the terminal device determines that the scoring result of cell B is greater than the threshold and/or is greater than the scoring result of the original cell A, it continues to camp on cell B; otherwise, it switches to another cell. Or, if it is determined that the stall rate of cell B is lower than the threshold and/or is lower than the stall rate of original cell A, then continue to camp on cell B, otherwise switch to another cell.
  • the method for selecting other cells may be the method 1 or the method 2 in the above-mentioned embodiment 2.
  • the cumulative number of performance tags of cell B is counted, and a more accurate evaluation result of cell B can be obtained based on the cumulative number of performance tags of cell B.
  • the terminal device collects multiple sets of data (delay, transmission rate, etc.), and each set of data can determine a performance label, and then count the cumulative times of the performance label to obtain a more accurate evaluation result.
  • it takes a certain time to count the cumulative number of performance tags of cell B in method 2, so it can be controlled within a certain time period, such as 2s, 3s, 5s, 7s, 10s, etc., assuming that data (hours) is collected every second. Delay, transmission rate, etc.), if the duration is 5s, there are five sets of data that can be used for statistics.
  • the terminal device can set two cell selection mechanisms, namely the first selection mechanism and the second selection mechanism.
  • the first selection mechanism is for example the existing mechanism described above.
  • This selection mechanism can be understood as a signal strength priority mechanism. ; That is, the target cell is selected based on the directly detected measurement results, for example, the signal strength of cell A and cell B (such as RSRQ) is detected, and the cell with the strongest signal strength is selected to camp on.
  • the second selection mechanism is the selection mechanism provided by the embodiment of this application. This selection mechanism can be understood as a mechanism that prioritizes user experience, that is, the target cell is selected based on the QoE scoring result (for example, method A or method B in the above embodiment 2) .
  • a network search master control module is provided in the terminal device, and the network search master control module can specify the first selection mechanism or the second selection mechanism described above. If the first selection mechanism is specified, the cell is selected based on the first selection mechanism, and if the second selection mechanism is specified, the cell is selected based on the second selection mechanism. Among them, the search network main control module can decide whether to specify the first selection mechanism or the second selection mechanism according to a certain strategy.
  • the second selection mechanism is used by default, and when the user specifies the first selection mechanism, the first selection mechanism is used.
  • the method specified by the user is, for example, displaying a cell selection mechanism switching button on the interface of the terminal device, and the user controls the switching between the first selection mechanism and the second selection mechanism by controlling the switching button.
  • the terminal device accesses a cell, but detects that all neighboring cells of the cell have no learning results. In this case, the terminal device can use the first selection mechanism. If all neighboring cells have no QoE learning results, the terminal device is not clear about the QoE of the neighboring cell. In order to learn the QoE of the neighboring cell, the cell can be selected based on the first selection mechanism. After learning the QoE of the neighboring cell, it is based on QoE Selecting a cell can avoid switching to a cell with poor QoE.
  • the terminal device accesses a cell, but it is detected that the scoring results of the neighboring cells of the cell are all lower than the threshold.
  • the terminal device can use the first selection mechanism.
  • the QoE of all neighboring cells is poor, it means that the network experience of all neighboring cells is not good.
  • the cell with the highest RSRP and/or RSRQ can be selected for access based on the first selection mechanism, because RSRP and/ Or a cell with a higher RSRQ can carry a large amount of access.
  • the cell selected by the terminal equipment using the first selection mechanism and the second selection mechanism is different. For example, suppose the terminal device is currently connected to cell A, and the terminal device moves to a certain position W within a certain period of time, and it detects that the neighboring cells include cell B and cell C. Based on the first selection mechanism, the terminal device will select cell B. Because the RSRQ of cell B is greater than that of cell A and cell C. Assume that after the terminal device is connected to cell B, the QoE is the first QoE. In the same location W above, in the same time period, the terminal device will select cell C when using the second selection mechanism. Although the RSRQ of cell C may be lower than that of cell B, the QoE of cell C is better than that of cell B .
  • the QoE is the second QoE.
  • the second QoE is better than the first QoE.
  • the first QoE includes: after the terminal device is connected to cell B, the transmission rate is the first rate, the transmission delay is the first delay, the bit error rate is the first bit error rate, etc., where the transmission rate, Please refer to the introduction of 1.2 in Embodiment 1 for time delay and bit error rate.
  • the second QoE includes, for example, after the terminal device is connected to cell C, the transmission rate is the second rate, the transmission delay is the second delay, the bit error rate is the second bit error rate, etc., where the transmission rate, time delay, Please refer to the introduction of 1.2 in Example 1 for bit error rate.
  • the second QoE is better than the first QoE, including: the second rate is greater than the first rate, and/or, the second delay is less than the first delay, and/or, the second error rate is lower than the first error rate ,and many more.
  • network freezes will occur. For example, if there is a freeze during online video playback, browse In the process of the webpage, the content of the webpage cannot be loaded after a delay, and so on. However, at the same location and within the same time period, after the terminal device chooses to connect to cell C based on the second selection mechanism, the network is smooth. For example, there is no freeze during online video playback, and web page content can be loaded faster when browsing web pages. ,and many more.
  • the terminal equipment includes a modem (modem), which is responsible for data transmission with other equipment such as network equipment, a scene recognition module, which is used for scene recognition; a cell evaluation module, which is used to evaluate the cell, such as determining the scoring result of the cell,
  • modem modem
  • the cell selection module is used to select the target cell.
  • any two or more of the scene recognition module, the cell evaluation module, and the cell selection module can be integrated into one physical device (such as an application processor), or the scene recognition module, the cell evaluation module, and the cell selection module can be integrated They are located in different physical devices and are not limited in the embodiment of the present application.
  • the process of the method includes:
  • the modem sends cell information to the cell selection module.
  • the cell information may be the information of the serving cell of the terminal device, including, for example, cell identification, signal strength, and so on. It can be understood that, before step S501, a step of detecting cell information by the modem is also included. For example, the modem receives a system message broadcast by the serving cell, and the system message includes the information of the serving cell.
  • S502 The cell evaluation module evaluates the QoE of the cell to obtain a scoring result, and sends the scoring result to the cell selection module. Among them, S502 includes S502a and S502b.
  • S502a and S502b For the learning process of the cell assessment module, please refer to the introduction of Embodiment 1 above.
  • S503 The scene recognition module performs scene recognition, and sends the result of the scene recognition to the cell selection module. Among them, S503 includes S503a and S503b. Among them, the scene recognition process corresponding to the scene recognition module refers to 1.4 in Embodiment 1 above, and details are not repeated here. Step S503 is an optional step, because the terminal device may not need to perform scene identification, such as learning for each cell that has been accessed, so step S503 is represented by a dotted line in the figure. The execution sequence of steps S501 to S503 is not limited in the embodiment of the present application.
  • the cell selection module establishes a correspondence between the scene, the cell information, and the scoring result of the cell.
  • the foregoing correspondence relationship may also include a time period.
  • the correspondence relationship may be the correspondence relationship shown in Table 14 above.
  • the above steps S501 to S504 can be understood as the learning stage of the terminal device, that is, the stage of learning the score of the cell, so S501 to S503 can be performed multiple times.
  • the cell selection module can obtain the learning results of each cell in multiple scenarios, for example Correspondence shown in Table 14.
  • the terminal device when it detects that it has jumped from one time period to another (such as jumping from 8:00-9:00 to 9:00-10:00), it enters the "use phase" and the terminal device performs the scene Identification and detection of cell information. If it is determined that there is a learning result of the detected cell in the current time period in the stored cell learning results, a strategy is generated and sent to the modem to execute the strategy through the modem. For details, refer to the introduction of S505 to S516 below.
  • S505 The scene recognition module performs scene recognition, and sends the result of the scene recognition to the cell selection module.
  • S505 includes S505a and S505b.
  • the modem sends cell information to the cell selection module. It should be understood that, before step S506, the modem may perform cell measurement to obtain cell information.
  • the cell information may include information about a serving cell, and may also include information about neighboring cells. For example, the terminal device currently resides in cell A and detects that the neighboring cells include cell B and cell C. Then the cell information may include cell A, cell B, and cell C information. It is worth noting that the cell information in step S506 in the use phase and step S501 in the learning phase may be different.
  • the cell information in the learning phase may be the information of the serving cell of the terminal device, because the terminal device in the learning phase needs to learn the serving cell
  • the cell information in step S506 can include information about the serving cell or neighboring cell, because in the use phase, the terminal device expects to select the appropriate cell to access based on the QoE learning results of the serving cell and neighboring cells .
  • the cell selection module determines multiple cells corresponding to the scene in the foregoing correspondence relationship, and determines the scoring results corresponding to the multiple cells. Taking the scenario of "home" as an example, assuming that there are 5 cells corresponding to the storage scenario in the correspondence relationship, taking cell information including cell A, cell B, and cell C as an example, the terminal device determines cell A, cell A, and cell C among the five cells. Scoring results corresponding to cell B and cell C.
  • the cell selection module determines a strategy based on the scoring result.
  • the strategy may be a suppression strategy, that is, the cell selection module may determine the suppression level corresponding to the cell based on the correspondence between the scoring result and the suppression level (for example, Table 16 above), that is, the suppression strategy includes the suppression level corresponding to the cell. See Table 20 below for an example of a strategy (suppression strategy) determined by the cell selection module.
  • the above suppression strategy can also be replaced with an enhancement strategy, see the introduction above for details.
  • the cell selection module sends the determined strategy to the modem. Assuming that the strategy is the above table 16, the cell selection module can send the above table to the modem.
  • the cell selection module can determine whether a specific condition is met, if so, then the strategy is sent, otherwise the strategy is not sent.
  • the specific condition includes at least one:
  • the total number of QoE statistics is greater than the threshold; the total number of QoE statistics is the sum of the cumulative number of historical stalls, the cumulative number of historical fluency, and the total number of historical general cumulative times; or,
  • the cumulative number of days exceeds a certain number of days, of which; the cumulative number of days can be referred to the introduction of 1.3 in Example 1 above.
  • S510 The modem suppresses the corresponding cell based on the execution strategy. It is understandable that if the strategy determined in S508 is a suppression strategy, the measurement result of the cell is suppressed, and if the strategy determined in S508 is an enhancement strategy, the measurement result of the cell is enhanced. Taking the suppression strategy as an example, the Modem can detect the measurement results of cell A, cell B, and cell C.
  • the modem When the modem receives the strategy, it suppresses the measurement result of cell A based on the suppression level of cell A, suppresses the measurement result of cell B based on the suppression level of cell B, and performs the measurement result of cell C based on the suppression level of cell C Suppression (refer to Embodiment 2 for the suppression process), and obtain the suppression measurement results of cell A, cell B, and cell C, such as Table 17 above.
  • the modem selects a target cell. That is, the modem selects the target cell based on the suppressed measurement results of the cell A, the cell B, and the cell C.
  • the modem selects the target cell based on the suppressed measurement results of the cell A, the cell B, and the cell C.
  • steps S508-S510 are optional steps, because the terminal device can directly send the scoring result corresponding to the cell to the modem after performing step S507, so you can use the step "cell selection module to send the scoring result corresponding to the cell to the modem "To replace steps S508-S510.
  • selecting the target cell by the modem in S511 may refer to selecting the target cell based on the score result corresponding to the second cell. The measurement results of the cell are suppressed.
  • Step S512 The modem sends a notification for instructing the execution of the strategy to the cell selection module. Step S512 is an optional step and may not be executed.
  • the terminal device may monitor the cell change within T time, and if the changed cell is not in the learning result, it performs a quick evaluation strategy on the changed cell to determine whether to cancel the strategy.
  • the time slice length>T>0 the time slice length is the time period in the foregoing embodiment 1.
  • the evaluation result of the changed cell is calculated through the rapid evaluation strategy, and if the evaluation result is poor, the strategy (such as the suppression strategy) is cancelled.
  • the poor evaluation result of the changed cell includes: the score or the stuck rate of the changed cell is greater than the threshold or higher than the cell before the change; indicating that the QoE of the cell after the handover is poor, and the suppression strategy can be canceled at this time.
  • S513 to S518 describe the quality of the cell.
  • S513 The cell selection module judges whether the serving cell has changed, if so, execute S514, if not, continue to execute S513.
  • the serving cell of the terminal device changes in real time, and the change of the serving cell can be detected.
  • S514 The cell selection module judges whether the changed cell is in the strategy, if not, execute S515, if yes, execute S515.
  • the strategy includes the learning results of cell A, cell B, and cell C.
  • the learning result of cell D is not included (for example, the terminal device has not learned the QoE of cell D, so there is no learning result of cell D in the above strategy).
  • the terminal device can execute a rapid evaluation strategy, namely S516.
  • S515 The cell selection module sends a notification message for continuing to execute the strategy to the Modem.
  • S515 is an optional step and may or may not be executed. For example, when the modem does not receive a policy cancellation notification, it continues to execute the policy by default. In this case, S515 may not be executed.
  • the cell selection module executes a quick evaluation strategy. Among them, the execution process of the rapid evaluation strategy can be referred to the foregoing embodiment 2, which will not be repeated here.
  • the cell selection module judges whether the evaluation result of the changed cell is lower than the threshold or lower than the cell before the change. If yes, go to S518, otherwise, go to S513. Among them, the evaluation result includes the score or the stuck rate; therefore, the evaluation result of the changed cell is lower than the threshold or lower than the cell before the change, including: the rapid evaluation strategy determines that the score of the changed cell is lower than the threshold or lower than the threshold The score of cell A; or, through a quick evaluation strategy, it is determined that the stuck rate of the changed cell is higher than the threshold or higher than the stuck rate of cell A. It should be understood that, in addition to the score or the freeze rate, the evaluation result may also include the fluency rate. Therefore, the evaluation result of the changed cell is lower than the threshold or lower than the cell before the change, and may also include: The fluency rate is lower than the threshold or lower than the fluency rate of the cell before the change.
  • the cell selection module sends a notification for indicating the cancellation strategy to the modem.
  • the serving cell of the terminal device changes from cell A to cell D, but cell D does not exist in the above strategy.
  • the evaluation result of cell D (such as score or stall rate) is lower than the threshold or lower than cell A
  • the modem if the modem continues to execute the strategy, it will always suppress the measurement results from cell A to cell C, and the terminal equipment is based on If the suppressed measurement result selects the target cell, it will not be able to recover from cell A to cell C as soon as possible, so the cell selection module informs the modem to cancel the execution of the strategy.
  • the cell selection module can cancel the enhancement when the evaluation result of the cell after the change is higher than the threshold or higher than the cell before the change Strategy, because the QoE of the changed cell is better, if you continue to implement the enhanced strategy and select a cell based on the enhanced measurement results, it is likely to switch to other cells. To avoid this, you can cancel the enhanced strategy.
  • the evaluation result of the changed cell is higher than the threshold or higher than the cell before the change, including: the score of the changed cell is higher than the threshold or higher than the score of the cell before the change, or the freeze of the changed cell
  • the fluency rate is lower than the threshold or lower than the cell before the change, or the fluency rate of the cell after the change is higher than the threshold or higher than the fluency rate of the cell before the change.
  • step S528 other steps may be included, such as the execution of the modem cancellation strategy, of course, it may also include the modem sending a notification that the execution of the strategy has been cancelled to the cell selection module, and so on.
  • a cell whose evaluation result is lower than a threshold can be regarded as a black cell.
  • the so-called black cell can be understood as a cell that will not be handed over to the terminal device, and can also be understood as a cell that is added to the blacklist.
  • the cells whose evaluation results are lower than the threshold include: cells whose score is lower than the threshold, the stall rate is higher than the threshold, or the smooth rate is lower than the threshold.
  • the difference between this embodiment and the embodiment shown in FIG. 4 is that the cell selection module in FIG. 4 is integrated in the modem, that is, the function of the cell selection module is performed by the modem.
  • the scene recognition module and the cell evaluation module may be located in the same device, such as an application processor, or may be located in different devices, which is not limited in the embodiment of the present application.
  • the process includes:
  • S601 The modem detects cell information.
  • S602 The cell evaluation module evaluates the QoE of the cell, obtains a scoring result, and sends the scoring result to the modem. Among them, S602 includes S602a and S602b.
  • S603 The scene recognition module performs scene recognition, and sends the result of the scene recognition to the cell selection module. Among them, S603 includes S603a and S603b.
  • Step S603 is an optional step.
  • the execution sequence of steps S601 to S603 is not limited in the embodiment of the present application.
  • S604 The modem establishes a correspondence between the scene, the cell information, and the scoring result of the cell.
  • S605 The scene recognition module performs scene recognition, and sends the result of the scene recognition to the modem.
  • S605 includes S605a and S605b.
  • S606 The modem detects the cell information.
  • the modem determines multiple cells corresponding to the scene in the foregoing correspondence relationship, and determines scoring results corresponding to the multiple cells.
  • the modem determines a strategy based on the scoring result.
  • S609 The modem suppresses the corresponding cell based on the strategy.
  • the modem selects a target cell.
  • Steps S608-S609 are optional steps.
  • the terminal device can directly perform S610 after performing step S607.
  • the modem selection of the target cell in S610 may refer to the selection of the target cell based on the scoring result corresponding to the cell, such as which cell’s The cell with the highest score is selected, without suppressing the cell strategy result.
  • step S611 The modem judges whether the serving cell has changed, if so, execute step S612, if not, continue to execute step S611.
  • S612 The modem judges whether the changed cell is in the strategy, if not, execute step S613, if yes, execute S609 or S610.
  • the modem executes a rapid evaluation strategy.
  • S614 The modem determines whether the evaluation result of the changed cell is lower than the threshold or lower than the cell before the change, if yes, execute S615, if not, execute S611.
  • S615 The modem cancels the execution of the strategy.
  • the protocol layer of device A includes four layers as an example: application (app) layer, transmission layer such as transmission control protocol (TCP) Layer, network layer, data link layer,
  • the process of sending data by device A includes: sending data from the application layer in device A to the transmission (TCP) layer, sending it to the network layer through the TCP layer, and then sending it to the data link through the network layer Layer, and finally sent out through the data link layer.
  • the process of device A receiving data includes: receiving data through the data link layer, passing it to the network layer, then passing it to the TCP layer, and finally passing it to the application layer.
  • the QoE evaluation indicators of a cell include time delay, transmission rate, etc.
  • time delay can be the delay of the application layer, the delay of the TCP layer, the delay of the network layer, or the data link. Layer delay and so on.
  • the application layer delay can refer to the time from the application layer of the sender to the application layer of the receiver; or it refers to the time of the data from the application layer of the sender to the application layer of the receiver, plus the data from the receiver application. The time from the layer to the application layer of the sender.
  • the delay of the TCP layer can refer to the time from the TCP layer of the sending end to the TCP layer of the receiving end, or the time from the TCP layer of the sending end to the TCP layer of the receiving end, and then Add the time from the TCP layer of the receiving end to the TCP layer of the sending end.
  • FIG. 6 is a schematic flow chart of a cell selection method provided by an embodiment of this application, and the flow includes:
  • S701a The application layer or the TCP layer sends first information to the cell evaluation module.
  • the first information may include delay, transmission rate, etc., where the delay may be the delay of the application layer or the delay of the TCP layer; the transmission rate may be the transmission rate of the application layer, or it may be The transmission rate of the TCP layer.
  • the first information can be used to evaluate the QoE of the cell.
  • Step S701a is an optional step, because the terminal device can also evaluate the QoE of the cell based on the time delay and transmission rate of the data link layer.
  • the modem sends cell information to the cell evaluation module.
  • the cell information is the information of the serving cell of the terminal device.
  • the modem may also send the delay and transmission rate detected by the modem to the cell evaluation module, which may include the delay and transmission rate of the data transmission link layer.
  • the cell evaluation module evaluates the cell, and obtains a scoring result of the cell.
  • the cell evaluation module may evaluate the cell based on the first information. For example, if the delay in the first information is low, it is evaluated as stuck, and if the delay is high, it is evaluated as smooth. And/or, when the delay and transmission rate detected by the modem are included in S701b, the cell can also be evaluated based on the delay and transmission information in S701b. High, it is evaluated as smooth.
  • the cell evaluation module performs scene recognition, and obtains a result of the scene recognition.
  • the cell evaluation module establishes a correspondence between the scene, the cell information, and the scoring result of the cell.
  • S701 to S704 can be understood as the learning stage of the terminal device, so S701 to S704 can be executed multiple times, for example, each time it is executed, the evaluation result of a cell can be detected. Therefore, the terminal device can obtain the scoring results of multiple cells in different scenarios.
  • S705a The application layer or the TCP layer sends the second information to the cell evaluation module.
  • the second information may include delay, transmission rate, etc., where the delay may be the delay of the application layer, or the delay of the TCP layer; the transmission rate may be the transmission rate of the application layer, or it may be The transmission rate of the TCP layer.
  • the cell evaluation module receives cell information from the modem, where the cell information may include information about the serving cell or neighboring cells; optionally, S705b may also include the delay and transmission rate detected by the modem, where It can include the time delay and transmission rate of the data transmission link layer.
  • step S705a is an optional step, because the second information is the delay, transmission rate, etc. of the use phase, while the delay, transmission rate, etc. of the learning phase of S701a, so the second information is relative to the first information.
  • the first information is historical information
  • the third information is current information. Therefore, if S705a is executed, the terminal device can perform comprehensive evaluation based on the historical information and current information (refer to the previous embodiment 1 to determine the comprehensive The process of evaluating the results), of course, it is also possible if S705a is not executed.
  • the cell assessment module performs scene recognition, and obtains a result of the scene recognition.
  • the cell evaluation module determines multiple cells corresponding to the scene in the foregoing correspondence relationship, and determines the scoring results corresponding to the multiple cells.
  • the cell evaluation module determines a strategy based on the scoring result.
  • the cell evaluation module sends the strategy to the modem.
  • S710 The modem suppresses the corresponding cell based on the strategy.
  • the modem selects a target cell.
  • S712 The modem sends a notification for indicating the execution of the strategy to the cell evaluation module.
  • step S713 the modem judges whether the serving cell has changed, if so, execute step S714, if not, continue to execute step S713.
  • S715 The cell evaluation module sends a notification to the modem to continue executing the strategy.
  • the modem executes a rapid evaluation strategy.
  • S717 The modem judges whether the evaluation result of the changed cell is lower than the threshold or lower than the cell before the change, if yes, execute S718, if not, execute S713.
  • the cell evaluation module sends a notification for indicating the cancellation strategy to the modem.
  • the cell selection module is integrated in the modem, that is, the function of the cell selection module in the embodiment shown in FIG. 6 is implemented by the modem.
  • FIG. 7 it is a schematic flowchart of a cell selection method provided by an embodiment of this application, and the process includes:
  • S801 The application layer or the TCP layer sends the first information to the modem.
  • S802 The modem detects cell information.
  • S803 The modem evaluates the cell and obtains a scoring result of the cell.
