CN113676966B

CN113676966B - Cell selection method and terminal equipment

Info

Publication number: CN113676966B
Application number: CN202010873837.2A
Authority: CN
Inventors: 窦凤辉; 杜旭阳; 杨锐; 金辉
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2020-05-14
Filing date: 2020-08-26
Publication date: 2023-07-18
Anticipated expiration: 2040-08-26
Also published as: CN113676966A

Abstract

The embodiment of the application provides a cell selection method and terminal equipment. The method may be applicable to related fields of artificial intelligence (artificial intelligence, AI), machine learning, etc. The method comprises the following steps: the terminal equipment detects a plurality of cells; the terminal equipment acquires historical quality of experience QoE of each of N cells, wherein 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 historically when in each cell; the terminal equipment selects a first cell from the cells based on the historical QoE; the terminal device resides in a first cell. By the mode, the terminal equipment can be accessed to the cell with better quality of experience QoE, and network use experience is improved.

Description

Cell selection method and terminal equipment

The present application claims priority from chinese patent application entitled "a method and apparatus for cell selection" filed in the intellectual property office of the people's republic of China, application number 202010405414.8, 14, 5 and 14, 2020, the entire contents of which are incorporated herein by reference.

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a cell selection method and a terminal device.

Background

Terminal devices such as mobile phones, tablet computers and the like become important tools for daily life, entertainment, office work and the like of users. For example, the terminal device has a surfing function, and a user can browse a web page, watch an online video, and the like.

However, in some situations, the internet surfing experience of the terminal device is not good, for example, in a home, the terminal device of the user accesses the cell a, but the number of terminal devices accessing the cell a in a peak period (for example, 8 to 10 pm) is large, so that the terminal device is blocked, even if the internet surfing cannot be achieved, and the user experience is affected.

Disclosure of Invention

The invention aims to provide a cell selection method and terminal equipment, which are used for improving the Internet surfing experience of the terminal equipment.

In a first aspect, a cell selection method is provided, which may be applied to a terminal device, where the terminal device includes a mobile phone, a tablet computer, and so on. The method comprises the following steps: the terminal equipment detects a plurality of cells; the terminal equipment acquires historical quality of experience QoE of each of N cells, wherein 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 historically when in each cell; the terminal equipment selects a first cell from the cells based on the historical QoE; the terminal equipment is connected with the first cell.

In the embodiment of the application, when the terminal equipment selects the cell, the cell is selected based on the historical QoE of the cell, which is different from the cell is selected based on the direct measurement result (namely the following first measurement result) of the cell in the prior art, and the cell selection method provided by the application can avoid accessing to the cell with poor network (such as network blocking) and improve the Internet surfing experience of the terminal equipment.

In one possible design, the method further comprises: the N cells are all cells of the plurality of cells, and the terminal equipment obtains a first measurement result of each cell of the N cells, wherein the first measurement result comprises Reference Signal Received Power (RSRP) and/or Reference Signal Received Quality (RSRQ); the terminal equipment suppresses or enhances the first measurement result of each cell based on the historical QoE of each cell in the N cells to obtain a second measurement result; the first cell is a cell with the highest second measurement result or a cell with the second measurement result larger than a threshold value in the N cells.

The first measurement result refers to a direct measurement result of a cell, which is a measurement result that is not suppressed or enhanced, and the second measurement result is not a direct measurement result, which is a measurement result after suppression or enhancement.

In this embodiment of the present application, after the terminal device detects a plurality of cells, the terminal device may store historical QoE of all or part of the cells in the plurality of cells. Assuming that QoE of all cells is acquired, the terminal device suppresses or enhances the first measurement result of each cell based on QoE of each cell, and selects a cell based on the suppressed or enhanced measurement result. Different from the prior art that the cell is selected based on the first measurement result of the cell, the cell selection method provided by the application can avoid accessing to the cell with poor network (such as network blocking) and improve the Internet surfing experience of the terminal equipment.

In one possible design, the method further comprises: the N cells are part of the cells, and the terminal equipment acquires a first measurement result of each cell in the cells, wherein the first measurement result comprises RSRP and/or RSRQ; the terminal equipment suppresses or enhances the first measurement result of each cell based on the historical QoE of each cell in the N cells to obtain a second measurement result; the first cell is the cell with the highest measurement result or the measurement result larger than a threshold value in the second measurement results of the N cells and the first measurement results of the rest cells; and the remaining cells are the remaining cells except the N cells in the cells.

In this embodiment of the present application, after the terminal device detects a plurality of cells, the terminal device may store historical QoE of all or part of the cells in the plurality of cells. Assuming that only the QoE of a part of cells is stored, for example, three cells, cell a to cell C, where cell a and cell C have QoE and cell B does not have QoE, in this case, the terminal device may suppress or enhance the first measurement result of cell a based on the QoE of cell a, suppress or enhance the first measurement result of cell C based on the QoE of cell C, that is, the terminal device may obtain the second measurement result of cell a and the second measurement result of cell C, and also obtain the first measurement result of cell B, and at this time, determine the cell access with the highest measurement result based on the second measurement result of cell a, the second measurement result of cell C, and the ordering result of the first measurement result of cell B. Different from the prior art that the cell is selected based on the first measurement result of the cell, the cell selection method provided by the application can avoid accessing to the cell with poor network (such as network blocking) and improve the Internet surfing experience of the terminal equipment.

In one possible design, the suppressing or enhancing, by the terminal device, the first measurement result of each cell based on the historical QoE of each cell in the N cells, to obtain a second measurement result includes: based on the evaluation result of the historical QoE of each of the N cells, the evaluation result is an evaluation of the network performance of the cell based on the network usage experience of each of the N cells after the terminal device is historically connected to the cell; and suppressing or enhancing the first measurement result of each cell based on the evaluation result to obtain the second measurement result.

In the embodiment of the present application, when the terminal device selects a cell, the terminal device selects the cell based on the historical QoE of the cell, specifically, suppresses or enhances the first measurement result of the cell to obtain the second measurement result based on the scoring result of the historical QoE of the cell, and selects the cell based on the second measurement result. Different from the prior art that the cell is selected based on the first measurement result of the cell, the cell selection method provided by the application can avoid accessing to the cell with poor network (such as network blocking) and improve the Internet surfing experience of the terminal equipment.

In one possible design, suppressing or enhancing the first measurement result of each cell based on the evaluation result of each cell of the N cells, to obtain the second measurement result includes:

determining the corresponding inhibition intensity or enhancement intensity according to the evaluation result;

the first measurement result of each cell is suppressed or enhanced based on the suppression strength or enhancement strength.

In the embodiment of the present application, when the terminal device selects a cell, the terminal device selects the cell based on the historical QoE of the cell, specifically, determines a corresponding suppression or enhancement level based on the scoring result of the historical QoE of the cell, and is used for suppressing or enhancing the first measurement result of the cell to obtain a second measurement result, and selects the cell based on the second measurement result. Different from the prior art that the cell is selected based on the first measurement result of the cell, the cell selection method provided by the application can avoid accessing to the cell with poor network (such as network blocking) and improve the Internet surfing experience of the terminal equipment.

In one possible design, the method further comprises: the terminal equipment judges whether the first cell has a historical QoE evaluation result, and evaluates the network performance of the first cell to obtain an evaluation result if the first cell does not have the historical QoE evaluation result; if the evaluation result meets the condition, the terminal equipment continues to reside in the first cell; if the evaluation result does not meet the condition, canceling the inhibition of the first measurement results of the N cells; and selecting a second cell based on the first measurement results of the N cells and the third measurement results of the rest cells, and switching from the first cell to the second cell.

Continuing with the previous example, the terminal device detects cell a, cell B, and cell C, where the terminal device may have stored therein a historical QoE for all or part of the plurality of cells. If only the QoE of a part of the cells is stored, the terminal device may select to the first cell without the historical QoE. Therefore, in the embodiment of the present application, the terminal device may further determine whether the first cell has an evaluation result of the historical QoE, and if not, evaluate the network performance of the first cell to obtain an evaluation result; if the evaluation result meets the condition, the network performance of the first cell is better, and the first cell can be continuously resided in the first cell; otherwise, the network performance of the first cell is poor, and at this time, suppression of the first measurement results of the N cells may be canceled, and the cell may be reselected (e.g., the cell is selected based on the first measurement results of the cells).

In one possible design, the evaluation result satisfies a condition, including:

the evaluation result indicates that the network performance of the first cell is smooth; or alternatively, the process may be performed,

the evaluation result indicates that the number of times that the network performance of the first cell is smooth within a preset duration is greater than a preset number of times; or alternatively, the process may be performed,

the evaluation result indicates that the network performance of the first cell is smooth for a longer preset time period; or alternatively, the process may be performed,

the evaluation result indicates that the network performance of the first cell is higher than the network performance of the plurality of adjacent cells; or alternatively, the process may be performed,

the evaluation indicates that the network performance of the first cell is above a threshold.

That is, if the first cell does not have the historical QoE, the terminal device may quickly evaluate the network performance of the first cell to obtain an evaluation result, if the evaluation result indicates that the network performance of the first cell is smooth, the time period of the smooth is longer than the preset time period, the number of times of the smooth is greater than the preset number of times, or the network performance of the first cell is higher than the network performance of other surrounding cells, the terminal device continues to reside in the first cell, otherwise, the terminal device switches to other cells with higher network performance. Therefore, in this way, the terminal device can access to the cell with better network performance in the cell switching process.

In one possible design, the higher the evaluation result of the historical QoE, the lower the suppression strength to the cell, or the greater the enhancement strength to the cell.

For example, 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 that of cell B; the probability that the measurement result after the cell a is restrained is larger than that after the cell B is restrained is larger, and the probability that the terminal equipment is accessed into the cell a is high. Or the enhancement intensity of the cell A is higher than that of the cell B, so that the probability that the measurement result after the enhancement of the cell A is larger than that after the enhancement of the cell B is larger, and the probability that the terminal equipment is accessed into the cell A is high. In this way, the terminal device can select the cell access with better QoE, and the network use experience is improved.

In one possible design, the terminal device obtains a historical quality of experience QoE for each of the N cells, including: an application processor in the terminal equipment acquires historical QoE of each cell in the N cells; wherein the historical QoE of each cell is an evaluation of network performance of the cell based on the network usage experience of the cell after the terminal device historically connects to the each cell.

In the embodiment of the present application, the determining procedure of the historical QoE of the cell may be performed by an application processor in the terminal device.

In one possible design, the terminal device selects a first cell among the plurality of cells based on the historical QoE, including: the application processor sends the historical QoE of each cell in the N cells to a modem in the terminal equipment; to select, by the modem, a first cell among the plurality of cells based on the historical QoE.

In the embodiment of the present application, the determining procedure of the historical QoE of the cell may be performed by an application processor in the terminal device. The application processor sends the historical QoE of the cell to the modem, which selects the cell based on the historical QoE.

In one possible design, the N cells are all of the plurality of cells, and the modem is further configured to obtain a first measurement result for each of the N cells, the first measurement result including RSRP and/or RSRQ; suppressing or enhancing the first measurement result of each cell based on the historical QoE of each cell in the N cells to obtain a second measurement result; the modem selects a first cell among the plurality of cells based on the historical QoE, including: and determining the cell with the highest second measurement result or the cell with the second measurement result larger than a threshold value in the N cells as the first cell.

In the embodiment of the application, the process of cell measurement of the terminal equipment, suppression or enhancement of the measurement result and cell selection based on the measurement result after the suppression or enhancement is performed by the modem.

In one possible design, the N cells are part of the plurality of cells, and the modem is further configured to obtain a first measurement result for each of the plurality of cells, the first measurement result including RSRP and/or RSRQ; suppressing or enhancing the first measurement result of each cell based on the historical QoE of each cell in the N cells to obtain a second measurement result; the modem selects a first cell among the plurality of cells based on the historical QoE, including: determining a cell with the highest measurement result or the measurement result larger than a threshold value in the second measurement results of the N cells and the first measurement results of the rest cells as the first cell; and the remaining cells are the remaining cells except the N cells in the cells.

In one possible design, the first cell is the cell of the plurality of cells having the best historical QoE; in the method, the measurement results of the cells are not required to be inhibited or enhanced based on the historical QoE, and the cells are directly selected based on the historical QoE, for example, the cell with the best historical QoE is selected, so that the method is simpler and higher in efficiency.

Or, the first cell is a cell with the best historical QoE of the plurality of cells in a first time period, wherein the first time period comprises a current time point of the terminal equipment; 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.

Or, the first cell is a cell with the best historical QoE of the plurality of cells in a second time period, wherein the second time period is a time period after the current time point of the terminal equipment, and the time difference between the starting time of the second time period and the current time point is smaller than a threshold value. Assuming that the current time is 8:59, the terminal device can determine the cell with the best historical QoE in the time period of 9:00-10:00, so that the effect of early prediction can be achieved to a certain extent, and the user experience is high.

In one possible design, the historical QoE includes a historical fluency rate and/or a historical click through rate; the cell with the best historical QoE is the cell with the highest historical fluency rate and/or the cell with the lowest historical cartoon rate; the historical fluency rate is the probability of network fluency when the terminal equipment is historically connected with the cell; the historical jamming rate is the probability of network jamming when the terminal equipment is historically connected with an upper cell.

That is, the terminal device selects a cell with a higher history fluency rate or a lower history click-through rate; the probability of network jamming in the cell with higher historical fluency or the cell with lower historical jamming rate is lower, so that the network use experience of the terminal equipment is improved.

Or the historical QoE comprises a historical QoE scoring result, wherein the historical QoE scoring result is a scoring on the network performance of a cell based on the network use experience of the cell after the terminal equipment is connected with the cell historically, and the cell with the best historical QoE is the cell with the highest historical QoE scoring result or the cell with the highest historical QoE scoring result is higher than a threshold value.

That is, the terminal device may score the network performance of the historically accessed cell, obtain a QoE score, and select a cell based on the QoE score. The higher the scoring result is, the better the network using experience of the cell is, so that the terminal equipment can select the cell with higher QoE scoring result, avoid switching to the cell with worse network, and improve the network using experience.

In one possible design, the terminal device detects the location of the plurality of cells as a first location; the terminal device, after selecting a first cell from the plurality of cells based on the historical QoE, further includes: controlling the terminal equipment to switch to a default mode; the terminal equipment selects a target cell based on a first measurement result of the cell in the default mode, wherein the first measurement result comprises RSRQ and/or RSRP; when the terminal equipment arrives at the first place again, the terminal equipment selects a third cell in the default mode; the third cell is different from the first cell.

In this embodiment of the present application, the terminal device may have two cell selection modes, such as a first mode (i.e. a default mode) and a second mode, where the default mode refers to a mode in which the terminal device selects a cell based on the first measurement result in the prior art, and the second mode is a mode in which the terminal device selects a cell based on the historical QoE of the cell provided in this embodiment of the present application. In the same place, the cells selected by the terminal equipment based on the first mode and the second mode are different, and the network experience of the cells selected by the mode provided by the application, namely the second mode is better.

In one possible design, the third cell is different from the first cell, including: the RSRQ and/or RSRP of the first cell is lower than the third cell, and the QoE of the first cell is higher than the third cell.

As described above, at the same place, the terminal device selects a cell based on the first mode (default mode) and the second mode differently. For example, at the same place, the terminal device selects a cell a based on the first mode, selects a cell B based on the second mode, wherein RSRQ and/or RSRP of the cell a are higher than those of the cell B, qoE of the cell a is lower than those of the cell B, and network experience of the cell selected by the mode provided by the application, namely the second mode is better.

In one possible design, before the terminal device obtains the historical QoE for N cells in the plurality of cells, the method further includes determining that the signal strength of the serving cell is below a threshold; or alternatively, the process may be performed,

detecting that the position changes and/or the displacement change amount is larger than a preset value; or alternatively, the process may be performed,

detecting that a preset scene is entered, wherein the cells are cells corresponding to the preset scene; or alternatively, the process may be performed,

it is determined that the current time reaches a specific time.

In the embodiment of the application, when the terminal equipment meets a certain triggering condition, the historical QoE of the cell is obtained, and the cell is selected based on the historical QoE. The triggering conditions are as follows: the signal intensity of the current serving cell of the terminal equipment is lower than a threshold value; or detecting that the position changes and/or the displacement change amount is larger than a preset value; or detecting to enter a preset scene; alternatively, it is determined that the current time reaches a specific time, such as an integer point of 8:00 or 9:00, etc. That is, under the condition that the triggering condition is not detected, the cell selection mechanism provided by the application does not need to be executed, power consumption is saved, and under the condition that the triggering condition is detected, the cell is selected based on the cell selection mechanism provided by the application, so that the cell with better network experience is accessed.

In one possible design, the corresponding relation among the scene, the time period, the cells and the historical QoE of the cells is stored in the terminal equipment, and the N cells are the cells matched with the current time period and the current scene in the corresponding relation; the terminal device, based on the historical QoE, further includes, before selecting a first cell from the plurality of cells: determining that the historical QoE statistics times of the N cells are larger than preset times; or determining that the statistical accumulated days of the historical QoE of the N cells are greater than a preset number of days.

In the embodiment of the application, after the terminal equipment enters a scene (such as a home or a company), a plurality of cells matched with the scene and the current time period are determined, and whether the historical QoE statistics times or the accumulated days of the matched cells are enough or not can be judged so as to ensure the accuracy of cell selection.

