Method, apparatus, network device and readable storage medium for configuring multi-carrier aggregation
By filtering target geographic grids and adjusting A5 event thresholds, the problem of reduced edge UE rates caused by increased cell load in the 700MHz band was resolved, improving network performance and user experience.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA MOBILE GROUP DESIGN INST
- Filing Date
- 2026-01-29
- Publication Date
- 2026-05-29
Smart Images
Figure CN122120843A_ABST
Abstract
Description
Technical Field
[0001] This application belongs to the field of wireless communication technology, specifically relating to a multi-carrier aggregation configuration method, apparatus, network device, and readable storage medium. Background Technology
[0002] To provide higher service speeds, the 3rd Generation Partnership Project (3GPP) Release 15 protocol proposed a requirement for New Radio (NR) users to support a maximum bandwidth of 1 GHz. For scenarios where operators may lack complete spectrum resources or where their spectrum exceeds the single-carrier bandwidth defined in the protocol, 3GPP introduced Carrier Aggregation (CA), which aggregates multiple consecutive or non-consecutive component carriers (CCs) into a larger bandwidth. 3CC carrier aggregation is a key technology in 5G-Advanced (5GA) networks.
[0003] In existing 3CC carrier aggregation scenarios, the 700MHz band has a lower priority than the 2.6GHz band, and the central UE will preferentially camp on the 2.6GHz band. However, if a 700MHz band cell meets the carrier aggregation conditions, it may also be added as a secondary carrier by the central UE, leading to an increase in the load on the 700MHz band cell. Due to resource constraints, this will reduce the rate of edge UEs in the 700MHz band cell. Summary of the Invention
[0004] The purpose of this application is to provide a multi-carrier aggregation configuration method, apparatus, network device, and readable storage medium that can solve the problem of reduced data rate for edge UEs.
[0005] In a first aspect, embodiments of this application provide a multi-carrier aggregation configuration method, the method comprising: selecting target geographic grids that meet preset conditions from the area covered by frequency bands supporting multi-carrier aggregation; for each cell in the target geographic grid, determining non-lightly loaded cells based on the downlink physical resource block (PRB) utilization rate of each cell in a target time period; wherein the downlink PRB utilization rate of the non-lightly loaded cells exceeds a first preset threshold; determining the proportion of the downlink low-rate interval of the non-lightly loaded cells in the target time period based on the downlink rate index of each user equipment (UE) in the non-lightly loaded cells in the target time period; wherein the target time period includes the time period after the non-lightly loaded cells enable the multi-carrier aggregation function and the time period before the non-lightly loaded cells enable the multi-carrier aggregation function; if the proportion of the downlink low-rate interval after the non-lightly loaded cells enable the multi-carrier aggregation function is greater than the proportion of the downlink low-rate interval before the non-lightly loaded cells enable the multi-carrier aggregation function, adjusting the threshold value for triggering an A5 event in the non-lightly loaded cells to a target value, wherein the target value is greater than the threshold value.
[0006] Secondly, embodiments of this application provide a multi-carrier aggregation configuration apparatus, comprising: a filtering module, configured to filter target geographic grids that meet preset conditions from the area covered by a frequency band supporting multi-carrier aggregation; a first determining module, configured to determine non-lightly loaded cells for each cell in the target geographic grid based on the downlink physical resource block (PRB) utilization rate of each cell in a target time period; wherein the downlink PRB utilization rate of the non-lightly loaded cells exceeds a first preset threshold; a second determining module, configured to determine the proportion of the downlink low-rate interval of the non-lightly loaded cells in the target time period based on the downlink rate index of each user equipment (UE) in the non-lightly loaded cells in the target time period; wherein the target time period includes the time period after the non-lightly loaded cells enable multi-carrier aggregation and the time period before the non-lightly loaded cells enable multi-carrier aggregation; and an adjustment module, configured to adjust the threshold value for triggering an A5 event in the non-lightly loaded cells to a target value when the proportion of the downlink low-rate interval after the non-lightly loaded cells enable multi-carrier aggregation is greater than the proportion of the downlink low-rate interval before the non-lightly loaded cells enable multi-carrier aggregation, wherein the target value is greater than the threshold value.
[0007] Thirdly, embodiments of this application provide a network device including a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the method described in the first aspect.
[0008] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect.
[0009] Fifthly, embodiments of this application provide a chip, the chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the steps of the method described in the first aspect.
[0010] In a sixth aspect, embodiments of this application provide a computer program product, the computer program product including a computer program stored on a non-transitory computer-readable storage medium, the computer program including a program or instructions, which, when executed, implement the steps of the method described in the first aspect.
