WO2024007720A1 - Procédé de commutation de dispositif terminal, station de base, dispositif électronique et support de stockage - Google Patents

Procédé de commutation de dispositif terminal, station de base, dispositif électronique et support de stockage Download PDF

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Publication number
WO2024007720A1
WO2024007720A1 PCT/CN2023/092792 CN2023092792W WO2024007720A1 WO 2024007720 A1 WO2024007720 A1 WO 2024007720A1 CN 2023092792 W CN2023092792 W CN 2023092792W WO 2024007720 A1 WO2024007720 A1 WO 2024007720A1
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WIPO (PCT)
Prior art keywords
grid
base station
terminal device
terminal
cell
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PCT/CN2023/092792
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English (en)
Chinese (zh)
Inventor
李日安
姬舒平
孙英
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中兴通讯股份有限公司
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Publication of WO2024007720A1 publication Critical patent/WO2024007720A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0055—Transmission or use of information for re-establishing the radio link
    • H04W36/0061—Transmission or use of information for re-establishing the radio link of neighbour cell information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/0085—Hand-off measurements
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/08—Reselecting an access point

Definitions

  • the present application relates to the field of information processing technology, and in particular to a terminal equipment switching method, a base station, electronic equipment and a storage medium.
  • UE User Equipment
  • the base station will have the same serving cell and the same frequency Terminals in neighboring cells, and such terminals have similar RSRP (Reference Signal Receiving Power, reference signal receiving power) are divided into the same grid. If the UE needs to perform inter-frequency or inter-system handover, the base station queries the virtual grid where the current UE is located.
  • RSRP Reference Signal Receiving Power, reference signal receiving power
  • the target cell with the strongest RSRP is not the target cell with the best user perception experience.
  • the target cell with the strongest RSRP cannot fully reflect the situation of the wireless link. Therefore, the optimal target cell cannot be selected for the user. .
  • Embodiments of the present application provide a terminal device switching method, a base station, an electronic device, and a storage medium.
  • embodiments of the present application provide a switching method for a terminal device, which is applied to a first base station.
  • the first base station obtains the serving cell of the terminal device through signal coverage.
  • the method includes: The community constructs multiple first grids; determines first grid information corresponding to the first grid according to the first grid, wherein the first grid information is used to characterize where the terminal device is located.
  • the communication quality in the first grid sending a measurement request to the neighboring cell of the serving cell to receive the second grid information corresponding to the second grid in the neighboring cell, the second grid is provided by the second base station It is constructed for the neighboring cell; when receiving the handover request sent by the terminal device, determining the second grid corresponding to the first grid according to the handover request; when the second grid corresponding to the second grid is The second grid information is better than the first grid information corresponding to the first grid, and the terminal device is switched from the first grid to the second grid.
  • embodiments of the present application provide a switching method for a terminal device, which is applied to a second base station.
  • the second base station obtains multiple cells through signal coverage, and at least one cell in the second base station serves as the first cell.
  • a neighboring cell of the serving cell of the base station, the second base station constructs a plurality of second grids for the neighboring cells, and the method includes: determining a third grid corresponding to the second grid according to the second grid.
  • Second grid information receiving a measurement request sent by the first base station, and sending the second grid information to the first base station according to the measurement request.
  • embodiments of the present application provide a base station, including: a memory, a processor, and a base station stored in the memory and A computer program that can be run on a processor.
  • the processor executes the computer program, the switching method of a terminal device as described in the first aspect is implemented.
  • embodiments of the present application provide an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the computer program, the following is implemented: The switching method of terminal equipment described in one aspect.
  • embodiments of the present application provide a computer-readable storage medium that stores a computer-executable program, and the computer-executable program is used to cause a computer to execute the method described in the first aspect. Terminal device switching method.
  • Figure 1 is a schematic diagram of a network architecture for performing a switching method of a terminal device provided by an embodiment of the present application
  • Figure 2 is a flow chart of a terminal device switching method provided by an embodiment of the present application.
  • Figure 3 is a flow chart of a terminal device switching method provided by another embodiment of the present application.
  • Figure 4 is a flow chart of a terminal device switching method provided by another embodiment of the present application.
  • Figure 5 is a flow chart for obtaining network performance index values provided by an embodiment of the present application.
  • Figure 6 is a flow chart for obtaining network performance index values provided by another embodiment of the present application.
  • Figure 7 is a flow chart for obtaining perceived service indicator values provided by an embodiment of the present application.
  • Figure 8 is a flow chart for obtaining perceived service indicator values provided by another embodiment of the present application.
  • Figure 9 is a flow chart of a terminal device switching method provided by an embodiment of the present application.
  • Figure 10 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.