In one possible design, the historical QoE score satisfies:

wherein i is the ith performance label of the cell, N is the total number of the performance labels, xi is the occurrence probability of the ith performance label, yi is the weight corresponding to the ith performance label, and the sum of the weights corresponding to all the performance labels is 1; wherein the performance label is a grade of the terminal equipment divided by the network performance of the cell.

In the embodiment of the present application, the QoE score of a cell is determined based on a plurality of performance labels, each performance label represents a level of network performance of the cell, and if the level is more detailed, the more the number of performance labels, the more accurate the historical QoE score is finally calculated, and the more accurate the cell is selected based on the historical QoE.

In one possible design, the first cell and the fourth cell are not necessarily the same, and the fourth cell is a cell with the strongest RSRP and/or RSRQ among a plurality of neighbor cells of a fifth cell, where the fifth cell is a serving cell before the terminal device connects to the first cell.

The cell selected by the cell selection method provided by the embodiment of the invention is not necessarily the cell with the strongest RSRP and/or RSRQ, but selects a proper cell based on the historical QoE, so that the cell with better network performance can be selected for access, and the network use experience of the terminal equipment is improved.

In a second aspect, there is also provided a terminal device, including: an application processor AP and a modem;

the modem is used for detecting a plurality of cells;

the AP is configured to obtain a historical quality of experience QoE of each of N cells, where the N cells are all or part of the plurality of cells; n is a positive integer; the historical QoE is used to characterize the network usage experience of the terminal device historically when in each cell;

The modem is further configured to select a first cell from the plurality of cells based on the historical QoE;

the modem is further configured to connect to the first cell.

In one possible design, the N cells are all of the plurality of cells, and the modem is further configured to: acquiring a first measurement result of each cell in the N cells, wherein the first measurement result comprises Reference Signal Received Power (RSRP) and/or Reference Signal Received Quality (RSRQ); suppressing or enhancing the first measurement result of each cell based on the historical QoE of each cell in the N cells to obtain a second measurement result; the modem is configured to, when selecting a first cell from the plurality of cells based on the historical QoE, specifically: and determining the cell with the highest second measurement result or the cell with the second measurement result larger than a threshold value in the N cells as the first cell.

In one possible design, the N cells are part of the plurality of cells, and the modem is further configured to: acquiring a first measurement result of each cell in the plurality of cells, wherein the first measurement result comprises RSRP and/or RSRQ; suppressing or enhancing the first measurement result of each cell based on the historical QoE of each cell in the N cells to obtain a second measurement result; the modem is configured to, when selecting a first cell from the plurality of cells based on the historical QoE, specifically: determining a cell with the highest measurement result or the measurement result larger than a threshold value in the second measurement results of the N cells and the first measurement results of the rest cells as the first cell; and the remaining cells are the remaining cells except the N cells in the cells.

In one possible design, the AP, when used to obtain the historical quality of experience QoE for each of the N cells, is specifically configured to:

determining an evaluation result of historical QoE of each of the N cells, the evaluation result being an evaluation of network performance of the cell based on network usage experience of each of the N cells after the terminal device is historically connected to the cell;

the modem is specifically used for: and suppressing or enhancing the first measurement result of each cell based on the evaluation result to obtain the second measurement result.

In one possible design, the modem is specifically used for:

In one possible design, the AP is further configured to: judging whether the first cell has a historical QoE evaluation result, and if not, evaluating the network performance of the first cell to obtain an evaluation result;

if the evaluation result meets the condition, notifying the modem to stay in the first cell;

notifying the modem to cancel suppression of the first measurement results of the N cells if the evaluation results do not meet the conditions; and enabling the modem to select a second cell based on the first measurement results of the N cells and the third measurement results of the rest cells, and switching from the first cell to the second cell.

In one possible design, the evaluation result satisfies a condition, including:

In a third aspect, there is provided a terminal device comprising:

one or more processors;

a memory;

and one or more computer programs, wherein the one or more computer programs are stored in the memory, the one or more computer programs comprising instructions that, when executed by the electronic device, cause the electronic device to perform the method as provided in the first aspect above.

In a fourth aspect, there is provided an electronic device comprising: a processing unit and a communication unit;

a communication unit configured to detect a plurality of cells;

A processing unit, configured to obtain a historical quality of experience QoE for each of N cells, where the N cells are all or part of the plurality of cells; n is a positive integer; the historical QoE is used to characterize the network usage experience of the terminal device historically when in each cell;

a processing unit or a communication unit for selecting a first cell among the plurality of cells based on the historical QoE;

and the communication unit is also used for connecting the first cell.

In one possible design, the processing unit is further configured to, in a case where the N cells are all cells of the plurality of cells: acquiring a first measurement result of each cell in the N cells, wherein the first measurement result comprises Reference Signal Received Power (RSRP) and/or Reference Signal Received Quality (RSRQ);

the communication unit is further configured to: suppressing or enhancing the first measurement result of each cell based on the historical QoE of each cell in the N cells to obtain a second measurement result; the first cell is a cell with the highest second measurement result or a cell with the second measurement result larger than a threshold value in the N cells.

In one possible design, in the case that the N cells are part of the plurality of cells, the communication unit is further configured to: acquiring a first measurement result of each cell in the plurality of cells, wherein the first measurement result comprises RSRP and/or RSRQ; suppressing or enhancing the first measurement result of each cell based on the historical QoE of each cell in the N cells to obtain a second measurement result; the first cell is the cell with the highest measurement result or the measurement result larger than a threshold value in the second measurement results of the N cells and the first measurement results of the rest cells; and the remaining cells are the remaining cells except the N cells in the cells.

In one possible design, the communication unit is specifically configured to: determining an evaluation result of the historical QoE of each of the N cells, the evaluation result characterizing an evaluation of network performance of a cell based on the network usage experience of that cell when the terminal device is historically connected to each of the N cells; and suppressing or enhancing the first measurement result of each cell based on the evaluation result to obtain the second measurement result.

In one possible design, the communication unit is specifically configured to: determining the inhibition intensity or the enhancement intensity corresponding to the evaluation result; the first measurement result of each cell is suppressed or enhanced based on the suppression strength or enhancement strength.

In one possible design, the processing unit is further configured to: judging whether the first cell has a historical QoE evaluation result, and if not, evaluating the network performance of the first cell to obtain an evaluation result;

if the evaluation result meets the condition, the communication unit continues to reside 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; and selecting a second cell based on the first measurement results of the N cells and the third measurement results of the rest cells, and switching from the first cell to the second cell.

In one possible design, the evaluation result satisfies a condition, 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 that the network performance of the first cell is smooth within a preset duration is greater than a preset number of times; or the evaluation result indicates that the network performance of the first cell is smooth for a longer preset time period; alternatively, the evaluation result indicates that the network performance of the first cell is higher than the network performance in the plurality of neighbor cells; alternatively, the evaluation indicates that the network performance of the first cell is above a threshold.

In one possible design, the first cell is the cell with the best historical QoE among the N cells; or alternatively, the process may be performed,

the first cell is a cell with the best historical QoE of the N cells in a first time period, and the first time period comprises a current time point of the terminal equipment; or alternatively, the process may be performed,

the first cell is a cell with the best historical QoE of the N cells in a second time period, the second time period is a time period after the current time point of the terminal equipment, and the time difference between the starting time of the second time period and the current time point is smaller than a threshold value.

In one possible design, the historical QoE includes a historical fluency rate and/or a historical click through rate; the cell with the best historical QoE is the cell with the highest historical fluency rate and/or the cell with the lowest historical cartoon rate; the historical fluency rate is the probability of network fluency when the terminal equipment is historically connected with the cell; the historical jamming rate is the probability of network jamming when the terminal equipment is historically connected with an upper cell; or the historical QoE comprises a historical QoE evaluation result, wherein the cell with the best historical QoE is the cell with the highest historical QoE evaluation result or the cell with the historical QoE evaluation result higher than a threshold value, and the historical QoE evaluation result is the evaluation of the network performance of the cell based on the network use experience of the cell after the terminal equipment is connected with the cell in a historical manner.

In one possible design, the terminal device detects the location of the plurality of cells as a first location;

the processing unit is further configured to: controlling the terminal equipment to switch to a default mode; the terminal equipment selects a target cell based on a first measurement result of the cell in the default mode, wherein the first measurement result comprises RSRQ and/or RSRP;

When the terminal device arrives at the first place again, the communication unit selects a third cell in the default mode; the third cell is different from the first cell.

In a possible design, the processing unit is further configured to determine that the signal strength of the serving cell is below a threshold; or alternatively, the process may be performed,

it is determined that the current time reaches a specific time.

In one possible design, the corresponding relation among the scene, the time period, the cells and the historical QoE of the cells is stored in the terminal equipment, and the N cells are the cells matched with the current time period and the current scene in the corresponding relation;

the processing unit is further configured to: determining that the historical QoE statistics times of the N cells are larger than preset times; or determining that the statistical accumulated days of the historical QoE of the N cells are greater than a preset number of days.

In one possible design, the historical QoE evaluation results satisfy:

In a fifth aspect, there is also provided a chip coupled to a memory in an electronic device for invoking a computer program stored in the memory to perform the method as described in the first aspect above.

In a sixth aspect, there is also provided a computer readable storage medium comprising instructions which, when run on an electronic device, cause the electronic device to perform the method of the first aspect described above.

In a seventh aspect, there is also provided a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method as described in the first aspect above.

Advantageous effects of the second aspect to the seventh aspect described above refer to the advantageous effect description of the first aspect, and the description is not repeated here.

Drawings

Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present application;

FIG. 2 is a schematic diagram of a first algorithm mode according to one embodiment of the present application;

fig. 3 is a flow chart of a cell selection method according to an embodiment of the present application;

fig. 4 is a flowchart of another cell selection method according to an embodiment of the present application;

fig. 5 is a flowchart of another cell selection method according to an embodiment of the present application;

fig. 6 is a flowchart of another cell selection method according to an embodiment of the present application;

fig. 7 is a flowchart of another cell selection method according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of a terminal device according to an embodiment of the present application;

fig. 9 is a schematic diagram of a layered architecture of a terminal device according to an embodiment of the present application.

Detailed Description

Some terms in the embodiments of the present application will be explained below.

1) Terminal devices, including devices that provide voice and/or data connectivity to a user, specifically, devices that provide voice to a user, or devices that provide data connectivity to a user, or devices that provide voice and data connectivity to a user. For example, may include a handheld device having wireless connectivity, or a processing device connected to a wireless modem. The terminal device may communicate with the core network via a radio access network (radio access network, RAN), exchange voice or data with the RAN, or interact voice and data with the RAN. The terminal device may include a User Equipment (UE), a wireless terminal device, a mobile terminal device, a device-to-device (D2D) terminal device, a vehicle-to-device (V2X) terminal device, a machine-to-machine/machine-type communication (M2M/MTC) terminal device, an internet of things (internet of things, ioT) terminal device, a subscription unit (subscriber unit), a subscription station (subscriber station), a mobile station (mobile station), a remote station, an Access Point (AP), a remote terminal (remote terminal), an access terminal (access terminal), a user terminal (user terminal), a user agent (user agent), or a user equipment (user device), etc. For example, mobile telephones (or "cellular" telephones) computers with mobile terminal devices, portable, pocket, hand-held, computer-built mobile devices, and the like may be included. Such as personal communication services (personal communication service, PCS) phones, cordless phones, session initiation protocol (session initiation protocol, SIP) phones, wireless local loop (wireless local loop, WLL) stations, personal digital assistants (personal digital assistant, PDAs), and the like. But also limited devices such as devices with lower power consumption, or devices with limited memory capabilities, or devices with limited computing capabilities, etc. Examples include bar codes, radio frequency identification (radio frequency identification, RFID), sensors, global positioning systems (global positioning system, GPS), laser scanners, and other information sensing devices.

By way of example, and not limitation, in embodiments of the present application, the terminal device may also be a wearable device. The wearable device can also be called as a wearable intelligent device or an intelligent wearable device, and is a generic name for intelligently designing daily wear and developing wearable devices, such as glasses, gloves, watches, clothes, shoes, and the like, by applying wearable technology. The wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also can realize a powerful function through software support, data interaction and cloud interaction. The generalized wearable intelligent device includes full functionality, large size, and may not rely on the smart phone to implement complete or partial functionality, such as: smart watches or smart glasses, etc., and focus on only certain types of application functions, and need to be used in combination with other devices, such as smart phones, for example, various smart bracelets, smart helmets, smart jewelry, etc. for physical sign monitoring.

While the various terminal devices described above, if located on a vehicle (e.g., placed in a vehicle or mounted in a vehicle), may be considered as in-vehicle terminal devices, for example, also referred to as in-vehicle units (OBUs).

In the embodiment of the application, the terminal device may further include a relay (relay). Or it is understood that all that is capable of data communication with a base station can be seen as a terminal device.

In the embodiment of the present application, the device for implementing the function of the terminal device may be the terminal device, or may be a device capable of supporting the terminal device to implement the function, for example, a chip system, and the device may be installed in the terminal device. In the embodiment of the application, the chip system may be formed by a chip, and may also include a chip and other discrete devices. In the technical solution provided in the embodiments of the present application, the device for implementing the function of the terminal is a terminal device, which is described in the embodiments of the present application as an example.

2) A network device, for example comprising AN Access Network (AN) device, such as a base station (e.g. AN access point), may refer to a device in the access network that communicates over the air with a wireless terminal device through one or more cells, or a network device in a vehicle-to-infrastructure (V2X) technology, for example, is a Road Side Unit (RSU). The base station may be configured to inter-convert the received air frames with IP packets as a router between the terminal device and the rest of the access network, which may include an IP network. The RSU may be a fixed infrastructure entity supporting V2X applications, which may exchange messages with other entities supporting V2X applications. The network device may also coordinate attribute management for the air interface. For example, the network device may include an evolved base station (NodeB or eNB or e-NodeB, evolutional Node B) in an LTE system or advanced long term evolution (long term evolution-advanced, LTE-a), or may also include a next generation node B (next generation node B, gNB) in a fifth generation mobile communication technology (the 5th generation,5G) NR system (also simply referred to as NR system) or may also include a Centralized Unit (CU) and a Distributed Unit (DU) in a Cloud access network (Cloud radio access network, cloud RAN) system, which embodiments of the present application are not limited.

The network device may also comprise a core network device, which in the present embodiment comprises for example an access and mobility management function (access and mobility management function, AMF) or a user plane function (user plane function, UPF) etc. in a 5G system or a mobility management entity (mobility management entity, MME) etc. in a 4G system.

In the embodiment of the present application, the means for implementing the function of the network device may be the network device, or may be a means capable of supporting the network device to implement the function, for example, a chip system, and the apparatus may be installed in the network device. In the technical solution provided in the embodiments of the present application, the device for implementing the function of the network device is exemplified by the network device, and the technical solution provided in the embodiments of the present application is described.

3) Radio resource control (radio resource control, RRC), in LTE, supports two RRC states, namely an RRC IDLE state (rrc_idle), an RRC CONNECTED state (rrc_connected). In the NR, an RRC INACTIVE state (RRC_INACTIVE) is introduced, that is, three states are supported in the NR, namely, an RRC IDLE state (RRC_IDLE), an RRC INACTIVE state (RRC_INACTIVE), and an RRC CONNECTED state (RRC_CONNECTED), wherein the different RRC states can be switched.

4) Quality of experience (quality of experience, qoE), which may be understood simply as the internet experience when the user uses the terminal device, e.g. stuck, fluent, etc. QoE can be affected by various factors including, for example, the geographic location of the terminal device, the amount of access to the cell, channel quality, etc. Taking geographical location as an example, qoE may be poor, e.g. when the terminal device is in the edge region of the cell. Taking the access amount of a cell as an example, generally, the larger the access amount is, the worse the QoE is; the smaller the access volume, the better the QoE. The access amount refers to the total amount of terminal equipment accessing the cell, and the access amount is dynamically changed. Therefore, the QoE of the same cell in different time periods may be different, for example, the terminal device accesses to the cell a, the access amount is smaller in the off-peak period, the network is smoother, the access amount is larger in the peak period, and the network is blocked. Of course, qoE of different cells in the same time period is also different, for example, when the terminal device accesses to cell a in the same time period, the network is smoother, and when the terminal device accesses to cell B, the network is blocked; the network experience of cell B may be better because the access amount of cell a is more and the access amount of cell B is less during the period. The network blocking scene includes, for example: a user is blocked in the process of playing an online video (such as a movie) by using a video playing app in a terminal device; or, when the user browses a web page using the web page browsing app in the terminal device, web page content loading failure occurs or a long waiting time is required, and so on.

In some embodiments, qoE may also be referred to as a name of a business experience, a network experience, etc., and embodiments of the present application are not limited to this name.

5) The mobility management mechanism of the terminal specifically includes a mechanism proposed for ensuring that the terminal device has a continuous network service, and specifically includes a cell handover (handover) or a cell reselection (reselection). Cell handover refers to a handover of a terminal device in a connected state from a current cell to another cell through neighbor cell measurement. Cell reselection refers to a process in which a terminal device in an idle state or a non-active state provides network services by monitoring signals of a serving cell and neighbor cells to select a best cell.

The following briefly describes the cell reselection and cell handover procedures in the existing mechanisms.