  • S804 The modem performs scene recognition, and obtains a result of the scene recognition.
  • S805 The modem establishes a correspondence between the scene, the cell information, and the scoring result of the cell.
  • S806 The application layer or the TCP layer sends the second information to the modem.
  • S807 The modem detects cell information.
  • the modem performs scene recognition, and obtains a result of the scene recognition.
  • the modem determines the scoring results of multiple cells corresponding to the scene in the foregoing correspondence relationship.
  • the modem determines a strategy based on the scoring result.
  • the modem suppresses the corresponding cell based on the strategy.
  • S812 The modem selects a target cell.
  • S814 The modem judges whether the changed cell is in the strategy, if not, execute step S815, if yes, execute S811 or S812.
  • the modem executes a rapid evaluation strategy.
  • S816 The modem judges whether the evaluation result of the changed cell is lower than the threshold or lower than the cell before the change, if yes, execute S817, if not, execute S813.
  • Figure 8 is a schematic diagram of a structure of the terminal device.
  • the terminal device may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, and a battery 142, Antenna 1, antenna 2, mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, earphone interface 170D, sensor module 180, button 190, motor 191, indicator 192, camera 193, A display screen 194, a subscriber identification module (SIM) card interface 195, and so on.
  • SIM subscriber identification module
  • the processor 110 may include one or more processing units.
  • the processor 110 may include an application processor (AP), a modem (modem), a graphics processing unit (GPU), and an image signal processor ( image signal processor, ISP), controller, memory, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (NPU), etc.
  • the different processing units may be independent devices or integrated in one or more processors.
  • the controller can be the nerve center and command center of the terminal device. The controller can generate operation control signals according to the instruction operation code and timing signals to complete the control of fetching instructions and executing instructions.
  • a memory may also be provided in the processor 110 to store instructions and data.
  • the memory in the processor 110 is a cache memory.
  • the memory can store instructions or data that have just been used or recycled by the processor 110. If the processor 110 needs to use the instruction or data again, it can be directly called from the memory. Repeated accesses are avoided, the waiting time of the processor 110 is reduced, and the efficiency of the system is improved.
  • the processor 110 integrates an application processor and a modem (modem), and the functions of the application processor and the modem are described in FIG. 4 to FIG. 7.
  • modem modem
  • the USB interface 130 is an interface that complies with the USB standard specification, and specifically may be a Mini USB interface, a Micro USB interface, a USB Type C interface, and so on.
  • the USB interface 130 can be used to connect a charger to charge the terminal device, and can also be used to transfer data between the terminal device and peripheral devices.
  • the charging management module 140 is used to receive charging input from the charger.
  • the power management module 141 is used to connect the battery 142, the charging management module 140 and the processor 110.
  • the power management module 141 receives input from the battery 142 and/or the charge management module 140, and supplies power to the processor 110, the internal memory 121, the external memory, the display screen 194, the camera 193, and the wireless communication module 160.
  • the wireless communication function of the terminal device can be realized by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modem processor, and the baseband processor.
  • the antenna 1 and the antenna 2 are used to transmit and receive electromagnetic wave signals.
  • Each antenna in the terminal device can be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization.
  • Antenna 1 can be multiplexed as a diversity antenna of a wireless local area network.
  • the antenna can be used in combination with a tuning switch.
  • the mobile communication module 150 can provide wireless communication solutions including 2G/3G/4G/5G, etc., which are applied to terminal devices.
  • the mobile communication module 150 may include at least one filter, a switch, a power amplifier, a low noise amplifier (LNA), and the like.
  • the mobile communication module 150 can receive electromagnetic waves by the antenna 1, and perform processing such as filtering, amplifying and transmitting the received electromagnetic waves to the modem processor for demodulation.
  • the mobile communication module 150 can also amplify the signal modulated by the modem processor, and convert it into electromagnetic waves for radiation via the antenna 1.
  • at least part of the functional modules of the mobile communication module 150 may be provided in the processor 110.
  • at least part of the functional modules of the mobile communication module 150 and at least part of the modules of the processor 110 may be provided in the same device.
  • the wireless communication module 160 can provide applications on terminal devices including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), and global navigation satellite systems. (global navigation satellite system, GNSS), frequency modulation (FM), near field communication (NFC), infrared technology (infrared, IR) and other wireless communication solutions.
  • WLAN wireless local area networks
  • BT Bluetooth
  • GNSS global navigation satellite system
  • FM frequency modulation
  • NFC near field communication
  • IR infrared technology
  • the wireless communication module 160 may be one or more devices integrating at least one communication processing module.
  • the wireless communication module 160 receives electromagnetic waves via the antenna 2, frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110.
  • the wireless communication module 160 may also receive a signal to be sent from the processor 110, perform frequency modulation, amplify, and convert it into electromagnetic waves to radiate through the antenna 2.
  • the antenna 1 of the terminal device is coupled with the mobile communication module 150, and the antenna 2 is coupled with the wireless communication module 160, so that the terminal device can communicate with the network and other devices through wireless communication technology.
  • the wireless communication technology may include global system for mobile communications (GSM), general packet radio service (GPRS), code division multiple access (CDMA), broadband Code division multiple access (wideband code division multiple access, WCDMA), time-division code division multiple access (TD-SCDMA), long term evolution (LTE), BT, GNSS, WLAN, NFC , FM, and/or IR technology, etc.
  • the GNSS may include global positioning system (GPS), global navigation satellite system (GLONASS), Beidou navigation satellite system (BDS), quasi-zenith satellite system (quasi -zenith satellite system, QZSS) and/or satellite-based augmentation systems (SBAS).
  • GPS global positioning system
  • GLONASS global navigation satellite system
  • BDS Beidou navigation satellite system
  • QZSS quasi-zenith satellite system
  • SBAS satellite-based augmentation systems
  • the display screen 194 is used to display the display interface of the application, such as the viewfinder interface of the camera application.
  • the display screen 194 includes a display panel.
  • the display panel can use liquid crystal display (LCD), organic light-emitting diode (OLED), active matrix organic light-emitting diode or active-matrix organic light-emitting diode (active-matrix organic light-emitting diode).
  • LCD liquid crystal display
  • OLED organic light-emitting diode
  • active-matrix organic light-emitting diode active-matrix organic light-emitting diode
  • AMOLED flexible light-emitting diode (FLED), Miniled, MicroLed, Micro-oLed, quantum dot light-emitting diode (QLED), etc.
  • the terminal device may include one or N display screens 194, and N is a positive integer greater than one.
  • the terminal equipment can realize the shooting function through ISP, camera 193, video codec, GPU, display 194 and application processor.
  • the ISP is used to process the data fed back from the camera 193. For example, when taking a picture, the shutter is opened, the light is transmitted to the photosensitive element of the camera through the lens, the light signal is converted into an electrical signal, and the photosensitive element of the camera transmits the electrical signal to the ISP for processing and is converted into an image visible to the naked eye.
  • ISP can also optimize the image noise, brightness, and skin color. ISP can also optimize the exposure, color temperature and other parameters of the shooting scene.
  • the ISP may be provided in the camera 193.
  • the camera 193 is used to capture still images or videos.
  • the object generates an optical image through the lens and is projected to the photosensitive element.
  • the photosensitive element may be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor.
  • CMOS complementary metal-oxide-semiconductor
  • the photosensitive element converts the optical signal into an electrical signal, and then transfers the electrical signal to the ISP to convert it into a digital image signal.
  • ISP outputs digital image signals to DSP for processing.
  • DSP converts digital image signals into standard RGB, YUV and other formats of image signals.
  • the terminal device may include N cameras 193 (for example, an array camera), and N is an integer greater than or equal to 2.
  • Digital signal processors are used to process digital signals. In addition to digital image signals, they can also process other digital signals. For example, when the terminal device selects the frequency point, the digital signal processor is used to perform Fourier transform on the energy of the frequency point.
  • Video codecs are used to compress or decompress digital video.
  • the terminal device can support one or more video codecs.
  • the terminal device can play or record videos in multiple encoding formats, such as: moving picture experts group (MPEG) 1, MPEG2, MPEG3, MPEG4, etc.
  • MPEG moving picture experts group
  • MPEG2 MPEG2, MPEG3, MPEG4, etc.
  • NPU is a neural-network (NN) computing processor.
  • NN neural-network
  • applications such as intelligent cognition of terminal devices can be realized, such as image recognition, face recognition, voice recognition, text understanding, etc.
  • the internal memory 121 may be used to store computer executable program code, where the executable program code includes instructions.
  • the processor 110 executes various functional applications and data processing of the terminal device by running instructions stored in the internal memory 121.
  • the internal memory 121 may include a storage program area and a storage data area.
  • the storage program area can store an operating system, and software codes of at least one application program (for example, an iQiyi application, a WeChat application, etc.).
  • the data storage area can store data generated during the use of the terminal device (for example, captured images, recorded videos, etc.).
  • the internal memory 121 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, a universal flash storage (UFS), and the like.
  • UFS universal flash storage
  • the external memory interface 120 may be used to connect an external memory card, such as a Micro SD card, so as to expand the storage capacity of the terminal device.
  • the external memory card communicates with the processor 110 through the external memory interface 120 to realize the data storage function. For example, save pictures, videos and other files in an external memory card.
  • the internal memory 121 or the external memory may store one or more computer programs.
  • the one or more computer programs include instructions.
  • the terminal device can execute the instructions shown in Figure 3-7. Provided method.
  • the terminal device can implement audio functions through the audio module 170, the speaker 170A, the receiver 170B, the microphone 170C, the earphone interface 170D, and the application processor. For example, music playback, recording, etc.
  • the sensor module 180 may include a pressure sensor 180A, a gyroscope sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, and the environment Light sensor 180L, bone conduction sensor 180M, etc.
  • the pressure sensor 180A is used to sense the pressure signal and can convert the pressure signal into an electrical signal.
  • the pressure sensor 180A may be provided on the display screen 194.
  • the gyro sensor 180B can be used to determine the posture of the body of the terminal device.
  • the angular velocity of the terminal device around three axes ie, x, y, and z axes
  • the air pressure sensor 180C is used to measure air pressure.
  • the terminal device uses the air pressure value measured by the air pressure sensor 180C to calculate the altitude to assist positioning and navigation.
  • the magnetic sensor 180D includes a Hall sensor.
  • the terminal device can use the magnetic sensor 180D to detect the opening and closing of the flip holster.
  • the terminal device when the terminal device is a flip machine, the terminal device can detect the opening and closing of the flip according to the magnetic sensor 180D.
  • the acceleration sensor 180E can detect the magnitude of the acceleration of the terminal device in various directions (generally three axes).
  • the magnitude and direction of gravity can be detected when the terminal device is stationary. It can also be used to identify the posture of the terminal device, and it can be used in applications such as horizontal and vertical screen switching, pedometer and so on.
  • the terminal device can measure the distance by infrared or laser. In some embodiments, when shooting a scene, the terminal device may use the distance sensor 180F to measure the distance to achieve fast focusing.
  • the proximity light sensor 180G may include, for example, a light emitting diode (LED) and a light detector such as a photodiode.
  • the light emitting diode may be an infrared light emitting diode.
  • the terminal device emits infrared light to the outside through the light-emitting diode.
  • Terminal equipment uses photodiodes to detect infrared reflected light from nearby objects. When sufficient reflected light is detected, it can be determined that there is an object near the terminal device.
  • the terminal device can determine that there is no object near the terminal device.
  • the terminal device can use the proximity light sensor 180G to detect that the user holds the terminal device close to the ear to talk, so as to automatically turn off the screen to save power.
  • the proximity light sensor 180G can also be used in leather case mode, and the pocket mode will automatically unlock and lock the screen.
  • the ambient light sensor 180L is used to sense the brightness of the ambient light.
  • the terminal device can adaptively adjust the brightness of the display screen 194 according to the perceived brightness of the ambient light.
  • the ambient light sensor 180L can also be used to automatically adjust the white balance when taking pictures.
  • the ambient light sensor 180L can also cooperate with the proximity light sensor 180G to detect whether the terminal device is in the pocket to prevent accidental touch.
  • the fingerprint sensor 180H is used to collect fingerprints.
  • the terminal device can use the collected fingerprint characteristics to realize fingerprint unlocking, access application locks, fingerprint photographs, fingerprint answering calls, etc.
  • the temperature sensor 180J is used to detect temperature.
  • the terminal device uses the temperature detected by the temperature sensor 180J to execute the temperature processing strategy. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold value, the terminal device executes to reduce the performance of the processor located near the temperature sensor 180J in order to reduce power consumption and implement thermal protection.
  • the terminal device when the temperature is lower than another threshold, the terminal device heats the battery 142 to avoid abnormal shutdown of the terminal device due to low temperature.
  • the terminal device boosts the output voltage of the battery 142 to avoid abnormal shutdown caused by low temperature.
  • Touch sensor 180K also called “touch panel”.
  • the touch sensor 180K may be disposed on the display screen 194, and the touch screen is composed of the touch sensor 180K and the display screen 194, which is also called a “touch screen”.
  • the touch sensor 180K is used to detect touch operations acting on or near it.
  • the touch sensor can pass the detected touch operation to the application processor to determine the type of touch event.
  • the visual output related to the touch operation can be provided through the display screen 194.
  • the touch sensor 180K may also be disposed on the surface of the terminal device, which is different from the position of the display screen 194.
  • the bone conduction sensor 180M can acquire vibration signals.
  • the bone conduction sensor 180M can obtain the vibration signal of the vibrating bone mass of the human voice.
  • the bone conduction sensor 180M can also contact the human pulse and receive the blood pressure pulse signal.
  • the button 190 includes a power-on button, a volume button, and so on.
  • the button 190 may be a mechanical button. It can also be a touch button.
  • the terminal device can receive key input, and generate key signal input related to the user settings and function control of the terminal device.
  • the motor 191 can generate vibration prompts.
  • the motor 191 can be used for incoming call vibration notification, and can also be used for touch vibration feedback. For example, touch operations applied to different applications (such as photographing, audio playback, etc.) can correspond to different vibration feedback effects.
  • the touch vibration feedback effect can also support customization.
  • the indicator 192 may be an indicator light, which may be used to indicate the charging status, power change, or to indicate messages, missed calls, notifications, and so on.
  • the SIM card interface 195 is used to connect to the SIM card. The SIM card can be inserted into the SIM card interface 195 or pulled out from the SIM card interface 195 to achieve contact and separation with the terminal device.
  • FIG. 8 do not constitute a specific limitation on the terminal device.
  • the mobile phone may also include more or less components than those shown in the figure, or combine certain components, or split certain components, or Different component arrangements.
  • the combination/connection relationship between the components in FIG. 8 can also be adjusted and modified.
  • one or more of the scene device module, the cell evaluation module, and the cell selection module may be integrated in the processor 110; for example, the processor 110 integrates applications Processor and modem, then one or more of the scene equipment module, cell evaluation module, and cell selection module can be integrated in the application processor or modem.
  • the processor 110 is a collective term for multiple processors in the terminal device, and the scene device module, the cell evaluation module, and the cell selection module may be integrated in the same processor or different processors among the multiple processors.
  • the plurality of processors includes, for example, an application processor, a modem (modem), a neural network processor, and the like.
  • one or more of the scene device module and the cell evaluation module may be integrated in the processor 110; for example, the processor 110 integrates an application processor and a modem , Then one or more of the scene equipment module and the cell evaluation module can be integrated in the application processor or modem.
  • the processor 110 is a collective term for multiple processors in the terminal device, and the scene device module and the cell evaluation module may be integrated in the same processor or different processors of the multiple processors.
  • the plurality of processors includes, for example, an application processor, a modem (modem), a neural network processor, and the like.
  • one or more modules of the application layer/TCP layer and the cell evaluation module may be integrated in the processor 110; for example, the processor 110 is integrated with the application processor And modem, then one or more of the application layer/TCP layer and cell evaluation module can be integrated in the application processor or modem.
  • the application layer/TCP layer is integrated in the modem
  • the cell evaluation module is integrated in the application processor. middle.
  • the processor 110 is a collective term for multiple processors in the terminal device, and the application layer/TCP layer and the cell evaluation module may be integrated in the same processor or different processors among the multiple processors.
  • the plurality of processors includes, for example, an application processor, a modem (modem), a neural network processor, and the like.
  • the application layer/TCP layer can be integrated in the processor 110; for example, if the processor 110 integrates an application processor and a modem, then the application layer/TCP layer is integrated in the Application processor or modem.
  • FIG. 9 is a block diagram of a hierarchical structure of an electronic device provided by an embodiment of the application.
  • the structure of an electronic device can be a layered architecture, for example, it can be divided into several layers, each with a clear role and division of labor. Communication between layers through software interface.
  • the system is divided into five layers, from top to bottom are the application layer (referred to as the application layer), the application framework layer (framework, FWK), the hardware abstraction layer (HAL), and the kernel layer. , The hardware layer.
  • the application layer can include a series of application packages.
  • Figure 9 only exemplarily draws the camera, gallery, instant messaging applications, etc., in fact, it can also include more applications, for example, it can also include settings, skin modules, user interface (UI), calendar, and call. Maps, navigation, WLAN, Bluetooth, music, video, etc.
  • instant messaging applications may include, for example, Changlian, SMS and other applications.
  • the application framework layer provides an application programming interface (application programming interface, API) and a programming framework for applications in the application layer.
  • the application framework layer can include some predefined functions.
  • the framework layer includes modules such as a scene recognition module, a cell evaluation module, and a cell selection module.
  • a scene recognition module refers to the flow of the scene recognition module in the embodiments shown in FIG. 4 to FIG. 5.
  • the function of the cell evaluation module refer to the flow of the cell evaluation module in the embodiments shown in FIG. 4 to FIG. 6.
  • the function of the cell selection module refer to the flow of the cell selection module in the embodiment shown in FIG. 4.
  • the framework layer may also include other modules, such as window manager service (WMS), content provider, view system, phone manager, resource manager, notification manager, etc.
  • WMS window manager service
  • the window manager is used to manage window programs.
  • the window manager can obtain the size of the display screen, determine whether there is a status bar, lock the screen, take a screenshot, etc.
  • the content provider is used to store and retrieve data and make these data accessible to applications.
  • the data may include videos, images, audios, phone calls made and received, browsing history and bookmarks, phone book, etc.
  • the view system includes visual controls, such as controls that display text, controls that display pictures, and so on.
  • the view system can be used to build applications.
  • the display interface can be composed of one or more views.
  • a display interface that includes a short message notification icon may include a view that displays text and a view that displays pictures.
  • the phone manager is used to provide the communication function of the electronic device. For example, the management of the call status (including connecting, hanging up, etc.).
  • the resource manager provides various resources for the application, such as localized strings, icons, pictures, layout files, video files, and so on.
  • the notification manager enables the application to display notification information in the status bar, which can be used to convey notification-type messages, and it can automatically disappear after a short stay without user interaction. For example, the notification manager is used to notify download completion, message reminders, and so on.
  • the notification manager can also be a notification that appears in the status bar at the top of the system in the form of a chart or a scroll bar text, such as a notification of an application running in the background, or a notification that appears on the screen in the form of a dialog window. For example, text messages are prompted in the status bar, prompt sounds, electronic devices vibrate, and indicator lights flash.
  • the kernel layer is the layer between hardware and software. As shown in FIG. 9, the kernel layer includes protocol layers such as TCP and IP. For the functions of the TCP layer, refer to the flow of the TCP layer in the embodiments shown in FIG. 6 to FIG. 7. Of course, the kernel layer can also include input device drivers, display drivers, including camera drivers, audio drivers, sensor drivers, and so on.
  • the hardware layer includes application processor (AP) and modem;
  • AP application processor
  • modem modem
  • the application processor is used to execute related procedures for determining the historical QoE of the cell.
  • the application processor is used to obtain the historical QoE of the cell.
  • a scene recognition module and a cell evaluation module can be integrated in the application processor. For specific functions, refer to the foregoing description.
  • the modem is used for execution, cell measurement, suppression or enhancement of cell measurement results, cell selection, etc.
  • a cell selection module can be integrated in the modem.
  • the application processor sends the historical QoE of the cell to the modem; the modem selects the cell based on the historical QoE of the cell.
  • the modem cell selection process includes Case 1 and Case 2 in Embodiment 2, which will not be repeated here.
  • the software structure shown in FIG. 9 does not constitute a specific limitation on the software structure of the electronic device.
  • it may include more or less layers than those in FIG. 3, which is not limited in the embodiment of the present application.
  • references described in this specification to "one embodiment” or “some embodiments”, etc. mean that one or more embodiments of the present application include a specific feature, structure, or characteristic described in combination with the embodiment. Therefore, the sentences “in one embodiment”, “in some embodiments”, “in some other embodiments”, “in some other embodiments”, etc. appearing in different places in this specification are not necessarily All refer to the same embodiment, but mean “one or more but not all embodiments” unless it is specifically emphasized otherwise.
  • the terms “including”, “including”, “having” and their variations all mean “including but not limited to”, unless otherwise specifically emphasized.
  • the method provided in the embodiments of the present application is introduced from the perspective of a terminal device (for example, a mobile phone) as an execution subject.
  • the terminal device may include a hardware structure and/or software module, and realize the above functions in the form of a hardware structure, a software module, or a hardware structure plus a software module. Whether a certain function among the above-mentioned functions is executed by a hardware structure, a software module, or a hardware structure plus a software module depends on the specific application and design constraint conditions of the technical solution.
  • the computer program product includes one or more computer instructions.
  • the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
  • the computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium.
  • the computer instructions may be transmitted from a website, computer, server, or data center.
  • the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center integrated with one or more available media.
  • the usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, and a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)).