  • Embodiments of the present application provide a switching method for a terminal device, a base station, an electronic device and a storage medium.
  • multiple first grids are constructed for the first base station to obtain the service cells of the terminal equipment through signal coverage, and according to the first grid determine the first grid information corresponding to the first grid, thereby obtaining the communication quality of the terminal device in the first grid, and then send a measurement request to the neighboring cell of the serving cell, and receive the second grid corresponding to the neighboring cell the second grid information to realize the first grid information
  • Information interaction between the information and the second grid information facilitates the subsequent establishment of the corresponding relationship between the first grid and the second grid.
  • the second grid corresponding to the first grid is determined according to the switching request.
  • the terminal device is switched from the first grid to the second grid, so that the optimal switching cell can be selected for the user, so that the communication quality after the user switches is improved.
  • Figure 1 is a schematic diagram of a network architecture for performing a switching method of a terminal device provided by an embodiment of the present application.
  • the network architecture 100 includes, but is not limited to, a first base station 200 , a second base station 300 and a terminal device 400 .
  • multiple first grids are constructed for the first base station 200 to obtain service cells of the terminal device 400 through signal coverage, and the second base station 300 also obtains multiple cells through signal coverage. At least one of the second base stations 300 A cell serves as a neighboring cell of the serving cell of the first base station 200, and multiple second grids are constructed for the neighboring cells.
  • the first base station 200 first determines the first grid information corresponding to the first grid based on the first grid. , the user can determine the communication quality of the terminal device 400 in the first grid through the first grid information, and then compare the switching threshold set by the first base station 200 with the grid power in the first grid information. When the first The grid power in the grid is greater than the handover threshold.
  • the first base station 200 sends a measurement request to the neighboring cell of the serving cell, that is, the second base station 300, to receive the second grid information corresponding to the second grid in the neighboring cell, thereby Realize the interaction of grid information between the first base station 200 corresponding to the serving cell and the second base station 300 corresponding to the neighboring cell, and when receiving the handover request sent by the terminal device 400, determine the base station corresponding to the first grid according to the handover request.
  • second grid thus establishing the corresponding relationship between the first grid where the terminal device 400 is located in the current cell (i.e., the serving cell) and the second grid where the target cell (i.e., the neighboring cell) is located.
  • the second grid information corresponding to the second grid is better than the first grid information corresponding to the first grid, indicating that the communication quality of the second grid is higher than the communication quality of the first grid, then the terminal device 400 is changed from the first grid to the first grid.
  • the grid switching value is the second grid, which implements switching of the terminal device 400, and obtains the communication quality of the first grid and the second grid through the first grid information and the second grid information, thereby improving the communication quality of the serving cell and neighboring cells. Perception of the community.
  • first base station 200 and the second base station 300 can set a certain period to continue collecting and learning.
  • Figure 2 is a flow chart of a terminal equipment switching method provided by an embodiment of the present application.
  • the terminal equipment switching method is applied to but not limited to the first base station of the system architecture, including but not limited to steps S100-S500.
  • the first base station obtains the serving cell of the terminal device through signal coverage.
  • Step S100 Construct multiple first grids for the serving cell
  • the first base station can cover multiple cells through signals, select the cell where the terminal device is located as the serving cell, and the first grid can be obtained by dividing the serving cells according to the preset area or preset row and column conditions, for example , divide the service area into 50 square meters and 80 square meters to obtain multiple first grids; or evenly divide the service area into three rows and three columns, five rows and six columns, etc.
  • This embodiment does not impose specific restrictions.
  • the process of constructing grids based on serving cells includes networks of different standards and different frequency bands. For example: constructing grids for all cells of TDD NR (Time Division Duplex New Radio, dual-channel new radio), and constructing grids for FDD A grid is constructed for all cells of NR (Frequency Division Duplexing New Radio), or a grid is constructed for all cells of LTE (Long Term Evolution).
  • TDD NR Time Division Duplex New Radio, dual-channel new radio
  • FDD FDD
  • a grid is constructed for all cells of NR (Frequency Division Duplexing New Radio)
  • LTE Long Term Evolution
  • Step S200 Determine the first grid information corresponding to the first grid according to the first grid
  • the first grid information is used to characterize the communication quality of the terminal device in the first grid.
  • Step S300 Send a measurement request to the neighboring cell of the serving cell to receive the second grid information corresponding to the second grid in the neighboring cell;
  • the second grid is constructed by the second base station for the neighboring cell.
  • a measurement request is sent to a neighboring cell of the serving cell, and the second grid information corresponding to the second grid in the neighboring cell is received, thereby realizing the interaction of grid information of the serving cell and the neighboring cell to facilitate subsequent Determine the communication quality of the terminal device switching grid and realize the prediction of the communication quality of the target switching grid.