1. Cell reselection

The process of the terminal device performing cell reselection may include: the network device sends a neighbor list to the terminal device, where the neighbor list includes information of one or more neighbors of the serving cell, such as frequencies of the neighbors, or frequencies and cell identifiers of the neighbors. Assuming that the terminal device resides in cell a, the neighbor list includes information of one or more neighbors of cell a, such as cell B and cell C. The terminal device measures the serving cell and the neighbor cells based on the neighbor cell list to obtain reference signal received power (reference signal receiving power, RSRP) and/or reference signal received quality (reference signal receiving quality, RSRQ) of the serving cell and the neighbor cells. Typically, the terminal device will select a cell with higher RSRP or RSRQ, e.g. if the RSRQ of cell B is larger than that of cell a and cell C, then the terminal device selects cell B for access. The cell reselection specified in the existing protocol mainly comprises the following steps:

Step (step) 1: and measuring the RSRP and the RSRQ of the serving cell and the neighbor cells.

Step2: an evaluation of the high priority cell is performed.

The network side configures the priority relation between different cells for the terminal equipment, and after the terminal equipment measures the RSRP and the RSRQ of the serving cell and the neighbor cells, the energy and the quality of the high-priority cell (the priority is higher than that of the serving cell) can be evaluated. Cell reselection is performed when conditions are met, the conditions comprising: the energy of the adjacent cell is larger than the energy threshold configured on the network side or the quality of the adjacent cell is larger than the quality threshold configured on the network side, and the reselection evaluation time is reached.

Step3: and performing equal priority cell evaluation.

The equal priority cell refers to a cell having the same priority as the serving cell. For a equal priority cell, cell reselection is performed when the terminal device detects that the following conditions are met, including: rn > Rs, and the evaluation time is reached, wherein Rs is the serving cell, rn is the neighbor cell, and Rn and Rs satisfy the following relationship:

wherein Q is _meas 、Qoffset、Qoffset _temp The meaning of (c) can be seen in table 1 below:

TABLE 1

Wherein Q is _meas,s Is the Q of the serving cell _meas ，Q _meas,n Q of neighbor cell _meas ，Qoffset _s,n Is the energy offset between the serving cell and the neighbor cell.

Step4: a low priority cell evaluation is performed.

A low priority cell refers to a neighbor cell having a lower priority than the serving cell. When the terminal device detects that the following conditions are satisfied, cell reselection is performed, wherein the conditions comprise:

the energy of the serving cell is smaller than a threshold configured by a network side and the energy of the neighbor cell is larger than the threshold configured by the network; and the reselection evaluation time is reached; or alternatively, the process may be performed,

the quality of the serving cell is less than the threshold of the network configuration and the quality of the neighbor cell is greater than the threshold of the network configuration, and the reselection evaluation time is reached.

2. Cell handover

The main steps of the cell switching specified in the existing protocol include:

step1: measurements are performed on the RSRP and RSRQ of the serving cell and neighbor cells.

Step2: reporting a measurement report to the network side when the condition of the measurement event configured by the network side is met, wherein the measurement report comprises measurement results of a serving cell and a neighbor cell.

Step3: and the network executes the switching process of the UE to the target cell according to the measurement report.

For example, the network device switches the terminal device from the serving cell to the target cell according to the measurement report, where the RSRP or RSRQ of the target cell is higher than that of the serving cell. That is, in the cell handover procedure, the terminal device reports the measurement report to the network device, and the network device performs the cell handover procedure based on the measurement report, unlike the cell reselection.

Therefore, in the existing mechanism, both cell reselection and cell handover are performed based on the measurement result of the terminal device, specifically, selecting a cell access with higher RSRP or RSRQ in the measurement result.

However, there is a case: assuming that the terminal device resides in cell a, it is detected that the RSRP or RSRQ of the neighbor cell B is higher, and the terminal device switches from cell a to cell B. However, the QoE of the cell B is not necessarily good, for example, the user access amount of the cell B is high, which results in a problem of network blocking after the terminal device accesses the cell B, and affects the user experience.

In view of this, an embodiment of the present application provides a cell selection method, in which a terminal device may select a cell access with better quality of experience QoE.

Referring to fig. 1, a schematic diagram of an application scenario is provided in an embodiment of the present application. It is assumed that the terminal device is within the coverage of cell a. And the terminal equipment performs neighbor cell measurement and measures the information of the cell B and the cell C. Suppose that the RSRQ ordering result for cell a, cell B, and cell C is cell B > cell C > cell a. According to existing mechanisms, the terminal device should select cell B access. But after the terminal device accesses cell B, there is not necessarily a better QoE. Therefore, in the embodiment of the present application, the terminal device may learn QoE of the cell a, the cell B and the cell C, and select a cell access with better QoE. If the terminal equipment determines that the QoE of the cell C is better, the terminal equipment selects the cell C for access. Therefore, the cell selected by the cell selection method provided by the embodiment of the application is not the same as the cell selected based on the existing mechanism, and the cell selected by the cell selection method provided by the embodiment of the application can provide better QoE.

Example 1

QoE of 1.1-cell

The QoE of a cell refers to network quality experience in the process of data interaction with the cell after terminal equipment accesses the cell. In short, after the terminal device accesses the cell, the user uses the terminal device to access the internet.

Evaluation of QoE of 1.2-cell

The terminal device may evaluate the cell QoE by one or more evaluation metrics including, but not limited to, network throughput rate, transmission rate, delay, packet loss rate, bit error rate, etc. For example, taking the transmission rate as an example, qoE is considered better when the transmission rate is higher. QoE is considered poor when the transmission rate is low.

One more intuitive way of assessing is to provide a plurality of performance labels (or may also be referred to as performance levels), such as fluency, general, and jamming. The terminal equipment marks different performance labels for the cell according to the evaluation indexes (such as time delay and transmission rate) of the cell. That is, the evaluation procedure of the cell QoE can be understood as a procedure of cell marking performance labels.

The multiple evaluation indexes such as the transmission rate, the time delay, the packet loss rate, the bandwidth and the like can be used independently or in combination, for example, when the time delay is used independently and determined by the terminal equipment to be smaller than a first threshold value, the performance label of the cell is determined to be smooth, when the time delay is determined to be within the range of a second threshold value and the first threshold value by the terminal equipment, the performance label of the cell is determined to be general, and when the time delay is determined to be larger than the second threshold value by the terminal equipment, the performance label of the cell is determined to be stuck, wherein the first threshold value is lower than the second threshold value.

Or the terminal equipment determines that the flow is considered to be smooth when at least one of the following conditions is met; such conditions include, but are not limited to: the time delay is less than the time 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, etc. Or the terminal equipment considers that the terminal equipment is blocked when at least one of the following conditions is met; such conditions include, but are not limited to: the delay is greater than a delay threshold 2, the packet loss rate is greater than a packet loss rate threshold 2, the transmission bandwidth is less than a bandwidth threshold 2, etc.

Of course, besides the three performance labels of fluency, general and blocking, the terminal device is further provided with more labels, for example, the labels comprise fluency, general, blocking and serious blocking; or five performance labels including very smooth, general fluent, general, stuck and severely stuck; etc. Of course, the terminal device may also set only two performance tags, such as fluent and katon. The following description mainly takes three performance labels of fluency, generality and blocking as examples.

Thus, the evaluation result obtained by QoE evaluation of a cell may be a performance label. Of course, the evaluation result may also be a score, as described in particular in example 1.3 below.

1.3-learning procedure of QoE of cell

As described in the foregoing embodiment 1, 1.2, the terminal device marks each cell with a performance tag, such as fluency, general, katon, etc. In general, qoE of a cell is affected by access amount, and the access amount is dynamically changed, for example, the access amount is smaller in a certain period of time, the QoE is better, and the access amount is larger and the QoE is worse in another period of time. Therefore, after the terminal device accesses a cell, the QoE of the cell, i.e. the real-time marking performance label, can be evaluated in real time.

Taking cell a as an example, a procedure of the terminal device learning QoE of cell a is described below. Specifically, the QoE procedure of cell a includes a data statistics procedure and a score calculation procedure.

1. Suppose that the terminal device accesses cell a at 7 months 1.

And (3) data statistics process:

the method comprises two processes of data acquisition and statistics; the terminal device may collect data in real time (e.g., every second), for example, the data collected at 1 st second after the terminal device accesses cell a is shown in table 2:

TABLE 2

Cell	Acquisition time point	QoE	Reason
				Cell A	09:00:00	Cartoon-like pattern	The transmission rate is below threshold 1

The data collected at 2 seconds are shown in table 3:

TABLE 3 Table 3

Cell	Acquisition time point	QoE	Reason
				Cell A	09:00:01	Fluency	The transmission rate is higher than threshold 2

The data collected at 3 seconds are shown in table 4:

TABLE 4 Table 4

Cell	Acquisition time point	QoE	Reason
				Cell A	09:00:02	In general	The transmission rate is between threshold 1 and threshold 2

Optionally, to save power consumption, the terminal device may determine whether to light the screen currently, and collect data if the screen is light, or not collect data. And/or the terminal equipment can judge whether the mobile network is connected currently, if yes, data are collected, and if not, the data are not collected. For example, if the terminal device detects that the 3G or 4G mobile network is currently connected, data is collected, and if the terminal device detects that the wireless wifi is currently connected, data is not collected.

That is, the terminal device may mark the performance tag at regular intervals (e.g., every second/every few seconds/every few tens of seconds/every minute, etc.). In this way, the terminal device may obtain a large amount of data, and the collected data may be counted as shown in table 5 below:

table 5: performance marking results for cell A7 month 1

Referring to table 5, the terminal device determines the performance tag once per second from the time of 09:00:00. The 09:00:00 may be a time when the terminal device accesses the cell a, or a preset time after accessing the cell a, where the preset time is, for example, a time when the terminal device first uses the network after accessing the cell a, or a fixed time after accessing the cell a, and so on, which is not limited in the embodiment of the present application.

Once the performance label is determined every second, in this way, the terminal device may obtain the performance labels corresponding to the cell a at a plurality of time points, so that the cumulative number of the performance labels corresponding to the time periods (or time slices) in which the plurality of time points are located may be counted, for example, see the following table 6:

table 6: cumulative statistics for 7 month 1

The time period in table 6 may be a time period including all acquisition time points. For example, the time period between the earliest acquisition time point and the latest acquisition time point; for example, in table 5 above, the acquisition is 5 times so the time period is 5s. When the collection times are more, the time period can be longer, such as from 09:00:00 to 10:00:00, then the time period is one hour, namely 09:00:00 to 10:00:00:00. Of course, the time period may be preset, for example, 24 hours a day, and 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, and it is assumed that there are a plurality of acquisition time points and each is between 09:00:00 and 10:00:00, even if the data in the time period 09:00:00 to 10:00:00. Of course, for brevity, the acquisition time points may not be included in table 6 above.

With continued reference to table 6, assuming that the terminal device did not count the performance label of the cell a before 7 months 1, the cumulative number of days is 1, the number of times of the caton is 2 times of the caton occurrence in the 5 times of collection (taking the 5 times of collection in table 5 as an example) (see table 5), the number of times of the fluency occurrence in the 5 times of collection is 2 times, and the general number of times of the fluency occurrence in the 5 times of collection is 1 time.

Score calculation process:

after the terminal device counts the data, a score of the cell a may be calculated, where a calculation manner of the score result may include:

(1) And the terminal equipment sets a cartoon weight, a general weight and a fluency weight. The smooth weight is highest, the general weight is lower than the smooth weight, the cartoon weight is lower than the general weight, for example, the maximum weight is 100, the smooth weight is 100, the general weight is 70, and the cartoon weight is 40; alternatively, the fluency weight, the general weight, and the fluency weight may be any one of a range of intervals or a range of intervals, for example, the range of intervals of the fluency weight is (80, 100), the range of intervals of the general weight is (60, 80), and the range of the click weight is (40, 60).

Wherein, the blocking weight, the general weight and the fluency weight can be preset fixed values or fixed interval ranges; alternatively, the click-through weight, the general weight and the fluency weight may be adjusted, for example, the user may manually adjust the click-through weight, the terminal device may provide a weight adjustment interface, in which the current click-through weight, the general weight and the fluency weight are displayed, and the user may adjust the click-through weight, the general weight or the fluency weight in the interface.

Of course, if the terminal device sets four performance labels, such as fluent, general, stuck, and severe stuck; the corresponding weight may be set to: fluency weight 100, general weight 80, stuck weight 60, severe stuck weight 40; alternatively, the range of the fluency weight is (80, 100), the range of the general weight is (60, 80), the range of the click weight is (40, 60), and the range of the serious click is (20, 40. Note that, no matter how many performance labels are, the calculation mode principle of the scoring result is the same, and the calculation process of the scoring result is described by taking fluency, general and click as examples.

(2) The terminal equipment determines the blocking rate, the general rate and the fluency rate of the cell A; the click rate refers to the probability of network click after the terminal device connects to the cell a, for example, the click rate=the cumulative number of clicks/the total number of clicks, the total number of clicks=the cumulative number of clicks+the fluent cumulative number of clicks+the general cumulative number of clicks. Taking the above table 6 as an example, the click through rate=2/5. The general rate refers to the general probability of the network after the terminal device is connected to the cell a, for example, the general rate=general accumulated times/total times; total number = stuck total number + fluent total number + general total number. Taking the above table 6 as an example, the general ratio=1/5. The fluency rate refers to the probability of network fluency after the terminal equipment is connected with the cell A; for example, fluency = fluency cumulative number/total number; total number = stuck total number + fluent total number + general total number. Taking the above table 6 as an example, the fluency rate=2/5.

(3) The terminal equipment determines the score of the cell A based on the katon weight, the general weight and the fluency weight and the katon rate, the general rate and the fluency rate: for example, the score for cell a satisfies: x1=fluency rate+katon weight rate+general weight rate. Wherein X1 is a score. Such as x=70, 80, 90, etc.

Taking the example that the performance labels are stuck, general and fluent, more or fewer performance labels may be actually included, and summarizing, the scoring result of the cell satisfies:

wherein i is the ith performance label of the cell, N is the total number of performance labels, if the performance labels are 3, n=3; xi is the occurrence probability of the ith performance label, yi is the weight corresponding to the ith performance label, wherein the sum of the weights corresponding to all the performance labels is 1; wherein the performance label is a grade of the terminal equipment divided by the network performance of the cell.

The step (1) to the step (3) are scoring results within a time period 09:00:00-09:00:04 after the terminal equipment 7 months 1 accesses the cell a.

The above-described evaluation result X1 is the current day evaluation result of the terminal device on cell a No. 7 month 1. In order to improve accuracy of the evaluation result of the cell a, the learning of the cell a may be continued, for example, when the terminal device accesses the cell a next time, the learning of the evaluation result of the cell a may be continued.

2. Suppose that the terminal device re-accesses cell a at 7 months 2.

There is a case where the terminal device accesses the cell a again at 7 months 2 may be different from the time of accessing at 7 months 1, for example, the cell a is accessed at 7 months 1 am but accessed at 7 months 2 at night, and thus, the terminal device does not overlap with the acquisition time point of 7 months 1 at the acquisition time point of 7 months 2, in which case the terminal device may count the cumulative number of the plurality of acquisition time points at 7 months 2 at night in a similar manner and calculate the scoring result, the principle of which is the same as that of the scoring result in table 6 above, except that the time period does not overlap with the time period in table 6 at one night.

The procedure for the terminal device to continue learning cell a will be described below assuming that the terminal device accesses cell a at 7 months 2 in the morning (i.e. the time when the terminal device accesses cell a at 7 months 1 overlaps with the time when the terminal device accesses cell a at 7 months 2).

And (3) data statistics process:

the terminal device marks the performance tag at regular intervals (e.g. every second) after receiving cell a, 7 months 2. For example, see table 7 below:

table 7: performance labelling results for 7 month No. 2

The terminal device may obtain performance labels corresponding to the 7 month No. 2 day cell a at a large number of time points, and may count accumulated times of the corresponding performance labels in a time period (or a time slice) where the large number of time points are located, for example, see table 8 below:

table 8: cumulative statistics for 7 month No. 2

The acquisition time points may not be included in table 8 above. The calculation method of X2 is similar to that of X1, and the description is not repeated here. It should be noted that X2 is a current day evaluation result of the terminal device on the day 7 month 2 for the cell a in the time period 09:00:00-09:00:04.

In order to improve accuracy of the learning result of the cell a, the terminal device may iterate the current day evaluation result of 7 months 1 and the current day evaluation result of 7 months 2 to obtain a final evaluation result. For example, the terminal device may update the above table 6 based on table 8 to obtain table 9, and table 9 may be understood as the data superposition result of table 8 and table 6.

Table 9: cumulative statistics for 7 month 1 and 7 month 2

The acquisition time points may not be included in table 9 above. Wherein, the accumulated days in table 9 refers to accumulated days of learning cell a by the terminal device in a time period of 09:00:00-09:00:04; the number of the accumulation of the blocking comprises the sum of the number of the accumulation of the blocking occurring in the time period 09:00:00-09:00:04 in 7 months 1 and the number of the accumulation of the blocking occurring in the time period 09:00:00-09:00:04 in 7 months 2; the fluency accumulation times comprise the sum of the fluency accumulation times of 7 months 1 in the time period 09:00:00-09:00:04 and the fluency accumulation times of 7 months 2 in the time period 09:00:00-09:00:04; the general cumulative number of times includes a sum of the general cumulative number of times 7 months 1 occurred in the period 09:00:00-09:00:04 and the general cumulative number of times 7 months 2 occurred in the period 09:00:00-09:00:04.