[0011] In this embodiment of the application, target geographic grids that meet preset conditions are selected from the areas covered by frequency bands that support multi-carrier aggregation. For each cell in the target geographic grid, non-lightly loaded cells are determined based on the downlink physical resource block (PRB) utilization rate of each cell in the target time period. Then, based on the downlink rate indicators of each user equipment (UE) in the non-lightly loaded cell during the target time period, the proportion of the downlink low-rate interval in the non-lightly loaded cell during the target time period is determined. That is, the proportion of the downlink low-rate interval in the two time periods after the non-lightly loaded cell enables the multi-carrier aggregation function and before the non-lightly loaded cell enables the multi-carrier aggregation function. Based on the changes in the proportion of the downlink low-rate interval in these two time periods, it is determined whether the rate of each UE in the non-lightly loaded cell is affected. Therefore, if the proportion of the downlink low-rate interval after the non-lightly loaded cell enables the multi-carrier aggregation function is greater than the proportion of the downlink low-rate interval before the non-lightly loaded cell enables the multi-carrier aggregation function, the threshold value for triggering the A5 event in the non-lightly loaded cell is adjusted to a target value greater than the threshold value. This reduces the probability that the non-lightly loaded cell will be added as a secondary carrier, making it less susceptible to carrier aggregation, thereby improving the rate of edge UEs in the non-lightly loaded cell. Attached Figure Description
[0012] Figure 1 This is a schematic diagram of the coverage area of a 3CC frequency band co-location provided in an embodiment of this application; Figure 2 This is a flowchart illustrating a multi-carrier aggregation configuration method provided in an embodiment of this application; Figure 3 This is a bar chart showing the downlink PRB utilization rate of cells in different regions before and after enabling multi-carrier aggregation function, as provided in the embodiments of this application. Figure 4This is a flowchart illustrating another multi-carrier aggregation configuration method provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of a multi-carrier aggregation configuration device provided in an embodiment of this application; Figure 6 This is a schematic diagram of the structure of a network device provided in an embodiment of this application. Detailed Implementation
[0013] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.
[0014] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.
[0015] The multi-carrier aggregation configuration method, apparatus, network device, and readable storage medium provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios.
[0016] To facilitate understanding of the embodiments of this application, the terminology involved in the embodiments of this application will be briefly explained below.
[0017] 5G Measurement Report (MR) data refers to the measurement report data reported by User Equipment (UE) in the 5G network. It includes information such as the Reference Signal Receiving Power (RSRP), frequency point, and physical cell identifier of the UE in different cells, and is used to evaluate network coverage and performance.
[0018] 4G Minimization of Drive Tests (MDT) data refers to data such as UE location, signal quality, and handover events collected in the 4G network based on the MDT function, which is used to assist in the analysis of UE movement trajectory and network coverage.
[0019] A geographic grid refers to dividing a geographic area into several regular grid cells, each cell corresponding to a specific range of latitude and longitude, used for spatial analysis and statistics on network coverage, UE distribution, etc.
[0020] Physical Resource Block (PRB) utilization rate refers to the ratio of the number of PRBs actually used in a cell within a specific time period to the total number of available PRBs, and is used to measure the load status of the cell.
[0021] The primary cell (PCell) of 3CC carrier aggregation refers to the cell where the CA UE camps. The operation of the CA UE in this cell is no different from that in a single-carrier cell.
[0022] A secondary cell (SCell) is a cell that a base station configures for a carrier aggregation (CA) UE via Radio Resource Control (RRC) connection signaling. The SCC can provide more radio resources for the CA UE. A SCell can have only downlink or both uplink and downlink.
[0023] Correspondingly, the primary carrier (PCC) refers to the CC corresponding to the PCell; the secondary carrier (SCC) refers to the CC corresponding to the SCell.
[0024] An A5 event occurs when the signal quality of PCell falls below threshold 1 and the signal quality of SCell rises above threshold 2. In CA, threshold 1 for the A5 event is fixed at -31dBm, while threshold 2 is determined by the parameters CaA5RsrpThld2 (threshold value) and CaSccA5RsrpThld2Offset (offset).
[0025] The A5-2 threshold value refers to the parameter in the 3GPP protocol regarding the A5 event handover threshold. It is used to determine whether a cell is added as a secondary carrier to the UE's carrier aggregation configuration. The higher the value, the more difficult it is to trigger the addition of the secondary carrier, thereby suppressing its usage probability.
[0026] Because the 3CC frequency bands are different, the coverage areas of each band are also different. A schematic diagram of the co-located coverage areas of the various 3CC frequency bands is shown below. Figure 1As shown in Table 1, the 700MHz band has the largest coverage area, followed by the 2.6GHz band, while the 4.9GHz band has the smallest coverage area. In traditional optimization, the coverage area of different frequency bands is controlled by the priority of NR reselection frequency points, as shown in Table 1. The priority of the NR 700MHz band is lower than that of the 2.6GHz band. Therefore, for UEs located in the center of NR cells, they will preferentially camp on the 2.6GHz band, and only in areas with limited deep or wide coverage will they camp on the 700MHz band.