  • Step S400 When receiving the switching request sent by the terminal device, determine the second grid corresponding to the first grid according to the switching request;
  • a handover request sent by the terminal device when a handover request sent by the terminal device is received, it is possible to determine which first grid of the serving cell the terminal device is in according to the handover request, thereby determining the geographical location of the terminal device in the serving cell, and according to the handover request The request is to determine the second grid corresponding to the first grid, so that the correspondence between the first grid and the second grid can be established, which facilitates the judgment between the first grid information and the second grid information.
  • Step S500 When the second grid information corresponding to the second grid is better than the first grid information corresponding to the first grid, switch the terminal device from the first grid to the second grid.
  • the first grid information can be compared with the second grid information.
  • the second grid information corresponding to the second grid is better than the first grid
  • the corresponding first grid information indicates that the communication quality in the first grid is higher, and the terminal device is switched from the first grid to the second grid, thereby realizing switching of the terminal device.
  • a plurality of first grids are constructed for the serving cells of the terminal equipment obtained by the first base station through signal coverage, and the first grid information corresponding to the first grid is determined according to the first grid, as follows: This obtains the communication quality of the terminal device in the first grid, and then sends a measurement request to the neighboring cells of the serving cell, and receives the second grid information corresponding to the second grid in the neighboring cells, realizing the integration of the first grid information with the second grid.
  • the information exchange of grid information facilitates the subsequent establishment of the corresponding relationship between the first grid and the second grid.
  • the second grid corresponding to the first grid is determined according to the switching request, thereby The corresponding relationship between the first grid and the second grid is obtained to facilitate comparison of the first grid information and the second grid information.
  • the second grid information corresponding to the second grid is better than the first grid
  • the first grid information corresponding to the grid is used to switch the terminal device from the first grid to the second grid, so that the optimal switching cell can be selected for the user, so that the communication quality after the user switches is improved.
  • the first grid information includes grid power, neighbor cell information, and communication quality values, where the communication quality values include at least one of the following: a network performance indicator value; or a perceived service indicator value, where the perceived service The index value is used to represent the average value of the service quality index of the terminal device.
  • the grid power in the first grid information is the RSRP of the first grid
  • the neighboring cell information is the information of the cells adjacent to the serving cell
  • the communication quality value can be the network performance index value or the perceived service index. value, by determining the first grid information corresponding to the first grid, the communication quality of the serving cell can be accurately judged, thereby facilitating subsequent handover.
  • Figure 3 is a flow chart of a terminal device switching method provided by another embodiment of the present application, including but not limited to steps S600-S700.
  • Step S600 When the grid power of the first grid information is greater than the handover threshold of the first base station, send a measurement request to the neighboring cell;
  • Step S700 When the grid power of the first grid information is less than the switching threshold of the first base station, the terminal device continues to camp in the first grid.
  • the first base station is set with a handover threshold.
  • the grid power of the first grid information is greater than the handover threshold of the first base station, a measurement request is sent to the neighboring cell; when the grid power of the first grid information is less than the switching threshold of the first base station, the terminal equipment continues to reside in the first grid.
  • the base station needs to adjust the handover threshold by selecting UEs according to time or randomly, so that the terminal device can switch in advance or delay the handover.
  • This process is called the exploration process, and the exploration process can It is a periodic exploration, and can also be manually turned on or off according to the network management configuration. This embodiment does not impose specific restrictions.
  • Figure 4 is a flow chart of a terminal device switching method provided by another embodiment of the present application, including but not limited to step S800.
  • Step S800 When the first grid information corresponding to the first grid is better than the second grid information corresponding to the second grid, the terminal device continues to reside in the first grid.
  • the terminal device when it is determined that the first grid information corresponding to the first grid is better than the second grid information corresponding to the second grid, it means that the communication quality of the second grid is better than the communication quality of the first grid. If the error is poor, the terminal device will continue to reside in the first grid without switching the terminal device, thereby predicting the communication quality of the grid to which the terminal device will switch and improving the user's sense of use.
  • Figure 5 is a flow chart for obtaining network performance index values provided by an embodiment of the present application, including but not limited to steps S110-S120.
  • Step S110 Perform statistics on the key performance indicators of each first grid according to the preset time dimension and the preset terminal type dimension to obtain statistical results;
  • Step S120 average the statistical results to obtain network performance index values.
  • KPI Key Performance Indicator
  • the preset time dimension can be any time interval or specific time point, or a time period such as free time or busy time, for example, from 9 am to 12 am, from 1 pm to 2 pm, or on the 10th of every month.