Score calculation process:

the score X3 is an evaluation result of the terminal device on the cell a by integrating the statistical data of 7 months 1 and 7 months 2 days. There are various ways of determining X3, such as at least one of the following ways 1 to 3:

mode 1, X3 is the average of X1 and X2,

mode 2, X3 is a weighted average of X1 and X2, such as x3=k1 x1+k2 x2; wherein k1, k2 are weight factors, k1+k2=1, k1, k2 can be set as preset fixed values, and can be dynamically adjusted. It will be appreciated that if the calculation of the rating X3 occurs on day 7 month 2, then X1 is the historical rating result; x2 is the evaluation result of the day. Therefore, the terminal device weights the current day evaluation result and the historical evaluation result to obtain a final evaluation result.

Mode 3, similar to the mode of X1 calculation, specifically, X3 satisfies: x3=fluency weight × historical fluency + katon weight × historical katon rate + general weight × historical general rate. The historical jamming rate refers to the probability of network jamming after the terminal equipment is connected with the cell A in the history, and the historical is 7 months 1 and 7 months 2 days; for example, the historical click-through rate=the historical click-through count/the historical total count, the historical total count=the historical click-through count+the historical fluency count+the historical general count. Taking the above table 9 as an example, the historical click through rate=4/10. The history general rate refers to the probability of network general occurrence after the terminal device is connected to the cell a in history, for example, the history general rate=history general accumulated times/history total times; historical total times = historical stuck times + historical fluency times + historical general times. Taking the above table 9 as an example, the history general rate=2/10. The historical fluency rate refers to the probability of network fluency after the terminal equipment is historically connected with the cell A; for example, historical fluency = historical fluency cumulative number/historical total number; historical total times = historical stuck times + historical fluency times + historical general times. Taking the above table 9 as an example, the historical fluency rate=4/10.

3. Assuming that the terminal device again counts data for this period of time, 7 months 3, to 09:00:00-09:00:04, the score for cell a may be calculated using any of modes 1-3 above. Assuming that the above-described mode 1 is used, and further assuming that the evaluation result on the same day as 7 months 3 is X4, the final evaluation result is an average value of X1, X2, and X4; assuming mode 2 above is used, the final evaluation result is a weighted average of X1, X2, and X4. Alternatively, the final score may be calculated using the following:

1. calculating a historical fluency = historical fluency cumulative number/historical total number; similarly, history general rate=history general accumulated number/history total number; history click rate = history click cumulative number/history total number; the historical fluency accumulation times here include fluency accumulation times of 7 month No. 1 and 7 month No. 2; the same is true of the historical general accumulation times and the historical stuck accumulation times.

2. Calculating a history score p=history fluency probability + general weight + history general probability + katon weight-history katon probability;

3. calculating the current day fluency = current day fluency accumulation number/current day accumulation total number; general daily rate = general daily cumulative number/total daily cumulative number; the current day click-through rate=current day click-through accumulated times/current day accumulated total times;

4. Calculating the current day score q=current day fluency probability + general weight current day general probability + katon weight current day katon probability

5. Calculating a final score = k1 x history score + k2 x current day score; where k1, k2 are weight factors, k1+k2=1.

Thus, through the above learning procedure, the terminal device can learn the scoring result of cell a, which can be used to a certain extent to characterize the QoE of cell a over the period of time (09:00:00-09:00:04).

It should be noted that, the data statistics process may occur in real time after the terminal device is connected to the cell a, and the score calculation process may be performed in real time, for example, the score calculation is performed once every time the data statistics is performed, or the score calculation process may also occur at a fixed time of each day, for example, after the terminal device counts the data of the day 7 month 1, the score result of the cell a is calculated at a fixed time 7 month 1 (for example, 24:00 pm). For another example, after the terminal device counts the data of day 7 month 2, the final evaluation result of the cell a is determined at a fixed time of day 7 month 2 (for example, 24:00 pm) based on the current day evaluation result and the historical evaluation result. Or, the terminal device performs the scoring calculation process in idle time, for example, in the time of screen extinction of the terminal device, or performs the scoring calculation process when the duration of screen extinction is determined to be greater than the preset duration, or performs the scoring calculation process when the terminal device determines that the number of running applications is less than the preset number, etc., which are not limited in this embodiment.

In some embodiments, to facilitate recording of historical statistics and current day statistics, table 9 above may also take the form of table 10 below:

table 10: cumulative statistics for 7 month 1 and 7 month 2

The acquisition time points may not be included in table 10 above. The number of the accumulation of the blocking is the sum of the number of the accumulation of the blocking of No. 1 in 7 months and the number of the accumulation of the blocking of No. 2 in 7 months, and the number of the accumulation of the fluency is the same as the number of the accumulation of the general accumulation, so that the accumulation of the blocking can be used for calculating the historical scoring result. The last accumulated number of the blocking is the accumulated number of the blocking on the day No. 2 of 7 months; the last fluency accumulation number is the fluency accumulation number of the day 7 month No. 2; the last general accumulated time is the general accumulated time of the day 7 month 2; can be used for calculating the scoring result of the current day; the last date refers to 7 month No. 2. It should be understood that if the terminal device again counts data for this period of time, 09:00:00-09:00:04, at 7 months 3; the table 10 is updated.

To increase the calculation rate, some aging data may be deleted, which may be understood as data before a preset time, such as data before 1 week or data before one month. For example, if the accumulated number of days in the above table 6 reaches a preset number of days (e.g., 7 days or 15 days or 30 days), the data before the preset number of days may be deleted, i.e., the data before the preset number of days is not used to calculate the scoring result.

1.4-learning procedure of QoE of cells in different scenarios (Scene)

In the embodiment of the present application, the terminal device may perform QoE learning on each accessed cell, or may perform QoE learning on only a cell in a fixed scenario. Wherein, the fixed scene includes home, company, on-duty route, off-duty route, etc. Optionally, the manner in which the terminal device determines whether to enter the fixed scene includes, but is not limited to, the following manners:

1. the entry into the fixed scene is determined by GPS. For example, if the terminal device detects that the GPS is basically all the position 1 in the history within a specific time period, the position 1 is regarded as a fixed scene, for example, the GPS is basically all the position 1 in the history within the time period from 9 am to 18 pm, the position 1 is marked as "company", and when the terminal device detects that the current GPS is the position 1, the current scene is determined to be "company". For another example, if the GPS is historically at position 2 from 7 pm to 8 am, then position 2 is marked as "home", and if the terminal device detects that the current GPS is position 2, then it is determined that the current scene is "home".

2. Entry into a fixed scene is detected by the fence. Wherein, the rail can be including wifi information constitution, for example, terminal equipment detects that the wifi information that historically in the specific time quantum was around is (wifi 1, wifi2, wifi 3) basically, then will (wifi 1, wifi2, wifi 3) as the rail that fixed scene corresponds. For example, the surrounding wifi information in the period from 9 am to 18 pm is basically (wifi 1, wifi2, wifi 3), the (wifi 1, wifi2, wifi 3) is marked as a fence corresponding to a company, and when the terminal device detects that the surrounding wifi information is consistent with or not greatly different from (wifi 1, wifi2, wifi 3), the current scene is determined to be the company. For another example, the surrounding wifi information from 7 pm to 8 pm is (wif, wifi5, wifi 6), then (wif, wifi5, wifi 6) is taken as the fence corresponding to "home", and when the terminal device detects that the surrounding wifi information is consistent with (wif, wifi5, wifi 6) or not much different, the current scene is determined to be "home". Of course, the fence may also have other forms, for example, the fence may also be formed by cell information of the mobile network, for example, if the terminal device historically detects that the serving cell is cell a or that the serving cell is cell a and the neighbor cells are (cell 1, cell 2, and cell 3) in a specific period of time, then the cell a and the neighbor cells (cell 1, cell 2, and cell 3) are used as the fences corresponding to the fixed scenario.

If the terminal device only learns the QoE of the cells in the fixed scenario, one possible way is, for example, that the terminal device detects that the current scenario is "home", and learns the QoE of a plurality of cells in the current scenario, where the plurality of cells in the current scenario refer to the cells that can be detected in the current scenario and can normally camp on. For example, in a home, the terminal device can detect a plurality of cells distributed around, and the terminal device can actively connect each cell to learn QoE of each cell, or the terminal device can learn QoE of a certain cell after accessing the cell, and learn QoE of another cell after switching to the other cell.

For example, see table 11A below, which is an example of acquiring data of each cell after the terminal device connects each cell in different scenarios. In the following table, scene represents a Scene, time represents an acquisition Time point, SIM SerCGI represents a cell global identifier (cell global Identity, CGI) of a serving cell (serving cell) of a subscriber Identity module (subscriber Identity module, SIM) in the mobile phone, and the CGI of the cell may be an Identity of the cell, abbreviated as CID. The SIM SerRSRP represents the RSRP of the serving cell of the SIM card in the handset, and the SIM SerRSRP represents the RSRP of the serving cell of the SIM card in the handset.

Table 11A: data acquisition of cells in different scenarios

Taking the above table 11A as an example, the terminal device may calculate the accumulated statistical result of the performance label of the cell corresponding to the scene "home", and the corresponding QoE learning result, that is, the score, and also calculate the accumulated statistical result of the performance label of the cell corresponding to the scene "company", and the corresponding QoE learning result, which may be specifically referred to the description of 1.3 in the foregoing embodiment 1, and will not be repeated here. For example, referring to table 11B below, the accumulated statistics and QoE learning results for the cells (e.g., cell a and cell B) corresponding to the scenario "home".

Table 11B: accumulated statistical result of cells corresponding to scene' home

Because of the large amount of data collected, for data conciseness, the information in the table can be mapped into a simple Index (Index), so that the table can be simplified, for example, in the table 11A, RSRP and RSRQ can be converted into indexes according to a certain corresponding relation, for example, RSRP-60dBm to-80 dBm can be converted into indexes of "1", "excellent" or "high", RSRP-80dBm to-100 dBm can be converted into indexes of "0", "poor" or "low". For another example, RSRQ values of-60 dBm to-80 dBm are converted to indexes "1", "excellent" or "high", and RSRQ values of-80 dBm to-100 dBm are converted to indexes "0", "bad" or "low". For another example, the Time period may also be converted to a Time index (Time index), such as 8:00-9:00 to Time index "8", and 18:00-19:00 to Time index "18". Therefore, the table corresponding to the table 11A described above may be replaced with the following table 11C:

TABLE 11C

Scene

TimeIndex

SerCGI

RSRP Index

RSRQ Index

QoE

Reason

Household appliance

8

CID1

Excellent (excellent)

High height

Fluency

Company (Corp)

18

CID2

Good grade (good)

Low and low

In general

1.5 learning results of memory cells

Mode 1, establishing and storing the corresponding relation between the cell and the scoring result.

Alternatively, in the learning process, it may not be necessary to record a time period, for example, the terminal device is connected to the cell a in a certain time period, and learns that the score result of the cell a is X, and uses X as the final score result of the cell, but not as the score result of the cell a in the time period. For another example, no matter in which time period the terminal device is connected to the cell a, the scoring result of the cell a may be learned, and then the scoring results of the cell a in each time period are integrated to obtain a final score. In this case, the terminal device obtains the scoring result of each cell, and the scoring result does not divide different time periods. For example, see table 12 below for examples of scoring results for individual cells.

Table 12

Cell identification	Scoring results
		Cell A	90 to 100 minutes
Cell B	80 to 90 minutes
		Cell C	70 to 80 minutes

The scoring result of each cell may be a specific value or an interval range (see the foregoing description), which is not limited in this embodiment of the present application.

For convenience of use, the terminal device may store a correspondence between cells and scoring results, such as table 12, and when selecting a target cell, may select the target cell based on the correspondence, such as directly selecting the cell with the highest scoring result, or suppress or enhance the cell measurement result based on the scoring result, and select the cell based on the measurement result after suppression or enhancement (specifically, description of modes a to C in embodiment 2 below). Of course, the corresponding relationship may be updated, for example, the score of the cell stored in the corresponding relationship is actually a history score, after the terminal device accesses the cell a again in the same day, the current day score of the cell a is obtained, and the current day score and the history score in the corresponding relationship are combined to obtain the final score of the cell a.

And 2, establishing a corresponding relation among the cell, the time period and the scoring result and storing the corresponding relation.

In order to improve the accuracy of cell selection, the terminal device may record the scoring results of each cell in different time periods, where, in this case, for the same cell, the scoring results correspond to different time periods. For an example, see table 13 for an example of scoring results for each cell.

TABLE 13

Cell identification	Time period	Scoring results
			Cell A	8:00-9:00	90 to 100 minutes
Cell B	8:00-9:00	80 to 90 minutes
			Cell C	8:00-9:00	70 to 80 minutes
Cell A	9:00-10:00	60 to 70 minutes
			Cell B	10:00-11:00	60 or less

In the example shown in table 13, the scoring result of cell a or cell B is different in two periods; in this way, the terminal device can select a more suitable target cell based on different time periods.

For convenience of use, the terminal device may store a correspondence between cells, time periods, and scoring results, such as table 13, and may select, when selecting a target cell, based on the correspondence. For example, the current time point is 8:30, then a scoring result corresponding to the time period (8:00-9:00) containing the current time point is selected, and a cell is selected based on the scoring result. For another example, the current time point is 7:59, then a scoring result corresponding to a future time period, such as 8:00-9:00, is selected, and a cell is selected based on the scoring result. Wherein, a cell is selected based on the evaluation result, such as a cell with the highest scoring result is selected directly, or a cell measurement result is suppressed or enhanced based on the scoring result, and a cell is selected based on the suppressed or enhanced measurement result (specifically, the description of modes a to C in embodiment 2 below). Of course, the correspondence may be updated, and a detailed description is omitted herein.

And 3, establishing a corresponding relation among the scene, the cell, the time period and the scoring result and storing the corresponding relation.

If the terminal device learns the cells of the fixed scene, the terminal device may store the correspondence between the scene, the time period, the cells and the scoring result in this case. For example, table 14 below:

TABLE 14

For convenience of marking, the above tables may be simplified, for example, specific time period information, such as 8:00-9:00, is converted into a time index "8", such as time periods 9:00-10:00, is converted into a time index "9".

Optionally, during QoE evaluation, invalid data may be filtered, where the invalid data may include non-QoE data, for example, the terminal device is stuck, but the reason for the stuck is that there are many running applications, and the system crashes cause stuck, which is not network stuck, and then the stuck cannot be counted into the accumulated stuck times; or, the invalid data may further include a jam caused by the failure of the server; for example, there is uplink data but no downlink data, for example, the terminal device interacts with the third party server through the communication application, but if the third party server fails or is maintained, and the terminal device is jammed, the number of times of the jam cannot be counted.

In some embodiments, the foregoing learning process of QoE of the cell may be implemented by a first algorithm model. Referring to fig. 2, a schematic diagram of a first algorithm model is shown. For example, the input parameters of the first algorithm model may be other data except for the score in table 6, and the output parameters are the score result X1. For another example, the input parameters of the first algorithm model may be other data except the scoring result in table 8, and the output parameters are scoring X2; alternatively, the input parameter of the first algorithm model may be other data except the score X3 in table 9, and the output parameter may be X3. The first algorithm model may be a decision tree, a logistic regression (logistic regression, LR), a Naive Bayes (NB) classification algorithm, a Random Forest (RF) algorithm, a support vector machine (support vector machines, SVM) algorithm, a directional gradient histogram (histogram of oriented gradients, HOG), a neural network, a deep neural network, a convolutional neural network, and the like. The first algorithm model may be a model previously established before shipment and stored in the terminal device; alternatively, the initial model is stored when leaving the factory, and the first algorithm model is a model obtained after training the initial model. The training process may be understood as inputting input parameters into an initial model, calculating to obtain an output result (scoring result), and if the output result does not conform to the real result, adjusting the initial model, so that the output result obtained by the adjusted model is accessed to the real result as much as possible, and the model after adjusting the model parameters is a first algorithm model.

Example 2

This embodiment describes a procedure in which the terminal device selects a target cell based on the historical QoE of the cell.

Referring to fig. 3, a flow chart of a cell selection method according to an embodiment of the present application is shown. The method comprises the following steps:

s200, the terminal device detects a plurality of cells.

The "detected cell" may be understood as a plurality of cells satisfying the selection condition determined by cell measurement. For example, if the terminal device is in a connected state, a plurality of cells satisfying a cell handover condition (e.g., RSRP or RSRQ higher than the serving cell) may be determined, and if the terminal device is in an idle state, a plurality of cells satisfying a cell reselection condition (e.g., step2 to Step4 in the cell reselection procedure in the foregoing) may be determined. The plurality of cells may include a current serving cell, a neighboring cell, etc. of the terminal device. The "detect cell" procedure may be performed in real time.

S201, the terminal device obtains a historical QoE of each of N cells, where the N cells are all or part of the plurality of cells.

The terminal equipment acquires the historical QoE of the cell under a certain triggering time, wherein the triggering time comprises at least one of the following steps:

1. the historical QoE of a cell is obtained whenever a cell is detected. If multiple cells are detected, a historical QoE of all or part of the multiple cells is obtained.

2. Considering that the detected cells are different when the location of the terminal device changes. Therefore, when the position of the terminal device changes or the change amount is larger than a preset value, detecting the cell, and then acquiring the historical QoE of the cell.

3. Assuming that the terminal device is currently connected to the cell a, when the terminal device detects that the signal strength of the cell a is lower than the threshold value, it is indicated that the terminal device is to move out of the serving cell, for example, to move to an edge area of the serving cell, at this time, the terminal device may detect the cell, then acquire the historical QoE of the cell, and select the cell based on the historical QoE.