[0027] Table 1 NR Reselection Frequency Priority
[0028] Among them, the Evolved Universal Terrestrial Radio Access Network (EUTRAN) frequency reselection priority provides reselection priorities for some frequency points.
[0029] In existing 3CC carrier aggregation scenarios, the 700MHz band has a lower priority than the 2.6GHz band, and the central UE will preferentially camp on the 2.6GHz band. However, if a 700MHz band cell meets the carrier aggregation conditions, it may also be added as a secondary carrier by the central UE, leading to an increase in the load on the 700MHz band cell. Due to resource constraints, this will reduce the rate of edge UEs in the 700MHz band cell.
[0030] Based on this, embodiments of this application provide a multi-carrier aggregation configuration method, apparatus, network device, and readable storage medium, which can solve the problem of reduced data rate for edge UEs.
[0031] Figure 2 A flowchart illustrating a multi-carrier aggregation configuration method provided in an embodiment of this application is shown. This method can be executed by a network device. See also... Figure 2 The method may include the following steps.
[0032] Step 202: Select target geographic grids that meet preset conditions from the areas covered by frequency bands that support multi-carrier aggregation.
[0033] Among them, by analyzing the performance and geographical location of each cell in the area covered by the frequency band supporting multi-carrier aggregation, the micro-grid area with sufficient 5G signal strength and frequent services, i.e. the target geographical grid, is accurately located. The focus is on each cell in the target geographical grid, and then the UE rate of each cell in the target geographical grid is further analyzed.
[0034] Step 204: For each cell in the target geographic grid, determine the non-lightly loaded cells based on the downlink physical resource block (PRB) utilization rate of each cell in the target time period; wherein, the downlink PRB utilization rate of the non-lightly loaded cells exceeds a first preset threshold.
[0035] The target time period includes the time period after the non-lightly loaded cell enables the multi-carrier aggregation function and the time period before the non-lightly loaded cell enables the multi-carrier aggregation function.
[0036] Among them, non-lightly loaded cells are cells in the target geographic grid whose downlink PRB utilization exceeds the first preset threshold. The downlink PRB utilization exceeding the first preset threshold indicates that resource contention has occurred or is about to occur in non-lightly loaded cells, which will affect the rate of UEs, especially edge UEs.
[0037] Step 206: Determine the proportion of the downlink low rate range of the non-lightly loaded cell in the target time period based on the downlink rate index of each user equipment (UE) in the non-lightly loaded cell in the target time period; wherein, the target time period includes the time period after the non-lightly loaded cell enables the multi-carrier aggregation function and the time period before the non-lightly loaded cell enables the multi-carrier aggregation function.
[0038] The percentage of downlink low-rate intervals in non-lightly loaded cells is used to indicate the proportion of UEs in the cell that are at low rates over a period of time, thereby indicating the degree of rate degradation of the UEs.
[0039] Step 208: If the proportion of downlink low rate intervals after the multi-carrier aggregation function is enabled in the non-lightly loaded cell is greater than the proportion of downlink low rate intervals before the multi-carrier aggregation function is enabled in the non-lightly loaded cell, the threshold value for triggering the A5 event in the non-lightly loaded cell is adjusted to a target value, wherein the target value is greater than the threshold value.
[0040] In this embodiment of the application, target geographic grids that meet preset conditions are selected from the areas covered by frequency bands that support multi-carrier aggregation. For each cell in the target geographic grid, non-lightly loaded cells are determined based on the downlink physical resource block (PRB) utilization rate of each cell in the target time period. Then, based on the downlink rate indicators of each user equipment (UE) in the non-lightly loaded cell during the target time period, the proportion of the downlink low-rate interval in the non-lightly loaded cell during the target time period is determined. That is, the proportion of the downlink low-rate interval in the two time periods after the non-lightly loaded cell enables the multi-carrier aggregation function and before the non-lightly loaded cell enables the multi-carrier aggregation function. Based on the changes in the proportion of the downlink low-rate interval in these two time periods, it is determined whether the rate of each UE in the non-lightly loaded cell is affected. Therefore, if the proportion of the downlink low-rate interval after the non-lightly loaded cell enables the multi-carrier aggregation function is greater than the proportion of the downlink low-rate interval before the non-lightly loaded cell enables the multi-carrier aggregation function, the threshold value for triggering the A5 event in the non-lightly loaded cell is adjusted to a target value greater than the threshold value. This reduces the probability that the non-lightly loaded cell will be added as a secondary carrier, making it less susceptible to carrier aggregation, thereby improving the rate of edge UEs in the non-lightly loaded cell.