  • Statistics, statistics every Wednesday, etc. the preset terminal type dimension can be a serial port terminal, a pseudo terminal or a physical terminal, etc. This embodiment does not impose specific restrictions.
  • the key performance indicators can be wireless access success rate, handover success rate, dropped call rate, uplink terminal throughput rate, downlink terminal throughput rate, average MCS (Modulation and Coding Scheme, modulation and coding strategy), RRC ( Indicators such as Radio Resource Control (Radio Resource Control) user connection number, uplink CQI (Continuous Quality Improvement, network continuous quality improvement) excellent rate or uplink noise floor increase are not specifically limited in this embodiment.
  • RRC Indicators such as Radio Resource Control (Radio Resource Control) user connection number, uplink CQI (Continuous Quality Improvement, network continuous quality improvement) excellent rate or uplink noise floor increase are not specifically limited in this embodiment.
  • Figure 6 is a flow chart for obtaining network performance index values provided by another embodiment of the present application, including but not limited to step S130.
  • Step S130 Train the preset network model according to the statistical results to obtain network performance index values.
  • the preset network model is trained according to the statistical results to obtain the network performance index value of the first grid, which is convenient for judging the communication quality of the first grid.
  • the network performance index value can also be obtained using machine learning methods, for example, using RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory, long short-term memory neural network), NN (Neural Network) , network neural network), linear regression and other methods, train the model feature value or feature vector of each KPI of each grid in different time dimensions and different terminal type dimensions, and each grid in different time dimensions and different terminal type dimensions.
  • RNN Recurrent Neural Network
  • LSTM Long Short-Term Memory, long short-term memory neural network
  • NN Neurological Network
  • linear regression and other methods train the model feature value or feature vector of each KPI of each grid in different time dimensions and different terminal type dimensions, and each grid in different time dimensions and different terminal type dimensions.
  • the eigenvalues or eigenvectors of indicators of different business classifications are used to obtain network performance indicator values.
  • the training data input when using machine learning methods to train the preset network model, must include the RSRP information of the two or more strongest neighboring cells measured by the current UE, and may also include but is not limited to The current cell's PRB (Physical Resource Block, physical resource block) utilization, RRC (Radio Resource Control, radio resource control) user number, noise floor and other information.
  • PRB Physical Resource Block, physical resource block
  • RRC Radio Resource Control, radio resource control
  • Information such as PRB utilization, number of RRC users, and noise floor require periodic transmission of the latest data between base stations.
  • the first base station can set a certain period to continue collecting and learning, and continuously update the characteristic values of KPI.
  • the number of RSRP information of the strongest neighboring cells measured by the current terminal equipment can be 2, 3 or 4, etc.
  • FIG. 7 is a flow chart for obtaining the perceived service indicator value provided by an embodiment of the present application, including but not limited to steps S210-S230.
  • Step S210 Sample the terminal devices in the first grid to obtain a statistical sample set
  • terminal devices in each first grid may be sampled, or a part of the terminal devices in the first grid may be randomly sampled as a statistical sample set, and this embodiment does not impose specific limitations.
  • Step S220 Classify the statistical sample set according to the preset time dimension and the preset terminal type dimension to obtain multiple sensing services
  • the statistical sample set is identified and classified according to the preset time dimension and the preset terminal type dimension to obtain multiple sensing services.
  • the sensing services of the terminal device can be classified into web pages, instant messaging, and social networking.
  • Media category, video category, application download category, VONR category Voice over New Radio, target voice solution for 5G network
  • VONR category Voice over New Radio, target voice solution for 5G network
  • the preset time dimension and the preset terminal type dimension in step S220 may be the same as or different from the preset time dimension and the preset terminal type dimension in step S110, that is, the preset time dimension may be any time interval. Or specific time points, for example, from 9 am to 12 am, from 1 pm to 2 pm, or on the 10th of every month, or every Wednesday, etc.
  • the default terminal type dimension can be serial port terminal, pseudo terminal or physical Terminal etc.
  • Step S230 average the index values of the sensing service to obtain the sensing service index value.
  • the index values of the classified sensing services are averaged to obtain the sensing service index values, thereby multi-dimensionally judging the network quality of the current terminal device.
  • web page indicators include web page response success rate. , web page response delay, etc.
  • Instant messaging indicators include message sending success rate, message receiving success rate, etc.
  • Video indicators include initial buffering delay, number of freezes, freeze recovery delay, etc., after recording the indicators of perceived services , and then calculate the average value of each perceived service indicator in different time dimensions and different terminal type dimensions of each raster, thereby obtaining the perceived service indicator value.
  • FIG. 8 is a flow chart for obtaining perceived service indicator values provided by another embodiment of the present application, including but not limited to step S250.