4. When the terminal equipment detects that a fixed scene is entered, detecting a cell, and then acquiring the historical QoE of the cell. For example, if the terminal device detects that the fixed scene "home" is entered, the terminal device selects a target cell from a plurality of cells corresponding to "home" based on the above table 11C or table 14. Wherein, the terminal device detects the manner of entering a fixed scene please refer to 1.4 in the foregoing embodiment 1.

5. The terminal device detects the cell at a fixed point in time, e.g., an integer point in time, e.g., 8 points, 9 points, 10 points, etc., and then obtains the historical QoE of the cell. Alternatively, the fixed point in time may be a preset time before the full point in time, such as 8:59,9:59, 10:59, and so on. In this case, the historical QoE of the cell for the future time period may be selected. For example, at 8:59, select 9:00-10:00 historical QoE of cells for this period of time. Alternatively, the fixed time point may be the acquisition of the start time of a time period (or time slice), for example, the time period is 09:00-10:00, and then the fixed time point is 09:00 or 09:01.

Wherein the historical QoE includes an evaluation result of the historical QoE. The evaluation result may be a scoring result, where the scoring process may be described in embodiment 1, or may be a performance label, such as fluency, katon, etc. The following description will take scoring as an example. As in 1.5 of embodiment 1, the correspondence between cells and scoring results may be stored in the terminal device, e.g. in table 12 above; or correspondence between cells, time periods, and scoring results such as table 13 or table 14. If the corresponding relation of the time period is not included as shown in table 12, the terminal device may acquire the historical QoE of the cell, which may be the cell identifier of the acquired cell, and determine the historical QoE corresponding to the cell identifier in the corresponding relation based on the cell identifier. If the correspondence relationship including the time period is shown in table 13 or table 14. The terminal device obtaining the historical QoE of the cell may include: acquiring historical QoE of a cell at a current time point; for example, if the current time point is 8:30, the terminal device acquires a historical QoE of the cell within a time period including 8:30. Taking table 13 as an example, assuming that N cells include cell a and cell B, and the period of time including the current time, i.e., 8:30, is 8:00-9:00, the evaluation result of the historical QoE of cell a is 90-100 minutes, and the evaluation result of the historical QoE of cell B is 80-90 minutes. Alternatively, the terminal device obtaining the historical QoE of the cell may further include: a cell history QoE over a future time period is acquired. The future time period refers to a preset time period after the current time point, such as a time closer to the current time point, for example, the future time period may be a time period of 9:00-10:00 assuming that the current time point is 8:59.

For example, assuming that the day is 7 months 5, the terminal device obtains the historical scoring results of the cell 7 months 5 ago. Assuming that the current time point is 8:30 of 7 months 5, the terminal device obtains a historical scoring result of the cell within a time period (such as 8:00-9:00) containing 8:30. Or, the terminal device obtaining the scoring result of the historical QoE of the cell may refer to obtaining the historical scoring result of the cell and the current day scoring result of the cell, and then obtaining the final scoring result of the cell based on the historical scoring result and the current day scoring result of the cell. The process of obtaining the final scoring result of the cell based on the historical scoring result and the current scoring result of the cell is described in the foregoing. Assuming that the current time point is 7 months 5 # 8:30, the terminal device acquires a historical scoring result of the cell in a time period (such as 8:00-9:00) containing 8:30 and a current day scoring result of the terminal device in the time period of 8:00-8:30 in 7 months 5, and obtains a final scoring result based on the current day scoring result and the historical scoring result. In the mode, the terminal equipment considers the current day scoring result, so that the method is accurate.

S202, the terminal device selects a target cell among a plurality of cells based on the historical QoE.

It will be appreciated that after the terminal device detects multiple cells, the terminal device may have stored therein a historical QoE for all or part of the multiple cells. Thus, the following description is given in two cases.

Case 1, n cells are all of the plurality of cells.

Assuming that the historical QoE of all cells is obtained, 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 a cell based on the suppressed or enhanced measurement result. Specifically, the method can be performed in the following mode 1 or mode 2.

Mode 1: the terminal equipment 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 may acquire the first measurement results of the N cells in S200, or may perform the measurement after S200. The process that the terminal device obtains the first measurement result of the cell may be understood as cell measurement, for example, the physical layer performs cell measurement, and then reports the measurement result to a higher layer, for example, an RRC layer; the measurement process may be referred to the foregoing description and will not be repeated here. The terminal equipment suppresses the first measurement result of each cell based on the historical QoE of each cell in the N cells to obtain a second measurement result, and selects a cell with the highest measurement result or a cell with the measurement result larger than a threshold value in the second measurement result as a target cell. For example, assume that the terminal device detects the first measurement results of cell a, cell B, and cell C as shown in table 15 below:

Table 15: first measurement result

Cell	RSRQ
		Cell A	P1
Cell A	P2
		Cell B	P3

The corresponding relation between the scoring result and the suppression level is stored in the terminal equipment, wherein the higher the scoring is, the weaker the suppression is, for example, see the following table 16:

table 16: correspondence between inhibition level and scoring result

Scoring results	Inhibition grade
		(90 min, 100 min)]	-0dbm
(80 min, 90 min)]	-0dbm～-3dbm
		(70 min, 80 min)]	-3dbm～-10dbm
(60 min, 70 min)]	-10dbm～-20dbm
		60 or less	-above 20dbm

The higher the score, the weaker the suppression, for example, the measurement result of a cell is p= -60, if the score of the cell is 90 points, the corresponding suppression level is-0 dbm, and the measurement result of the cell after suppression is equal to the sum of P and the suppression level, i.e., P-0= -60; if the score of the cell is 80 points and the corresponding suppression level is-3 dbm, the measurement result after suppression of the cell is equal to the sum of P and the suppression level, namely P-3= -63; since-60 is greater than-63, the higher the score, the weaker the suppression, the higher the suppressed measurement, and if the terminal device selects a cell based on the suppressed measurement, the higher the probability of being selected.

For example, it is assumed that after the terminal device obtains the scoring results of each of the cell a, the cell B, and the cell C, the corresponding suppression level is determined. For example, the scoring result of the cell a is x1=100, the corresponding suppression level interval is-0 dbm to-3 dbm, and the terminal device can select any suppression value in the interval-0 dbm to-3 dbm to suppress the measurement result P1 of the cell a; the suppression is equal to the measurement P1 plus the selected suppression value, e.g., the suppression value is-3 dbm and P1 is-80 dbm, then the measurement after suppression is p1_3= -83dbm. The suppression process for cell B and cell C is similar and will not be repeated. For example, the second measurement result, which is the measurement result after the suppression of cell a, cell B, and cell C, see table 17:

Table 17: second measurement result

Cell	RSRQ
		Cell A	P1-3dbm
Cell B	P2-5dbm
		Cell C	P3-15dbm

The terminal device determines which cell has the highest RSRQ in the second measurement result, and accesses which cell. For example, assuming that P2-5dbm is greater than P1-3dbm and P3-15dbm, cell B is selected.

In other embodiments, the table 16-correspondence between the suppression levels and the scoring results may be replaced with the following table 18: and the corresponding relation between the jamming rate and the inhibition level, wherein the higher the jamming rate is, the more the inhibition is. In this case, the terminal device may suppress the first measurement result of the cell based on the click-through rate of the cell.

Table 18: correspondence between the click-through rate and the inhibition level

Katon rate	Inhibition grade
		0％-10％	-0dbm
10％-20％	-0 to-3 dbm
		20％-50％	-3dbm to-10 dbm
50％-80％	-10dbm to-20 dbm
		80％-100％	-above 20dbm

Of course, the correspondence between the above table 16-inhibition level and the scoring result may be replaced by a correspondence between the fluency rate and the inhibition level, and it is understood that the higher the fluency rate, the weaker the inhibition. The calculation method of the click through rate and the fluency rate is referred to as 1.3 in the foregoing embodiment 1.

Mode 2, unlike the suppression policy of mode 1, is an enhancement policy in mode 2, specifically, the terminal device enhances the measurement result of each cell based on the scoring result of the historical QoE of each cell in the N cells, obtains a second measurement result, and selects, as the target cell, the cell with the highest measurement result or above the threshold value in the second measurement result.

The terminal device may store the correspondence between the scoring results and the enhancement levels, for example, see table 19 below for enhancement levels corresponding to different scoring results.

Table 19: correspondence between enhancement level and scoring result

Scoring results	Enhancement level
		(90 min, 100 min)]	20dbm or more
(80 min, 90 min)]	10dbm～20dbm
		(70 min, 80 min)]	3dbm～10dbm
(60 to 70 min)]	0dbm～3dbm
		60 or less	0

The higher the score, the greater the enhancement, for example, the measurement result of a cell is p= -60, if the score of the cell is 90 points, the corresponding enhancement level is 20dbm, and the measurement result of the cell after enhancement is equal to the sum of P and the enhancement level, i.e., p+20= -40; if the scoring result of the cell is 80 points and the corresponding enhancement level is 10dbm, the enhanced measurement result of the cell is equal to the sum of P and the enhancement level, namely, p+10= -50; since-40 is greater than-50, the higher the score, the greater the enhancement, the higher the enhanced measurement, and the higher the probability of being selected if the terminal device selects a cell based on the enhanced measurement.

For example, after obtaining the scoring results of each of the cell a, the cell B and the cell C, the terminal device determines the corresponding enhancement level. For example, the scoring result of the cell a is x1=90, the corresponding enhancement level interval is 10 dbm-20 dbm, and the terminal device can select any enhancement value in the interval 10 dbm-20 dbm to enhance the measurement result P1 of the cell a; as used herein, enhancement refers to adding the selected enhancement value to the measurement P1, for example, 10dbm to the enhancement value and-80 dbm to the measurement P1, then-70 dbm is the measurement after enhancement. The enhancement procedure for cell B and cell C is similar and will not be repeated.

Similarly, the correspondence between the table 19-enhancement level and the scoring result may be replaced by the correspondence between the click-through rate and the enhancement level, or may be replaced by the correspondence between the fluency rate and the enhancement level, or the like.

Case 2, n cells are part of a plurality of cells.

For example, three cells, cell a to cell C, are detected in total, the terminal device stores the historical QoE of cell a and cell C, and the terminal device does not store the historical QoE of cell B.

In this case, the terminal device may detect the first measurement result of cell a, the first measurement result of cell B, and the first measurement result of cell C. Because the cell A and the cell C have the historical QoE, the terminal equipment can inhibit or enhance the first measurement result of the cell A based on the historical QoE of the cell A to obtain the second measurement result of the cell A; and inhibiting or enhancing the first measurement result of the cell C based on the historical QoE of the cell C to obtain a second measurement result of the cell C. The terminal equipment determines the cell with the highest measurement result or higher than the threshold value as a target cell based on the second measurement result of the cell A, the second measurement result of the cell C and the sequencing result of the first measurement result of the cell B.

The above-described modes 1 and 2 may be used in combination, for example, when the score result of a cell is greater than a threshold, an enhancement policy is used, and when the score result of a cell is less than a threshold, a suppression policy is used.

It will be appreciated that other ways may be included in addition to the above ways 1 and 2, such as:

the terminal device selects a cell with a score of historical QoE greater than a threshold, and selects the cell as a target cell if the number of cells with the score greater than the threshold is 1, and selects a cell with the highest score as the target cell or selects a cell with the highest signal strength as the target cell if the number of cells with the score greater than the threshold is greater than 1. In the mode, when the terminal equipment selects the target cell, only the scoring result of the cell is considered, and the measurement result is not required to be restrained or enhanced, so that the method is simpler.

Alternatively, the terminal device may select a cell with the highest fluency rate or a fluency rate greater than the threshold value, and/or a cell with the lowest click-through rate or a click-through rate lower than the threshold value, where the fluency rate and the click-through rate are calculated in the manner described in embodiment 1 above with reference to 1.3. Of course, if there are a plurality of cells selected based on the fluency rate or the click-through rate, the cell with the strongest RSRP and/or RSRQ among the plurality of cells may be selected.

S203, the terminal equipment resides in the target cell.

It should be noted that, the terminal device camping on the target cell may include various 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 not originally in the target cell and is in an idle state, the terminal device needs to initiate cell reselection and camp on the target cell. The cell reselection procedure is described above. For another example, if the terminal device is not originally in the target cell and is in a connected state, a cell switching procedure is performed, and the terminal device is switched into the target cell, wherein the cell switching procedure is referred to in the foregoing description.

Example 3

In case 2 in embodiment 2, it is possible for the terminal device to select a cell with QoE, such as cell a or cell C, and also to select a cell without QoE, such as cell B. Since there is no historical QoE of cell B in the terminal device, that is, the terminal device does not know how the QoE of cell B is, at this time, a fast learning strategy may be started, which may be understood as the learning procedure of cell QoE in embodiment 1 described above is immediately performed. The performance or the score of the cell B can be learned through the fast learning strategy, and whether to continue to reside in the cell B or reselect the cell is judged based on the learning result of the cell B. The fast learning strategy includes the following mode 1 or mode 2:

In mode 1, after the terminal device resides in cell B, the performance label of cell B is determined. The manner in which the terminal device determines the performance label is referred to in 1.2 in embodiment 1. If the performance label of the cell B meets the following preset conditions, continuing to reside in the cell B, wherein the preset conditions comprise:

the performance label of cell B is fluent; or alternatively, the process may be performed,

the number of times that the performance label of the cell B is smooth within the preset duration is greater than the preset number of times; or alternatively, the process may be performed,

the network performance of the cell B is smooth and has a longer preset time length; or alternatively, the process may be performed,

the terminal equipment detects a plurality of cells and compares the performance labels of the cells, wherein the performance labels of the cell B are smooth, the performance labels of other cells are general or are blocked, or the smooth times of the performance labels of the cell B in a preset time period are highest relative to the performance labels of other cells;

the above preset conditions may be used alone or in combination, for example, if the performance label of the cell B is smooth, the cell B may stay in place without considering the performance labels of other cells; if the performance label of cell B is "general" or "stuck", the label may be a fluent cell from among other cells.

Assuming that the performance label of the cell B does not satisfy the above-mentioned preset condition, the cell B is handed over to other cells, which may be the original cell a or other neighbor cells of the cell B (neighbor cells other than the cell a). For example, the terminal device detects a plurality of cells, and the other cells are cells with the strongest QoE among the plurality of cells, for example, the highest score, or the detected plurality of cells are suppressed (or enhanced) based on a suppression policy (or enhancement measurement), and the cells are selected based on the measurement result after the suppression (or enhancement), specifically see mode 1 or mode 2 in embodiment 2.

It should be noted that, the handover of the terminal device from the cell B to the other cell may include various situations: for example, if the terminal device is in a connected state after selecting cell B and camping on cell B, a cell handover procedure is performed to switch to another cell. The cell switching process is described above. For another example, if the terminal device is in an idle state after selecting cell B and camping on cell B, a cell reselection procedure is performed to reselect to another cell. Wherein the cell reselection procedure is as described above.

The method 1 is simpler, and does not need to count the fluent accumulated times, the accumulation times of blocking, the grading result and the like, so that time is saved, for example, after switching to the cell B, data (such as time delay and transmission rate) are collected only once, the performance label of the cell B is judged through the data, and whether the cell B is continuously parked in the cell B is determined based on the performance label, so that the method 1 can rapidly judge the performance of the cell B.

In mode 2, after the terminal device resides in the cell B, the cumulative number of performance labels of the cell B is counted, for example, the cumulative result of performance labels of the cell B is counted immediately from the moment of switching to the cell B, for example, similar to table 6, and the terminal device can obtain the scoring result of the cell B. If the terminal equipment determines that the scoring result of the cell B is greater than the threshold value and/or greater than the scoring result of the original cell A, the terminal equipment continues to reside in the cell B; otherwise, switching to other cells. Or if the click-through rate of the cell B is determined to be lower than the threshold value and/or lower than the click-through rate of the original cell A, the cell B is continuously resided in, otherwise, the cell B is switched to other cells. Or if the fluency rate of the cell B is determined to be greater than the threshold value and/or greater than the fluency rate of the original cell A, the cell B is continuously resided in, otherwise, the cell B is switched to other cells. The selection method of the other cell may be either method 1 or method 2 in embodiment 2 described above.

After the terminal equipment resides in the cell B in the mode 2, counting the accumulated times of the performance labels of the cell B, and obtaining a more accurate evaluation result of the cell B based on the counted accumulated times of the performance labels. For example, after the terminal device resides in the cell B, multiple sets of data (time delay, transmission rate, etc.) are collected, and each set of data can determine a performance label, so as to count the accumulated times of the performance labels, and obtain a relatively accurate evaluation result. It should be understood that, in the method 2, the accumulated number of times of counting the performance label of the cell B needs a certain time, so that the accumulated number of times can be controlled within a certain period of time, such as 2s, 3s, 5s, 7s, 10s, etc., and if the period of time is 5s, five sets of data can be used for counting, assuming that data (delay, transmission rate, etc.) are collected once per second.

Example 4

The terminal device may set two cell selection mechanisms, namely a first selection mechanism, e.g. the existing mechanism described above, and a second selection mechanism, which may be understood as a signal strength priority mechanism; that is, a target cell is selected based on the directly detected measurement results, such as detecting the signal strengths (e.g., RSRQ) of cell a and cell B, and selecting the cell camping with the strongest signal strength. The second selection mechanism is a selection mechanism provided in the embodiment of the present application, and this selection mechanism may be understood as a mechanism that the user experience is prioritized, that is, selecting the target cell based on the QoE scoring result (such as the manner a or the manner B in the embodiment 2 above).