[0041] In one implementation, step 206 above, which determines the proportion of the downlink low rate range of the non-lightly loaded cell in the target time period based on the downlink rate index of each user equipment (UE) in the non-lightly loaded cell in the target time period, may include the following steps.
[0042] Step 2061: Based on the downlink rate index of each UE in the target time period and the preset downlink rate range, determine the number of downlink low rate ranges and the number of downlink non-low rate ranges of the non-lightly loaded cell in the target time period; wherein, the preset downlink rate range includes downlink low rate ranges and downlink non-low rate ranges.
[0043] The downlink rate of a UE within a certain period of time can be calculated by statistically analyzing the throughput and duration of the downlink radio link control (RLC) service data unit (SDU) carried by the UE's data radio bearer (DRB).
[0044] Table 2 provides an example preset rate range, which includes uplink rate and downlink rate.
[0045] Table 2.
[0046] Among them, intervals 0, 1, and 2 are defined as low-rate intervals, and the other intervals are defined as non-low-rate intervals.
[0047] Step 2062: Based on the number of downlink low-rate intervals and the number of downlink non-low-rate intervals of the non-lightly loaded cell in the target time period, determine the proportion of downlink low-rate intervals after the non-lightly loaded cell has enabled multi-carrier aggregation function and the proportion of downlink low-rate intervals before the non-lightly loaded cell has enabled multi-carrier aggregation function.
[0048] In some embodiments, the proportion of the downlink low-rate range can be determined using the following formula: .
[0049] Among them, intervals 0, 1, and 2 are downlink low-rate intervals.
[0050] In this embodiment, based on the preset downlink rate range and the downlink rate index of each UE in the target time period, the downlink rate range to which each UE belongs in the target time period is determined. After statistics, the number of downlink low rate ranges and the number of downlink non-low rate ranges of non-lightly loaded cells in the target time period can be determined. Then, based on the number of downlink low rate ranges and the number of downlink non-low rate ranges, the proportion of downlink low rate ranges can be determined. By separately counting the number of downlink low rate ranges after the multi-carrier aggregation function is enabled in non-lightly loaded cells and the number of downlink low rate ranges before the multi-carrier aggregation function is enabled in non-lightly loaded cells, the proportion of downlink low rate ranges after the multi-carrier aggregation function is enabled in non-lightly loaded cells and the proportion of downlink low rate ranges before the multi-carrier aggregation function is enabled in non-lightly loaded cells can be determined.
[0051] In one implementation, step 208 above, which adjusts the threshold value for triggering the A5 event in the non-lightly loaded cell to a target value, may include the following steps.
[0052] Step 2081: Determine the target value based on the downlink PRB utilization rate of the non-lightly loaded cell during the target time period and the location information of the non-lightly loaded cell.
[0053] The purpose of the target value is to reduce the probability of the non-lightly loaded cell being added as a secondary carrier and to raise the threshold for using the non-lightly loaded cell as a secondary carrier. The setting of the target value needs to be combined with the actual downlink PRB utilization rate of the non-lightly loaded cell and its location information so that the adjustment of the A5 threshold value of the non-lightly loaded cell can be coordinated with other cells in the target geographic grid to achieve the effect of optimizing performance.
[0054] Step 2082: Adjust the threshold value for triggering the A5 event in the non-lightly loaded cell to the target value.
[0055] Among them, the A5 event threshold values are different for different frequency bands, and the target values are not all the same, but they are higher than the threshold values.
[0056] In this embodiment of the application, the target value is determined based on the downlink PRB utilization rate of the non-lightly loaded cell in the target time period and the location information of the non-lightly loaded cell. The target value is greater than the threshold value. The threshold value for the non-lightly loaded cell to trigger the A5 event is adjusted to the target value, thereby raising the threshold for using the non-lightly loaded cell as a secondary carrier and enabling coordination with other cells to jointly optimize the network performance within the target geographical grid.
[0057] In one implementation, step 204 above, which determines non-lightly loaded cells based on the downlink physical resource block (PRB) utilization rate of each cell in the target time period, may include the following steps.
[0058] Step 2041: Obtain the total number of downlink PRBs available for each cell and the number of downlink PRBs available for each cell during the target time period.
[0059] The total number of downlink PRBs available in a cell is determined by the cell's configuration information, such as bandwidth and subcarrier spacing, which represents how many PRBs the cell can provide. The number of downlink PRBs available in a cell during the target time period is determined by the actual situation, which represents how many PRBs the cell actually uses.
[0060] Step 2042: Determine the downlink PRB utilization rate of each cell in the target time period based on the total number of downlink PRBs available in each cell and the number of downlink PRBs available in each cell in the target time period.