  • a magnetic medium for example, a floppy disk, a hard disk, and a magnetic tape
  • an optical medium for example, a DVD
  • SSD solid state disk

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Abstract

本申请实施例提供一种小区选择方法与终端设备。该方法可以可适用于人工智能(artificial intelligence，AI)、机器学习等相关领域。该方法包括: 终端设备检测到多个小区; 所述终端设备获取N个小区中每个小区的历史体验质量QoE，所述N个小区是所述多个小区中的全部或部分小区; N为正整数; 所述历史QoE用于表征所述终端设备历史上在所述每个小区内时的网络使用体验; 所述终端设备基于所述历史QoE，在所述多个小区中选择第一小区; 所述终端设备驻留在第一小区。通过这种方式，终端设备可以接入到体验质量QoE较好的小区，提升网络使用体验。

Description

一种小区选择方法与终端设备
相关申请的交叉引用
本申请要求在2020年05月14日提交中国专利局、申请号为202010405414.8、申请名称为“一种小区选择的方法及装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中；本申请要求在2020年08月26日提交中国专利局、申请号为202010873837.2、申请名称为“一种小区选择方法与终端设备”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信技术领域，尤其涉及一种小区选择方法与终端设备。
背景技术
终端设备比如手机、平板电脑等成为用户日常生活、娱乐、办公等的重要工具。比如，终端设备具有上网功能，用户可以浏览网页、观看在线视频等。
然而，有些场景下，终端设备的上网体验并不好，比如，在家里，用户的终端设备接入小区A，但每天高峰期(比如晚上8点-10点)接入该小区A的终端设备数量较多，导致终端设备出现网络卡顿、甚至无法上网的情况，影响用户体验。
发明内容
本申请的目的在于提供了一种小区选择方法与终端设备，用于提升终端设备的上网体验。
第一方面，提供一种小区选择方法，该方法可以适用于终端设备，终端设备例如包括手机、平板电脑等。该方法包括：终端设备检测到多个小区；所述终端设备获取N个小区中每个小区的历史体验质量QoE，所述N个小区是所述多个小区中的全部或部分小区；N为正整数；所述历史QoE用于表征所述终端设备历史上在所述每个小区内时的网络使用体验；所述终端设备基于所述历史QoE，在所述多个小区中选择第一小区；所述终端设备连接所述第一小区。
在本申请实施例中，终端设备选择小区时，基于小区的历史QoE来选择，区别于现有中基于小区的直接测量结果(即下文的第一测量结果)来选择小区，本申请提供的小区选择方法可以避免接入到网络较差(比如网络卡顿)的小区，提升终端设备的上网体验。
在一种可能的设计中，所述方法还包括：所述N个小区是所述多个小区的全部小区，所述终端设备获取所述N个小区中每个小区的第一测量结果，所述第一测量结果包括参考信号接收功率RSRP和/或参考信号接收质量RSRQ；所述终端设备基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；其中，所述第一小区是所述N个小区中第二测量结果最高的小区或第二测量结果大于阈值的小区。
上述第一测量结果是指对小区的直接测量结果，是未经过抑制或增强的测量结果，第二测量结果不是直接测量结果，是抑制或增强后的测量结果。
本申请实施例中，终端设备检测到多个小区之后，终端设备中可能存储有多个小区中全部或部分小区的历史QoE。假设获取到全部小区的QoE，那么终端设备基于每个小区的QoE对每个小区的第一测量结果进行抑制或增强，基于抑制或增强后的测量结果选择小区。区别于现有中基于小区的第一测量结果来选择小区，本申请提供的小区选择方法可以避免接入到网络较差(比如网络卡顿)的小区，提升终端设备的上网体验。
在一种可能的设计中，所述方法还包括：所述N个小区是所述多个小区中的部分小区，所述终端设备获取所述多个小区中每个小区的第一测量结果，所述第一测量结果包括RSRP和/或RSRQ；所述终端设备基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；所述第一小区是所述N个小区的第二测量结果与剩余小区的第一测量结果中测量结果最高或测量结果大于阈值的小区；其中，所述剩余小区为所述多个小区中除去所述N个小区之外的剩余小区。
本申请实施例中，终端设备检测到多个小区之后，终端设备中可能存储有多个小区中全部或部分小区的历史QoE。假设仅存储了部分小区的QoE，比如检测到三个小区，小区A至小区C，小区A和小区C有QoE，小区B没有QoE，这种情况下，终端设备可以基于小区A的QoE对小区A的第一测量结果进行抑制或增强，基于小区C的QoE对小区C的第一测量结果进行抑制或增强，即终端设备会得到小区A的第二测量结果，以及小区C的第二测量结果，还得到小区B的第一测量结果，此时，基于小区A的第二测量结果、小区C的第二测量结果以及小区B的第一测量结果的排序结果，确定测量结果最高的小区接入。区别于现有中基于小区的第一测量结果来选择小区，本申请提供的小区选择方法可以避免接入到网络较差(比如网络卡顿)的小区，提升终端设备的上网体验。
在一种可能的设计中，所述终端设备基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果，包括：基于所述N个小区中每个小区的历史QoE的评估结果，所述评估结果为所述终端设备历史上连接所述N个小区中每个小区之后基于该小区的网络使用体验对小区的网络性能的评估；基于所述评估结果对每个小区的第一测量结果抑制或增强，得到所述第二测量结果。
在本申请实施例中，终端设备选择小区时，基于小区的历史QoE来选择，具体而言，基于小区的历史QoE的评分结果，对小区的第一测量结果进行抑制或增强得到第二测量结果，基于第二测量结果选择小区。区别于现有中基于小区的第一测量结果来选择小区，本申请提供的小区选择方法可以避免接入到网络较差(比如网络卡顿)的小区，提升终端设备的上网体验。
在一种可能的设计中，基于所述N个小区中每个小区的评估结果对每个小区的第一测量结果抑制或增强，得到所述第二测量结果，包括：
确定所述评估结果确定对应的抑制强度或增强强度；
基于所述抑制强度或增强强度对每个小区的第一测量结果抑制或增强。
在本申请实施例中，终端设备选择小区时，基于小区的历史QoE来选择，具体而言，基于小区的历史QoE的评分结果确定对应的抑制或增强等级，用于对小区的第一测量结果进行抑制或增强得到第二测量结果，基于第二测量结果选择小区。区别于现有中基于小区的第一测量结果来选择小区，本申请提供的小区选择方法可以避免接入到网络较差(比如网络卡顿)的小区，提升终端设备的上网体验。
在一种可能的设计中，所述方法还包括：所述终端设备判断所述第一小区是否存在历 史QoE的评估结果，如果不存在，对所述第一小区的网络性能进行评估得到评估结果；如果所述评估结果满足条件，所述终端设备继续驻留在所述第一小区；如果所述评估结果不满足条件，取消对所述N个小区的第一测量结果的抑制；基于所述N个小区的第一测量结果和所述剩余小区的第三测量结果选择第二小区，从所述第一小区切换到所述第二小区。
继续以前面的例子为例，终端设备检测到小区A、小区B和小区C，终端设备中可能存储有多个小区中全部或部分小区的历史QoE。如果仅存储了部分小区的QoE的话，终端设备可能选择到没有历史QoE的第一小区。因此，本申请实施例中，终端设备还可以判断第一小区是否存在历史QoE的评估结果，如果不存在，对第一小区的网络性能进行评估得到评估结果；如果评估结果满足条件，说明第一小区的网络性能较好，此时可以继续驻留在所述第一小区；否则，说明第一小区的网络性能较差，此时可以取消对N个小区的第一测量结果的抑制，重新选择小区(比如基于小区的第一测量结果选择小区)。
在一种可能的设计中，所述评估结果满足条件，包括：
所述评估结果指示所述第一小区的网络性能为流畅；或者，
所述评估结果指示在预设时长内所述第一小区的网络性能是流畅的次数大于预设次数；或者，
所述评估结果指示所述第一小区的网络性能是流畅的时长大预设时长；或者，
所述评估结果指示所述第一小区的网络性能高于在所述多个邻区的网络性能；或者，
所述评估结果指示所述第一小区的网络性能高于阈值。
也就是说，如果第一小区不存在历史QoE，终端设备可以快速评估第一小区的网络性能得到评估结果，如果评估结果指示第一小区的网络性能是流畅、流畅时长大于预设时长、流畅的次数大于预设次数，或第一小区的网络性能高于周围的其它小区的网络性能，终端设备继续驻留到第一小区，否则，切换到其它的网络性能更高的小区。因此，通过这种方式，终端设备在小区切换过程中，可以接入到网络性能更好的小区。
在一种可能的设计中，历史QoE的评估结果越高，对小区的抑制强度越低，或者，对小区的增强强度越大。
比如，小区A的历史QoE高于小区B的历史QoE，所以小区A的抑制强度低于小区B的抑制强度；那么小区A抑制后的测量结果大于小区B抑制后的测量结果的概率较大，终端设备接入小区A的可能性大。或者，小区A的增强强度高于小区B的增强强度，那么小区A增强后的测量结果大于小区B增强后的测量结果的概率较大，终端设备接入小区A的可能性大。通过这种方式，终端设备可以选择出QoE更好的小区接入，提升网络使用体验。
在一种可能的设计中，所述终端设备获取N个小区中每个小区的历史体验质量QoE，包括：所述终端设备中的应用处理器获取所述N个小区中每个小区的历史QoE；其中，所述每个小区的历史QoE为所述终端设备历史上连接所述每个小区之后基于该小区的网络使用体验对小区的网络性能的评估。
在本申请实施例中，小区的历史QoE的确定过程可以由终端设备中的应用处理器执行。
在一种可能的设计中，所述终端设备基于所述历史QoE，在所述多个小区中选择第一小区，包括：所述应用处理器将所述N个小区中每个小区的历史QoE发送给所述终端设备中的调制解调器modem；以通过所述modem基于所述历史QoE，在所述多个小区中选择第一小区。
在本申请实施例中，小区的历史QoE的确定过程可以由终端设备中的应用处理器执行。应用处理器将小区的历史QoE发送给modem，由modem基于历史QoE，选择小区。
在一种可能的设计中，所述N个小区是所述多个小区的全部小区，所述modem还用于:获取所述N个小区中每个小区的第一测量结果，所述第一测量结果包括RSRP和/或RSRQ；基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；所述modem基于所述历史QoE，在所述多个小区中选择第一小区，包括：确定所述N个小区中第二测量结果最高的小区或第二测量结果大于阈值的小区为所述第一小区。
在本申请实施例中，终端设备的小区测量、测量结果的抑制或增强、基于抑制或增强后的测量结果选择小区的过程由modem执行。
在一种可能的设计中，所述N个小区是所述多个小区中的部分小区，所述modem还用于:获取所述多个小区中每个小区的第一测量结果，所述第一测量结果包括RSRP和/或RSRQ；基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；所述modem基于所述历史QoE，在所述多个小区中选择第一小区，包括：确定所述N个小区的第二测量结果与剩余小区的第一测量结果中测量结果最高或测量结果大于阈值的小区为所述第一小区；其中，所述剩余小区为所述多个小区中除去所述N个小区之外剩余小区。
在本申请实施例中，终端设备的小区测量、测量结果的抑制或增强、基于抑制或增强后的测量结果选择小区的过程由modem执行。
在一种可能的设计中，所述第一小区是所述多个小区中历史QoE最好的小区；这种方式中无需基于历史QoE对小区的测量结果进行抑制或增强，直接基于历史QoE选择小区，比如，选择历史QoE最好的小区，较为简单，效率较高。
或者，所述第一小区是所述多个小区在第一时间段内历史QoE最好的小区，所述第一时间段包括所述终端设备的当前时间点；由于小区的QoE会随时间而变化，这种方式中，终端设备可以确定当前时间段内历史QoE最好的小区，选择的小区较为准确。
或者，所述第一小区是所述多个小区在第二时间段内历史QoE最好的小区，所述第二时间段是所述终端设备当前时间点之后的时间段，所述第二时间段的起始时间与所述当前时间点之间的时间差小于阈值。假设当前时间是8:59，终端设备可以确定9:00-10:00这个时间段内历史QoE最好的小区，这种方式一定程度上可以起到提前预测的效果，用户体验较高。
在一种可能的设计中，历史QoE包括:历史流畅率和/或历史卡顿率；所述历史QoE最好的小区为历史流畅率最高和/或历史卡顿率最低的小区；其中，历史流畅率为所述终端设备历史上连接上小区时发生网络流畅的概率；所述历史卡顿率为所述终端设备历史上连接上小区时发生网络卡顿的概率。
也就是说，终端设备选择历史流畅率较高或历史卡顿率较低的小区；历史流畅率较高的小区或历史卡顿率较低的小区出现网络卡顿的概率较低，有助于提升终端设备的网络使用体验。
或者，所述历史QoE包括:历史QoE评分结果，所述历史QoE评分结果为所述终端设备历史上连接小区之后基于该小区的网络使用体验对小区的网络性能的评分，所述历史QoE最好的小区为历史QoE评分结果最高的小区或历史QoE评分结果高于阈值的小区。
也就是说，终端设备会可以历史上接入过的小区的网络性能打分，得到QoE评分结果，基于该QoE评分结果选择小区。评分结果越高的小区网络使用体验越好，所以终端设备可以选择QoE评分结果较高的小区，避免切换到网络较差的小区，提升网络使用体验。
在一种可能的设计中，所述终端设备检测到所述多个小区的地点为第一地点；所述终端设备基于所述历史QoE，在所述多个小区中选择第一小区之后，还包括：控制所述终端设备切换为默认模式；所述默认模式下所述终端设备基于小区的第一测量结果选择目标小区，所述第一测量结果包括RSRQ和/或RSRP；当所述终端设备再次到达所述第一地点时，所述终端设备以所述默认模式选择第三小区；所述第三小区与所述第一小区不同。
在本申请实施例中，终端设备可以具有两种小区选择模式，比如第一种模式(即默认模式)和第二种模式，默认模式是指现有技术中终端设备基于第一测量结果选择小区的模式，第二种模式是本申请实施例提供的基于小区的历史QoE选择小区的模式。在同一个地点，终端设备基于第一种模式和第二种模式所选择的小区不同，通过本申请提供的模式即第二种模式所选择的小区的网络体验较好。
在一种可能的设计中，所述第三小区与所述第一小区不同，包括：所述第一小区的RSRQ和/或RSRP低于所述第三小区，所述第一小区的QoE高于所述第三小区。
如上文所述，在同一个地点，终端设备基于第一种模式(默认模式)和第二种模式选择的小区不同。比如，在同一地点，终端设备基于第一种模式选择小区A，基于第二种模式选择小区B，小区A的RSRQ和/或RSRP高于小区B，小区A的QoE低于小区B，通过本申请提供的模式即第二种模式所选择的小区的网络体验较好。
在一种可能的设计中，所述终端设备获取所述多个小区中N个小区的历史QoE之前，所述方法还包括:确定服务小区的信号强度低于阈值；或者，
检测到位置发生变化和/或位移变化量大于预设值；或者，
检测到进入预设场景，所述多个小区为所述预设场景对应的小区；或者，
确定当前时间达到特定时间。
在本申请实施例中，终端设备在满足一定的触发条件时，获取小区的历史QoE并基于历史QoE选择小区。所述触发条件比如：终端设备当前的服务小区信号强度低于阈值；或者，检测到位置发生变化和/或位移变化量大于预设值；或者，检测到进入预设场景；或者，确定当前时间达到特定时间比如整点8:00或9:00等。也就是说，在没有检测到触发条件的情况下，可以无需执行本申请提供的小区选择机制，节省功耗，在检测到触发条件的情况下，基于本申请提供的小区选择机制选择小区，以接入网络体验较好的小区。
在一种可能的设计中，所述终端设备中存储有场景、时间段、小区以及小区的历史QoE之间的对应关系，所述N个小区为所述对应关系中与当前时间段、当前场景匹配的小区；所述终端设备基于历史QoE，在所述多个小区中选择第一小区之前，还包括：确定所述N个小区的历史QoE统计次数大于预设次数；或者，确定所述N个小区的历史QoE的统计累计天数大于预设天数。
在本申请实施例中，终端设备进入场景(比如家、公司)之后，确定与场景、当前时间段相匹配的多个小区，而且，还可以判断匹配出的小区的历史QoE统计次数或累计天数是否足够，以保证小区选择的准确性。
在一种可能的设计中，所述历史QoE评分满足：
Figure PCTCN2021090748-appb-000001
其中，i为小区的第i个性能标签，N为性能标签的总数，Xi为第i个性能标签的发生概率，Yi为第i个性能标签对应的权重，其中，所有性能标签对应的权重之和为1；其中，所述性能标签为所述终端设备为小区的网络性能所划分的等级。
在本申请实施例中，小区的QoE评分是基于多个性能标签确定的，每个性能标签代表小区的网络性能的一个等级，如果等级划分越详细，性能标签数量越多，那么最终计算出的历史QoE评分越准确，基于历史QoE选择出的小区越准确。
在一种可能的设计中，所述第一小区与第四小区不一定相同，所述第四小区是第五小区的多个邻区中RSRP和/或RSRQ最强的小区，所述第五小区是所述终端设备连接所述第一小区之前的服务小区。
本申请实施例提供的小区选择方法所选择出的小区不一定是RSRP和/或RSRQ最强的小区，而是基于历史QoE选择合适的小区，通过这种方式，可以选择网络性能更好的小区接入，提升终端设备的网络使用体验。
第二方面，还提供一种终端设备，包括：应用处理器AP和调制解调器modem；
所述modem，用于检测多个小区；
所述AP，用于获取N个小区中每个小区的历史体验质量QoE，所述N个小区是所述多个小区中的全部或部分小区；N为正整数；所述历史QoE用于表征所述终端设备历史上在所述每个小区内时的网络使用体验；
所述modem，还用于基于所述历史QoE，在所述多个小区中选择第一小区；
所述modem，还用于连接所述第一小区。
在一种可能的设计中，所述N个小区是所述多个小区的全部小区，所述modem还用于：获取所述N个小区中每个小区的第一测量结果，所述第一测量结果包括参考信号接收功率RSRP和/或参考信号接收质量RSRQ；基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；所述modem在用于基于所述历史QoE，在所述多个小区中选择第一小区时，具体用于：确定所述N个小区中第二测量结果最高的小区或第二测量结果大于阈值的小区为所述第一小区。
在一种可能的设计中，所述N个小区是所述多个小区中的部分小区，所述modem还用于：获取所述多个小区中每个小区的第一测量结果，所述第一测量结果包括RSRP和/或RSRQ；基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；所述modem在用于基于所述历史QoE，在所述多个小区中选择第一小区时，具体用于：确定所述N个小区的第二测量结果与剩余小区的第一测量结果中测量结果最高或测量结果大于阈值的小区为所述第一小区；其中，所述剩余小区为所述多个小区中除去所述N个小区之外的剩余小区。
在一种可能的设计中，所述AP在用于获取N个小区中每个小区的历史体验质量QoE时，具体用于：
确定所述N个小区中每个小区的历史QoE的评估结果，所述评估结果为所述终端设备历史上连接所述N个小区中每个小区之后基于该小区的网络使用体验对小区的网络性能的评估；
所述modem具体用于：基于所述评估结果对每个小区的第一测量结果抑制或增强， 得到所述第二测量结果。
在一种可能的设计中，所述modem具体用于：
确定所述的评估结果确定对应的抑制强度或增强强度；
基于所述抑制强度或增强强度对所述每个小区的第一测量结果抑制或增强。
在一种可能的设计中，所述AP还用于：判断所述第一小区是否存在历史QoE的评估结果，如果不存在，对所述第一小区的网络性能进行评估得到评估结果；
如果所述评估结果满足条件，通知所述modem继续驻留在所述第一小区；
如果所述评估结果不满足条件，通知所述modem取消对所述N个小区的第一测量结果的抑制；以使所述modem基于所述N个小区的第一测量结果和所述剩余小区的第三测量结果选择第二小区，从所述第一小区切换到所述第二小区。
在一种可能的设计中，所述评估结果满足条件，包括：
所述评估结果指示所述第一小区的网络性能为流畅；或者，
所述评估结果指示在预设时长内所述第一小区的网络性能是流畅的次数大于预设次数；或者，
所述评估结果指示所述第一小区的网络性能是流畅的时长大预设时长；或者，
所述评估结果指示所述第一小区的网络性能高于在所述多个邻区的网络性能；或者，
所述评估结果指示所述第一小区的网络性能高于阈值。
第三方面，提供一种终端设备，包括：
一个或多个处理器；
存储器；
以及一个或多个计算机程序，其中所述一个或多个计算机程序被存储在所述存储器中，所述一个或多个计算机程序包括指令，当所述指令被所述电子设备执行时，使得所述电子设备执行如上述第一方面提供的方法。
第四方面，提供一种电子设备，包括：处理单元和通信单元；
通信单元，用于检测到多个小区；
处理单元，用于获取N个小区中每个小区的历史体验质量QoE，所述N个小区是所述多个小区中的全部或部分小区；N为正整数；所述历史QoE用于表征所述终端设备历史上在所述每个小区内时的网络使用体验；
处理单元或通信单元，用于基于所述历史QoE，在所述多个小区中选择第一小区；
通信单元，还用于连接所述第一小区。
在一种可能的设计中，所述N个小区是所述多个小区的全部小区的情况下，所述处理单元还用于：获取所述N个小区中每个小区的第一测量结果，所述第一测量结果包括参考信号接收功率RSRP和/或参考信号接收质量RSRQ；
所述通信单元，还用于：基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；其中，所述第一小区是所述N个小区中第二测量结果最高的小区或第二测量结果大于阈值的小区。
在一种可能的设计中，所述N个小区是所述多个小区中的部分小区的情况下，所述通信单元还用于：获取所述多个小区中每个小区的第一测量结果，所述第一测量结果包括RSRP和/或RSRQ；基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；所述第一小区是所述N个小区的第二测量结果与剩余小 区的第一测量结果中测量结果最高或测量结果大于阈值的小区；其中，所述剩余小区为所述多个小区中除去所述N个小区之外的剩余小区。
在一种可能的设计中，所述通信单元，具体用于：确定所述N个小区中每个小区的历史QoE的评估结果，所述评估结果表征所述终端设备历史上连接所述N个小区中每个小区时基于该小区的网络使用体验对小区的网络性能的评估；基于所述评估结果对每个小区的第一测量结果抑制或增强，得到所述第二测量结果。
在一种可能的设计中，所述通信单元，具体用于：确定所述评估结果对应的抑制强度或增强强度；基于所述抑制强度或增强强度对每个小区的第一测量结果抑制或增强。
在一种可能的设计中，所述处理单元，还用于：判断所述第一小区是否存在历史QoE的评估结果，如果不存在，对所述第一小区的网络性能进行评估得到评估结果；