For example, a network searching main control module is set in the terminal device, and the network searching main control module can specify the first selection mechanism or the second selection mechanism. If a first selection mechanism is specified, a cell is selected based on the first selection mechanism, and if a second selection mechanism is specified, a cell is selected based on the second selection mechanism. The network searching main control module can decide to designate the first selection mechanism or the second selection mechanism according to a certain strategy.

For example, the second selection mechanism is used by default, and the first selection mechanism is used when the user designates the first selection mechanism. Wherein the user-specified manner is, for example: a cell selection mechanism switching button is displayed on an interface of the terminal device, and the user controls switching between the first selection mechanism and the second selection mechanism by controlling the switching button.

Or the terminal equipment accesses a cell, but detects that all neighbor cells of the cell have no learning result, and at this time, the terminal equipment can use a first selection mechanism. If all the adjacent cells have no QoE learning result, the terminal equipment does not know how the QoE of the adjacent cells is, in order to learn the QoE of the adjacent cells, the cells can be selected based on the first selection mechanism, and after the QoE of the adjacent cells is learned, the cells can be selected based on the QoE to avoid switching to the cells with poor QoE.

Or the terminal equipment accesses a cell, but the scoring results of the neighbor cells of the cell are detected to be lower than the threshold value, and at the moment, the terminal equipment can use a first selection mechanism. Under the condition that QoE of all adjacent cells is poor, the network experience of all adjacent cells is poor, and at the moment, the cell with the highest RSRP and/or RSRQ can be selected to be accessed based on the first selection mechanism, because the access quantity which can be carried by the cell with the higher RSRP and/or RSRQ is large.

The cells selected by the terminal device using the first selection mechanism and the second selection mechanism are different. For example, assuming that the terminal device is currently connected to cell a, the terminal device moves to a certain location W within a certain period of time, and detects that the neighbor cell includes cell B and cell C, based on the first selection mechanism, the terminal device will select cell B because RSRQ of cell B is larger than that of cell a and cell C. Suppose that after the terminal device connects to cell B, qoE is the first QoE. In the same location W and in the same period of time, the terminal device will select the cell C using the second selection mechanism, and although the RSRQ of the cell C may be lower than that of the cell B, the QoE of the cell C is better than that of the cell B. For example, suppose that after the terminal device connects to cell C, qoE is the second QoE. The second QoE is better than the first QoE. For example, assume that the first QoE includes, for example: after the terminal device is connected to the cell B, the transmission rate is the first rate, the transmission delay is the first delay, the error rate is the first error rate, and so on, where the transmission rate, the delay, the error rate, and so on participate in the description of 1.2 in embodiment 1. The second QoE includes, for example: after the terminal device is connected to the cell C, the transmission rate is the second rate, the transmission delay is the second delay, the error rate is the second error rate, etc., where the transmission rate, the delay, the error rate, etc. take part in the description of 1.2 in embodiment 1. The second QoE is superior to 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 less than the first error rate, and so on.

From the viewpoint of user use, after the terminal device selects to connect with the cell B based on the first selection mechanism in the same time period, network jamming may occur, for example, jamming occurs during playing of an online video, web content cannot be loaded out due to delay during browsing of a web page, and so on. However, in the same location, after the terminal device selects to connect with the cell C based on the second selection mechanism in the same time period, the network is smooth, for example, no clip is generated in the process of playing the online video, the web page can be quickly loaded with the web page content when the web page is browsed, and the like.

Example 5

Fig. 4 is a schematic flow chart of a cell selection method according to an embodiment of the present application, where the flow chart may also be understood as an information interaction process between different modules in a terminal device. The terminal equipment comprises a modem (modem) which is used for transmitting data with other equipment such as network equipment, and a scene recognition module which is used for recognizing scenes; the cell evaluation module is used for evaluating cells, such as determining the scoring result of the cells, and the cell selection module is used for selecting target cells. Any two or more of the scene recognition module, the cell evaluation module and the cell selection module may be integrated in one physical device (such as an application processor), or the scene recognition module, the cell evaluation module and the cell selection module are respectively located in different physical devices, which is not limited in the embodiment of the present application.

As shown in fig. 4, the flow of the method includes:

s501, the modem sends cell information to a cell selection module. The cell information may be information of a serving cell of the terminal device, including, for example, cell identity, signal strength, etc. It will be appreciated that, before step S501, a step of detecting cell information by the modem is further included, for example, the modem receives a system message broadcasted by the serving cell, where the system message includes 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. Wherein S502 includes S502a and S502b. The learning process of the cell evaluation module can be referred to the description of the foregoing embodiment 1.

S503, the scene recognition module performs scene recognition and sends the scene recognition result to the cell selection module. Wherein S503 includes S503a and S503b. The identification process of the scene corresponding to the scene identification module is referred to 1.4 in the foregoing embodiment 1, and the description thereof is not repeated here. Step S503 is an optional step, and step S503 is shown by a dotted line in the figure, because the terminal device may not need to perform scene recognition, such as learning for each accessed cell. The execution order of steps S501 to S503 is not limited in the embodiment of the present application.

S504, the cell selection module establishes a corresponding relation among the scene, the cell information and the scoring result of the cell. Optionally, the above correspondence may further include a time period, for example, the correspondence is a correspondence shown in table 14.

The above steps S501 to S504 may be understood as a learning stage of the terminal device, i.e. a stage of learning the score of the cell, so S501 to S503 may be performed multiple times, and in this way, the cell selection module may obtain the learning results of each cell under multiple scenarios, for example, the correspondence relationship shown in table 14.

The following S505 to S516 can understand the use phase of the cell learning result.

For example, when the terminal equipment detects that the terminal equipment jumps from one time period to another time period (such as from 8:00-9:00 to 9:00-10:00), the terminal equipment enters a using stage, and the terminal equipment performs scene recognition and cell information detection. 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 policy is generated and transmitted to the modem to execute the policy through the modem. See in particular the description of S505 to S516 below.

S505, the scene recognition module performs scene recognition and sends the scene recognition result to the cell selection module. S505 includes S505a and S505b.

S506, the modem sends the 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, where the cell information may include information of a serving cell and may also include information of a neighbor cell. For example, the terminal device currently resides in cell a, and detects that the neighboring cells include cell B and cell C. The cell information may include information of cell a, cell B, and cell C. It should be noted that the cell information in step S506 in the usage stage and step S501 in the learning stage may be different, and the cell information in the learning stage, i.e. step S501, may be information of a serving cell of the terminal device, because the terminal device is to learn QoE of the serving cell in the learning stage, but the cell information in the usage stage, i.e. step S506, may include information of the serving cell and may include information of a neighbor cell, because the terminal device desires to select a suitable cell access based on QoE learning results of the serving cell and the neighbor cell in the usage stage.

S507, the cell selection module determines a plurality of cells corresponding to the scene in the corresponding relation, and determines scoring results corresponding to the cells. Taking the scene of home as an example, assuming that 5 cells corresponding to the stored scene in the corresponding relation are present, taking the example that the cell information comprises a cell A, a cell B and a cell C, the terminal equipment determines scoring results corresponding to the cell A, the cell B and the cell C in the 5 cells.

S508, the cell selection module determines a strategy based on the scoring result. The policy may be a suppression policy, i.e. the cell selection module may determine a suppression level corresponding to the cell based on a correspondence between the scoring result and the suppression level (e.g. table 16 above), i.e. the suppression policy includes the suppression level corresponding to the cell. See table 20 below for an example of one strategy (suppression strategy) determined for the cell selection module.

Table 20: strategy

Cell	RSRP Index	RSRQ Index	Score/click-through rate	Inhibition grade
					Cell A	Good grade (good)	Good grade (good)	90 minutes	-0dbm～-3dbm
Cell B	Difference of difference	Difference of difference	70 minutes	-10dbm～-20dbm
					Cell C	Excellent (excellent)	Excellent (excellent)	100 minutes	-0dbm

Alternatively, the above-mentioned suppression strategy may be replaced by an enhancement strategy, see in particular the description above.

S509, the cell selection module sends the determined strategy to the modem. Assuming that the policy is the table 16, the cell selection module may send the table to the modem.

Optionally, before the cell selection module sends the policy to the modem, it may determine whether a specific condition is satisfied, if so, the policy is sent, otherwise, the policy is not sent. Wherein the specific condition includes at least one of:

determining that the current scene matches the corresponding relationship such as the scene in table 14; or alternatively, the process may be performed,

the sum of QoE statistics times is larger than a threshold value; the sum of the QoE statistics times is the sum of the historical cartoon accumulation times, the historical fluency accumulation times and the historical general accumulation times; or alternatively, the process may be performed,

Accumulating the number of days over a certain number of days, wherein; the cumulative days can be seen from the description of 1.3 in example 1 above.

S510, the modem suppresses the corresponding cell based on the execution policy. It may be understood that if the policy determined in S508 is a suppression policy, the measurement result of the cell is suppressed, and if the policy determined in S508 is an enhancement policy, the measurement result of the cell is enhanced. Taking the suppression policy as an example, the Modem can detect the measurement results of cell a, cell B and cell C. After the modem receives the policy, 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 suppresses the measurement result of cell C based on the suppression level of cell C (the suppression procedure can be seen in example 2), resulting in the suppressed measurement results of cell a, cell B and cell C, such as table 17 above.

S511, the modem selects a target cell. I.e. the modem selects the target cell based on the suppressed measurements of cell a, cell B and cell C, see description of embodiment 2 above for specific details.

It should be noted that, steps S508 to S510 are optional steps, and since the terminal device may directly send the scoring result corresponding to the cell to the modem after performing step S507, step "the cell selection module sends the scoring result corresponding to the cell to the modem" may be used instead of steps S508 to S510, in which case, selecting the target cell by the modem in S511 may refer to selecting the target cell based on the scoring result corresponding to the second cell, for example, selecting which cell has the highest scoring result, without suppressing the measurement result of the cell.

S512, the modem sends a notification to the cell selection module indicating policy enforcement. Step S512 is an optional step and may not be performed.

In some embodiments, the terminal device may monitor the cell change during the T time, and if the changed cell is not in the learning result, execute the fast evaluation policy on the changed cell to determine whether to cancel the policy. Wherein the time slice length > T >0, the time slice length is the time period in the foregoing embodiment 1. For example, 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 inhibition strategy) is canceled. The poor evaluation result of the changed cell includes: the score or the blocking rate of the changed cell is larger than a threshold or higher than the cell before the change; indicating poor QoE of the cell after handover, the suppression strategy may be cancelled. See in particular S513 to S518 below.

S513, the cell selection module judges whether the serving cell changes, if so, S514 is executed, and if not, S513 is executed continuously. The service cell of the terminal equipment changes in real time, so that the change condition of the service cell can be detected.

S514, the cell selection module determines whether the changed cell is in the policy, if not, S515 is executed, and if yes, S515 is executed. There is a case where the serving cell of the terminal device changes from cell a to cell D, but cell D does not exist in the above-described policy, and taking the above-described table 16 as an example, the policy includes learning results of cell a, cell B, and cell C, but does not include learning results of cell D (e.g., the terminal device does not learn QoE of cell D, and thus does not learn results of cell D in the above-described policy), at this time, the terminal device may execute the fast evaluation policy, that is, S516.

S515, the cell selection module sends a notification message for continuing executing the strategy to the Modem.

S515 is an optional step, and may or may not be performed, e.g., when the modem does not receive notification to cancel the policy, it defaults to continue to perform the policy, in which case S515 may not be performed.

S516, the cell selection module executes a rapid evaluation strategy. The implementation process of the rapid evaluation policy may be referred to in embodiment 2, and the description thereof is not repeated here.

S517, the cell selection module judges whether the evaluation result of the changed cell is lower than a threshold or lower than the cell before the change. If yes, S518 is performed, otherwise S513 is performed. Wherein the evaluation result comprises a score or a click-through rate; thus, the evaluation result of the changed cell is lower than the threshold or lower than the cell before the change, including: determining that the score of the changed cell is lower than a threshold or lower than the score of the cell A through a rapid evaluation strategy; or determining that the click-through rate of the changed cell is higher than the threshold or higher than the click-through rate of the cell A through a rapid evaluation strategy. It should be understood that the evaluation result may include a fluency rate in addition to the score or the click-through rate, so that the evaluation result of the changed cell is lower than the threshold or lower than the cell before the change, and may further include: the fluency rate of the cell after the change is lower than the threshold or lower than the fluency rate of the cell before the change.

S518, the cell selection module sends a notification to the modem indicating to cancel the policy.

Continuing with the previous example, the serving cell of the terminal device changes from cell a to cell D, but cell D is not present in the above strategy. If the evaluation result (such as the score or the click-through rate) of the cell D is lower than the threshold or lower than the cell a, if the modem continues to execute the policy, the measurement results of the cells a to C are inhibited all the time, and if the terminal device selects the target cell based on the inhibited measurement results, the terminal device cannot recover to the cells a to C as soon as possible, so that the cell selection module notifies the modem to cancel the execution of the policy.

It should be noted that, if the policy determined in S508 is "enhancement policy", the above scheme may be replaced by: the cell selection module may cancel the enhancement policy when it determines that the evaluation result of the changed cell is higher than the threshold or higher than the cell before the change, because if the QoE of the changed cell is better, if the enhancement policy is continuously executed, the cell is selected based on the measurement result after the enhancement, and possibly the cell is switched to another cell, so as to avoid this, the enhancement policy may be canceled. Wherein the evaluation result of the changed cell is higher than the threshold or higher than the cell before the change, comprising: the fraction of the changed cell is higher than the threshold or higher than the fraction of the cell before the change, or the click-through rate of the changed cell is lower than the threshold or lower than the cell before the change, or the fluency rate of the changed cell is higher than the threshold or higher than the fluency rate of the cell before the change.

It will be appreciated that after step S518, other steps may be included, such as the modem canceling the execution of the policy, and of course, the modem may also send a notification to the cell selection module that the policy has been canceled, and so on.

In some embodiments, a cell whose evaluation result is lower than the threshold value may be referred to as a black cell, where a black cell may be understood as a cell to which the terminal device does not handover, and may be understood as a blacklisted cell. Wherein, the cells with the evaluation result lower than the threshold value comprise: cells with scores below a threshold, a stuck rate above a threshold, or a fluency below a threshold.

Example 6

Referring to fig. 5, this embodiment differs from the embodiment shown in fig. 4 in that the cell selection module in fig. 4 is integrated in the modem, i.e. the functions of the cell selection module are 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.

Referring to fig. 5, the process includes:

s601, the modem detects cell information.

S602, the cell evaluation module evaluates the QoE of the cell to obtain a scoring result and sends the scoring result to the modem. Wherein S602 includes S602a and S602b.

S603, the scene recognition module performs scene recognition and sends a scene recognition result to the cell selection module. Wherein 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 corresponding relation among the scene, the cell information and the scoring result of the cell.

S605, the scene recognition module performs scene recognition and sends a scene recognition result to the modem. S605 includes S605a and S605b.

S606, the modem detects cell information.

S607, the modem determines a plurality of cells corresponding to the scene in the corresponding relation, and determines scoring results corresponding to the cells.

S608, the modem determines a strategy based on the scoring result.

S609, the modem suppresses the corresponding cell based on the policy.

S610, the modem selects a target cell.

Steps S608 to S609 are optional steps, and the terminal device may directly execute S610 after executing step S607, in which case, selecting the target cell by the modem in S610 may refer to selecting the target cell based on the scoring result corresponding to the cell, for example, selecting which cell with the highest scoring result, without suppressing the cell policy result.

S611, the modem determines whether the serving cell has changed, if so, step S612 is executed, and if not, step S611 is continued.

S612, the modem determines whether the changed cell is in the policy, and if not, performs step S613, and if so, performs S609 or S610.

S613, the modem executes the rapid assessment policy.

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 so, S615 is executed, and if not, S611 is executed.

S615, the modem cancels the execution of the policy.

Example 7

The data transmission between two devices is layer-by-layer, for example, taking the example that the protocol layer of the device a includes four layers: an application (app) layer, a transport layer such as a transmission control protocol (transmission control protocol, TCP) layer, a network layer, a data link layer, and a process of transmitting data by the device a includes: the data of the application layer in the device a is sent to a Transmission (TCP) layer, sent to a network layer through the TCP layer, sent to a data link layer through the network layer, and finally sent out through the data link layer. The process of device a receiving data includes: the data is received through the data link layer, transferred to the network layer, then transferred to the TCP layer, and finally transferred to the application layer.

In the foregoing embodiment 1, the evaluation index of QoE of a cell includes a delay, a transmission rate, and the like, and the delay may be, for example, a delay of an application layer, a delay of a TCP layer, a delay of a network layer, or a delay of a data link layer. The time delay of the application layer may refer to the time of the data from the application layer of the transmitting end to the application layer of the receiving end; or, refer to the time of data from the sender application layer to the receiver application layer, and then add the time of data from the receiver application layer to the sender application layer. Taking the time delay of the TCP layer as an example, the time delay of the TCP layer may refer to the time from the TCP layer of the transmitting end to the TCP layer of the receiving end, or refer to the time from the TCP layer of the transmitting 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 transmitting end.

Referring to fig. 6, a schematic flow chart of a cell selection method according to an embodiment of the present application is shown, where the flow chart includes:

s701a, the application layer or the TCP layer sends the first information to the cell evaluation module.

The first information may include delay, transmission rate, etc., where the delay may be delay of an application layer or delay of a TCP layer; the transmission rate may be the transmission rate of the application layer or the transmission rate of the TCP layer. The first information may be used to evaluate the QoE of the cell.