  • Step S250 Train the preset network model according to the index value of the sensing service to obtain the sensing service index value.
  • the perceived service indicator value can also be obtained by training a preset network model based on the perceived service indicator value.
  • the preset network model in step S250 and the preset network model in step S130 may be the same or different, and are not specifically limited in this embodiment.
  • machine learning methods can be used.
  • machine learning can be used, such as RNN, LSTM, NN, linear regression and other methods.
  • the same method can be used to classify other perception services. Perform the same training to obtain the corresponding feature value vector. If the exploration of the first base station does not stop and the samples continue to increase, for example, every time the number of samples increases by 10,000, the first base station will re-train and update the perceived service indicator values of different service types at hourly granularity.
  • Figure 9 is a flow chart of a switching method of a terminal device provided by an embodiment of the present application.
  • the switching method of the terminal device is applied to but not limited to the second base station of the system architecture, including but not limited to steps S310-S320.
  • the second base station obtains multiple cells through signal coverage, at least one cell in the second base station serves as an adjacent cell to the serving cell of the first base station, and the second base station constructs multiple second grids for the adjacent cells.
  • Step S310 Determine second grid information corresponding to the second grid according to the second grid
  • the second grid can be obtained by dividing the service area according to the preset area or the preset row and column conditions, for example, dividing the area according to 50 square meters and 80 square meters to obtain multiple second grids; or The cells are evenly divided according to three rows and three columns, five rows and six columns, etc. This embodiment does not impose specific restrictions.
  • the process of constructing rasters based on cells includes networks of different standards and different frequency bands. For example, constructing rasters for all cells of TDD NR, constructing rasters for all cells of FDD NR, or constructing rasters for all cells of LTE.
  • the community also constructs grids, etc.
  • Step S320 Receive the measurement request sent by the first base station, and send the second grid information to the first base station according to the measurement request.
  • the second base station determines the second grid information corresponding to the second grid based on the second grid, and receives the measurement request sent by the first base station, thereby sending the second grid to the first base station according to the measurement request.
  • the grid information realizes the information interaction between the grid information in the first base station and the grid information in the second base station, which facilitates the first base station to compare the first grid information with the second grid information, thereby deciding whether the terminal device has a fault. switch.
  • the first base station processes the information in the handover request, and then sends the processed request to the second base station, so that the second base station determines the connection with the terminal device according to the request.
  • the second grid corresponds to the first grid, and the second grid is sent to the first base station, thereby establishing a correspondence between the first grid and the second grid, which facilitates handover judgment by the first base station.
  • Example 1 is to determine whether to switch the terminal device based on the perceived service indicator value in the grid information
  • Step 1 Establish the corresponding relationship between grid and grid
  • the raster is constructed according to the entire multi-frequency network, including constructing the raster in all cells of TDD NR, constructing the raster in all cells of FDD NR, and also constructing the raster in all cells of LTE.
  • Let’s illustrate with four cells that are neighbors to each other: Base station A is a TDD NR base station, cell a is a cell in base station A, base station B is a TDD NR base station, cell b is a cell in base station B, base station C is an FDD NR base station, cell c is a cell in base station C, and base station D is an LTE base station, and cell d is a cell in base station D.
  • the terminal resides in grid A1 in serving cell a.
  • the handover threshold of base station A is -110dBm.
  • the current terminal measures that the RSRP of the serving cell is -100dBm, which is greater than the handover threshold.
  • the base station is in the exploration phase, the base station The terminal can be ordered to measure cell c. If the RSRP of cell c measured and reported by the terminal is within a certain tolerance range, the base station orders the terminal to switch to cell c.
  • base station A notifies base station C of the grid A1 where the terminal is currently located. The terminal After UE1 switches to cell c, the corresponding grid is C1. At this time, the corresponding relationship between grid C1 and grid A1 is established.
  • a terminal UE2 resides in grid A2 in serving cell a in base station A.
  • the base station is in the exploration phase.
  • the current terminal UE2 The measured RSRP of the serving cell is -120dBm, which is less than the base station's handover threshold.
  • the base station can allow terminal UE2 to continue to reside in grid A2.
  • base station A After the base station collects the corresponding data, base station A notifies UE2 to measure cell c. If the terminal measures And the reported RSRP of cell c is within a certain tolerance range, then the base station orders the terminal to switch to cell c.
  • base station A notifies base station C of the grid A2 where terminal UE2 is currently located.
  • the grid is C2.
  • the corresponding relationship between grid C2 and grid A2 is established.