如果所述评估结果满足条件，所述通信单元继续驻留在所述第一小区；如果所述评估结果不满足条件，所述通信单元取消对所述N个小区的第一测量结果的抑制；基于所述N个小区的第一测量结果和所述剩余小区的第三测量结果选择第二小区，从所述第一小区切换到所述第二小区。
在一种可能的设计中，所述评估结果满足条件，包括：所述评估结果指示所述第一小区的网络性能为流畅；或者，所述评估结果指示在预设时长内所述第一小区的网络性能是流畅的次数大于预设次数；或者，所述评估结果指示所述第一小区的网络性能是流畅的时长大预设时长；或者，所述评估结果指示所述第一小区的网络性能高于在所述多个邻区的网络性能；或者，所述评估结果指示所述第一小区的网络性能高于阈值。
在一种可能的设计中，历史QoE的评估结果越高，对小区的抑制强度越低，或者，对小区的增强强度越大。
在一种可能的设计中，所述第一小区是所述N个小区中历史QoE最好的小区；或者，
所述第一小区是所述N个小区在第一时间段内历史QoE最好的小区，所述第一时间段包括所述终端设备的当前时间点；或者，
所述第一小区是所述N个小区在第二时间段内历史QoE最好的小区，所述第二时间段是所述终端设备当前时间点之后的时间段，所述第二时间段的起始时间与所述当前时间点之间的时间差小于阈值。
在一种可能的设计中，所述历史QoE包括:历史流畅率和/或历史卡顿率；所述历史QoE最好的小区为历史流畅率最高和/或历史卡顿率最低的小区；其中，历史流畅率为所述终端设备历史上连接上小区时发生网络流畅的概率；所述历史卡顿率为所述终端设备历史上连接上小区时发生网络卡顿的概率；或者，所述历史QoE包括:历史QoE评估结果，所述历史QoE最好的小区为历史QoE评估结果最高的小区或历史QoE评估结果高于阈值的小区，所述历史QoE评估结果为所述终端设备历史上连接小区之后基于该小区的网络使用体验对小区的网络性能的评估。
在一种可能的设计中，所述终端设备检测到所述多个小区的地点为第一地点；
所述处理单元还用于：控制所述终端设备切换为默认模式；所述默认模式下所述终端设备基于小区的第一测量结果选择目标小区，所述第一测量结果包括RSRQ和/或RSRP；
当所述终端设备再次到达所述第一地点时，所述通信单元以所述默认模式选择第三小区；所述第三小区与所述第一小区不同。
在一种可能的设计中，所述第三小区与所述第一小区不同，包括：所述第一小区的 RSRQ和/或RSRP低于所述第三小区，所述第一小区的QoE高于所述第三小区。
在一种可能的设计中，所述处理单元还用于:确定服务小区的信号强度低于阈值；或者，
检测到位置发生变化和/或位移变化量大于预设值；或者，
检测到进入预设场景，所述多个小区为所述预设场景对应的小区；或者，
确定当前时间达到特定时间。
在一种可能的设计中，所述终端设备中存储有场景、时间段、小区以及小区的历史QoE之间的对应关系，所述N个小区为所述对应关系中与当前时间段、当前场景匹配的小区；
所述处理单元还用于：确定所述N个小区的历史QoE统计次数大于预设次数；或者，确定所述N个小区的历史QoE的统计累计天数大于预设天数。
在一种可能的设计中，所述历史QoE的评估结果满足：
Figure PCTCN2021090748-appb-000002
其中，i为小区的第i个性能标签，N为性能标签的总数，Xi为第i个性能标签的发生概率，Yi为第i个性能标签对应的权重，其中，所有性能标签对应的权重之和为1；其中，所述性能标签为所述终端设备为小区的网络性能所划分的等级。
第五方面，还提供一种芯片，所述芯片与电子设备中的存储器耦合，用于调用存储器中存储的计算机程序以执行如上述第一方面所述的方法。
第六方面，还提供一种计算机可读存储介质，包括指令，当所述指令在电子设备上运行时，使得所述电子设备执行如上述第一方面所述的方法。
第七方面，还提供一种计算机程序产品，包括指令，当所述指令在计算机上运行时，使得所述计算机执行如上述第一方面所述的方法。
上述第二方面至第七方面的有益效果参见第一方面的有益效果描述，在此不重复赘述。
附图说明
图1为本申请一实施例提供的一种应用场景的示意图；
图2为本申请一实施例提供的第一算法模式的示意图；
图3为本申请一实施例提供的一种小区选择方法的流程示意图；
图4为本申请一实施例提供的另一种小区选择方法的流程示意图；
图5为本申请一实施例提供的另一种小区选择方法的流程示意图；
图6为本申请一实施例提供的另一种小区选择方法的流程示意图；
图7为本申请一实施例提供的另一种小区选择方法的流程示意图；
图8为本申请一实施例提供的终端设备的一种结构示意图；
图9为本申请一实施例提供的终端设备的一种分层架构的示意图。
具体实施方式
以下先对本申请实施例中的部分用语进行解释说明。
1)终端设备，包括向用户提供语音和/或数据连通性的设备，具体的，包括向用户提供语音的设备，或包括向用户提供数据连通性的设备，或包括向用户提供语音和数据连通性的设备。例如可以包括具有无线连接功能的手持式设备、或连接到无线调制解调器的处 理设备。该终端设备可以经无线接入网(radio access network，RAN)与核心网进行通信，与RAN交换语音或数据，或与RAN交互语音和数据。该终端设备可以包括用户设备(user equipment，UE)、无线终端设备、移动终端设备、设备到设备通信(device-to-device，D2D)终端设备、车到一切(vehicle to everything，V2X)终端设备、机器到机器/机器类通信(machine-to-machine/machine-type communications，M2M/MTC)终端设备、物联网(internet of things，IoT)终端设备、签约单元(subscriber unit)、签约站(subscriber station)，移动站(mobile station)、远程站(remote station)、接入点(access point，AP)、远程终端(remote terminal)、接入终端(access terminal)、用户终端(user terminal)、用户代理(user agent)、或用户装备(user device)等。例如，可以包括移动电话(或称为“蜂窝”电话)，具有移动终端设备的计算机，便携式、袖珍式、手持式、计算机内置的移动装置等。例如，个人通信业务(personal communication service，PCS)电话、无绳电话、会话发起协议(session initiation protocol，SIP)话机、无线本地环路(wireless local loop，WLL)站、个人数字助理(personal digital assistant，PDA)、等设备。还包括受限设备，例如功耗较低的设备，或存储能力有限的设备，或计算能力有限的设备等。例如包括条码、射频识别(radio frequency identification，RFID)、传感器、全球定位系统(global positioning system，GPS)、激光扫描器等信息传感设备。
作为示例而非限定，在本申请实施例中，该终端设备还可以是可穿戴设备。可穿戴设备也可以称为穿戴式智能设备或智能穿戴式设备等，是应用穿戴式技术对日常穿戴进行智能化设计、开发出可以穿戴的设备的总称，如眼镜、手套、手表、服饰及鞋等。可穿戴设备即直接穿在身上，或是整合到用户的衣服或配件的一种便携式设备。可穿戴设备不仅仅是一种硬件设备，更是通过软件支持以及数据交互、云端交互来实现强大的功能。广义穿戴式智能设备包括功能全、尺寸大、可不依赖智能手机实现完整或者部分的功能，例如：智能手表或智能眼镜等，以及只专注于某一类应用功能，需要和其它设备如智能手机配合使用，如各类进行体征监测的智能手环、智能头盔、智能首饰等。
而如上介绍的各种终端设备，如果位于车辆上(例如放置在车辆内或安装在车辆内)，都可以认为是车载终端设备，车载终端设备例如也称为车载单元(on-board unit，OBU)。
本申请实施例中，终端设备还可以包括中继(relay)。或者理解为，能够与基站进行数据通信的都可以看作终端设备。
本申请实施例中，用于实现终端设备的功能的装置可以是终端设备，也可以是能够支持终端设备实现该功能的装置，例如芯片系统，该装置可以被安装在终端设备中。本申请实施例中，芯片系统可以由芯片构成，也可以包括芯片和其他分立器件。本申请实施例提供的技术方案中，以用于实现终端的功能的装置是终端设备为例，描述本申请实施例提供的技术方案。
2)网络设备，例如包括接入网(access network，AN)设备，例如基站(例如，接入点)，可以是指接入网中在空口通过一个或多个小区与无线终端设备通信的设备，或者例如，一种车到一切(vehicle-to-everything，V2X)技术中的网络设备为路侧单元(road side unit，RSU)。基站可用于将收到的空中帧与IP分组进行相互转换，作为终端设备与接入网的其余部分之间的路由器，其中接入网的其余部分可包括IP网络。RSU可以是支持V2X应用的固定基础设施实体，可以与支持V2X应用的其他实体交换消息。网络设备还可协调对空口的属性管理。例如，网络设备可以包括LTE系统或高级长期演进(long term  evolution-advanced，LTE-A)中的演进型基站(NodeB或eNB或e-NodeB，evolutional Node B)，或者也可以包括第五代移动通信技术(the 5th generation，5G)NR系统(也简称为NR系统)中的下一代节点B(next generation node B，gNB)或者也可以包括云接入网(cloud radio access network，Cloud RAN)系统中的集中式单元(centralized unit，CU)和分布式单元(distributed unit，DU)，本申请实施例并不限定。
网络设备还可以包括核心网设备，在本申请实施例中，核心网设备例如包括5G系统中的访问和移动管理功能(access and mobility management function，AMF)或用户平面功能(user plane function，UPF)等，或者包括4G系统中的移动管理实体(mobility management entity，MME)等。
本申请实施例中，用于实现网络设备的功能的装置可以是网络设备，也可以是能够支持网络设备实现该功能的装置，例如芯片系统，该装置可以被安装在网络设备中。在本申请实施例提供的技术方案中，以用于实现网络设备的功能的装置是网络设备为例，描述本申请实施例提供的技术方案。
3)无线资源控制(radio resource control，RRC)，在LTE中，支持两种RRC状态，即RRC空闲态(RRC_IDLE)、RRC连接态(RRC_CONNECTED)。在NR中，引入RRC非激活态(RRC_INACTIVE)，即NR中支持三种状态，RRC空闲态(RRC_IDLE)、RRC非激活态(RRC_INACTIVE)、RRC连接态(RRC_CONNECTED)，其中，不同的RRC状态之间可以切换。
4)体验质量(quality of experience，QoE)，简单来说，QoE可以理解为用户使用终端设备时的上网体验，例如卡顿、流畅等。QoE会受各种因素的影响，所述因素例如包括终端设备的地理位置、小区的接入量、信道质量等等。以地理位置为例，比如当终端设备处于小区的边缘区域时，QoE会较差。以小区的接入量为例，通常接入量越大，QoE越差；接入量越少，QoE越好。其中，接入量是指接入小区的终端设备的总量，接入量是动态变化的。因此，同一个小区在不同时间段的QoE可以不同，比如，终端设备接入小区A，在非高峰期接入量较小，网络较为流畅，在高峰期接入量大，网络卡顿。当然，在同一时间段不同小区的QoE也不相同，比如，在同一个时间段，终端设备接入小区A时，网络较为流畅，接入小区B时，网络卡顿；可能因为在所述时间段内，小区A的接入量较多，小区B的接入量较少，所以小区B的网络体验较好。其中，网络卡顿的场景例如包括：用户使用终端设备中视频播放app播放在线视频(比如电影)的过程中出现卡顿；或者，用户使用终端设备中的网页浏览app浏览网页时，出现网页内容加载失败或者需要等待较长时间，等等。
在一些实施例中，QoE还可以被称为业务体验、网络体验等名称，本申请实施例对此名称不作限定。
5)终端的移动性管理机制，为了保证终端设备具有持续不断的网络服务而提出的机制，具体包括小区切换(handover)或小区重选(reselection)。小区切换是指处于连接(connected)态的终端设备通过邻区测量从当前小区切换到另一个小区。小区重选是指处于空闲态或非激活态的终端设备通过监测服务小区和邻区的信号以选择一个最好的小区提供网络服务的过程。
下面先简单介绍现有机制中小区重选和小区切换过程。
一、小区重选
终端设备执行小区重选的过程可以包括：网络设备向终端设备发送邻区列表，该邻区列表中包括服务小区的一个或多个邻区的信息，所述信息比如邻区的频率、或邻区的频率和小区标识。假设终端设备驻留到小区A，那么邻区列表包括小区A的一个或多个邻区比如小区B和小区C的信息。终端设备基于邻区列表对服务小区及邻小区进行测量得到服务小区、邻区的参考信号接收功率(reference signal receiving power，RSRP)和/或参考信号接收质量(reference signal receiving quality，RSRQ)。通常，终端设备会选择RSRP或RSRQ较高的小区，比如，假设小区B的RSRQ大于小区A和小区C，那么终端设备选择小区B接入。现有协议中规定小区重选主要包括如下步骤：
步骤(step)1：对服务小区及邻小区的RSRP和RSRQ进行测量。
Step2：进行高优先级小区的评估。
网络侧为终端设备配置不同小区之间的优先级关系，终端设备对服务小区和邻区的RSRP和RSRQ进行测量之后，可以先对高优先级小区(优先级高于服务小区)的能量和质量进行评估。当满足如下条件时，执行小区重选，所述条件包括：邻小区的能量大于网络侧配置的能量门限或者邻小区的质量大于网络侧配置的质量门限，并且重选评估时间达到。
Step3：进行等优先级小区评估。
等优先级小区是指优先级与服务小区相同的小区。对于等优先级小区，当终端设备检测到满足如下条件时，执行小区重选，所述条件包括：Rn>Rs，并且评估时间达到，其中，Rs是服务小区，Rn是邻区，Rn和Rs满足如下关系：
Figure PCTCN2021090748-appb-000003
其中，Q meas、Qoffset、Qoffset temp的含义可以参见下表1：
表1
Figure PCTCN2021090748-appb-000004
其中，Q meas,s是服务小区的Q meas，Q meas,n是邻区的Q meas，Qoffset s,n是服务小区与邻区的能量偏移量。
Step4：进行低优先级小区评估。
低优先级小区是指优先级低于服务小区的邻区。当终端设备检测到满足如下条件时，执行小区重选，所述条件包括：
服务小区的能量小于网络侧配置的门限并且邻小区的能量大于网络配置的门限；并且重选评估时间达到；或者，
服务小区的质量小于网络配置的门限并且邻小区的质量大于网络配置的门限，并且重选评估时间达到。
二、小区切换
现有协议中规定小区切换的主要步骤包括：
Step1：对服务小区及邻小区的RSRP和RSRQ执行测量。
Step2：当满足网络侧配置的测量事件的条件时向网络侧上报测量报告，该测量报告中包括服务小区和邻区的测量结果。
Step3：网络根据测量报告执行UE向目标小区的切换过程。
比如，网络设备根据测量报告将终端设备从服务小区切换到目标小区，目标小区的RSRP或RSRQ高于服务小区。也就是说，区别于小区重选，小区切换过程中，终端设备将测量报告上报网络设备，由网络设备基于测量报告执行小区切换过程。
因此，现有机制中，无论是小区重选还是小区切换都是基于终端设备的测量结果进行，具体来说，是选择测量结果中RSRP或RSRQ较高的小区接入。
然而，存在一种情况：假设终端设备驻留在小区A，检测到邻区B的RSRP或RSRQ较高，终端设备从小区A切换到小区B。但是小区B的QoE并不一定好，比如，小区B的用户接入量较高，导致终端设备接入小区B之后，出现网络卡顿的问题，影响用户体验。
鉴于此，本申请实施例提供一种小区选择方法，该方法中，终端设备可以选择体验质量QoE较好的小区接入。
参见图1，为本申请实施例提供的一种应用场景的示意图。假设终端设备处于小区A的覆盖范围内。终端设备执行邻区测量，测量到小区B和小区C的信息。假设小区A、小区B与小区C的RSRQ排序结果为小区B>小区C>小区A。按照现有机制，终端设备应当选择小区B接入。但是终端设备接入小区B之后，并不一定会有较好的QoE。因此，本申请实施例中，终端设备可以学习小区A、小区B与小区C的QoE，选择QoE较好的小区接入。假终端设备确定小区C的QoE较好，那么终端设备选择小区C接入。因此，通过本申请实施例提供的小区选择方法选择的小区和基于现有机制选择的小区并不相同，而通过本申请实施例提供的小区选择方法选择的小区能够提供更好的QoE。
实施例1
1.1-小区的QoE
小区的QoE是指终端设备接入小区之后，与该小区进行数据交互的过程中网络质量体验。简单来说，就是终端设备接入小区之后，用户使用该终端设备上网的体验。
1.2-小区的QoE的评估
终端设备可以通过一个或多个评价指标来评价小区QoE，所述评价指标包括但不限定于网络吞吐率、传输速率、时延、丢包率、误码率等。比如，以传输速率为例，当传输速率较高时，认为QoE较好。当传输速率较低时，认为QoE较差。
一种较为直观的评估方式为，提供多个性能标签(或者也可以称为性能等级)，比如，流畅、一般和卡顿。终端设备根据小区的评价指标(比如时延、传输速率)为小区标记不同的性能标签。也就是说，小区QoE的评估过程可以理解为小区标记性能标签的过程。
多个评价指标比如传输速率、时延、丢包率、带宽等可以单独使用，也可以结合使用，比如，以时延单独使用为例，终端设备确定时延小于第一阈值时，确定该小区的性能标签是流畅，终端设备确定时延在第二阈值和第一阈值的范围内，则确定该小区的性能标签是一般，终端设备确定时延大于第二阈值时，确定该小区的性能标签是卡顿，其中，第一阈值低于第二阈值。
或者，终端设备确定满足如下条件中的至少一种时认为流畅；所述条件包括但不限定于：时延小于时延门限1、丢包率小于丢包率门限1、传输带宽大于带宽门限1，等等。或者，终端设备确定满足如下条件中的至少一种时认为卡顿；所述条件包括但不限定于：时延大于时延门限2、丢包率大于丢包率门限2、传输带宽小于带宽门限2，等等。
当然，除去流畅、一般和卡顿这三个性能标签之外，终端设备还设置更多的标签，比如，包括流畅、一般、卡顿、严重卡顿四个性能标签；或者，包括非常流畅、一般流畅、一般、卡顿、严重卡顿五个性能标签；等等。当然，终端设备也可以只设置两种性能标签，比如流畅和卡顿。下文中主要以流畅、一般和卡顿这三个性能标签为例介绍。
因此，对小区的QoE评估得到的评估结果可以是性能标签。当然，评估结果还可以是评分，具体参见下面实施例1.3介绍。
1.3-小区的QoE的学习过程
如前文实施例1中的1.2所述，终端设备为每个小区标记性能标签，比如，流畅、一般、卡顿等。通常，小区的QoE受接入量的影响，而接入量是动态变化的，比如某段时间内接入量较少，QoE较好，另一段时间内，接入量变大，QoE变差。因此，终端设备接入一个小区之后，可以实时的评估小区的QoE，即实时的标记性能标签。
下面以小区A为例，介绍终端设备学习小区A的QoE的过程。具体而言，小区A的QoE的过程包括数据统计过程和评分计算过程。
1、假设终端设备在7月1号接入小区A。
数据统计过程：
包括数据采集和统计两个过程；终端设备可以实时的(比如每秒)采集数据，比如，终端设备接入小区A之后第1秒采集的数据为表2所示：
表2
小区 采集时间点 QoE 原因
小区A 09:00:00 卡顿 传输速率低于阈值1
第2秒采集的数据为表3所示：
表3
小区 采集时间点 QoE 原因
小区A 09:00:01 流畅 传输速率高于阈值2
第3秒采集的数据为表4所示：
表4
小区 采集时间点 QoE 原因
小区A 09:00:02 一般 传输速率在阈值1和阈值2之间
可选的，为节省功耗，终端设备可以判断当前是否亮屏，如果亮屏则采集数据，否则不采集数据。和/或，终端设备可以判断当前是否处于连接移动网络，若是，则采集数据， 否则不采集数据。比如，若终端设备检测到当前连接3G或4G移动网络，则采集数据，若检测到当前连接的是无线wifi，则不采集数据。
也就是说，终端设备可以每隔一定的时间(比如，每秒/每几秒/没几十秒/每分钟等)标记一次性能标签。这样的话，终端设备会得到大量的数据，可以将采集的数据统计，如下表5：
表5：7月1号小区A的性能标记结果
Figure PCTCN2021090748-appb-000005
参见表5，终端设备从09:00:00的时刻开始每秒确定一次性能标签。其中，09:00:00可以是终端设备接入小区A的时刻，或者是接入小区A之后的预设时刻，所述预设时刻比如是终端设备接入小区A后首次使用网络的时刻或者是接入小区A的时刻之后的固定时间，等等，本申请实施例不作限定。
每秒确定一次性能标签，这样的话，终端设备会得到小区A在大量的时间点对应的性能标签，那么可以统计大量时间点所在的时间段(或时间片)内对应的性能标签的累计次数，示例性的，参见下表6：
表6：7月1号的累计统计结果
Figure PCTCN2021090748-appb-000006
表6中时间段可以是包括所有采集时间点的时间段。比如，是最早采集时间点到最晚采集时间点之间的时间段；比如，上述表5中以采集5次为例所以时间段是5s。当采集次数较多时，时间段可以较长，比如从09:00:00到10:00:00一直采集，那么时间段是一个小时即09:00:00到10::00:00。当然，时间段也可以是预先设置好的，比如，一天24小时，时间段默认分为24个，每个时间段为1个小时。比如，默认09:00:00到10:00:00是一个时间段，假设采集时间点有多个，且均处于09:00:00到10:00:00之间，就算作09:00:00到10::00:00这个时间段内的数据。当然，为了简洁，上述表6中可以不包括采集时间点。
继续参见表6，假设终端设备在7月1号之前未统计过小区A的性能标签，那么累计天数是1，卡顿累计次数是采集5次(以表5中采集5次为例)中出现卡顿的次数为2次(参见表5)，流畅累计次数是采集5次中出现流畅的次数为2次，一般累计次数是采集5次中出现一般的次数为1次。
评分计算过程：
终端设备统计数据之后，可以计算小区A的评分，其中，评分结果的计算方式可以包括：
(1)、终端设备设置卡顿权值、一般权值和流畅权值。其中，流畅权值最高，一般权值低于流畅权值、卡顿权值低于一般权值，比如，最大权值是100，那么流畅权值是100，一般权值为70，卡顿权值为40；或者，流畅权值、一般权值和流畅权值可以是区间范围或区间范围内的任一值，比如，流畅权值的区间范围是(80，100]；一般权值的区间范围是(60，80]，卡顿权值的区间范围是(40，60]。当流畅权值、一般权值和流畅权值是区间范围时，计算出的评分结果是一个数值范围，当流畅权值、一般权值和流畅权值是具体取值时，计算出的评分结果是具体数值。
其中，卡顿权值、一般权值和流畅权值可以是预先设置好的固定值或固定的区间范围；或者，卡顿权值、一般权值和流畅权值也可以调整，比如，用户可以手动调整，终端设备可以提供一个权值调整界面，在该界面中显示当前的卡顿权值、一般权值和流畅权值，用户可以在所述界面内调整卡顿权值、一般权值或流畅权值。