Step S701a is an optional step, since the terminal device may also evaluate the QoE of the cell by the delay, transmission rate, etc. of the data link layer.

S701b, the modem sends the cell information to the cell evaluation module. The cell information is information of a serving cell of the terminal device. Optionally, the modem may also send the delay, the transmission rate, etc. detected by the modem to the cell evaluation module, where the delay, the transmission rate of the data transmission link layer may be included.

S702, the cell evaluation module evaluates the cells to obtain the scoring result of the cells.

Wherein the cell evaluation module may evaluate the cell based on the first information. For example, if the time delay in the first information is lower, the first information is evaluated as stuck, and if the time delay is higher, the first information is evaluated as fluent. And/or when the delay and the transmission rate detected by the modem are included in S701b, the cell may be further evaluated based on the delay and the transmission information in S701b, for example, if the delay is low, the cell is evaluated as a stuck cell, and if the delay is high, the cell is evaluated as a fluent cell.

S703, the cell evaluation module performs scene recognition to obtain a scene recognition result.

S704, the cell evaluation module establishes a corresponding relation among the scene, the cell information and the scoring result of the cell.

The above-described S701 to S704 may be understood as a learning stage of the terminal device, so S701 to S704 may be performed a plurality of times, such as each time, an evaluation result of one cell may be detected. Therefore, the terminal equipment can obtain the scoring results of a plurality of cells in different scenes.

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 delay of an application layer or delay of a TCP layer; the transmission rate may be the transmission rate of the application layer or the transmission rate of the TCP layer.

S705b, the cell evaluation module receives cell information from the modem, where the cell information may include information of a serving cell or information of a neighboring cell; optionally, S705b may further include a delay and a transmission rate detected by the modem, where the delay and the transmission rate of the data transmission link layer may be included.

It should be noted that step S705a is an optional step, since the second information is the delay, transmission rate, etc. of the use phase, and the delay, transmission rate, etc. of the learning phase of S701a, the second information is the history information with respect to the first information, and the third information is the current information, so that if S705a is performed, the terminal device may perform the comprehensive evaluation based on the history information and the current information (see the process of determining the comprehensive evaluation result based on the current day evaluation result and the history evaluation result in the foregoing embodiment 1), of course, it is also possible if S705a is not performed.

S706, the cell evaluation module performs scene recognition to obtain a scene recognition result.

S707, the cell evaluation module determines a plurality of cells corresponding to the scene in the corresponding relation, and determines scoring results corresponding to the cells.

S708, the cell evaluation module determines a policy based on the scoring result.

S709, the cell evaluation module sends the policy to the modem.

S710, the modem suppresses the corresponding cell based on the policy.

S711 modem selects the target cell.

S712, the modem sends a notification to the cell evaluation module indicating policy enforcement.

S713, the modem determines whether the serving cell has changed, and if so, step S714 is performed, and if not, step S713 is continued.

S714, the modem determines whether the changed cell is in the policy, if not, step S715 is executed, and if yes, S715 is executed.

S715, the cell evaluation module sends a notification of continuing to execute the policy to the modem.

S716, the modem executes the fast evaluation strategy.

S717, the modem determines whether the evaluation result of the cell after the change is lower than the threshold or lower than the cell before the change, and if so, S718 is executed, and if not, S713 is executed.

S718, the cell evaluation module sends a notification to the modem indicating to cancel the policy.

Example 7

This embodiment differs from the embodiment shown in fig. 6 in that the cell selection module is integrated in the modem, i.e. the functionality of the cell selection module is implemented by the modem in the embodiment shown in fig. 6.

Referring to fig. 7, a schematic flow chart of a cell selection method according to an embodiment of the present application is shown, where the flow chart includes:

s801, the application layer or TCP layer sends the first information to the modem.

S802, the modem detects cell information.

S803, the modem evaluates the cells to obtain the scoring result of the cells.

S804, the modem performs scene recognition to obtain a scene recognition result.

S805, the modem establishes a corresponding relation among the scene, the cell information and the scoring result of the cell.

S806, the application layer or TCP layer sends the second information to the modem.

S807, the modem detects cell information.

S808, the modem performs scene recognition to obtain a scene recognition result.

S809, the modem determines scoring results of a plurality of cells corresponding to the scene in the corresponding relation.

S810, the modem determines a strategy based on the scoring result.

S811, the modem suppresses the corresponding cell based on the policy.

S812, the modem selects a target cell.

S813, the modem determines whether the serving cell has changed, and if so, step S814 is performed, and if not, step S813 is performed continuously.

S814, the modem determines whether the changed cell is in the policy, and if not, performs step S815, and if so, performs S811 or S812.

S815, the modem executes a fast evaluation strategy.

S816, 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, S817 is performed, and if no, S813 is performed.

S817, the modem cancels the execution of the policy.

The terminal device provided by the embodiment of the application is described below.

Fig. 8 is a schematic diagram of a structure of a terminal device. As shown in fig. 8, the terminal device may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (universal serial bus, USB) interface 130, a charge management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2, a mobile communication module 150, a wireless communication module 160, an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, a sensor module 180, a key 190, a motor 191, an indicator 192, a camera 193, a display 194, a subscriber identity module (subscriber identification module, SIM) card interface 195, and the like.

The processor 110 may include one or more processing units, such as: the processor 110 may include an application processor (application processor, AP), a modem (modem), a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), a controller, a memory, a video codec, a digital signal processor (digital signal processor, DSP), a baseband processor, and/or a neural network processor (neural-network processing unit, NPU), etc. Wherein the different processing units may be separate devices or may be integrated in one or more processors. The controller can be a neural center and a command center of the terminal equipment. The controller can generate operation control signals according to the instruction operation codes and the time sequence signals to finish the control of instruction fetching and instruction execution. A memory may also be provided in the processor 110 for storing instructions and data. In some embodiments, the memory in the processor 110 is a cache memory. The memory may hold instructions or data that the processor 110 has just used or recycled. If the processor 110 needs to reuse the instruction or data, it can be called directly from the memory. Repeated accesses are avoided and the latency of the processor 110 is reduced, thereby improving the efficiency of the system.

In some embodiments, processor 110 integrates an application processor and a modem (modem), the functions of which are described with reference to fig. 4-7.

The USB interface 130 is an interface conforming to the USB standard specification, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, or the like. The USB interface 130 may be used to connect a charger to charge a terminal device, or may be used to transfer data between the terminal device and a peripheral device. The charge management module 140 is configured to receive a charge input from a charger. The power management module 141 is used for connecting the battery 142, and the charge 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 provides power to the processor 110, the internal memory 121, the external memory, the display 194, the camera 193, the wireless communication module 160, and the like.

The wireless communication function of the terminal device may be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, a modem processor, a baseband processor, and the like. The antennas 1 and 2 are used for transmitting and receiving electromagnetic wave signals. Each antenna in the terminal device may be used to cover a single or multiple communication bands. Different antennas may also be multiplexed to improve the utilization of the antennas. For example: the antenna 1 may be multiplexed into a diversity antenna of a wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 150 may provide a solution including wireless communication of 2G/3G/4G/5G or the like applied to a terminal device. The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (low noise amplifier, LNA), etc. The mobile communication module 150 may receive electromagnetic waves from the antenna 1, perform processes such as filtering, amplifying, and the like on the received electromagnetic waves, and transmit the processed electromagnetic waves to the modem processor for demodulation. The mobile communication module 150 can amplify the signal modulated by the modem processor, and convert the signal into electromagnetic waves through the antenna 1 to radiate. In some embodiments, at least some of the functional modules of the mobile communication module 150 may be disposed in the processor 110. In some embodiments, at least some of the functional modules of the mobile communication module 150 may be provided in the same device as at least some of the modules of the processor 110.

The wireless communication module 160 may provide solutions for wireless communication including wireless local area network (wireless local area networks, WLAN) (e.g., wireless fidelity (wireless fidelity, wi-Fi) network), bluetooth (BT), global navigation satellite system (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field wireless communication technology (near field communication, NFC), infrared technology (IR), etc. applied on the terminal device. The wireless communication module 160 may be one or more devices that integrate at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2, modulates the electromagnetic wave signals, filters the electromagnetic wave signals, and transmits the processed signals to the processor 110. The wireless communication module 160 may also receive a signal to be transmitted from the processor 110, frequency modulate it, amplify it, and convert it to electromagnetic waves for radiation via the antenna 2.

In some embodiments, the antenna 1 of the terminal device is coupled to the mobile communication module 150 and the antenna 2 is coupled to 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 techniques may include the Global System for Mobile communications (global system for mobile communications, GSM), general packet radio service (general packet radio service, GPRS), code division multiple access (code division multiple access, CDMA), wideband code division multiple access (wideband code division multiple access, WCDMA), time division code division multiple access (time-division code division multiple access, TD-SCDMA), long term evolution (long term evolution, LTE), BT, GNSS, WLAN, NFC, FM, and/or IR techniques, among others. The GNSS may include a global satellite positioning system (global positioning system, GPS), a global navigation satellite system (global navigation satellite system, GLONASS), a beidou satellite navigation system (beidou navigation satellite system, BDS), a quasi zenith satellite system (quasi-zenith satellite system, QZSS) and/or a satellite based augmentation system (satellite based augmentation systems, SBAS).

The display 194 is used to display a display interface of an application, such as a viewfinder interface of a camera application, or the like. The display 194 includes a display panel. The display panel may employ a liquid crystal display (liquid crystal display, LCD), an organic light-emitting diode (OLED), an active-matrix organic light-emitting diode (AMOLED) or an active-matrix organic light-emitting diode (matrix organic light emitting diode), a flexible light-emitting diode (flex), a mini, a Micro led, a Micro-OLED, a quantum dot light-emitting diode (quantum dot light emitting diodes, QLED), or the like. In some embodiments, the terminal device may include 1 or N display screens 194, N being a positive integer greater than 1.

The terminal device may implement photographing functions through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.

The ISP is used to process data fed back by the camera 193. For example, when photographing, the shutter is opened, light is transmitted to the camera photosensitive element through the lens, the optical signal is converted into an electric signal, and the camera photosensitive element transmits the electric signal to the ISP for processing and is converted into an image visible to naked eyes. ISP can also optimize the noise, brightness and skin color of the image. The ISP can also optimize parameters such as exposure, color temperature and the like of a shooting scene. In some embodiments, the ISP may be provided in the camera 193.

The camera 193 is used to capture still images or video. The object generates an optical image through the lens and projects the optical image onto the photosensitive element. The photosensitive element may be a charge coupled device (charge coupled device, CCD) or a Complementary Metal Oxide Semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, which is then transferred to the ISP to be converted into a digital image signal. The ISP outputs the digital image signal to the DSP for processing. The DSP converts the digital image signal into an image signal in a standard RGB, YUV, or the like format.

In the embodiment of the present application, the terminal device may include N cameras 193 (for example, array cameras), where N is an integer greater than or equal to 2.

The digital signal processor is used for processing digital signals, and can process other digital signals besides digital image signals. For example, when the terminal device selects a frequency bin, the digital signal processor is used to fourier transform the frequency bin energy, etc.

Video codecs are used to compress or decompress digital video. The terminal device may support one or more video codecs. In this way, the terminal device may play or record video in multiple encoding formats, for example: dynamic picture experts group (moving picture experts group, MPEG) 1, MPEG2, MPEG3, MPEG4, etc.

The NPU is a neural-network (NN) computing processor, and can rapidly process input information by referencing a biological neural network structure, for example, referencing a transmission mode between human brain neurons, and can also continuously perform self-learning. Applications such as intelligent cognition of terminal equipment can be realized through NPU, for example: image recognition, face recognition, speech recognition, text understanding, etc.

The internal memory 121 may be used to store computer executable program code including instructions. The processor 110 executes various functional applications of the terminal device and data processing by executing 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 may store an operating system, and software code of at least one application program (e.g., an aiqi application, a WeChat application, etc.), etc. The storage data area may store data (e.g., photographed images, recorded videos, etc.) generated during use of the terminal device, etc. In addition, the internal memory 121 may include a high-speed random access memory, and may further include a nonvolatile memory such as at least one magnetic disk storage device, a flash memory device, a universal flash memory (universal flash storage, UFS), and the like.

The external memory interface 120 may be used to connect an external memory card, such as a Micro SD card, to realize expansion of the memory capability of the terminal device. The external memory card communicates with the processor 110 through an external memory interface 120 to implement data storage functions. For example, files such as pictures and videos are stored in an external memory card.

The internal memory 121 or the external memory may store one or more computer programs, which comprise instructions that, when executed by the processor 110, cause the terminal device to perform the methods as provided in fig. 3-7.

The terminal device may implement audio functions through an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, an application processor, and the like. Such as music playing, 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 sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, an ambient light sensor 180L, a bone conduction sensor 180M, and the like.

The pressure sensor 180A is used to sense a pressure signal, and may convert the pressure signal into an electrical signal. In some embodiments, the pressure sensor 180A may be disposed on the display screen 194. The gyro sensor 180B may be used to determine the body posture of the terminal device. In some embodiments, the angular velocity of the terminal device about three axes (i.e., x, y, and z axes) may be determined by the gyro sensor 180B.

The air pressure sensor 180C is used to measure air pressure. In some embodiments, the terminal device calculates altitude from barometric pressure values measured by barometric pressure sensor 180C, aiding in positioning and navigation. The magnetic sensor 180D includes a hall sensor. The terminal device may detect the opening and closing of the flip cover using the magnetic sensor 180D. In some embodiments, when the terminal device is a flip machine, the terminal device may detect the opening and closing of the flip according to the magnetic sensor 180D. And then according to the detected opening and closing state of the leather sheath or the opening and closing state of the flip, the characteristics of automatic unlocking of the flip and the like are set. The acceleration sensor 180E may detect the magnitude of acceleration of the terminal device in various directions (typically three axes). The magnitude and direction of gravity can be detected when the terminal device is stationary. The method can also be used for identifying the gesture of the terminal equipment, and is applied to the applications such as horizontal and vertical screen switching, pedometers and the like.

A distance sensor 180F for measuring a distance. The terminal device may measure the distance by infrared or laser. In some embodiments, the terminal device may range using the distance sensor 180F 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 outwards through the light emitting diode. The terminal device detects infrared reflected light from nearby objects using a photodiode. When sufficient reflected light is detected, it can be determined that there is an object in the vicinity of the terminal device. When insufficient reflected light is detected, the terminal device may determine that there is no object in the vicinity of 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 for communication, so as to automatically extinguish the screen to achieve the purpose of saving electricity. The proximity light sensor 180G may also be used in holster mode, pocket mode to automatically unlock and lock the screen.

The ambient light sensor 180L is used to sense ambient light level. The terminal device may adaptively adjust the brightness of the display 194 based on the perceived ambient light level. The ambient light sensor 180L may also be used to automatically adjust white balance when taking a photograph. The ambient light sensor 180L may also cooperate with the proximity light sensor 180G to detect if the terminal device is in a pocket to prevent false touches. The fingerprint sensor 180H is used to collect a fingerprint. The terminal equipment can utilize the collected fingerprint characteristics to realize fingerprint unlocking, access the application lock, fingerprint photographing, fingerprint incoming call answering and the like.

The temperature sensor 180J is for detecting temperature. In some embodiments, the terminal device performs a temperature processing strategy using the temperature detected by temperature sensor 180J. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold, the terminal device performs a reduction in performance of a processor located near the temperature sensor 180J in order to reduce power consumption for implementing thermal protection. In other embodiments, the terminal device heats the battery 142 when the temperature is below another threshold to avoid the terminal device from being abnormally shut down due to low temperatures. In other embodiments, when the temperature is below a further threshold, the terminal device performs boosting of the output voltage of the battery 142 to avoid abnormal shutdown caused by low temperatures.

The touch sensor 180K, also referred to as a "touch panel". The touch sensor 180K may be disposed on the display screen 194, and the touch sensor 180K and the display screen 194 form a touch screen, which is also called a "touch screen". The touch sensor 180K is for detecting a touch operation acting thereon or thereabout. The touch sensor may communicate the detected touch operation to the application processor to determine the touch event type. Visual output related to touch operations may be provided through the display 194. In other embodiments, the touch sensor 180K may also be disposed on the surface of the terminal device at a different location than the display 194.

The bone conduction sensor 180M may acquire a vibration signal. In some embodiments, bone conduction sensor 180M may acquire a vibration signal of a human vocal tract vibrating bone pieces. The bone conduction sensor 180M may also contact the pulse of the human body to receive the blood pressure pulsation signal.

The keys 190 include a power-on key, a volume key, etc. The keys 190 may be mechanical keys. Or may be a touch key. The terminal device may receive key inputs, generating key signal inputs related to user settings of the terminal device and function control. The motor 191 may generate a vibration cue. The motor 191 may be used for incoming call vibration alerting as well as for touch vibration feedback. For example, touch operations acting on different applications (e.g., photographing, audio playing, etc.) may correspond to different vibration feedback effects. The touch vibration feedback effect may also support customization. The indicator 192 may be an indicator light, may be used to indicate a state of charge, a change in charge, a message indicating a missed call, a notification, etc. The SIM card interface 195 is used to connect a SIM card. The SIM card may be contacted and separated from the terminal device by inserting the SIM card interface 195 or extracting it from the SIM card interface 195.