  • Step 2 Taking grid C1 in step 1 as an example, according to the processing capabilities of the base station, during the exploration phase of the base station, randomly select some terminals in grid C1 as statistical samples, or use all terminals in grid C1 as samples. These samples are classified by time, such as 24 hours a day. If divided by hour granularity, they can be divided into 24 time granularities. It is further classified by terminal type. If the terminal type cannot be obtained, it does not need to be classified by terminal type. If there are insufficient training samples, it does not need to be classified by time. Whether to classify by time and terminal type can be configured in the background.
  • Step 3 Taking the grid C1 in the first step as an example, identify and classify the terminal samples in the grid C1 in the second step according to the perceived services.
  • the user's perceived services can be classified into web pages, instant messaging, and social networking.
  • Media categories, video categories, application download categories, and VONR categories can also be further subdivided into specific applications.
  • Step 4 Taking the grid C1 in the first step as an example, for each classified sensing business in the grid C1 in the third step, count the indicators of each category of sensing business according to the hourly granularity.
  • the web page indicators include web pages. Response success rate, web page response delay, etc.
  • Instant messaging indicators include message sending success rate, message reception success rate, etc.
  • Video indicators include initial buffering delay, number of freezes, freeze recovery delay, etc.
  • Step 5 Taking grid C1 in step 1 as an example, when the terminal statistical samples reach a certain threshold, for example, the statistical samples exceed 60,000, calculate the different business classifications of each grid in different time dimensions and different terminal type dimensions. the average value of the indicators.
  • Machine learning methods can also be used, for example, using RNN, LSTM, NN, linear regression and other methods, and based on the RSRP values of the three cells with the strongest signals measured by the UE and the latest PRB utilization passed between base stations, RRC users Number, noise floor and other information are used as the input
  • the training obtains the eigenvalue vector W of the service at the hourly granularity of raster C1.
  • the same training can be performed on other service classifications to obtain the corresponding eigenvalue vector. If the exploration of the base station does not stop and the samples continue to increase, for example, every time the number of samples increases by 10,000, the base station will re-train and update the indicator characteristic values of different service types at hourly granularity.
  • Step 6 Take grid C1 in step 1 as an example.
  • Grid C1 corresponds to base station C.
  • Base station C transfers the average value or model feature vector of the indicators of different service types of the grid in step 5 to base station A corresponding to Grid A1.
  • Step 7 After the base station completes the above steps and stops exploring, if the terminal is in grid A1, the base station searches for the average service indicator value corresponding to the time period and the service type and the terminal type in grid C1, or calculates it using the model feature vector. the result of.
  • the calculation method is to use the feature vector W passed from grid C1 and the RSRP values of the three cells with the strongest signals currently measured by the UE as the input X vector to obtain the output value. Use the same method to calculate the output value or find the index average value for the corresponding rasters in other neighboring areas. If there is a calculated service index value or the average index value is better than the current actual service index value, the base station will regard the target cell as a handover candidate cell. Calculation using machine learning methods or averaging methods can be configured through the background.
  • Example 2 is to determine whether to switch the terminal device based on the network performance index value in the raster information
  • Step 1 Establish the corresponding relationship between grid and grid
  • constructing a raster based on the entire multi-frequency network includes constructing a raster in all cells of TDD NR, constructing a raster in all cells of FDD NR, and also constructing a raster in all cells of LTE.
  • base station A is a TDD NR base station
  • cell a is a cell in base station A
  • base station B is a TDD NR base station
  • cell b is a cell in base station B
  • base station C is FDD NR.
  • Base station cell c is the cell in base station C
  • base station D is the LTE base station
  • cell d is the cell in base station D.
  • terminal UE1 resides in grid A1 in serving cell a.
  • the handover threshold of base station A is -110dBm.
  • the current terminal measures that the RSRP of the serving cell is -100dBm, which is greater than the handover threshold. If the base station is in the exploration phase, then The base station can order the terminal to measure cell c. If the RSRP of cell c measured and reported by the terminal is within a certain tolerance range, the base station orders the terminal to switch to cell c. At the same time, base station A notifies base station C of the grid A1 where the current terminal is located. After the terminal switches to cell c, the corresponding grid is C1. At this time, the corresponding relationship between grid C1 and grid A1 is established.
  • the corresponding relationship between grids in other neighboring cells and A1 can be continued to be established.
  • a terminal resides in grid A2 in serving cell a in base station A, and the base station is in the exploration stage.
  • the current terminal UE2 measures that the RSRP of the serving cell is -120dBm, which is already less than the handover threshold, then the base station can allow the terminal to continue to reside in grid A2.
  • base station A After the base station collects the corresponding data, base station A notifies the measuring cell c that if the terminal If the measured and reported RSRP of cell c is within a certain tolerance range, the base station orders the terminal to switch to cell c.