当然，如果终端设备设置的是四个性能标签，比如，流畅、一般、卡顿、严重卡顿；那么相应的权值可以设置为：流畅权值100、一般权值80、卡顿权值60、严重卡顿权值40；或者，流畅权值的区间范围是(80，100]；一般权值的区间范围是(60，80]，卡顿权值的区间范围是(40，60]；严重卡顿的区间范围是(20，40]。需要说明的是，无论性能标签的个数是多少，其评分结果的计算方式原理相同，本文中以三个性能标签：流畅、一般和卡顿为例介绍评分结果的计算过程。
(2)、终端设备确定小区A的卡顿率、一般率和流畅率；其中，卡顿率是指终端设备连接小区A后出现网络卡顿的概率，比如，卡顿率＝卡顿累计次数/总次数，总次数＝卡顿累计次数+流畅累计次数+一般累计次数。以上述表6为例的话，卡顿率＝2/5。其中，一般率是指终端设备连接上小区A后出现网络一般的概率，比如，一般率＝一般累计次数/总次数；总次数＝卡顿累计次数+流畅累计次数+一般累计次数。以上述表6为例的话，一般率＝1/5。其中，流畅率是指终端设备连接上小区A后发生网络流畅的概率；比如，流畅率＝流畅累计次数/总次数；总次数＝卡顿累计次数+流畅累计次数+一般累计次数。以上述表6为例的话，流畅率＝2/5。
(3)、终端设备基于卡顿权值、一般权值和流畅权值、以及卡顿率、一般率和流畅率确定小区A的评分：比如，小区A的评分满足：X1＝流畅权值*流畅率+卡顿权值*卡顿率+一般权值*一般率。其中，X1是评分。比如X＝70、80、90等等。
上面是以性能标签是卡顿、一般和流畅为例的，实际上可以包括更多或更少的性能标签，总结来说，所述小区的评分结果满足：
Figure PCTCN2021090748-appb-000007
其中，i为小区的第i个性能标签，N为性能标签的总数，如果性能标签是3个，N＝3；Xi为第i个性能标签的发生概率，Yi为第i个性能标签对应的权重，其中，所有性能标签对应的权重之和为1；其中，所述性能标签为所述终端设备为小区的网络性能所划分的等级。
上述步骤(1)至步骤(3)是终端设备7月1号接入小区A之后，在时间段 09:00:00-09:00:04内的评分结果。
需要说明的是，上述评分结果X1是终端设备对小区A在7月1号的当日评价结果。为了提升对小区A的评价结果的准确性，可以继续对小区A继续学习，比如当终端设备下次接入小区A时，可以继续学习小区A的评价结果。
2、假设终端设备在7月2号再次接入小区A。
存在一种情况，终端设备在7月2号再次接入小区A的时间可能与在7月1号接入的时间不同，比如，7月1号上午接入小区A，但是在7月2号晚上接入小区A，这样的话，终端设备在7月2号的采集时间点与7月1号的采集时间点没有重叠的时间点，这种情况下，终端设备可以采用类似的方式统计在7月2号晚上的多个采集时间点的累计次数，并计算评分结果，其原理与上述表6中评分结果的原理相同，只是时间段在晚上的一个时间段与表6中的时间段没有重叠。
下面假设终端设备在7月2号上午接入小区A为例(即终端设备在7月1号接入小区A的时间与在7月2号接入小区A的时间重叠)，介绍终端设备继续学习小区A的过程。
数据统计过程：
7月2号，终端设备接收小区A之后每隔一定的时间(比如每秒)标记一次性能标签。示例性的，参见下表7：
表7：7月2号的性能标记结果
Figure PCTCN2021090748-appb-000008
终端设备可以得到7月2号当天小区A在大量的时间点对应的性能标签，可以统计所述大量时间点所在的时间段(或时间片)内对应的性能标签的累计次数，示例性的，参见下表8：
表8：7月2号的累计统计结果
Figure PCTCN2021090748-appb-000009
上述表8中可以不包括采集时间点。其中，X2的计算方式与前文中X1的计算方式类似，在此不重复赘述。需要说明的是，X2是7月2号当天终端设备对小区A在时间段09:00:00-09:00:04的当日评价结果。
为了提升小区A的学习结果的准确性，终端设备可以迭代7月1号的当日评价结果，与7月2号的当日评价结果，得到最终的评价结果。比如，终端设备可以基于表8更新上述表6，得到表9，表9也可以理解为表8和表6的数据叠加结果。
表9：7月1号和7月2号的累计统计结果
Figure PCTCN2021090748-appb-000010
上述表9中可以不包括采集时间点。其中，表9中的累计天数是指终端设备在09:00:00-09:00:04的时间段内学习小区A的累计天数；卡顿累计次数包括7月1号在时间段09:00:00-09:00:04内发生卡顿累计次数和7月2号在时间段09:00:00-09:00:04内发生卡顿累计次数的和；流畅累计次数包括7月1号在时间段09:00:00-09:00:04内发生流畅累计次数和7月2号在时间段09:00:00-09:00:04内发生流畅累计次数的和；一般累计次数包括7月1号在时间段09:00:00-09:00:04内发生一般累计次数和7月2号在时间段09:00:00-09:00:04内发生一般累计次数的和。
评分计算过程：
其中，评分X3是终端设备综合7月1号和7月2号两天的统计数据对小区A的评价结果。X3的确定方式有多种，比如如下方式1-方式3中的至少一种：
方式1，X3是X1和X2的平均值，
方式2，X3是X1和X2的加权平均值，比如X3＝k1*X1+k2*X2；其中，k1，k2为权重因子，k1+k2＝1，k1，k2可以设置为预设的固定值，也可以动态调整。可以理解的是，如果评价X3的计算发生在7月2号当天，那么X1是历史评价结果；X2是当日评价结果。因此，终端设备将当日评价结果与历史评价结果加权得到最终的评价结果。
方式3，与X1计算方式类似，具体而言，X3满足：X3＝流畅权值*历史流畅率+卡顿权值*历史卡顿率+一般权值*历史一般率。其中，历史卡顿率是指历史上终端设备连接小区A后出现网络卡顿的概率，这里所述的“历史上”就是7月1号和7月2号两天；比如，历史卡顿率＝历史卡顿累计次数/历史总次数，历史总次数＝历史卡顿累计次数+历史流畅累计次数+历史一般累计次数。以上述表9为例的话，历史卡顿率＝4/10。其中，历史一般率是指历史上终端设备连接小区A后出现网络一般的概率，比如，历史一般率＝历史一般累计次数/历史总次数；历史总次数＝历史卡顿累计次数+历史流畅累计次数+历史一般累计次数。以上述表9为例的话，历史一般率＝2/10。其中，历史流畅率是指历史上终端设备连接小区A后发生网络流畅的概率；比如，历史流畅率＝历史流畅累计次数/历史总次数；历史总次数＝历史卡顿累计次数+历史流畅累计次数+历史一般累计次数。以上述表9为例的话，历史流畅率＝4/10。
3、假设终端设备在7月3号再次统计到09:00:00-09:00:04这个时间段内的数据，可以使用上述方式1-方式3中的任意一种方式计算小区A的评分。假设使用上述方式1，再假 设7月3号的当日评价结果是X4，那么最终评价结果是X1、X2和X4的平均值；假设使用上述方式2，那么最终评价结果是X1、X2和X4的加权平均值。或者，也可以使用如下方式计算最终评分：
1、计算历史流畅率＝历史流畅累计次数/历史总次数；同理，历史一般率＝历史一般累计次数/历史总次数；历史卡顿率＝历史卡顿累计次数/历史总次数；这里的历史流畅累计次数包括7月1号和7月2号的流畅累计次数；历史一般累计次数和历史卡顿累计次数也是一样。
2、计算历史评分P＝流畅权值*历史流畅概率+一般权值*历史一般概率+卡顿权值*历史卡顿概率；
3、计算当日流畅率＝当日流畅累计次数/当日累计总次数；当日一般率＝当日一般累计次数/当日累计总次数；当日卡顿率＝当日卡顿累计次数/当日累计总次数；
4、计算当日评分Q＝流畅权值*当日流畅概率+一般权值*当日一般概率+卡顿权值*当日卡顿概率
5、计算最终得分＝k1*历史得分+k2*当日得分；其中，k1，k2为权重因子，k1+k2＝1。
因此，通过上述学习过程，终端设备可以学习出小区A的评分结果，该评分结果一定程度上可以用于表征小区A在时间段(09:00:00-09:00:04)内的QoE。
需要说明的是，数据统计过程可以在终端设备连接上小区A之后实时的发生，评分计算过程可以实时的进行，比如每执行一次数据统计就立即执行一次评分计算，或者，评分计算过程也可以在每天的固定时间发生，比如，终端设备统计完7月1号当天的数据之后，在7月1号固定时间(比如晚上24:00)计算小区A的评分结果。再比如，终端设备统计完7月2号当天的数据之后，在7月2号固定时间(比如晚上24:00)基于当日评价结果与历史评价结果确定小区A的最终评价结果。或者，终端设备空闲时间执行评分计算过程，所述空闲时间例如终端设备的熄屏的时间内，或者确定熄屏的时长大于预设时长时执行评分计算过程，或者，终端设备确定运行的应用数量少于预设数量时执行评分计算过程，等等，本申请实施例不作限定。
在一些实施例中，为了方便记录历史统计结果和当日统计结果，上述表9也可以采用如下的表10的形式：
表10：7月1号和7月2号的累计统计结果
Figure PCTCN2021090748-appb-000011
上述表10中可以不包括采集时间点。其中，卡顿累计次数是7月1号的卡顿累计次 数和7月2号的卡顿累计次数之和，流畅累计次数和一般累计次数同样，可以用于计算历史评分结果。最近一次卡顿累计次数是指7月2号当天的卡顿累计次数；最近一次流畅累计次数是指7月2号当天的流畅累计次数；最近一次一般累计次数是指7月2号当日的一般累计次数；可以用于计算当日评分结果；最近一次日期是指7月2号。应当理解的是，如果终端设备在7月3号再次统计到09:00:00-09:00:04这个时间段内的数据；更新上述表10即可。
为了提升计算速率，一些老化数据可以删除，所述老化数据可以理解为预设时间之前的数据，比如1周之前的数据或者一个月之前的数据。例如，如果上述表格6中累计天数达到预设天数(比如7天或15天或30天)，那么预设天数之前的数据可以删除，即预设天数之前的数据不用于计算评分结果。
1.4-不同场景(Scene)下的小区的QoE的学习过程
在本申请实施例中，终端设备可以对每个接入过的一个小区进行QoE的学习，也可以只对固定场景的小区进行QoE的学习。其中，所述固定场景包括家、公司、上班路线、下班路线等。可选的，终端设备判断是否进入固定场景的方式包括但不限定于如下方式：
1、通过GPS确定进入固定场景。比如，终端设备检测到历史上在特定时间段内的GPS基本上都是位置1，则将所述位置1作为固定场景，比如，历史上在上午9点到下午18点的时间段内的GPS基本上都是位置1，将该位置1标记为“公司”，那么终端设备检测到当前GPS是位置1时，确定当前场景是“公司”。再比如，历史上在晚上7点到早上8点的GPS都是位置2，则将位置2标记为“家”，那么终端设备检测到当前GPS是位置2时，确定当前场景为“家”。
2、通过围栏检测到进入固定场景。其中，围栏可以是包括wifi信息构成的，比如，终端设备检测到历史上在特定时间段内周围的wifi信息基本都是(wifi1、wifi2、wifi3)，则将(wifi1、wifi2、wifi3)作为固定场景对应的围栏。比如，历史上在上午9点到下午18点的时间段内的周围的wifi信息基本上都是(wifi1、wifi2、wifi3)，将该(wifi1、wifi2、wifi3)标记为“公司”对应的围栏，当终端设备检测到周围的wifi信息与(wifi1、wifi2、wifi3)一致或差异不大时，确定当前场景为“公司”。再比如，历史上在晚上7点到早上8点的周围的wifi信息都是(wif4、wifi5、wifi6)，则将(wif4、wifi5、wifi6)作为“家”对应的围栏，当终端设备检测到周围的wifi信息与(wif4、wifi5、wifi6)一致或差异不大时，确定当前场景为“家”。当然，围栏还可以有其它的形式，比如，围栏还可以由移动网络的小区信息构成，比如终端设备历史上在特定时间段内检测到的服务小区都是小区A或者服务小区是小区A并且邻小区都是(小区1、小区2、小区3)，则将小区A和邻区(小区1、小区2、小区3)作为固定场景对应的围栏。
如果终端设备仅学习固定场景内的小区的QoE，一种可行方式为，比如，终端设备检测到当前场景是“家”，学习当前场景下的多个小区的QoE，其中，所述当前场景下的多个小区是指在所述当前场景下能够检测到并且可以正常驻留的小区。比如，在家中，终端设备能够检测到周围分布的小区有多个，终端设备可以主动连接每个小区以便学习每个小区的QoE，或者，终端设备也可以在接入某个小区之后学习该小区的QoE，当切换到另一个小区之后，再学习所述另一个小区的QoE。
示例性的，参见下表11A，为在不同场景下，终端设备连接各个小区之后采集各个小区的数据的示例。下表中，Scene表示场景、Time表示采集时间点、SIM SerCGI表示手机 中用户身份识别卡(subscriber identity module，SIM)的服务小区(serving cell)的小区全球标识(cell global identity，CGI)，小区的CGI可以是小区cell的Identity，简称CID。SIM SerRSRP表示手机中SIM卡的服务小区的RSRP，SIM SerRSRP表示手机中SIM卡的服务小区的RSRP。
表11A：不同场景下的小区的数据采集
Figure PCTCN2021090748-appb-000012
以上述表11A为例，终端设备可以统计出场景“家”所对应的小区的性能标签的累计统计结果，以及对应的QoE学习结果即评分，也可以统计出场景“公司”所对应的小区的性能标签的累计统计结果，以及对应的QoE学习结果，具体可以参见前文实施例1中1.3的介绍，在此不重复赘述。比如，参见下表11B，为场景“家”对应的小区(比如小区A和小区B)的累计统计结果以及QoE学习结果。
表11B：场景“家”对应的小区的累计统计结果
Figure PCTCN2021090748-appb-000013
由于采集的数据较多，为了数据简洁化，可以将上述表格中的信息映射为简单的索引(Index)，以简化表格，比如，以上述表11A为例，可以按照一定的对应关系将RSRP和RSRQ转换成索引，比如，RSRP-60dBm～-80dBm转换为索引“1”、“优”或“高”，RSRP-80dBm～-100dBm转换为索引“0”、“差”或“低”。再比如，RSRQ值-60dBm～-80dBm转换为索引“1”、“优”或“高”，RSRQ值-80dBm～-100dBm转换为索引“0”、“差”或“低”。再比如，时间段也可以转化为时间索引(Time index)，比如8:00-9:00转换为时间索引“8”，18:00-19:00转换为时间索引“18”。因此，上述表11A所对应的表格可以替换为如下表格11C：
表11C
Scene TimeIndex SerCGI RSRP Index RSRQ Index QoE 原因
家 8 CID1 优 高 流畅  
公司 18 CID2 良 低 一般  
1.5-存储小区的学习结果
方式1、建立小区与评分结果的对应关系并存储。
可选的，在上述学习过程中，可以不需要记录时间段，比如，终端设备在某一个时间段连接到小区A，学习到小区A的评分结果是X，则将X作为该小区的最终评分结果，而不是作为该小区A在所述时间段内的评分结果。再比如，无论终端设备在哪个时间段连接到小区A，都可以学习该小区A的评分结果，然后将各个时间段对该小区A的评分结果综合得到最终评分。这种情况下，终端设备得到各个小区的评分结果，该评分结果不做不同时间段的划分。比如，参见下表12，为各个小区的评分结果的示例。
表12
小区标识 评分结果
小区A 90分～100分
小区B 80分～90分
小区C 70分～80分
其中，每个小区的评分结果可以是一个具体数值，也可以是一个区间范围(参见前文介绍)，本申请实施例对此不作限定。
为了方便使用，终端设备可以存储小区和评分结果的对应关系比如表12，在选择目标小区时，可以基于该对应关系来选择目标小区，比如直接选择评分结果最高的小区，或者基于评分结果对小区测量结果进行抑制或增强，基于抑制或增强后的测量结果选择小区(具体在后文实施例2中方式A至方式C的介绍)。当然所述对应关系是可以更新的，比如，对应关系中存储的小区的评分实际上是历史评分，终端设备当天再次接入到小区A后，得到小区A的当日评分，将当日评分和对应关系中的历史评分综合得到小区A的最终评分。
方式2、建立小区、时间段、评分结果的对应关系并存储。
为了提升小区选择的准确性，终端设备可以将对各个小区在不同时间段的评分结果记录下来，这种情况下，对于同一个小区，不同时间段对应不同的评分结果。示例性的，参见表13，为各个小区的评分结果的示例。
表13
小区标识 时间段 评分结果
小区A 8:00-9:00 90分～100分
小区B 8:00-9:00 80分～90分
小区C 8:00-9:00 70分～80分
小区A 9:00-10:00 60分～70分
小区B 10:00-11:00 60以下
在表13所示的示例中，小区A或小区B在两个时间段的评分结果不同；这样的话，终端设备可以基于不同时间段选择更合适的目标小区。
为了方便使用，终端设备可以存储小区、时间段、评分结果之间的对应关系比如表13，在选择目标小区时，可以基于该对应关系选择。比如，当前时间点是8:30，那么选择包含当前时间点的时间段(8:00-9:00)对应的评分结果，基于该评分结果选择小区。再比如，当前时间点是7:59，那么选择未来的时间段比如8:00-9:00对应的评分结果，基于该评分结果选择小区。其中，基于评估结果选择小区比如直接选择评分结果最高的小区，或者基于评分结果对小区测量结果进行抑制或增强，基于抑制或增强后的测量结果选择小区(具体在后文实施例2中方式A至方式C的介绍)。当然，所述对应关系也是可以更新的，在此不重复赘述。
方式3、建立场景、小区、时间段、评分结果之间的对应关系并存储。
如果终端设备对固定场景的小区进行学习，这种情况下，终端设备可以存储场景、时间段、小区与评分结果之间的对应关系。比如，下表14：
表14
Figure PCTCN2021090748-appb-000014
为了方便标记，还可以将上述各个表可以做简化，比如，将具体的时间段信息比如8:00-9:00转换为时间索引“8”，比如时间段9:00-10:00转换为时间索引“9”。
可选的，对QoE评估时，可以过滤到无效数据，其中无效数据可以包括无QoE数据，比如终端设备发生卡顿，但是卡顿原因是运行应用较多，系统崩溃而导致的卡顿，不是网络卡顿，那么此次卡顿不能统计到累计卡顿次数中；或者，所述无效数据还可以包括卡顿原因是服务器发生故障而导致的卡顿；比如，有上行但无下行的数据，比如，终端设备通过通信应用与第三方服务器交互，但是第三方服务器故障或维修导致终端设备出现卡顿，那么此次卡顿也不能统计到累计卡顿次数中。
在一些实施例中，上述小区的QoE的学习过程可以通过第一算法模型实现。参见图2为，第一算法模型的示意图。比如，第一算法模型的输入参数可以是表6中除去评分之外的其它数据，输出参数为评分结果X1。再比如，第一算法模型的输入参数可以是上述表8中除去评分结果之外的其它数据，输出参数为评分X2；或者，第一算法模型的输入参数还可以是上述表9中除去评分X3之外的其它数据，输出参数为X3。其中，第一算法模型可以是决策树、逻辑回归(logistic regression，LR)，朴素贝叶斯(naive bayes，NB)分类算法，随机森林(random forest，RF)算法，支持向量机(support vector machines，SVM)算法、方向梯度直方图(histogram of oriented gradients,HOG)，神经网络、深度神经网络、卷积神经网络等等。第一算法模型可以是出厂之前事先建立好、并存储在终端设备中的模型；或者，出厂时存储的是初始模型，第一算法模型是对该初始模型进行训练之后得到的模型。其中，训练过程可以理解为将输入参数输入到初始模型，运算得到输出结果(评分结果)，若输出结果与真实结果不符合，则调整初始模型，使得调整后的模型得到的输出 结果尽可能的接入真实结果，调整模型参数之后的模型为第一算法模型。
实施例2
该实施例介绍终端设备基于小区的历史QoE选择目标小区的过程。
参见图3，为本申请实施例提供的一种小区选择方法的流程示意图。该方法的流程包括：
S200，终端设备检测到多个小区。
所述“检测小区”可以理解为通过小区测量，确定的多个满足选择条件的小区。比如，如果终端设备处于连接态，可以确定多个满足小区切换条件(比如RSRP或RSRQ高于服务小区)的小区，如果终端设备处于空闲态，可以确定多个满足小区重选条件(比如前文中的小区重新过程中的Step2至Step4)的小区。所述多个小区中可以包括终端设备当前的服务小区，邻区等。所述“检测小区”过程可以实时的进行。
S201，终端设备获取N个小区中每个小区的历史QoE，N个小区是多个小区中的全部或部分小区。
终端设备在一定的触发时机下获取小区的历史QoE，所述触发时机比如包括如下至少一种：
1、每检测到小区时，就获取小区的历史QoE。如果检测到多个小区，就获取多个小区中全部或部分小区的历史QoE。
2、考虑到终端设备的位置发生变化时检测到的小区不同。因此，终端设备的位置发生变化或变化量大于预设值时，检测小区，然后获取小区的历史QoE。
3、假设终端设备当前接入小区A，当终端设备检测到小区A的信号强度低于阈值时，说明终端设备要移出服务小区比如移动到服务小区的边缘区域，此时，终端设备可以检测小区，然后获取小区的历史QoE，并基于历史QoE选择小区。
4、终端设备检测到进入一个固定场景时，检测小区，然后获取小区的历史QoE。比如，终端设备检测到进入固定场景“家”，则基于上述表11C或表14在“家”对应的多个小区中选择目标小区。其中，终端设备检测到进入一个固定场景的方式请前文实施例1中的1.4。
5、终端设备在固定时间点检测小区，然后获取小区的历史QoE，所述固定时间点比如，整点时刻，所述整点时刻比如8点、9点、10点等等。或者，所述固定时间点可以是整点时刻之前的预设时刻，比如8:59，9:59，10:59等等。这种情况下，可以选择未来时间段内小区的历史QoE。比如，在8:59选择9：00-10:00这个时间段的小区的历史QoE。或者，所述固定时间点可以是时间段(或时间片)的开始时刻获取，比如，时间段是09:00-10:00，那么固定时间点是09:00或09:01。
其中，历史QoE包括历史QoE的评估结果。评估结果可以是评分结果，其中评分结果的过程可以参见实施例1的介绍，也可以是性能标签，比如流畅、卡顿等。下文以评分为例介绍。如实施例1中1.5，终端设备中可以存储小区与评分结果之间的对应关系比如上述表12；或者小区、时间段与评分结果之间的对应关系比如表13或表14。如果是表12所示的不包含时间段的对应关系，终端设备获取小区的历史QoE可以是获取小区的小区标识，基于小区标识在上述对应关系中确定与所述小区标识对应的历史QoE。如果是表13或表14所示的包含时间段的对应关系。那么终端设备获取小区的历史QoE可以包括：获取小区在当前时间点的历史QoE；比如，当前时间点是8:30，则终端设备获取包含8:30的时间段内小区的历史QoE。以表13为例，假设N个小区包括小区A和小区B，包含当 前时间即8:30的时间段是8:00-9:00，那么小区A的历史QoE的评估结果是90分～100分，小区B的历史QoE的评估结果是80分～90分。或者，终端设备获取小区的历史QoE还可以包括：获取在未来时间段内的小区历史QoE的。未来时间段是指在当前时间点之后的预设时间段，比如距离当前时间点较近的时间，比如，假设当前时间点是8:59，未来时间段可以是9:00-10:00这个时间段。