[0061] The downlink PRB utilization rate of the cell during the target time period includes the downlink PRB utilization rate after the cell has enabled multi-carrier aggregation and the downlink PRB utilization rate before the cell has enabled multi-carrier aggregation. Figure 3 As shown, Figure 3 This paper presents a bar chart showing the downlink PRB utilization rate of cells in different regions before and after enabling multi-carrier aggregation function, according to an embodiment of this application.
[0062] Step 2043: Cells whose downlink PRB utilization exceeds the first preset threshold during the target time period are identified as non-lightly loaded cells.
[0063] The first preset threshold defines the basic boundary between non-lightly loaded cells and lightly loaded cells, while the target time period introduces the impact of whether the cell has enabled multi-carrier aggregation function.
[0064] In this embodiment, by obtaining the total number of available downlink PRBs for each cell and the number of available downlink PRBs for each cell during the target time period, the downlink PRB utilization rate of each cell during the target time period is determined based on the total number of available downlink PRBs for each cell and the number of available downlink PRBs for each cell during the target time period. Cells whose downlink PRB utilization rate exceeds the first preset threshold during the target time period are identified as non-lightly loaded cells. This process considers both the limitation of the first preset threshold and the impact of whether the cell has enabled multi-carrier aggregation function to screen non-lightly loaded cells. These non-lightly loaded cells meet the limitation of the first preset threshold and also have improved downlink PRB utilization rate after enabling multi-carrier aggregation function. This accurately screens out non-lightly loaded cells where the UE's rate is at risk of being affected, providing a strong basis for subsequent parameter adjustments.
[0065] In one implementation, before step 202 above, which filters target geographic grids that meet preset conditions from the area covered by the frequency band supporting multi-carrier aggregation, the method may further include the following steps.
[0066] Step 2011: Obtain 5G measurement report (MR) data for the area covered by the frequency band supporting multi-carrier aggregation.
[0067] While 4G networks support coverage performance evaluation based on Multi-Targeting Theory (MDT), currently no commercially available UEs support 5G MDT functionality due to limitations in UE chips. Manufacturers primarily have concerns regarding insufficient compatibility testing, increased power consumption, and potential privacy breaches. Therefore, a method is employed to correlate 5G MR data with 4G MDT data to achieve 5G MDT functionality.
[0068] Step 2012: Associate the 5G MR data with the 4G Minimum Drive Test (MDT) data to generate 5G MR sampling points; wherein the 5G MR sampling points carry latitude and longitude information.
[0069] The 4G MDT data includes the fields: eNBid, ScRSRP, ScEarfcn, ScPCI, ScTadv, ScAOA, NcEarfcn, NcPCI, NcRSRP, and latitude and longitude information. The 5G MR data includes the fields: gNBid, ScRSRP, ScEarfcn, ScPCI, ScTadv, ScAOA, NcEarfcn, NcPCI, and NcRSRP. By associating engineering parameters and neighbor cell information, and utilizing the 4G / 5G co-location information table, 4G cells and 5G cells in the same sector are associated to generate 5G MR sampling points carrying latitude and longitude information.
[0070] Step 2013: Associate the 5G MR sampling points with each geographical grid in the area covered by the frequency band supporting multi-carrier aggregation, and obtain the reference signal received power (RSRP) of each cell in each geographical grid.
[0071] Among them, the 5G MR sampling points carry latitude and longitude information, and the area covered by the frequency band supporting multi-carrier aggregation can be divided into multiple geographic grids. By associating the two, the association between 5G cells and geographic grids can be obtained. Thus, the activity area, range and density of UEs in 5G cells can be accurately identified through geographic grids, providing a reliable basis for subsequent selection of target geographic grids that meet preset conditions.
[0072] In this embodiment, 5G Measurement Report (MR) data of the area covered by the frequency band supporting multi-carrier aggregation is obtained, and the 5G MR data is associated with 4G Minimum Drive Test (MDT) data to generate 5G MR sampling points. Each 5G MR sampling point carries latitude and longitude information. These 5G MR sampling points are then associated with various geographic grids within the area covered by the frequency band supporting multi-carrier aggregation. 4G MDT data is used to assist in positioning, compensating for the current 5G terminal's lack of MDT functionality and enabling 5G MDT functionality. Furthermore, the Reference Received Power (RSRP) of each cell in each geographic grid is obtained as the data basis for selecting target geographic grids.
[0073] In one implementation, based on the implementation of the 5G MDT function and the acquisition of the Reference Signal Received Power (RSRP) of each cell in each geographic grid, step 202 above, which selects target geographic grids that meet preset conditions from the area covered by the frequency band supporting multi-carrier aggregation, may include the following steps.