It will be appreciated that the components shown in fig. 8 do not constitute a specific limitation on the terminal device, and that the handset may also include more or less components than shown, or may combine certain components, or split certain components, or may have a different arrangement of components. In addition, the combination/connection relationship between the components in fig. 8 is also adjustable and modifiable.

When the flow shown in fig. 4 is applied to the terminal device shown in fig. 8, 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 an application processor and a modem, and one or more of the scene device module, the cell evaluation module, and the cell selection module may be integrated in the application processor or the modem. Alternatively, the processor 110 is a generic term for a plurality of processors in the terminal device, and the scenario device module, the cell evaluation module, and the cell selection module may be integrated in the same processor or different processors among the plurality of processors. The plurality of processors include, for example, an application processor, a modem (modem), a neural network processor, and the like.

When the flow shown in fig. 5 is applied to the terminal device shown in fig. 8, 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, and then one or more of the scene device module, the cell evaluation module, and the like may be integrated in the application processor or modem. Alternatively, the processor 110 is a generic term for a plurality of processors in the terminal device, and the scenario device module and the cell evaluation module may be integrated in the same processor or different processors among the plurality of processors. The plurality of processors include, for example, an application processor, a modem (modem), a neural network processor, and the like.

When the flow shown in fig. 6 is applied to the terminal device shown in fig. 8, 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 may integrate an application processor and a modem, and then one or more of the application layer/TCP layer, and the cell evaluation module may be integrated in the application processor or modem, e.g., the application layer/TCP layer may be integrated in the modem, and the cell evaluation module may be integrated in the application processor. Alternatively, the processor 110 is a generic term for multiple processors in the terminal device, and the application layer/TCP layer, cell evaluation module may be integrated in the same processor or in different processors of the multiple processors. The plurality of processors include, for example, an application processor, a modem (modem), a neural network processor, and the like.

When the flow shown in fig. 7 is applied to the terminal device shown in fig. 8, the application layer/TCP layer may be integrated in the processor 110; for example, the processor 110 integrates an application processor and a modem, and then the application layer/TCP layer is integrated in the application processor or modem.

Fig. 9 is a hierarchical block diagram of an electronic device according to an embodiment of the present application. As shown in fig. 9, the structure of the electronic device may be a layered architecture, for example, may be divided into several layers, each layer having a clear role and division of labor. The layers communicate with each other through a software interface. In some embodiments, the system is divided into five layers, namely an application layer (application layer for short), an application framework layer (FWK), a hardware abstraction layer (hardware abstraction layer, HAL), a kernel layer and a hardware layer from top to bottom.

The application layer may include a series of application packages. Fig. 9 illustrates only a camera, gallery, instant messaging application, etc., and may actually include many more applications, for example, settings, skin modules, user Interfaces (UIs), calendars, conversations, maps, navigation, WLANs, bluetooth, music, video, etc. The instant messaging application may include applications such as smooth connection and short message termination.

The application framework layer provides an application programming interface (application programming interface, API) and programming framework for application programs of the application layer. The application framework layer may include some predefined functions.

As shown in fig. 9, the framework layer includes a scene recognition module, a cell evaluation module, a cell selection module, and the like. The function of the scene recognition module is shown in the flow of the scene recognition module in the embodiment shown in fig. 4 to 5. The function of the cell evaluation module is seen in the flow of the cell evaluation module in the embodiments shown in fig. 4 to 6. The function of the cell selection module is seen in the flow of the cell selection module in the embodiment shown in fig. 4.

It should be appreciated that other modules may also be included in the framework layer, such as a window management service (window manager service, WMS), content provider, view system, phone manager, resource manager, notification manager, etc. The WMS is used for managing windows, and specifically includes establishment of windows, adjustment of positions or sizes of windows, closing of windows, and the like. The window manager is used for managing window programs. The window manager can acquire the size of the display screen, judge whether a status bar exists, lock the screen, intercept the screen and the like. The content provider is used to store and retrieve data and make such data accessible to applications. The data may include video, images, audio, calls made and received, browsing history and bookmarks, phonebooks, etc. The view system includes visual controls, such as controls to display text, controls to display pictures, and the like. The view system may be used to build applications. The display interface may be composed of one or more views. For example, a display interface including a text message notification icon may include a view displaying text and a view displaying a picture. The telephony manager is for providing communication functions of the electronic device. Such as the management of call status (including on, hung-up, etc.). The resource manager provides various resources for the application program, such as localization strings, icons, pictures, layout files, video files, and the like. The notification manager allows the application to display notification information in a status bar, can be used to communicate notification type messages, can automatically disappear after a short dwell, and does not require user interaction. Such as notification manager is used to inform that the download is complete, message alerts, etc. The notification manager may also be a notification in the form of a chart or scroll bar text that appears on the system top status bar, such as a notification of a background running application, or a notification that appears on the screen in the form of a dialog window. For example, a text message is prompted in a status bar, a prompt tone is emitted, the electronic device vibrates, and an indicator light blinks, etc.

The kernel layer is a layer between hardware and software. The kernel layer shown in fig. 9 includes protocol layers such as TCP and IP, where the functions of the TCP layer are referred to as the flow of the TCP layer in the embodiments shown in fig. 6 to 7. Of course, the kernel layer may also include input device drivers, display drivers, including camera drivers, audio drivers, sensor drivers, and the like.

The hardware layer includes an application processor (application processor, AP), and a modem;

an application processor for performing a related procedure of determining a historical QoE of a cell. For example, the application processor is configured to obtain a historical QoE of the cell. For example, the application processor may integrate the scene recognition module and the cell evaluation module, and the specific functions are described above.

The modem is used for execution, cell measurement, suppression or enhancement of cell measurement results, cell selection, etc. For example, a cell selection module may be integrated in the modem, and specific functions are described above.

For example, the application processor sends the historical QoE of the cell to the modem; the modem selects a cell based on its historical QoE. The cell selection procedure of the modem includes case 1 and case 2 in embodiment 2, and a detailed description is not repeated here.

It will be appreciated that the software architecture shown in fig. 9 does not constitute a specific limitation on the software architecture of the electronic device, and may include more or fewer layers than in fig. 3, for example, and embodiments of the present application are not limited.

Reference in the specification to "one embodiment" or "some embodiments" or the like means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," and the like in the specification are not necessarily all referring to the same embodiment, but mean "one or more but not all embodiments" unless expressly specified otherwise. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.

Furthermore, as used in the above embodiments, the term "when …" or "after …" may be interpreted to mean "if …" or "after …" or "in response to determination …" or "in response to detection …" depending on the context. Similarly, the phrase "at the time of determination …" or "if detected (a stated condition or event)" may be interpreted to mean "if determined …" or "in response to determination …" or "at the time of detection (a stated condition or event)" or "in response to detection (a stated condition or event)" depending on the context. In addition, in the above-described embodiments, relational terms such as first and second are used to distinguish one entity from another entity without limiting any actual relationship or order between the entities.

In the embodiments provided in the present application, the method provided in the embodiments of the present application is described from the point of view that the terminal device (for example, a mobile phone) is used as the execution body. In order to implement the functions in the method provided in the embodiment of the present application, the terminal device may include a hardware structure and/or a software module, and implement the functions in the form of a hardware structure, a software module, or a hardware structure plus a software module. Some of the functions described above are performed in a hardware configuration, a software module, or a combination of hardware and software modules, depending on the specific application of the solution and design constraints.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present invention, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). 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, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), etc. The schemes of the above embodiments may be used in combination without conflict.

It is noted that a portion of this patent document contains material which is subject to copyright protection. The copyright owner has reserved copyright rights, except for making copies of patent documents or recorded patent document content of the patent office.

Claims

1. A method of cell selection, comprising:

the method comprises the steps that a terminal device detects a plurality of cells and obtains a first measurement result of each cell in the plurality of cells, wherein the first measurement result comprises Reference Signal Received Power (RSRP) and/or Reference Signal Received Quality (RSRQ);

the terminal equipment acquires historical quality of experience QoE of each of N cells, wherein 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 historically within each cell and at different time periods, different reference signal received powers RSRP and/or reference signal received quality RSRQ;

the terminal equipment selects a first cell from the cells based on the historical QoE;

the terminal equipment resides in the first cell;

the terminal device selects a first cell from the plurality of cells based on the historical QoE, including:

The terminal equipment acquires the historical QoE of each corresponding cell in the N cells according to the current time period and the first measurement result of each cell in the N cells;

the terminal equipment respectively inhibits or enhances the first measurement result of each cell in the N cells based on the historical QoE of each cell in the N cells to obtain a second measurement result;

the terminal device selects the first cell among the plurality of cells based on the second measurement result.

2. The method of claim 1, wherein the method further comprises:

the N cells are all cells of the plurality of cells;

the first cell is a cell with the highest second measurement result or a cell with the second measurement result larger than a threshold value in the N cells.

3. The method of claim 1, wherein the method further comprises:

the N cells are part of the plurality of cells;

the first cell is the cell with the highest measurement result or the measurement result larger than a threshold value in the second measurement results of the N cells and the first measurement results of the rest cells; and the rest cells are cells except the N cells in the cells.

4. A method according to claim 2 or 3, wherein the terminal device suppresses or enhances the first measurement result of each of the N cells according to the obtained historical QoE of each of the N cells, respectively, to obtain a second measurement result, and the method comprises:

determining an evaluation result of the historical QoE of each of the N cells, the evaluation result characterizing an evaluation of network performance of a cell based on the network usage experience of that cell when the terminal device is historically connected to each of the N cells;

and suppressing or enhancing the first measurement result of each cell in the N cells based on the evaluation result to obtain the second measurement result.

5. The method of claim 4, wherein suppressing or enhancing the first measurement for each of the N cells based on the evaluation results, results in the second measurement, comprising:

determining the inhibition intensity or the enhancement intensity corresponding to the evaluation result;

and suppressing or enhancing the first measurement result of each of the N cells based on the suppression intensity or enhancement intensity.

6. The method of any one of claims 3-5, wherein the method further comprises:

The terminal equipment judges whether the first cell has a historical QoE evaluation result, and evaluates the network performance of the first cell to obtain an evaluation result if the first cell does not have the historical QoE evaluation result;

if the evaluation result meets the condition, the terminal equipment continues to reside in the first cell;

if the evaluation result does not meet the condition, canceling the inhibition of the first measurement results of the N cells;

selecting a second cell based on the first measurement results of the N cells and the third measurement results of the remaining cells, wherein the serving cell of the terminal equipment is changed from the first cell to the second cell; and the rest cells are cells except the N cells in the cells.

7. The method of claim 6, wherein the evaluation result satisfies a condition, comprising:

The evaluation result indicates that the network performance of the first cell is higher than the network performance of a plurality of adjacent cells; or alternatively, the process may be performed,

8. A method according to any of claims 4-7, characterized in that the higher the evaluation of the historical QoE, the lower the suppression strength for the cell, or the greater the enhancement strength for the cell.

9. The method according to any of claims 1-8, wherein the terminal device obtains a historical quality of experience, qoE, for each of the N cells, comprising:

an application processor in the terminal equipment acquires historical QoE of each cell in the N cells;

wherein the historical QoE of each cell is an evaluation of network performance of the cell based on the network usage experience of the cell after the terminal device historically connects to the each cell.

10. The method of claim 9, wherein the terminal device selects a first cell among the plurality of cells based on the historical QoE, comprising:

the application processor sends the historical QoE of each cell in the N cells to a modem in the terminal equipment; to select, by the modem, a first cell among the plurality of cells based on the historical QoE.

11. The method of claim 10, wherein the N cells are all of the plurality of cells, the modem is further configured to obtain a first measurement result of each of the N cells, obtain a historical QoE of each of the N cells according to a current time period and the first measurement result of each of the N cells, and suppress or enhance the first measurement result of each of the N cells according to the obtained historical QoE of each of the N cells, respectively, to obtain a second measurement result;

the modem selects a first cell among the plurality of cells based on the historical QoE, including:

and determining the cell with the highest second measurement result or the cell with the second measurement result larger than a threshold value in the N cells as the first cell.

12. The method of claim 10, wherein the N cells are part of the cells, wherein the modem is further configured to obtain a first measurement result for each of the cells, obtain a historical QoE for each of the N cells based on the current time period and the first measurement result for each of the N cells, and suppress or enhance the first measurement result for each of the N cells based on the obtained historical QoE for each of the N cells to obtain a second measurement result;

determining a cell with the highest measurement result or the measurement result larger than a threshold value in the second measurement results of the N cells and the first measurement results of the rest cells as the first cell; and the rest cells are cells except the N cells in the cells.

13. The method of claim 1, wherein,

the first cell is the cell with the best historical QoE in the N cells; or alternatively, the process may be performed,

14. The method of claim 13, wherein the historical QoE comprises a historical fluency rate and/or a historical click through rate; the cell with the best historical QoE is the cell with the highest historical fluency rate and/or the cell with the lowest historical cartoon rate; the historical fluency rate is the probability of network fluency when the terminal equipment is historically connected with the cell; the historical jamming rate is the probability of network jamming when the terminal equipment is historically connected with an upper cell;

Or alternatively, the process may be performed,

the historical QoE comprises a historical QoE evaluation result, wherein the cell with the best historical QoE is the cell with the highest historical QoE evaluation result or the cell with the historical QoE evaluation result higher than a threshold value, and the historical QoE evaluation result is the evaluation of network performance of the cell based on network use experience of the cell after the terminal equipment is connected with the cell in a historical manner.

15. The method according to any of claims 1-14, wherein the terminal device detects that the location of the plurality of cells is a first location;

the terminal device, after selecting a first cell from the plurality of cells based on the historical QoE, further includes:

controlling the terminal equipment to switch to a default mode; the terminal equipment selects a target cell based on a first measurement result of the cell in the default mode, wherein the first measurement result comprises RSRQ and/or RSRP;

when the terminal equipment arrives at the first place again, the terminal equipment selects a third cell in the default mode; the third cell is different from the first cell.

16. The method of claim 15, wherein the third cell is different from the first cell, comprising: the RSRQ and/or RSRP of the first cell is lower than the third cell, and the QoE of the first cell is higher than the third cell.

17. The method of any of claims 1-16, wherein before the terminal device obtains historical QoE for N cells of the plurality of cells, the method further comprises:

determining that the signal strength of the serving cell is below a threshold; or alternatively, the process may be performed,

it is determined that the current time reaches a specific time.

18. The method according to any one of claims 1-17, wherein a corresponding relation among a scene, a time period, a cell and a historical QoE of the cell is stored in the terminal device, and the N cells are cells matched with a current time period and a current scene in the corresponding relation;

the terminal device, based on the historical QoE, further includes, before selecting a first cell from the plurality of cells: determining that the historical QoE statistics times of the N cells are larger than preset times; or determining that the statistical accumulated days of the historical QoE of the N cells are greater than a preset number of days.

19. The method of claim 4, wherein the historical QoE evaluation results satisfy:

20. A method according to any of claims 1-19, characterized in that the first cell is different from a fourth cell, which is the strongest RSRP and/or RSRQ of a plurality of neighbors of a fifth cell, which is the serving cell before the terminal device connects to the first cell.

21. A terminal device, comprising: an application processor AP and a modem;

the modem is configured to detect a plurality of cells and obtain a first measurement result of each cell in the plurality of cells, where the first measurement result includes a reference signal received power RSRP and/or a reference signal received quality RSRQ;

the AP is configured to obtain a historical quality of experience QoE of each of N cells and send the historical QoE to the modem, where the N cells are all or part of the plurality of cells; n is a positive integer; the historical QoE is used to characterize the network usage experience of the terminal device historically within each cell and at different time periods, different reference signal received powers RSRP and/or reference signal received quality RSRQ;

the modem is further configured to connect to the first cell;

the modem is configured to, when selecting a first cell from the plurality of cells based on the historical QoE, specifically: acquiring a historical QoE of each corresponding N cells according to the current time period and a first measurement result of each cell in the N cells; based on the historical QoE of each cell in the N cells, respectively inhibiting or enhancing the first measurement result of each cell in the N cells to obtain a second measurement result; the first cell is selected among the plurality of cells based on the second measurement result.

22. The terminal device of claim 21, wherein the N cells are all of the plurality of cells;

23. The terminal device of claim 21, wherein the N cells are part of the plurality of cells;

24. The terminal device of claim 22 or 23, wherein the AP, when configured to obtain a historical quality of experience QoE for each of the N cells, is configured to:

the modem is specifically used for: and suppressing or enhancing the first measurement result of each cell in the N cells based on the evaluation result to obtain the second measurement result.

25. The terminal device of claim 24, wherein the modem is specifically configured to:

26. The terminal device according to any of the claims 21-22, wherein the AP is further configured to:

judging whether the first cell has a historical QoE evaluation result, and if not, evaluating the network performance of the first cell to obtain an evaluation result;

notifying the modem to cancel suppression of the first measurement results of the N cells if the evaluation results do not meet the conditions; so that the modem selects a second cell based on the first measurement results of the N cells and the third measurement results of the remaining cells, and switches from the first cell to the second cell; and the rest cells are cells except the N cells in the cells.

27. The terminal device of claim 26, wherein the evaluation result satisfies a condition, comprising:

28. A computer readable storage medium comprising instructions which, when run on an electronic device, cause the electronic device to perform the method of any of claims 1-20.

29. A chip, characterized in that the chip is coupled to a memory in an electronic device for invoking a computer program stored in the memory for performing the method according to any of claims 1-20.

30. A terminal device, comprising: at least one processor coupled to the memory, the at least one processor configured to execute instructions stored in the memory to cause the terminal device to perform the method of any of claims 1-20.