举例来说，假设当天是7月5号，终端设备获取小区在7月5号之前的历史评分结果。再假设当前时间点是7月5号的8:30，终端设备获取包含8:30的时间段(比如8:00-9:00)内小区的历史评分结果。或者，终端设备获取小区的历史QoE的评分结果可以是指获取小区的历史评分结果以及小区的当日评分结果，然后基于小区的历史评分结果和当日评分结果得到小区的最终评分结果。其中，基于小区的历史评分结果和当日评分结果得到小区的最终评分结果的过程请参见前文介绍。假设当前时间点是7月5号8:30，终端设备获取包含8:30的时间段(比如8:00-9:00)内小区的历史评分结果和终端设备在7月5号在8:00-8:30这个时间段内的当日评分结果，基于当日评分结果和历史评分结果得到最终评分结果。这种方式中，终端设备考虑了当日评分结果，较为准确。
S202，终端设备基于历史QoE在多个小区中选择目标小区。
可以理解的是，终端设备检测到多个小区之后，终端设备中可能存储有多个小区中全部或部分小区的历史QoE。因此，下面分两种情况介绍。
情况1，N个小区是多个小区的全部小区。
假设获取到全部小区的历史QoE，那么终端设备基于每个小区的历史QoE对每个小区的直接测量结果(第一测量结果)进行抑制或增强，基于抑制或增强后的测量结果选择小区。具体可以通过如下方式1或方式2进行。
方式1：终端设备基于抑制策略对小区的第一测量结果进行抑制，基于抑制后的测量结果选择小区。具体而言，终端设备获取N个小区的第一测量结果，可以是S200中进行，也可以是在S200之后执行。其中，终端设备获取小区的第一测量结果的过程可以是理解为小区测量，比如物理层进行小区测量，然后将测量结果上报到高层比如RRC层；其中，测量过程可以参见前文描述在此不重复赘述。终端设备基于N个小区中每个小区的历史QoE对每个小区的第一测量结果进行抑制，得到第二测量结果，选择第二测量结果中测量结果最高的小区或测量结果大于阈值的小区为目标小区。比如，假设终端设备检测到小区A、小区B和小区C的第一测量结果如下表15：
表15：第一测量结果
小区 RSRQ
小区A P1
小区A P2
小区B P3
终端设备中存储评分结果与抑制等级的对应关系，其中，评分越高，抑制越弱，比如参见下表16：
表16：抑制等级与评分结果的对应关系
评分结果 抑制等级
(90分，100分] -0dbm
(80分，90分] -0dbm～-3dbm
(70分，80分] -3dbm～-10dbm
(60分，70分] -10dbm～-20dbm
60以下 -20dbm以上
评分越高，抑制越弱，比如，一个小区的测量结果是P＝-60，如果该小区的评分结果是90分，对应的抑制等级是-0dbm，该小区的抑制后的测量结果等于P与抑制等级之和，即P-0＝-60；如果该小区的评分结果是80分，对应的抑制等级是-3dbm，那么该小区的抑制后的测量结果等于P与抑制等级之和，即P-3＝-63；由于-60大于-63，所以，分数越高，抑制越弱，抑制后的测量结果越高，如果终端设备基于抑制后的测量结果选择小区，那么抑制后的测量结果越高，被选中的概率越高。
比如，假设终端设备得到小区A、小区B和小区C各自的评分结果之后，确定对应的抑制等级。比如，小区A的评分结果是X1＝100，对应抑制等级区间为-0dbm～-3dbm，终端设备可以在区间-0dbm～-3dbm中选择任意一个抑制数值对小区A的测量结果P1进行抑制；所述抑制等于测量结果P1加上所述选择出的抑制数值，比如抑制数值是-3dbm，P1是-80dbm，那么抑制后的测量结果是P1-3＝-83dbm。对于小区B和小区C的抑制过程类似，不重复赘述。例如，小区A、小区B和小区C的抑制后的测量结果即第二测量结果参见表17：
表17：第二测量结果
小区 RSRQ
小区A P1-3dbm
小区B P2-5dbm
小区C P3-15dbm
终端设备确定第二测量结果中，哪一个小区的RSRQ最高，则接入哪一个小区。比如，假设P2-5dbm大于P1-3dbm和P3-15dbm，则选择小区B。
在另一些实施例中，上述表16-抑制等级与评分结果的对应关系也可以替换为下表18：卡顿率与抑制等级之间的对应关系，其中，卡顿率越高，抑制越多。这种情况下，终端设备可以基于小区的卡顿率对小区的第一测量结果进行抑制。
表18：卡顿率与抑制等级之间的对应关系
卡顿率 抑制等级
0％-10％ -0dbm
10％-20％ -0dbm至-3dbm
20％-50％ -3dbm至-10dbm
50％-80％ -10dbm至-20dbm
80％-100％ -20dbm以上
当然，上述表16-抑制等级与评分结果的对应关系也可以替换为流畅率与抑制等级之间的对应关系，应理解，流畅率越高，抑制越弱。其中，卡顿率、流畅率的计算方式参见前文实施例1中的1.3。
方式2，与方式1的抑制策略不同，在方式2为增强策略，具体而言，终端设备基于 N个小区中每个小区的历史QoE的评分结果对每个小区的测量结果进行增强，得到第二测量结果，选择第二测量结果中测量结果最高或高于阈值的小区为目标小区。
终端设备可以存储评分结果与增强等级之间的对应关系，比如，参见下表19，为不同评分结果对应的增强等级。
表19：增强等级与评分结果的对应关系
评分结果 增强等级
(90分，100分] 20dbm以上
(80分，90分] 10dbm～20dbm
(70分，80分] 3dbm～10dbm
(60分～70分] 0dbm～3dbm
60以下 0
评分越高，增强越大，比如，一个小区的测量结果是P＝-60，如果该小区的评分结果是90分，对应的增强等级是20dbm，该小区的增强后的测量结果等于P与增强等级之和，即P+20＝-40；如果该小区的评分结果是80分，对应的增强等级是10dbm，那么该小区的增强后的测量结果等于P与增强等级之和，即P+10＝-50；由于-40大于-50，所以，分数越高，增强越大，增强后的测量结果越高，如果终端设备基于增强后的测量结果选择小区，那么增强后的测量结果越高，被选中的概率越高。
比如，终端设备得到小区A、小区B和小区C各自的评分结果之后，确定对应的增强等级。比如，小区A的评分结果是X1＝90，对应增强等级区间为10dbm～20dbm，终端设备可以在区间10dbm～20dbm中选择任意一个增强数值对小区A的测量结果P1进行增强；这里所述的增强是指在测量结果P1加上所述选择出的增强数值，比如增强数值是10dbm，P1是-80dbm，那么增强后的测量结果是-70dbm。对于小区B和小区C的增强过程类似，不重复赘述。
同理，上述表19-增强等级与评分结果的对应关系也可以替换为卡顿率与增强等级之间的对应关系，当然还可以替换为流畅率与增强等级之间的对应关系等等。
情况2，N个小区是多个小区的部分小区。
比如，共检测到三个小区，小区A至小区C，终端设备中存储有小区A和小区C的历史QoE，没有存储小区B的历史QoE。
这种情况下，终端设备可以检测到小区A的第一测量结果、小区B的第一测量结果，小区C的第一测量结果。由于小区A和小区C有历史QoE，所以，终端设备可以基于小区A的历史QoE对小区A的第一测量结果进行抑制或增强，得到小区A的第二测量结果；基于小区C的历史QoE对小区C的第一测量结果进行抑制或增强，得到小区C的第二测量结果。终端设备基于小区A的第二测量结果、小区C的第二测量结果以及小区B的第一测量结果的排序结果，确定测量结果最高或高于阈值的小区为目标小区。
上述方式1和方式2可以结合使用，比如，当小区的评分结果大于阈值时，使用增强策略，当小区的评分结果小于阈值时，使用抑制策略。
可以理解的是，除去上述方式1和方式2之外，还可以包括其它方式，比如：
终端设备选择历史QoE的评分大于阈值的小区，假设评分大于阈值的小区数量为1，那么就选择该小区作为目标小区，假设评分大于阈值的小区的数量大于1，则选择其中评 分最高的小区作为目标小区，或者选择其中信号强度最高的小区作为目标小区。这种方式中，终端设备选择目标小区时，只考虑小区的评分结果，无需对测量结果进行抑制或增强，较为简单。
或者，终端设备可以选择流畅率最高或流畅率大于阈值的小区，和/或，卡顿率最低或卡顿率低于阈值的小区，其中，流畅率和卡顿率的计算方式参见前文实施例1中的1.3。当然，如果基于流畅率或卡顿率选择出的小区有多个，可以在选择所述多个小区中RSRP和/或RSRQ最强的小区。
S203，终端设备驻留到目标小区。
需要说明的是，终端设备驻留到目标小区可以包括多种情况，比如，终端设备原本的服务小区就是所述目标小区，则不执行动作。再比如，终端设备原本不在所述目标小区内，且处于空闲态，那么终端设备需要发起小区重选，驻留到目标小区中。其中，小区重选过程参见前面介绍。再比如，终端设备原本不在目标小区，且处于连接态，则执行小区切换过程，切换到目标小区中，其中小区切换过程参见前文描述。
实施例3
实施例2中的情况2中，终端设备有可能选择出具有QoE的小区比如小区A或小区C，也有可能选择出没有QoE的小区比如小区B。由于终端设备中没有小区B的历史QoE，也就是说，终端设备不清楚小区B的QoE如何，此时，可以启动快速学习策略，所谓快速学习策略可以理解为上述实施例1中小区QoE的学习过程立即执行。通过快速学习策略可以学习到小区B的性能或评分，基于小区B的学习结果判断是否继续驻留到小区B还是重新选择小区。上述快速学习策略包括如下方式1或方式2：
方式1，终端设备驻留小B之后，确定小区B的性能标签。其中，终端设备确定性能标签的方式参见实施例1中的1.2。如果小区B的性能标签满足如下的预设条件时，则继续驻留到小区B，所述预设条件包括：
小区B的性能标签是流畅；或者，
预设时长内小区B的性能标签是流畅的次数大于预设次数；或者，
小区B的网络性能是流畅的时长大预设时长；或者，
终端设备检测到多个小区，比较多个小区的性能标签，其中小区B的性能标签的流畅，其它小区的性能标签均是“一般”或“卡顿”，或者预设时长内小区B的性能标签的流畅的次数相对于其它小区最高；
上述各个预设条件可以单独使用，也可以结合使用，比如，如果小区B的性能标签是流畅，可以无需考虑其它小区的性能标签，继续驻留到小区B；如果小区B的性能标签是“一般”或“卡顿”，可以从其它小区中性能标签是流畅的小区。
假设小区B的性能标签不满足上述预设条件，则从小区B切换到其它小区，所述其它小区可以是原来的小区A，或者，是小区B的其它邻区(除去小区A之外的邻区)。比如，终端设备检测到的多个小区，其它小区是多个小区中QoE最强例如评分最高的小区，或者基于抑制策略(或增强测量)对检测到的多个小区进行抑制(或增强)，基于抑制(或增强)后的测量结果选择的小区，具体参见实施例2中的方式1或方式2。
需要说明的是，终端设备从小区B切换到其它小区可以包括多种情况：比如，如果终端设备选择小区B并驻留到小区B之后，处于连接态，则执行小区切换流程切换到其它小 区。其中，小区切换流程参见前文描述。再比如，如果终端设备选择小区B并驻留到小区B之后，处于空闲态，则执行小区重选流程重选到其它小区。其中，小区重选流程参见前文描述。
方式1较为简单，不需要统计流畅的累计次数、卡顿的累计次数，评分结果等等，节省时间，比如，切换到小区B之后只采集一次数据(比如时延、传输速率)，通过该数据判断小区B的性能标签，基于该性能标签确定是否继续停留在小区B，所以，方式1可以快速判断小区B的性能。
方式2，终端设备驻留小B之后，统计小区B的性能标签的累计次数，比如，从切换到小区B的时刻开始立即统计小区B的性能标签的累计结果，比如类似表6，终端设备可以得到小区B的评分结果。假设终端设备确定小区B的评分结果大于阈值和/或大于原小区A的评分结果，则继续驻留到小区B；否则切换到其它小区。或者，确定小区B的卡顿率低于阈值和/或低于原小区A的卡顿率，则继续驻留到小区B，否则切换到其它小区。或者，确定小区B的流畅率大于阈值和/或大于原小区A的流畅率，则继续驻留到小区B，否则切换到其它小区。其中，其它小区的选择方式可以是上述实施例2中的方式1或方式2。
方式2中终端设备驻留小B之后，统计小区B的性能标签的累计次数，基于统计的性能标签的累计次数可以得到小区B的更为准确的评估结果。比如，终端设备驻留小区B之后，采集了多组数据(时延、传输速率等)，每一组数据可以确定一个性能标签，进而统计性能标签的累计次数，得到较为准确的评估结果。应理解，方式2中统计小区B的性能标签的累计次数需要一定的时间，所以可以控制在一定的时长内，比如2s、3s、5s、7s、10s等，假设每秒钟采集一次数据(时延、传输速率等)，如果时长是5s，就有五组数据可以用于统计。
实施例4
终端设备可以设置两种小区选择机制，即第一种选择机制和第二种选择机制，其中，第一种选择机制例如前文所述的现有机制，这种选择机制可以理解为信号强度优先机制；即，基于直接检测到的测量结果选择目标小区，比如检测到小区A和小区B的信号强度(比如RSRQ)，选择信号强度最强的小区驻留。第二种选择机制是本申请实施例提供的选择机制，这种选择机制可以理解为用户体验优先的机制，即基于QoE评分结果选择目标小区(比如上述实施例2中的方式A或方式B)。
比如，终端设备中设置一个搜网主控模块，该搜网主控模块可以指定上述第一种选择机制或者第二种选择机制。如果指定第一种选择机制，则基于第一种选择机制选择小区，如果指定第二种选择机制，则基于第二种选择机制选择小区。其中，搜网主控模块可以按照一定的策略决定指定第一种选择机制还是第二种选择机制。
比如，默认使用第二种选择机制，当用户指定第一种选择机制时，使用第一种选择机制。其中，用户指定的方式例如：在终端设备的界面上显示一小区选择机制切换按钮，用户通过控制该切换按钮控制在第一种选择机制和第二种选择机制之间切换。
或者，终端设备接入一个小区，但检测到该小区的所有邻区均没有学习结果，此时，终端设备可以使用第一种选择机制。如果所有邻区均没有QoE学习结果，终端设备不清楚邻区的QoE如何，为了能够学习到邻区的QoE，可以基于第一种选择机制选择小区，当学 习到邻区的QoE之后，基于QoE选择小区能够避免切换到QoE较差的小区。
或者，终端设备接入一个小区，但检测到该小区的邻区的评分结果均低于阈值，此时，终端设备可以使用第一种选择机制。在所有邻区的QoE均较差的情况下，说明所有邻区的网络体验均不好，此时，可以基于第一种选择机制选择RSRP和/或RSRQ最高的小区接入，因为RSRP和/或RSRQ较高的小区能够承载的接入量大。
终端设备使用第一种选择机制和第二种选择机制所选择的小区不同。比如，假设终端设备当前连接小区A，在某个时间段内终端设备移动到某个位置W，检测到邻区包括小区B和小区C，基于第一种选择机制，终端设备会选择小区B，因为小区B的RSRQ大于小区A和小区C。假设终端设备连接到小区B之后，QoE为第一QoE。在上述同一个位置W，同一时间段内，终端设备使用第二种选择机制的情况下会选择小区C，虽然小区C的RSRQ可能低于小区B，但是小区C的QoE相对于小区B较好。比如，假设终端设备连接到小区C之后，QoE为第二QoE。第二QoE优于第一QoE。比如，假设第一QoE例如包括：终端设备连接到小区B之后，传输速率是第一速率，传输时延为第一时延，误码率为第一误码率等等，其中，传输速率、时延、误码率等参加实施例1中1.2的介绍。第二QoE例如包括：终端设备连接到小区C之后，传输速率是第二速率，传输时延为第二时延，误码率为第二误码率等等，其中，传输速率、时延、误码率等参加实施例1中1.2的介绍。第二QoE优于第一QoE的，包括：第二速率大于第一速率，和/或，第二时延小于第一时延，和/或，第二误码率低于第一误码率，等等。
从用户使用的角度而言，在同一位置，同一时间段内终端设备基于第一种选择机制选择与小区B连接之后，会出现网络卡顿，比如，播放在线视频的过程中出现卡顿，浏览网页的过程中出现迟迟无法加载出网页内容，等等。但是，在同一位置，同一时间段内终端设备基于第二种选择机制选择与小区C连接之后，网络流畅，比如，播放在线视频的过程中没有卡顿，浏览网页可以较快的加载出网页内容，等等。
实施例5
参见图4所示，为本申请实施例提供的小区选择方法的流程示意图，该流程也可以理解为终端设备内部不同模块之间的信息交互过程。其中，终端设备中包括调制解调器(modem)，用于负责与其他设备比如网络设备的数据传输，场景识别模块，用于进行场景识别；小区评估模块，用于评估小区，比如确定小区的评分结果，小区选择模块，用于选择目标小区。其中，场景识别模块、小区评估模块和小区选择模块中的任意两个或两个以上可以集成在一个物理器件(比如应用处理器)内，或者，场景识别模块、小区评估模块和小区选择模块分别位于不同的物理器件中，本申请实施例不作限定。
如图4所示，该方法的流程包括：
S501，modem向小区选择模块发送小区信息。其中，小区信息可以是终端设备的服务小区的信息，比如包括小区标识、信号强度等等。可以理解的是，在步骤S501之前，还包括modem检测小区信息的步骤，比如，modem接收到服务小区广播的系统消息，该系统消息中包括服务小区的信息。
S502，小区评估模块对小区的QoE评估，得到评分结果，并将评分结果发送给小区选择模块。其中，S502包括S502a和S502b。其中，小区评估模块的学习过程，可以参见前文实施例1的介绍。
S503，场景识别模块进行场景识别，并将场景识别结果发送给小区选择模块。其中， S503包括S503a和S503b。其中，场景识别模块对应场景的识别过程参见前文实施例1中的1.4，在此不重复赘述。步骤S503是可选步骤，因为终端设备可以无需进行场景的识别，比如对每个接入过的小区均进行学习，所以，图中将步骤S503使用虚线表示。步骤S501至S503的执行顺序，本申请实施例不作限定。
S504，小区选择模块建立场景、小区信息与小区的评分结果之间的对应关系。可选的，上述对应关系中还可以包括时间段，例如，所述对应关系例如上述表14所示的对应关系。
上述步骤S501至S504可以理解为终端设备的学习阶段，即学习小区的评分的阶段，所以S501至S503可以执行多次，这样的话，小区选择模块可以获得多个场景下各个小区的学习结果，例如表14所示的对应关系。
下面的S505至S516可以理解小区学习结果的使用阶段。
比如，终端设备检测到从一个时间段跳转到另一个时间段(如从8:00-9:00跳转到9:00-10:00)时，进入“使用阶段”，终端设备进行场景识别、小区信息的检测。如果确定存储的小区学习结果中存在检测到的小区在当前时间段内的学习结果，则生成策略发送给modem，以通过modem执行策略。具体参见下文S505至S516的介绍。
S505，场景识别模块进行场景识别，并将场景识别结果发送给小区选择模块。S505包括S505a和S505b。
S506，modem向小区选择模块发送小区信息。应理解，在步骤S506之前，modem可以进行小区测量，得到小区信息，该小区信息可以包括服务小区的信息，还可以包括邻区的信息。比如终端设备当前驻留在小区A，检测到邻区包括小区B和小区C。那么该小区信息可以包括小区A、小区B和小区C的信息。值得说明的是，使用阶段中步骤S506与学习阶段中步骤S501的小区信息可以不同，学习阶段即步骤S501中的小区信息可以是终端设备的服务小区的信息，因为学习阶段终端设备要学习服务小区的QoE，但是使用阶段即步骤S506中的小区信息可以包括服务小区的信息也可以包括邻区的信息，因为在使用阶段终端设备期望基于服务小区和邻区的QoE学习结果选择合适的小区接入。
S507，小区选择模块在上述对应关系中确定场景对应的多个小区，并确定所述多个小区对应的评分结果。以场景是“家”为例，假设对应关系中存储场景对应的小区有5个，以小区信息包括小区A、小区B和小区C为例，终端设备在所述5个小区中确定小区A、小区B和小区C对应的评分结果。
S508，小区选择模块基于评分结果，确定策略。所述策略可以是抑制策略，即小区选择模块可以基于评分结果与抑制等级之间的对应关系(比如上述表16)确定小区对应的抑制等级，即所述抑制策略包括小区对应的抑制等级。参见下表20，为小区选择模块确定的一种策略(抑制策略)的示例。
表20：策略
Figure PCTCN2021090748-appb-000015
可选的，上述抑制策略还可以替换为增强策略，具体参见前文的介绍。
S509，小区选择模块将确定的策略发送给modem。假设策略是上述表格16，小区选 择模块可以将上述表格发送给modem。
可选的，小区选择模块向modem发送策略之前，可以判断是否满足特定条件，如果是，则发送策略，否则不发送策略。其中，所述特定条件包括至少一种：
确定当前场景与上述对应关系比如表14中的场景匹配；或者，
QoE统计次数总和大于阈值；所述QoE统计次数总和是历史卡顿累计次数、历史流畅累计次数与历史一般累计次数之和；或者，
累计天数超过一定天数，其中；累计天数可以参见前文实施例1中的1.3的介绍。
S510，modem基于执行策略对相应的小区进行抑制。可以理解的是，如果S508确定的策略是抑制策略，则对小区的测量结果进行抑制，如果S508确定的策略是增强策略，则对小区的测量结果进行增强。以抑制策略为例，Modem可以检测到小区A、小区B和小区C的测量结果。当modem接收到策略之后，基于小区A的抑制等级对小区A的测量结果进行抑制，基于小区B的抑制等级对小区B的测量结果进行抑制，基于小区C的抑制等级对小区C的测量结果进行抑制(抑制过程可参见实施例2)，得到小区A、小区B和小区C的抑制后的测量结果，比如上述表17。
S511，modem选择目标小区。即modem基于小区A、小区B和小区C的抑制后的测量结果选择目标小区，具体内容请参见上述实施例2的介绍。
需要说明的是，步骤S508-S510是可选步骤，因为终端设备执行完步骤S507可以直接将小区对应的评分结果发送给modem，所以可以使用步骤“小区选择模块将小区对应的评分结果发送给modem”来替换步骤S508-S510，这种情况下，S511中modem选择目标小区可以是指基于第二小区对应的评分结果选择目标小区，比如哪一个小区的评分结果最高就选择哪一个小区，无需对小区的测量结果进行抑制。
S512，modem向小区选择模块发送用于指示策略执行的通知。步骤S512是可选步骤，可以不执行。
在一些实施例中，终端设备可以监控T时间内的小区变化，若变化后的小区不在学习结果中，则对变化后的小区执行快速评估策略以确定是否取消策略。其中，时间片长度>T>0，时间片长度即前文实施例1中的时间段。比如，通过快速评估策略计算出变化后的小区的评估结果，如果评估结果较差，则取消策略(比如抑制策略)。其中，变化后的小区的评估结果较差包括：变化后的小区的评分或卡顿率大于门限或者高于变化前的小区；说明切换后的小区QoE较差，此时可以取消抑制策略。具体参见下文中S513至S518。
S513，小区选择模块判断服务小区是否发生变化，如果是，执行S514，如果否，继续执行S513。终端设备的服务小区在实时的变化，可以检测服务小区的变化情况。
S514，小区选择模块判断变化后的小区是否在策略中，如果否，执行S515，如果是，执行S515。存在一种情况，终端设备的服务小区从小区A变化为小区D，但是小区D不存在于上述策略中，以上述表格16为例，策略中包括小区A、小区B、小区C的学习结果，但是不包括小区D的学习结果(比如终端设备没有学习过小区D的QoE，所以上述策略中没有小区D的学习结果)，此时，终端设备可以执行快速评估策略，即S516。
S515，小区选择模块向Modem发送继续执行策略的通知消息。
S515是可选步骤，可以执行也可以不执行，比如，modem在没有接收到取消策略的通知时，默认继续执行所述策略，这种情况下，S515可以不执行。