[0074] Step 2021: For each of the geographic gratings, determine the average RSRP of the geographic grating based on the RSRP of each cell.
[0075] Each geographic grid includes multiple cells, and the average RSRP, calculated from the RSRP of all cells within each geographic grid, measures the wireless signal strength of that geographic grid.
[0076] Step 2022: If the average RSRP of the geographic raster is greater than the second preset threshold and the number of 5GMR sampling points in the geographic raster is greater than the third preset threshold, the geographic raster is determined as the target geographic raster.
[0077] In this embodiment, by analyzing the average RSRP of each geographic grid and the number of 5G MR sampling points within each geographic grid, it is determined whether the average RSRP is greater than a second preset threshold and whether the number of 5G MR sampling points is greater than a third preset threshold. If the average RSRP is greater than the second preset threshold and the number of 5G MR sampling points is greater than the third preset threshold, the geographic grid is determined as the target geographic grid, that is, the area with more services is selected. In such areas, the rate of edge UEs in the cell is at greater risk of being affected, and further rate analysis and adjustment of the A5 event threshold are required to solve the problem of reduced edge UE rate.
[0078] In some embodiments of this application, the frequency bands supporting multi-carrier aggregation include: frequency band n28 with a bandwidth of 30MHz; frequency band n41 with a bandwidth of 100MHz; frequency band n41 with a bandwidth of 60MHz; and frequency band n79 with a bandwidth of 100MHz.
[0079] In some embodiments of this application, the frequency bands supporting multi-carrier aggregation include frequency bands supporting three-carrier aggregation; the combinations corresponding to the frequency bands supporting three-carrier aggregation include one of the following: (1) The bandwidth of frequency band n28 is 30MHz, the bandwidth of frequency band n41 is 100MHz and the bandwidth of frequency band n41 is 60MHz.
[0080] (2) The bandwidth of frequency band n28 is 30MHz, the bandwidth of frequency band n41 is 100MHz and the bandwidth of frequency band n79 is 100MHz.
[0081] (3) The bandwidth of the frequency band n41 is 100MHz, the bandwidth of the frequency band n41 is 60MHz and the bandwidth of the frequency band n79 is 100MHz.
[0082] (4) The bandwidth of frequency band n28 is 30MHz, the bandwidth of frequency band n41 is 60MHz and the bandwidth of frequency band n79 is 100MHz.
[0083] Figure 4 A flowchart illustrating another multi-carrier aggregation configuration method provided in an embodiment of this application is shown. This method can be executed by a network device. See also Figure 4 The method may include the following steps.
[0084] Step 401: Associate the 5G MR data with the 4G MDT data to generate 5G MR sampling points carrying latitude and longitude information, and associate the 5G MR sampling points with the geographic raster of the electronic map of the Geographic Information System (GIS).
[0085] Step 401 may specifically include steps S11-S13.
[0086] S11, extract fields from 5G MR data and 4G MDT data.
[0087] The 4G MDT data includes the following fields: eNBid, ScRSRP, ScEarfcn, ScPCI, ScTadv, ScAOA, NcEarfcn, NcPCI, NcRSRP, and latitude / longitude information. The 5G MR data includes the following fields: gNBid, ScRSRP, ScEarfcn, ScPCI, ScTadv, ScAOA, NcEarfcn, NcPCI, and NcRSRP.
[0088] S12, by associating engineering parameters and neighbor cell information, and using the 4 / 5G co-location information table, associates 4G cells and 5G cells in the same sector according to the fields, and generates 5G MR sampling points carrying latitude and longitude information.
[0089] S13, associate the latitude and longitude information of the 4G cell with the geographic raster of the GIS electronic map, thereby realizing the association between the 5G MR sampling point and the geographic raster of the GIS electronic map.
[0090] Step 402: For each geographic grid in the area covered by each frequency band that supports multi-carrier aggregation, select target geographic grids that meet the following conditions: the average RSRP is greater than the second preset threshold and the number of 5G MR sampling points in the geographic grid is greater than the third preset threshold.
[0091] Step 402 may specifically include steps S21-S22.
[0092] S21, obtain the RSRP of each cell in each geographic raster and calculate the average RSRP.
[0093] The 5G MR sampling points include the information shown in Table 3. Among them, the E-UTRA Absolute Radio Frequency Channel Number (EARFCN) allows the UE to quickly determine the frequency point to search without blindly scanning the entire frequency band, thus accelerating network search and access speed. The Synchronization Signal Block (SSB) frequency point is a key reference signal for the UE to perform initial cell search, synchronization, and access in the 5G NR network. The Physical Cell Identifier (PCI) is used by the UE to distinguish the radio signals of different cells.
[0094] Table 3.