  • base station A notifies base station C of the grid A2 where the terminal is currently located.
  • the terminal switches to the corresponding grid of cell c. is C2.
  • the corresponding relationship between grid C2 and grid A2 is established.
  • Step 2 Taking grid C1 in step 1 as an example, according to the processing capabilities of the base station, in the exploration phase, some terminal UEs are randomly selected as statistical samples in grid C1, or all terminal UEs in grid C1 are used as samples. These samples are classified by time, for example, divided into time periods of 0-6 o'clock, 7-9 o'clock, 10-18 o'clock, 19-21 o'clock, and 22-24 o'clock. It is further classified by terminal type. If the terminal type cannot be obtained, it does not need to be classified by terminal type. If there are insufficient training samples, classification can not be performed by time. Whether to classify by time and terminal type can be configured in the background.
  • Step 3 Taking grid C1 in the first step as an example, calculate the wireless KPI of grid C1 according to different terminal types in different time periods for the terminal samples in step 2, such as wireless access success rate, handover success rate, KPIs such as call drop rate, spectrum efficiency, average MCS, number of RRC user connections, uplink CQI excellent rate, etc.
  • Step 4 Taking grid C1 in step 1 as an example, when the terminal statistical samples reach a certain threshold, for example, the statistical samples exceed 60,000, then calculate each KPI of each grid in different time dimensions and different terminal type dimensions. average of.
  • Machine learning methods can also be used, such as RNN, LSTM, NN, linear regression and other methods, such as the RSRP values of the three cells with the strongest signals measured by the UE and the latest PRB utilization passed between base stations, the number of RRC users , noise floor and other information,
  • the granularity is the eigenvalue vector W of the service. In the same way, the corresponding eigenvalue vector can be obtained by performing the same training on other business classifications. If the exploration of the base station does not stop and the samples continue to increase, for example, every time the number of samples increases by 10,000, the base station will re-train and update the indicator characteristic values of different service types at hourly granularity.
  • Step 5 Take grid C1 in step 1 as an example.
  • Grid C1 corresponds to base station C.
  • Base station C transfers the linear regression value of the KPI of grid C1 in step 4 to grid A1 corresponding to base station A.
  • Step 6 After the base station completes the above steps and stops exploring, if the terminal is in grid A1 and mainly performs downlink services, the base station searches for the KPI indicators corresponding to the time period, the service type and the terminal type in grid C1, such as downlink UE Throughput indicator average, or the result calculated using the model feature vector.
  • the calculation method is to use the feature vector W passed from grid C1 and the RSRP values of the three cells with the strongest signals currently measured by the UE or including the downlink PRB utilization, the number of RRC users, etc. as the input X vector to obtain the output value. Use the same method to calculate the output value or find the index average value for the corresponding rasters in other neighboring areas. If there is a calculated service index value or the average index value is better than the current actual service index value, the base station will regard the target cell as a handover candidate cell. Calculation using machine learning methods or averaging methods can be configured through the background.
  • an embodiment of the present application also provides a base station, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • a base station which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the computer program, the above terminal device is implemented. switching method.
  • the processor and memory may be connected via a bus or other means.
  • memory can be used to store non-transitory software programs and non-transitory computer executable programs.
  • the memory may include high-speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device.
  • the memory may include memory located remotely from the processor, and the remote memory may be connected to the processor through a network. Examples of the above-mentioned networks include but are not limited to the Internet, intranets, local area networks, mobile communication networks and combinations thereof.
  • the non-transient software programs and instructions required to implement the switching method of the terminal device in the above embodiment are stored in the memory. When executed by the processor, the switching method of the terminal device in the above embodiment is executed.
  • the processor and memory may be connected via a bus or other means.
  • memory can be used to store non-transitory software programs and non-transitory computer executable programs.
  • the memory may include high-speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device.
  • the memory may include memory located remotely from the processor, and the remote memory may be connected to the processor through a network. Examples of the above-mentioned networks include but are not limited to the Internet, intranets, local area networks, mobile communication networks and combinations thereof.
  • the non-transient software programs and instructions required to implement the switching method of the terminal device in the above embodiment are stored in the memory. When executed by the processor, the switching method of the terminal device in the above embodiment is executed.
  • an embodiment of the present application also provides an electronic device.
  • the electronic device includes: one or more processors and memories.
  • one processor and memory are taken as an example.
  • the processor and the memory can be connected through a bus or other means.
  • Figure 10 takes the connection through a bus as an example.
  • the memory can be used to store non-transitory software programs and non-transitory computer executable programs, such as the terminal device switching method in the above embodiments of the present application.
  • the processor is stored in the The non-transient software programs and programs in the memory are used to implement the switching method of the terminal device in the above embodiments of the present application.