S516，小区选择模块执行快速评估策略。其中，快速评估策略的执行过程可以参见前 文实施例2，在此不重复赘述。
S517，小区选择模块判断变化后的小区的评估结果是否低于门限或低于变化之前的小区。如果是，执行S518，否则，执行S513。其中，评估结果包括评分或者卡顿率；因此，变化后的小区的评估结果低于门限或低于变化之前的小区，包括：通过快速评估策略确定变化后的小区的评分低于门限或者低于小区A的评分；或者，通过快速评估策略确定变化后的小区的卡顿率高于门限或者高于小区A的卡顿率。应当理解的是，评估结果除了评分或者卡顿率之外，还可以包括流畅率，所以变化后的小区的评估结果低于门限或低于变化之前的小区，还可以包括：变化后的小区的流畅率低于门限或低于变化之前的小区的流畅率。
S518，小区选择模块向modem发送用于指示取消策略的通知。
继续以前面的例子为例，终端设备的服务小区从小区A变化为小区D，但是小区D不存在于上述策略中。在小区D的评估结果(比如评分或卡顿率)低于门限或低于小区A的情况下，如果modem继续执行所述策略的话，会一直抑制小区A至小区C的测量结果，终端设备基于抑制后的测量结果选择目标小区的话将无法尽快恢复到小区A至小区C，所以小区选择模块通知modem取消策略的执行。
需要说明的是，如果S508中确定的策略是“增强策略”，上述方案可以替换为：小区选择模块可以在判断变化后的小区的评估结果高于门限或高于变化之前的小区时，取消增强策略，因为变化后的小区QoE较好的话，如果继续执行增强策略，基于增强后的测量结果选择小区，很可能会切换到其它小区中，为了避免这种情况的发生，可以取消增强策略。其中，变化后的小区的评估结果高于门限或高于变化之前的小区，包括：变化后的小区的分数高于门限或高于变化之前的小区的分数，或者，变化后的小区的卡顿率低于门限或低于变化之前的小区，或者，变化后的小区的流畅率高于门限或高于变化之前的小区的流畅率。
可以理解的是，在步骤S518之后，还可以包括其它步骤，比如modem取消策略的执行，当然，还可以包括modem向小区选择模块发送策略已取消执行的通知，等等。
在一些实施例中，对于评估结果低于阈值的小区可以作为黑小区，所谓黑小区可以理解为终端设备不会切换到该小区，也可以理解为被加入黑名单的小区。其中，评估结果低于阈值的小区包括：分数低于阈值、卡顿率高于阈值或流畅率低于阈值的小区。
实施例6
参见图5所示，该实施例与图4所示的实施例的区别为，图4中的小区选择模块集成在modem中，即小区选择模块的功能由modem执行。其中，场景识别模块和小区评估模块可以位于同一器件，比如应用处理器，也可以位于不同器件，本申请实施例不作限定。
参见图5所示，该流程包括：
S601，modem检测到小区信息。
S602，小区评估模块对小区的QoE评估，得到评分结果，并将评分结果发送给modem。其中，S602包括S602a和S602b。
S603，场景识别模块进行场景识别，并将场景识别结果发送给小区选择模块。其中，S603包括S603a和S603b。
步骤S603是可选步骤。步骤S601至S603的执行顺序，本申请实施例不作限定。
S604，modem建立场景、小区信息与小区的评分结果之间的对应关系。
S605，场景识别模块进行场景识别，并将场景识别结果发送给modem。S605包括S605a和S605b。
S606，modem检测到小区信息。
S607，modem在上述对应关系中确定场景对应的多个小区，并确定所述多个小区对应的评分结果。
S608，modem基于评分结果，确定策略。
S609，modem基于策略对相应的小区进行抑制。
S610，modem选择目标小区。
步骤S608-S609是可选步骤，终端设备执行完步骤S607之后可以直接执行S610，这种情况下，S610中modem选择目标小区可以是指基于小区对应的评分结果选择目标小区，比如哪一个小区的评分结果最高就选择哪一个小区，无需对小区策略结果进行抑制。
S611，modem判断服务小区是否发生变化，如果是，执行步骤S612，如果不是，继续执行步骤S611。
S612，modem判断变化后的小区是否在策略中，如果否，执行步骤S613，如果是，执行S609或S610。
S613，modem执行快速评估策略。
S614，modem判断变化后的小区的评估结果是否低于阈值或低于变化前的小区，如果是，执行S615，如果否，执行S611。
S615，modem取消策略的执行。
实施例7
两个设备之间进行数据传输，是一层一层的传输，比如，以设备A的协议层包括四层为例：应用(app)层、传输层比如传输控制协议(transmission control protocol，TCP)层、网络层、数据链路层，设备A发送数据的过程包括：设备A中应用层的数据发送给传输(TCP)层，通过TCP层发送给网络层，再通过网络层发送给数据链路层，最终通过数据链路层发送出去。设备A接收数据的过程包括：通过数据链路层接收数据，传递给网络层，然后传递给TCP层，最后传递给应用层。
前面实施例1中，一个小区的QoE的评价指标包括时延、传输速率等，以时延为例，可以是应用层的时延、TCP层的时延、网络层的时延或数据链路层的时延等等。其中，应用层的时延可以是指数据从发送端应用层到接收端的应用层的时间；或者，是指数据从发送端应用层到接收端的应用层的时间，然后加上数据从接收端应用层到发送端应用层的时间。以TCP层的时延为例，TCP层的时延可以是指数据从发送端TCP层到接收端TCP层的时间，或者，是指数据从发送端TCP层到接收端的TCP层的时间，然后加上数据从接收端TCP层到发送端TCP层的时间。
参见图6所示，为本申请实施例提供的小区选择方法的一种流程示意图，该流程包括：
S701a，应用层或TCP层向小区评估模块发送第一信息。
其中，所述第一信息可以包括时延、传输速率等，其中，时延可以是应用层的时延，也可以是TCP层的时延；传输速率可以是应用层的传输速率，也可以是TCP层的传输速率。第一信息可以用于评估小区的QoE。
步骤S701a是可选步骤，因为终端设备还可以通过数据链路层的时延、传输速率等评价小区的QoE。
S701b，modem向小区评估模块发送小区信息。小区信息是终端设备的服务小区的信息。可选的，modem还可以向小区评估模块发送modem检测到的时延、传输速率等，其中可以包括数据传输链路层的时延、传输速率。
S702，小区评估模块对小区进行评估，得到小区的评分结果。
其中，小区评估模块可以基于第一信息对小区进行评估。比如，第一信息中时延较低，则评估为卡顿，时延较高，则评估为流畅。和/或，当S701b中包括modem检测到的时延和传输速率时，还可以基于S701b中的时延、传输信息对小区进行评估，比如时延较低，则评估为卡顿，时延较高，则评估为流畅。
S703，小区评估模块进行场景识别，得到场景识别结果。
S704，小区评估模块建立场景、小区信息、小区的评分结果之间的对应关系。
上述S701至S704可以理解为终端设备的学习阶段，所以S701至S704可以执行多次，比如每执行一次，可以检测到一个小区的评估结果。因此，终端设备可以得到不同场景下多个小区的评分结果。
S705a，应用层或TCP层将第二信息发送给小区评估模块。
其中，所述第二信息可以包括时延、传输速率等，其中，时延可以是应用层的时延，也可以是TCP层的时延；传输速率可以是应用层的传输速率，也可以是TCP层的传输速率。
S705b，小区评估模块从modem接收小区信息，所述小区信息可以包括服务小区的信息，也可以包括邻区的信息；可选的，S705b中还可以包括modem检测到的时延、传输速率，其中可以包括数据传输链路层的时延、传输速率。
需要说明的是，步骤S705a是可选步骤，因为第二信息是使用阶段的时延、传输速率等，而S701a学习阶段的时延、传输速率等，所以第二信息相对于第一信息而言，第一信息是历史信息，第三信息是当前信息，所以，如果执行S705a，终端设备可以基于历史信息和当前信息进行综合评估(参见前文实施例1中基于当日评估结果和历史评估结果确定综合评估结果的过程)，当然，如果不执行S705a也是可以的。
S706，小区评估模块进行场景识别，得到场景识别结果。
S707，小区评估模块在上述对应关系中确定场景对应的多个小区，并确定所述多个小区对应的评分结果。
S708，小区评估模块基于评分结果，确定策略。
S709，小区评估模块向modem发送策略。
S710，modem基于策略对相应的小区进行抑制。
S711，modem选择目标小区。
S712，modem向小区评估模块发送用于指示策略执行的通知。
S713，modem判断服务小区是否发生变化，如果是，执行步骤S714，如果不是，继续执行步骤S713。
S714，modem判断变化后的小区是否在策略中，如果否，执行步骤S715，如果是，执行S715。
S715，小区评估模块向modem发送继续执行策略的通知。
S716，modem执行快速评估策略。
S717，modem判断变化后的小区的评估结果是否低于阈值或低于变化前的小区，如果 是，执行S718，如果否，执行S713。
S718，小区评估模块向modem发送用于指示取消策略的通知。
实施例7
该实施例与图6所示的实施例的区别为小区选择模块集成在modem中，即图6所示的实施例中小区选择模块的功能由modem实现。
参见图7所示，为本申请实施例提供的小区选择方法的一种流程示意图，该流程包括：
S801，应用层或TCP层将第一信息发送给modem。
S802，modem检测到小区信息。
S803，modem对小区进行评估，得到小区的评分结果。
S804，modem进行场景识别，得到场景识别结果。
S805，modem建立场景、小区信息、小区的评分结果之间的对应关系。
S806，应用层或TCP层将第二信息发送给modem。
S807，modem检测小区信息。
S808，modem进行场景识别，得到场景识别结果。
S809，modem在上述对应关系中确定场景对应的多个小区的评分结果。
S810，modem基于评分结果，确定策略。
S811，modem基于策略对相应的小区进行抑制。
S812，modem选择目标小区。
S813，modem判断服务小区是否发生变化，如果是，执行步骤S814，如果不是，继续执行步骤S813。
S814，modem判断变化后的小区是否在策略中，如果否，执行步骤S815，如果是，执行S811或S812。
S815，modem执行快速评估策略。
S816，modem判断变化后的小区的评估结果是否低于阈值或低于变化前的小区，如果是，执行S817，如果否，执行S813。
S817，modem取消策略的执行。
下面介绍本申请实施例提供的终端设备。
图8作为终端设备的一种结构示意图。如图8所示，终端设备可以包括处理器110，外部存储器接口120，内部存储器121，通用串行总线(universal serial bus，USB)接口130，充电管理模块140，电源管理模块141，电池142，天线1，天线2，移动通信模块150，无线通信模块160，音频模块170，扬声器170A，受话器170B，麦克风170C，耳机接口170D，传感器模块180，按键190，马达191，指示器192，摄像头193，显示屏194，以及用户标识模块(subscriber identification module，SIM)卡接口195等。
处理器110可以包括一个或多个处理单元，例如：处理器110可以包括应用处理器(application processor，AP)，调制解调器(modem)，图形处理器(graphics processing unit，GPU)，图像信号处理器(image signal processor，ISP)，控制器，存储器，视频编解码器，数字信号处理器(digital signal processor，DSP)，基带处理器，和/或神经网络处理器(neural-network processing unit，NPU)等。其中，不同的处理单元可以是独立的器件，也可以集成在一个或多个处理器中。其中，控制器可以是终端设备的神经中枢和指挥中心。控制器可以根据指令操作码和时序信号，产生操作控制信号，完成取指令和执行指令的控制。 处理器110中还可以设置存储器，用于存储指令和数据。在一些实施例中，处理器110中的存储器为高速缓冲存储器。该存储器可以保存处理器110刚用过或循环使用的指令或数据。如果处理器110需要再次使用该指令或数据，可从所述存储器中直接调用。避免了重复存取，减少了处理器110的等待时间，因而提高了系统的效率。
在一些实施例中，处理器110集成应用处理器和调制解调器(modem)，应用处理器和调制解调器的功能参见图4至图7的描述。
USB接口130是符合USB标准规范的接口，具体可以是Mini USB接口，Micro USB接口，USB Type C接口等。USB接口130可以用于连接充电器为终端设备充电，也可以用于终端设备与外围设备之间传输数据。充电管理模块140用于从充电器接收充电输入。电源管理模块141用于连接电池142，充电管理模块140与处理器110。电源管理模块141接收电池142和/或充电管理模块140的输入，为处理器110，内部存储器121，外部存储器，显示屏194，摄像头193，和无线通信模块160等供电。
终端设备的无线通信功能可以通过天线1，天线2，移动通信模块150，无线通信模块160，调制解调处理器以及基带处理器等实现。天线1和天线2用于发射和接收电磁波信号。终端设备中的每个天线可用于覆盖单个或多个通信频带。不同的天线还可以复用，以提高天线的利用率。例如：可以将天线1复用为无线局域网的分集天线。在另外一些实施例中，天线可以和调谐开关结合使用。
其中，移动通信模块150可以提供应用在终端设备上的包括2G/3G/4G/5G等无线通信的解决方案。移动通信模块150可以包括至少一个滤波器，开关，功率放大器，低噪声放大器(low noise amplifier，LNA)等。移动通信模块150可以由天线1接收电磁波，并对接收的电磁波进行滤波，放大等处理，传送至调制解调处理器进行解调。移动通信模块150还可以对经调制解调处理器调制后的信号放大，经天线1转为电磁波辐射出去。在一些实施例中，移动通信模块150的至少部分功能模块可以被设置于处理器110中。在一些实施例中，移动通信模块150的至少部分功能模块可以与处理器110的至少部分模块被设置在同一个器件中。
无线通信模块160可以提供应用在终端设备上的包括无线局域网(wireless local area networks，WLAN)(如无线保真(wireless fidelity，Wi-Fi)网络)，蓝牙(bluetooth，BT)，全球导航卫星系统(global navigation satellite system，GNSS)，调频(frequency modulation，FM)，近距离无线通信技术(near field communication，NFC)，红外技术(infrared，IR)等无线通信的解决方案。无线通信模块160可以是集成至少一个通信处理模块的一个或多个器件。无线通信模块160经由天线2接收电磁波，将电磁波信号调频以及滤波处理，将处理后的信号发送到处理器110。无线通信模块160还可以从处理器110接收待发送的信号，对其进行调频，放大，经天线2转为电磁波辐射出去。
在一些实施例中，终端设备的天线1和移动通信模块150耦合，天线2和无线通信模块160耦合，使得终端设备可以通过无线通信技术与网络以及其他设备通信。所述无线通信技术可以包括全球移动通讯系统(global system for mobile communications，GSM)，通用分组无线服务(general packet radio service，GPRS)，码分多址接入(code division multiple access，CDMA)，宽带码分多址(wideband code division multiple access，WCDMA)，时分码分多址(time-division code division multiple access，TD-SCDMA)，长期演进(long term evolution，LTE)，BT，GNSS，WLAN，NFC，FM，和/或IR技术等。所述GNSS可以包 括全球卫星定位系统(global positioning system，GPS)，全球导航卫星系统(global navigation satellite system，GLONASS)，北斗卫星导航系统(beidou navigation satellite system，BDS)，准天顶卫星系统(quasi-zenith satellite system，QZSS)和/或星基增强系统(satellite based augmentation systems，SBAS)。
显示屏194用于显示应用的显示界面，例如相机应用的取景界面等。显示屏194包括显示面板。显示面板可以采用液晶显示屏(liquid crystal display，LCD)，有机发光二极管(organic light-emitting diode，OLED)，有源矩阵有机发光二极体或主动矩阵有机发光二极体(active-matrix organic light emitting diode的，AMOLED)，柔性发光二极管(flex light-emitting diode，FLED)，Miniled，MicroLed，Micro-oLed，量子点发光二极管(quantum dot light emitting diodes，QLED)等。在一些实施例中，终端设备可以包括1个或N个显示屏194，N为大于1的正整数。
终端设备可以通过ISP，摄像头193，视频编解码器，GPU，显示屏194以及应用处理器等实现拍摄功能。
ISP用于处理摄像头193反馈的数据。例如，拍照时，打开快门，光线通过镜头被传递到摄像头感光元件上，光信号转换为电信号，摄像头感光元件将所述电信号传递给ISP处理，转化为肉眼可见的图像。ISP还可以对图像的噪点，亮度，肤色进行算法优化。ISP还可以对拍摄场景的曝光，色温等参数优化。在一些实施例中，ISP可以设置在摄像头193中。
摄像头193用于捕获静态图像或视频。物体通过镜头生成光学图像投射到感光元件。感光元件可以是电荷耦合器件(charge coupled device，CCD)或互补金属氧化物半导体(complementary metal-oxide-semiconductor，CMOS)光电晶体管。感光元件把光信号转换成电信号，之后将电信号传递给ISP转换成数字图像信号。ISP将数字图像信号输出到DSP加工处理。DSP将数字图像信号转换成标准的RGB，YUV等格式的图像信号。
在本申请实施例中，终端设备可以包括N个摄像头193(例如阵列式摄像头)，N为大于或等于2的整数。
数字信号处理器用于处理数字信号，除了可以处理数字图像信号，还可以处理其他数字信号。例如，当终端设备在频点选择时，数字信号处理器用于对频点能量进行傅里叶变换等。
视频编解码器用于对数字视频压缩或解压缩。终端设备可以支持一种或多种视频编解码器。这样，终端设备可以播放或录制多种编码格式的视频，例如：动态图像专家组(moving picture experts group，MPEG)1，MPEG2，MPEG3，MPEG4等。
NPU为神经网络(neural-network，NN)计算处理器，通过借鉴生物神经网络结构，例如借鉴人脑神经元之间传递模式，对输入信息快速处理，还可以不断的自学习。通过NPU可以实现终端设备的智能认知等应用，例如：图像识别，人脸识别，语音识别，文本理解等。
内部存储器121可以用于存储计算机可执行程序代码，所述可执行程序代码包括指令。处理器110通过运行存储在内部存储器121的指令，从而执行终端设备的各种功能应用以及数据处理。内部存储器121可以包括存储程序区和存储数据区。其中，存储程序区可存储操作系统，以及至少一个应用程序(例如爱奇艺应用，微信应用等)的软件代码等。存储数据区可存储终端设备使用过程中所产生的数据(例如拍摄的图像、录制的视频等)等。此 外，内部存储器121可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件，闪存器件，通用闪存存储器(universal flash storage，UFS)等。
外部存储器接口120可以用于连接外部存储卡，例如Micro SD卡，实现扩展终端设备的存储能力。外部存储卡通过外部存储器接口120与处理器110通信，实现数据存储功能。例如将图片，视频等文件保存在外部存储卡中。
内部存储器121或外部存储器可以存储一个或多个计算机程序，所述一个或多个计算机程序包括指令，当所述指令被所述处理器110执行时，使得终端设备执行如图3-图7所提供的方法。
终端设备可以通过音频模块170，扬声器170A，受话器170B，麦克风170C，耳机接口170D，以及应用处理器等实现音频功能。例如音乐播放，录音等。
其中，传感器模块180可以包括压力传感器180A，陀螺仪传感器180B，气压传感器180C，磁传感器180D，加速度传感器180E，距离传感器180F，接近光传感器180G，指纹传感器180H，温度传感器180J，触摸传感器180K，环境光传感器180L，骨传导传感器180M等。
压力传感器180A用于感受压力信号，可以将压力信号转换成电信号。在一些实施例中，压力传感器180A可以设置于显示屏194。陀螺仪传感器180B可以用于确定终端设备的机身姿态。在一些实施例中，可以通过陀螺仪传感器180B确定终端设备围绕三个轴(即，x，y和z轴)的角速度。
气压传感器180C用于测量气压。在一些实施例中，终端设备通过气压传感器180C测得的气压值计算海拔高度，辅助定位和导航。磁传感器180D包括霍尔传感器。终端设备可以利用磁传感器180D检测翻盖皮套的开合。在一些实施例中，当终端设备是翻盖机时，终端设备可以根据磁传感器180D检测翻盖的开合。进而根据检测到的皮套的开合状态或翻盖的开合状态，设置翻盖自动解锁等特性。加速度传感器180E可检测终端设备在各个方向上(一般为三轴)加速度的大小。当终端设备静止时可检测出重力的大小及方向。还可以用于识别终端设备姿态，应用于横竖屏切换，计步器等应用。
距离传感器180F，用于测量距离。终端设备可以通过红外或激光测量距离。在一些实施例中，拍摄场景，终端设备可以利用距离传感器180F测距以实现快速对焦。接近光传感器180G可以包括例如发光二极管(LED)和光检测器，例如光电二极管。发光二极管可以是红外发光二极管。终端设备通过发光二极管向外发射红外光。终端设备使用光电二极管检测来自附近物体的红外反射光。当检测到充分的反射光时，可以确定终端设备附近有物体。当检测到不充分的反射光时，终端设备可以确定终端设备附近没有物体。终端设备可以利用接近光传感器180G检测用户手持终端设备贴近耳朵通话，以便自动熄灭屏幕达到省电的目的。接近光传感器180G也可用于皮套模式，口袋模式自动解锁与锁屏。
环境光传感器180L用于感知环境光亮度。终端设备可以根据感知的环境光亮度自适应调节显示屏194亮度。环境光传感器180L也可用于拍照时自动调节白平衡。环境光传感器180L还可以与接近光传感器180G配合，检测终端设备是否在口袋里，以防误触。指纹传感器180H用于采集指纹。终端设备可以利用采集的指纹特性实现指纹解锁，访问应用锁，指纹拍照，指纹接听来电等。