[0095] S22, filter target geographic rasters that meet the following conditions: the average RSRP is greater than the second preset threshold and the number of 5G MR sampling points in the geographic raster is greater than the third preset threshold.
[0096] Among them, the support for multi-carrier aggregation includes support for three-carrier aggregation. The combinations of frequency bands that support three-carrier aggregation include: (1) frequency band n28 bandwidth 30MHz, frequency band n41 bandwidth 100MHz and frequency band n41 bandwidth 60MHz; (2) frequency band n28 bandwidth 30MHz, frequency band n41 bandwidth 100MHz and frequency band n79 bandwidth 100MHz; (3) frequency band n41 bandwidth 100MHz, frequency band n41 bandwidth 60MHz and frequency band n79 bandwidth 100MHz; (4) frequency band n28 bandwidth 30MHz, frequency band n41 bandwidth 60MHz and frequency band n79 bandwidth 100MHz.
[0097] The second preset threshold can be -105dBm. The third preset threshold can be 50. It is determined whether the average RSRP of each geographic raster is greater than the second threshold. If so, it is determined whether the number of 5G MR sampling points within that geographic raster is greater than the third preset threshold. If so, that geographic raster is determined as the target geographic raster.
[0098] Step 403: Cells within the target geographic raster whose downlink PRB utilization exceeds a first preset threshold during the target time period are identified as non-lightly loaded cells.
[0099] The target time period includes the time period after the cell has enabled the multi-carrier aggregation function and the time period before the cell has enabled the multi-carrier aggregation function.
[0100] Step 403 may specifically include steps S31-S33.
[0101] S31, collect the total number of available PRBs for all cells within the target geographic raster during the target time period, as well as the number of available downlink PRBs for each cell during the target time period.
[0102] The total number of available PRBs is determined by the bandwidth and subcarrier spacing (SCS) configured in the cell. The number of available downlink PRBs in the target time period is determined based on specific circumstances and the 3GPP protocol table, and varies across different frequency bands or bandwidths.
[0103] S32, determine the downlink PRB utilization rate of each cell in the target time period based on the total number of available PRBs for all cells in the target time period and the number of available downlink PRBs for each cell in the target time period.
[0104] The downlink PRB utilization rate can be determined using the following formula: .
[0105] S33, cells whose downlink PRB utilization exceeds the first preset threshold during the target time period are identified as non-lightly loaded cells.
[0106] The first preset threshold can be 40% or 30%.
[0107] Step 404: Determine the proportion of downlink low rate intervals in non-lightly loaded cells during the target time period based on the downlink rate index of each UE in the non-lightly loaded cell during the target time period, and identify non-lightly loaded cells whose downlink low rate interval proportion increases after enabling multi-carrier aggregation function as cells to be adjusted.
[0108] Step 404 may specifically include steps S41-S42.
[0109] S41, collect downlink rate indicators of each UE in a non-lightly loaded cell during the target time period, and calculate the proportion of low-rate intervals before and after the multi-carrier aggregation function is enabled in the non-lightly loaded cell according to the preset rate interval.
[0110] The preset rate ranges are shown in Table 2. The uplink rate is calculated by statistically analyzing the uplink RLC layer SDU throughput and data transmission duration of each UE in the cell during the target time period, deducting the impact of the last slot that empties the buffer and the small packet scheduling before receiving a valid Buffer Status Report (BSR). The downlink rate is calculated by statistically analyzing the downlink RLC layer SDU throughput and data transmission duration of each UE in the cell during the target time period, deducting the impact of the last slot that empties the buffer.
[0111] The proportion of the downlink low-rate range can be determined using the following formula: .
[0112] Among them, intervals 0, 1, and 2 are downlink low-rate intervals.
[0113] S42, non-carrier intervals where the proportion of low-rate intervals after enabling multi-carrier aggregation is greater than the proportion of low-rate intervals before enabling multi-carrier aggregation are identified as cells to be adjusted.
[0114] Step 405: Increase the threshold value for triggering the A5 event in the cell to be adjusted to the target value.
[0115] The target value is greater than the threshold value. There are two threshold values for A5 events, and these threshold values differ for different frequency bands. For example, the threshold is -95dBm for band n28, -98dBm for band n41, and -100dBm for band n79. The increase in the threshold value is determined based on the downlink PRB utilization of the cell to be adjusted and its location information, so that the adjusted threshold value can coordinate with the surrounding cells to jointly optimize network performance.