  • embodiments of the present application also provide a computer-readable storage medium that stores a computer-executable program, and the computer-executable program is executed by one or more control processors, for example, as shown in FIG. 10 Execution by one of the processors may cause the one or more processors to execute the switching method of the terminal device in the embodiment of the present application.
  • the switching method of the terminal equipment has at least the following beneficial effects: First, multiple first grids are constructed for the first base station to obtain the serving cells of the terminal equipment through signal coverage, and the first grid is determined according to the first grid.
  • the first grid information corresponding to a grid is used to obtain the communication quality of the terminal device in the first grid, and then a measurement request is sent to the neighboring cell of the serving cell, and the second grid corresponding to the second grid in the neighboring cell is received.
  • grid information to realize the information interaction between the first grid information and the second grid information, so as to facilitate the subsequent establishment of the corresponding relationship between the first grid and the second grid.
  • the terminal device When receiving the switching request sent by the terminal device, determine the corresponding relationship between the first grid information and the second grid information according to the switching request.
  • the first grid corresponds to the second grid, thereby obtaining the corresponding relationship between the first grid and the second grid, which facilitates comparison of the first grid information and the second grid information.
  • the second grid is determined The corresponding second grid information is better than the first grid information corresponding to the first grid, and the terminal device is switched from the first grid to the second grid, so that the optimal switching cell can be selected for the user, allowing the user to switch Communication quality is improved afterwards.
  • a centralized management unit such as a central centralized management unit, a digital signal centralized management unit or a micro centralized management unit, or as hardware, or as an integrated circuit, Such as application specific integrated circuits.
  • Such software may be distributed on computer-readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media).
  • computer storage media includes volatile and nonvolatile media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data.
  • Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disk (DVD) or other optical disk storage, magnetic cassettes, tapes, disk storage or other magnetic storage devices, or may Any other medium used to store the desired information and that can be accessed by a computer.
  • communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente demande divulgue un procédé de commutation de dispositif terminal, une station de base, un dispositif électronique et un support de stockage, et est appliqué à une première station de base. La première station de base obtient une cellule de desserte d'un dispositif terminal au moyen d'une couverture de signal. Le procédé comprend les étapes consistant à : construire une pluralité de premières grilles pour une cellule de desserte (S100) ; selon les premières grilles, déterminer des premières informations de grille correspondant aux premières grilles (S200), les premières informations de grille étant utilisées pour représenter la qualité de communication d'un dispositif terminal dans les premières grilles ; envoyer une demande de mesure à une cellule voisine de la cellule de desserte pour recevoir des secondes informations de grille correspondant à des secondes grilles dans la cellule voisine (S300) ; lorsqu'une demande de commutation envoyée par le dispositif terminal est reçue, selon la demande de commutation, déterminer les secondes grilles correspondant aux premières grilles (S400) ; et lorsque les secondes informations de grille correspondant aux secondes grilles sont supérieures aux premières informations de grille correspondant aux premières grilles, commuter le dispositif terminal des premières grilles aux secondes grilles (S500).
PCT/CN2023/092792 2022-07-08 2023-05-08 Procédé de commutation de dispositif terminal, station de base, dispositif électronique et support de stockage WO2024007720A1 (fr)

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CN202210800399.6A CN117412338A (zh) 2022-07-08 2022-07-08 终端设备的切换方法、基站、电子设备及存储介质
CN202210800399.6 2022-07-08

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111093236A (zh) * 2019-11-08 2020-05-01 中兴通讯股份有限公司 一种信息发送、接收方法、装置、设备和存储介质
CN113133064A (zh) * 2019-12-30 2021-07-16 中兴通讯股份有限公司 一种切换方法及装置、存储介质、电子设备
CN113347696A (zh) * 2020-03-02 2021-09-03 华为技术服务有限公司 一种功率分配方法及装置
WO2022021078A1 (fr) * 2020-07-28 2022-02-03 Telefonaktiebolaget Lm Ericsson (Publ) Procédé et station de base pour transfert intercellulaire

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111093236A (zh) * 2019-11-08 2020-05-01 中兴通讯股份有限公司 一种信息发送、接收方法、装置、设备和存储介质
CN113133064A (zh) * 2019-12-30 2021-07-16 中兴通讯股份有限公司 一种切换方法及装置、存储介质、电子设备
CN113347696A (zh) * 2020-03-02 2021-09-03 华为技术服务有限公司 一种功率分配方法及装置
WO2022021078A1 (fr) * 2020-07-28 2022-02-03 Telefonaktiebolaget Lm Ericsson (Publ) Procédé et station de base pour transfert intercellulaire

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