温度传感器180J用于检测温度。在一些实施例中，终端设备利用温度传感器180J检测的温度，执行温度处理策略。例如，当温度传感器180J上报的温度超过阈值，终端设备 执行降低位于温度传感器180J附近的处理器的性能，以便降低功耗实施热保护。在另一些实施例中，当温度低于另一阈值时，终端设备对电池142加热，以避免低温导致终端设备异常关机。在其他一些实施例中，当温度低于又一阈值时，终端设备对电池142的输出电压执行升压，以避免低温导致的异常关机。
触摸传感器180K，也称“触控面板”。触摸传感器180K可以设置于显示屏194，由触摸传感器180K与显示屏194组成触摸屏，也称“触控屏”。触摸传感器180K用于检测作用于其上或附近的触摸操作。触摸传感器可以将检测到的触摸操作传递给应用处理器，以确定触摸事件类型。可以通过显示屏194提供与触摸操作相关的视觉输出。在另一些实施例中，触摸传感器180K也可以设置于终端设备的表面，与显示屏194所处的位置不同。
骨传导传感器180M可以获取振动信号。在一些实施例中，骨传导传感器180M可以获取人体声部振动骨块的振动信号。骨传导传感器180M也可以接触人体脉搏，接收血压跳动信号。
按键190包括开机键，音量键等。按键190可以是机械按键。也可以是触摸式按键。终端设备可以接收按键输入，产生与终端设备的用户设置以及功能控制有关的键信号输入。马达191可以产生振动提示。马达191可以用于来电振动提示，也可以用于触摸振动反馈。例如，作用于不同应用(例如拍照，音频播放等)的触摸操作，可以对应不同的振动反馈效果。触摸振动反馈效果还可以支持自定义。指示器192可以是指示灯，可以用于指示充电状态，电量变化，也可以用于指示消息，未接来电，通知等。SIM卡接口195用于连接SIM卡。SIM卡可以通过插入SIM卡接口195，或从SIM卡接口195拔出，实现与终端设备的接触和分离。
可以理解的是，图8所示的部件并不构成对终端设备的具体限定，手机还可以包括比图示更多或更少的部件，或者组合某些部件，或者拆分某些部件，或者不同的部件布置。此外，图8中的部件之间的组合/连接关系也是可以调整修改的。
图4所示的流程应用于图8所示的终端设备时，场景设备模块、小区评估模块、小区选择模块中的一个或多个模块可以集成在处理器110中；比如，处理器110集成应用处理器和modem，那么场景设备模块、小区评估模块、小区选择模块中的一个或多个模块可以集成在应用处理器或modem中。或者，处理器110是终端设备中多个处理器的统称，场景设备模块、小区评估模块、小区选择模块可以集成在所述多个处理器中的同一个处理器或不同处理器中。所述多个处理器例如包括应用处理器，调制解调器(modem)，神经网络处理器等。
图5所示的流程应用于图8所示的终端设备时，场景设备模块、小区评估模块中的一个或多个模块可以集成在处理器110中；比如，处理器110集成应用处理器和modem，那么场景设备模块、小区评估模块中的一个或多个模块可以集成在应用处理器或modem中。或者，处理器110是终端设备中多个处理器的统称，场景设备模块、小区评估模块可以集成在所述多个处理器中的同一个处理器或不同处理器中。所述多个处理器例如包括应用处理器，调制解调器(modem)，神经网络处理器等。
图6所示的流程应用于图8所示的终端设备时，应用层/TCP层、小区评估模块中的一个或多个模块可以集成在处理器110中；比如，处理器110集成应用处理器和modem，那么应用层/TCP层、小区评估模块中的一个或多个模块可以集成在应用处理器或modem中，比如，应用层/TCP层集成在modem中，小区评估模块集成在应用处理器中。或者，处理 器110是终端设备中多个处理器的统称，应用层/TCP层、小区评估模块可以集成在所述多个处理器中的同一个处理器或不同处理器中。所述多个处理器例如包括应用处理器，调制解调器(modem)，神经网络处理器等。
图7所示的流程应用于图8所示的终端设备时，应用层/TCP层可以集成在处理器110中；比如，处理器110集成应用处理器和modem，那么应用层/TCP层集成在应用处理器或modem中。
图9为本申请实施例提供的一种电子设备的分层结构框图。如图9所示，电子设备的结构可以是分层架构，例如可以分成若干个层，每一层都有清晰的角色和分工。层与层之间通过软件接口通信。在一些实施例中，系统分为五层，从上至下分别为应用程序层(简称应用层)，应用程序框架层(framework，FWK)，硬件抽象层(hardware abstraction layer，HAL)、内核层，硬件层。
应用程序层可以包括一系列应用程序包。图9仅示例性的画出相机、图库、即时通信应用等，实际上还可以包括更多的应用，例如，还可以包括设置、皮肤模块、用户界面(user interface，UI)、日历，通话，地图，导航，WLAN，蓝牙，音乐，视频等。其中，即时通信应用例如可以包括畅连、端短信等应用。
应用程序框架层为应用程序层的应用程序提供应用编程接口(application programming interface，API)和编程框架。应用程序框架层可以包括一些预先定义的函数。
如图9所示，框架层包括场景识别模块、小区评估模块、小区选择模块等模块。其中，场景识别模块的功能参见图4至图5所示实施例中场景识别模块的流程。小区评估模块的功能参见图4至图6所示实施例中的小区评估模块的流程。小区选择模块的功能参见图4所示的实施例中小区选择模块的流程。
应理解，框架层中还可以包括其它模块，比如窗口管理服务(window manager service，WMS)，内容提供器，视图系统，电话管理器，资源管理器，通知管理器等。其中，WMS用于管理窗口，具体包括窗口的建立、位置或大小的调整、窗口的关闭等等。窗口管理器用于管理窗口程序。窗口管理器可以获取显示屏大小，判断是否有状态栏，锁定屏幕，截取屏幕等。内容提供器用来存放和获取数据，并使这些数据可以被应用程序访问。所述数据可以包括视频，图像，音频，拨打和接听的电话，浏览历史和书签，电话簿等。视图系统包括可视控件，例如显示文字的控件，显示图片的控件等。视图系统可用于构建应用程序。显示界面可以由一个或多个视图组成的。例如，包括短信通知图标的显示界面，可以包括显示文字的视图以及显示图片的视图。电话管理器用于提供电子设备的通信功能。例如通话状态的管理(包括接通，挂断等)。资源管理器为应用程序提供各种资源，比如本地化字符串，图标，图片，布局文件，视频文件等等。通知管理器使应用程序可以在状态栏中显示通知信息，可以用于传达告知类型的消息，可以短暂停留后自动消失，无需用户交互。比如通知管理器被用于告知下载完成，消息提醒等。通知管理器还可以是以图表或者滚动条文本形式出现在系统顶部状态栏的通知，例如后台运行的应用程序的通知，还可以是以对话窗口形式出现在屏幕上的通知。例如在状态栏提示文本信息，发出提示音，电子设备振动，指示灯闪烁等。
内核层是硬件和软件之间的层。如图9所示内核层中包括TCP、IP等协议层，其中TCP层的功能参见图6至图7所示实施例中的TCP层的流程。当然，内核层还可以包括输入设备驱动，显示驱动，包括摄像头驱动，音频驱动，传感器驱动等。
硬件层包括应用处理器(application processor，AP)，和调制解调器modem；
应用处理器，用于执行确定小区的历史QoE的相关流程。比如，应用处理器用于获取小区的历史QoE。比如，应用处理器中可以集成场景识别模块和小区评估模块，具体功能参见前文描述。
modem用于执行、小区测量、小区测量结果的抑制或增强，小区选择等。比如，modem中可以集成小区选择模块，具体功能参见前文描述。
比如，应用处理器将小区的历史QoE发送给modem；modem基于小区的历史QoE，选择小区。其中，modem的小区选择过程包括实施例2中的情况1和情况2，在此不重复赘述。
可以理解的是，图9所示的软件结构并不构成对电子设备的软件结构的具体限定，例如可以包括比图3中更多或更少的层，本申请实施例不作限定。
在本说明书中描述的参考“一个实施例”或“一些实施例”等意味着在本申请的一个或多个实施例中包括结合该实施例描述的特定特征、结构或特点。由此，在本说明书中的不同之处出现的语句“在一个实施例中”、“在一些实施例中”、“在其他一些实施例中”、“在另外一些实施例中”等不是必然都参考相同的实施例，而是意味着“一个或多个但不是所有的实施例”，除非是以其他方式另外特别强调。术语“包括”、“包含”、“具有”及它们的变形都意味着“包括但不限于”，除非是以其他方式另外特别强调。
此外，上述实施例中所用，根据上下文，术语“当…时”或“当…后”可以被解释为意思是“如果…”或“在…后”或“响应于确定…”或“响应于检测到…”。类似地，根据上下文，短语“在确定…时”或“如果检测到(所陈述的条件或事件)”可以被解释为意思是“如果确定…”或“响应于确定…”或“在检测到(所陈述的条件或事件)时”或“响应于检测到(所陈述的条件或事件)”。另外，在上述实施例中，使用诸如第一、第二之类的关系术语来区份一个实体和另一个实体，而并不限制这些实体之间的任何实际的关系和顺序。
上述本申请提供的实施例中，从终端设备(例如手机)作为执行主体的角度对本申请实施例提供的方法进行了介绍。为了实现上述本申请实施例提供的方法中的各功能，终端设备可以包括硬件结构和/或软件模块，以硬件结构、软件模块、或硬件结构加软件模块的形式来实现上述各功能。上述各功能中的某个功能以硬件结构、软件模块、还是硬件结构加软件模块的方式来执行，取决于技术方案的特定应用和设计约束条件。
在上述实施例中，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行所述计算机程序指令时，全部或部分地产生按照本发明实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质，(例如，软盘、硬盘、磁带)、光介质(例如，DVD)、或者半导体介质(例如固态硬盘Solid State Disk(SSD))等。在不冲突的情况下，以上各实施例的方案 都可以组合使用。
需要指出的是，本专利申请文件的一部分包含受著作权保护的内容。除了对专利局的专利文件或记录的专利文档内容制作副本以外，著作权人保留著作权。

Claims (30)

  1. 一种小区选择方法，其特征在于，包括：
    终端设备检测到多个小区；
    所述终端设备获取N个小区中每个小区的历史体验质量QoE，所述N个小区是所述多个小区中的全部或部分小区；N为正整数；所述历史QoE用于表征所述终端设备历史上在所述每个小区内时的网络使用体验；
    所述终端设备基于所述历史QoE，在所述多个小区中选择第一小区；
    所述终端设备驻留在所述第一小区。
  2. 如权利要求1所述的方法，其特征在于，所述方法还包括：
    所述N个小区是所述多个小区的全部小区，所述终端设备获取所述N个小区中每个小区的第一测量结果，所述第一测量结果包括参考信号接收功率RSRP和/或参考信号接收质量RSRQ；
    所述终端设备基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；其中，所述第一小区是所述N个小区中第二测量结果最高的小区或第二测量结果大于阈值的小区。
  3. 如权利要求1所述的方法，其特征在于，所述方法还包括：
    所述N个小区是所述多个小区中的部分小区，所述终端设备获取所述多个小区中每个小区的第一测量结果，所述第一测量结果包括RSRP和/或RSRQ；
    所述终端设备基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；所述第一小区是所述N个小区的第二测量结果与剩余小区的第一测量结果中测量结果最高或测量结果大于阈值的小区；其中，所述剩余小区为所述多个小区中除去所述N个小区之外的剩余小区。
  4. 如权利要求2或3所述的方法，其特征在于，所述终端设备基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果，包括：
    确定所述N个小区中每个小区的历史QoE的评估结果，所述评估结果表征所述终端设备历史上连接所述N个小区中每个小区时基于该小区的网络使用体验对小区的网络性能的评估；
    基于所述评估结果对每个小区的第一测量结果抑制或增强，得到所述第二测量结果。
  5. 如权利要求4所述的方法，其特征在于，基于所述评估结果对每个小区的第一测量结果抑制或增强，得到所述第二测量结果，包括：
    确定所述评估结果对应的抑制强度或增强强度；
    基于所述抑制强度或增强强度对每个小区的第一测量结果抑制或增强。
  6. 如权利要求3-5任一所述的方法，其特征在于，所述方法还包括：
    所述终端设备判断所述第一小区是否存在历史QoE的评估结果，如果不存在，对所述第一小区的网络性能进行评估得到评估结果；
    如果所述评估结果满足条件，所述终端设备继续驻留在所述第一小区；
    如果所述评估结果不满足条件，取消对所述N个小区的第一测量结果的抑制；
    基于所述N个小区的第一测量结果和所述剩余小区的第三测量结果选择第二小区，所述终端设备的服务小区从所述第一小区改变为所述第二小区。
  7. 如权利要求6所述的方法，其特征在于，所述评估结果满足条件，包括：
    所述评估结果指示所述第一小区的网络性能为流畅；或者，
    所述评估结果指示在预设时长内所述第一小区的网络性能是流畅的次数大于预设次数；或者，
    所述评估结果指示所述第一小区的网络性能是流畅的时长大预设时长；或者，
    所述评估结果指示所述第一小区的网络性能高于在所述多个邻区的网络性能；或者，
    所述评估结果指示所述第一小区的网络性能高于阈值。
  8. 如权利要求4-7任一所述的方法，其特征在于，历史QoE的评估结果越高，对小区的抑制强度越低，或者，对小区的增强强度越大。
  9. 如权利要求1-8任一所述的方法，其特征在于，所述终端设备获取N个小区中每个小区的历史体验质量QoE，包括：
    所述终端设备中的应用处理器获取所述N个小区中每个小区的历史QoE；
    其中，所述每个小区的历史QoE为所述终端设备历史上连接所述每个小区之后基于该小区的网络使用体验对小区的网络性能的评估。
  10. 如权利要求9所述的方法，其特征在于，所述终端设备基于所述历史QoE，在所述多个小区中选择第一小区，包括：
    所述应用处理器将所述N个小区中每个小区的历史QoE发送给所述终端设备中的调制解调器modem；以通过所述modem基于所述历史QoE，在所述多个小区中选择第一小区。
  11. 如权利要求8或9所述的方法，其特征在于，所述N个小区是所述多个小区的全部小区，所述modem还用于:获取所述N个小区中每个小区的第一测量结果，所述第一测量结果包括RSRP和/或RSRQ；基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；
    所述modem基于所述历史QoE，在所述多个小区中选择第一小区，包括：
    确定所述N个小区中第二测量结果最高的小区或第二测量结果大于阈值的小区为所述第一小区。
  12. 如权利要求8或9所述的方法，其特征在于，所述N个小区是所述多个小区中的部分小区，所述modem还用于:获取所述多个小区中每个小区的第一测量结果，所述第一测量结果包括RSRP和/或RSRQ；基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；
    所述modem基于所述历史QoE，在所述多个小区中选择第一小区，包括：
    确定所述N个小区的第二测量结果与剩余小区的第一测量结果中测量结果最高或测量结果大于阈值的小区为所述第一小区；其中，所述剩余小区为所述多个小区中除去所述N个小区之外剩余小区。
  13. 如权利要求1所述的方法，其特征在于，
    所述第一小区是所述N个小区中历史QoE最好的小区；或者，
    所述第一小区是所述N个小区在第一时间段内历史QoE最好的小区，所述第一时间段包括所述终端设备的当前时间点；或者，
    所述第一小区是所述N个小区在第二时间段内历史QoE最好的小区，所述第二时间段是所述终端设备当前时间点之后的时间段，所述第二时间段的起始时间与所述当前时间 点之间的时间差小于阈值。
  14. 如权利要求13所述的方法，其特征在于，所述历史QoE包括:历史流畅率和/或历史卡顿率；所述历史QoE最好的小区为历史流畅率最高和/或历史卡顿率最低的小区；其中，历史流畅率为所述终端设备历史上连接上小区时发生网络流畅的概率；所述历史卡顿率为所述终端设备历史上连接上小区时发生网络卡顿的概率；
    或者，
    所述历史QoE包括:历史QoE评估结果，所述历史QoE最好的小区为历史QoE评估结果最高的小区或历史QoE评估结果高于阈值的小区，所述历史QoE评估结果为所述终端设备历史上连接小区之后基于该小区的网络使用体验对小区的网络性能的评估。
  15. 如权利要求1-14任一所述的方法，其特征在于，所述终端设备检测到所述多个小区的地点为第一地点；
    所述终端设备基于所述历史QoE，在所述多个小区中选择第一小区之后，还包括：
    控制所述终端设备切换为默认模式；所述默认模式下所述终端设备基于小区的第一测量结果选择目标小区，所述第一测量结果包括RSRQ和/或RSRP；
    当所述终端设备再次到达所述第一地点时，所述终端设备以所述默认模式选择第三小区；所述第三小区与所述第一小区不同。
  16. 如权利要求15所述的方法，其特征在于，所述第三小区与所述第一小区不同，包括：所述第一小区的RSRQ和/或RSRP低于所述第三小区，所述第一小区的QoE高于所述第三小区。
  17. 如权利要求1-16任一所述的方法，其特征在于，所述终端设备获取所述多个小区中N个小区的历史QoE之前，所述方法还包括:
    确定服务小区的信号强度低于阈值；或者，
    检测到位置发生变化和/或位移变化量大于预设值；或者，
    检测到进入预设场景，所述多个小区为所述预设场景对应的小区；或者，
    确定当前时间达到特定时间。
  18. 如权利要求1-17任一所述的方法，其特征在于，所述终端设备中存储有场景、时间段、小区以及小区的历史QoE之间的对应关系，所述N个小区为所述对应关系中与当前时间段、当前场景匹配的小区；
    所述终端设备基于历史QoE，在所述多个小区中选择第一小区之前，还包括：确定所述N个小区的历史QoE统计次数大于预设次数；或者，确定所述N个小区的历史QoE的统计累计天数大于预设天数。
  19. 如权利要求4所述的方法，其特征在于，所述历史QoE的评估结果满足：
    Figure PCTCN2021090748-appb-100001
    其中，i为小区的第i个性能标签，N为性能标签的总数，Xi为第i个性能标签的发生概率，Yi为第i个性能标签对应的权重，其中，所有性能标签对应的权重之和为1；其中，所述性能标签为所述终端设备为小区的网络性能所划分的等级。
  20. 如权利要求1-19任一所述的方法，其特征在于，所述第一小区与第四小区不同，所述第四小区是第五小区的多个邻区中RSRP和/或RSRQ最强的小区，所述第五小区是所述终端设备连接所述第一小区之前的服务小区。
  21. 一种终端设备，其特征在于，包括：应用处理器AP和调制解调器modem；
    所述modem，用于检测多个小区；
    所述AP，用于获取N个小区中每个小区的历史体验质量QoE并将所述历史QoE发送给所述modern，所述N个小区是所述多个小区中的全部或部分小区；N为正整数；所述历史QoE用于表征所述终端设备历史上在所述每个小区内时的网络使用体验；
    所述modem，还用于基于所述历史QoE，在所述多个小区中选择第一小区；
    所述modem，还用于连接所述第一小区。
  22. 如权利要求21所述的终端设备，其特征在于，所述N个小区是所述多个小区的全部小区，所述modem还用于：获取所述N个小区中每个小区的第一测量结果，所述第一测量结果包括参考信号接收功率RSRP和/或参考信号接收质量RSRQ；基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；
    所述modem在用于基于所述历史QoE，在所述多个小区中选择第一小区时，具体用于：确定所述N个小区中第二测量结果最高的小区或第二测量结果大于阈值的小区为所述第一小区。
  23. 如权利要求21所述的终端设备，其特征在于，所述N个小区是所述多个小区中的部分小区，所述modem还用于：获取所述多个小区中每个小区的第一测量结果，所述第一测量结果包括RSRP和/或RSRQ；基于所述N个小区中每个小区的历史QoE对每个小区的第一测量结果抑制或增强，得到第二测量结果；
    所述modem在用于基于所述历史QoE，在所述多个小区中选择第一小区时，具体用于：确定所述N个小区的第二测量结果与剩余小区的第一测量结果中测量结果最高或测量结果大于阈值的小区为所述第一小区；其中，所述剩余小区为所述多个小区中除去所述N个小区之外的剩余小区。
  24. 如权利要求22或23所述的终端设备，其特征在于，所述AP在用于获取N个小区中每个小区的历史体验质量QoE时，具体用于：
    确定所述N个小区中每个小区的历史QoE的评估结果，所述评估结果为所述终端设备历史上连接所述N个小区中每个小区之后基于该小区的网络使用体验对小区的网络性能的评估；
    所述modem具体用于：基于所述评估结果对每个小区的第一测量结果抑制或增强，得到所述第二测量结果。
  25. 如权利要求24所述的终端设备，其特征在于，所述modem具体用于：
    确定所述评估结果确定对应的抑制强度或增强强度；
    基于所述抑制强度或增强强度对所述每个小区的第一测量结果抑制或增强。
  26. 如权利要求21-22任一所述的终端设备，其特征在于，所述AP还用于：
    判断所述第一小区是否存在历史QoE的评估结果，如果不存在，对所述第一小区的网络性能进行评估得到评估结果；
    如果所述评估结果满足条件，通知所述modem继续驻留在所述第一小区；
    如果所述评估结果不满足条件，通知所述modem取消对所述N个小区的第一测量结果的抑制；以使所述modem基于所述N个小区的第一测量结果和所述剩余小区的第三测量结果选择第二小区，从所述第一小区切换到所述第二小区。
  27. 如权利要求26所述的终端设备，其特征在于，所述评估结果满足条件，包括：
    所述评估结果指示所述第一小区的网络性能为流畅；或者，
    所述评估结果指示在预设时长内所述第一小区的网络性能是流畅的次数大于预设次数；或者，
    所述评估结果指示所述第一小区的网络性能是流畅的时长大预设时长；或者，
    所述评估结果指示所述第一小区的网络性能高于在所述多个邻区的网络性能；或者，
    所述评估结果指示所述第一小区的网络性能高于阈值。
  28. 一种计算机可读存储介质，包括指令，其特征在于，当所述指令在电子设备上运行时，使得所述电子设备执行如权利要求1-20任一项所述的方法。
  29. 一种芯片，其特征在于，所述芯片与电子设备中的存储器耦合，用于调用存储器中存储的计算机程序以执行如权利要求1-20任一项所述的方法。
  30. 一种终端设备，其特征在于，包括：至少一个处理器，所述至少一个处理器与存储器耦合，所述至少一个处理器用于运行存储器中存储的指令以执行如权利要求1～20任一项所述的方法。
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