[0116] In this application embodiment, target geographic grids with high traffic are first screened, and then non-lightly loaded cells in the target geographic grids are accurately screened based on downlink PRB utilization. The UE rates in these cells are further evaluated, and the proportion of low-rate intervals before and after enabling multi-carrier aggregation in the non-lightly loaded cells is analyzed. If the proportion of downlink low-rate intervals after enabling multi-carrier aggregation in the non-lightly loaded cells is greater than the proportion before enabling multi-carrier aggregation, it means that the UE rates in the non-lightly loaded cells have decreased significantly after enabling multi-carrier aggregation. Therefore, it is necessary to adjust the threshold value for triggering the A5 event in the non-lightly loaded cells to a target value greater than the threshold value, reducing the probability of the non-lightly loaded cells being added as secondary carriers, making them less susceptible to carrier aggregation, thereby improving the rate of edge UEs in the non-lightly loaded cells.
[0117] In some embodiments, taking the application scenario of high-speed rail and transportation hubs as an example, the multi-carrier aggregation configuration method provided in this application provides for the implementation of 3CC, which can solve problems such as Doppler effect, frequent base station handover, and signal attenuation in carriages caused by high-speed movement. By aggregating frequency band resources such as 2.6GHz, 4.9GHz, and 700MHz, a super-large bandwidth (such as 260MHz) is formed, enabling stable connections within high-speed trains and supporting services such as high-definition video and real-time entertainment.
[0118] In some embodiments, taking densely populated areas (tourist attractions, large-scale events) as an example, the multi-carrier aggregation configuration method provided in this application provides aggregating multiple carriers to improve network capacity and support a large number of users accessing the network simultaneously.
[0119] In some embodiments, taking industrial internet (smart manufacturing, remote inspection) application scenarios as an example, 3CC is implemented through the multi-carrier aggregation configuration method provided in this application embodiment, providing low-latency, high-reliability connections for industrial scenarios and supporting smart manufacturing and remote control. Smart Manufacturing: By aggregating the 2.6GHz and 4.9GHz frequency bands, the bandwidth requirements for real-time monitoring by high-definition cameras and collaborative robot operations within factories are met, improving production efficiency. Remote Inspection: In industries such as power and energy, 3CC supports high-definition video transmission and remote control of drones, reducing the risks associated with manual inspections.
[0120] In some embodiments, taking remote areas and emergency communication application scenarios as examples, 3CC is implemented through the multi-carrier aggregation configuration method provided in this application embodiment. This extends coverage depth by using low-frequency bands (such as 700MHz) and improves speed by combining high-frequency bands, solving the network coverage problem in high-altitude areas. This supports applications such as telemedicine and augmented reality (AR) teaching, promoting the downward flow of high-quality resources. In emergency rescue scenarios, 3CC sensing technology can locate drones or rescue equipment in real time, improving emergency response efficiency.
[0121] In some embodiments, taking smart city and IoT application scenarios as examples, the multi-carrier aggregation configuration method provided in this application provides 3CC. The high bandwidth and low latency characteristics of 3CC provide infrastructure support for smart cities. IoT Massive Connectivity: Supports high-density access for devices such as smart streetlights and environmental monitoring sensors, improving urban management efficiency. Vehicle-to-Everything (V2X): Enables real-time interaction between traffic lights, vehicles, and the cloud through low-latency communication, optimizing traffic flow.
[0122] In some embodiments, taking the application scenario of integrating sensing and emerging technologies as an example, 3CC is implemented through the multi-carrier aggregation configuration method provided in this application embodiment. 3CC, combined with sensing technology, expands the dual capabilities of communication and sensing. Low-altitude drone management: Drone trajectories are sensed through base station reflected signals, applicable to scenarios such as plateau logistics and urban security. Virtual Reality (VR) or AR immersive experiences: For example, Tibetan culture VR projects, using 3CC to provide high bandwidth support, promote the upgrading of the cultural tourism industry.
[0123] It should be noted that the multi-carrier aggregation configuration method provided in this application can be executed by a multi-carrier aggregation configuration device or a control module within that device for executing the multi-carrier aggregation configuration method. This application uses the execution of the method by a multi-carrier aggregation configuration device as an example to illustrate the multi-carrier aggregation configuration device provided in this application.
[0124] Figure 5 This paper shows a schematic diagram of a multi-carrier aggregation configuration device according to an embodiment of this application. See also: Figure 5 The device 500 may include: a screening module 51, a first determining module 52, a second determining module 53, and an adjustment module 54.
[0125] The system includes a filtering module 51, used to filter target geographic grids that meet preset conditions from the area covered by frequency bands supporting multi-carrier aggregation; a first determining module 52, used to determine non-lightly loaded cells for each cell in the target geographic grid based on the downlink physical resource block (PRB) utilization rate of each cell in the target time period; wherein the downlink PRB utilization rate of the non-lightly loaded cells exceeds a first preset threshold; a second determining module 53, used to determine the proportion of downlink low-rate intervals of the non-lightly loaded cells in the target time period based on the downlink rate index of each user equipment (UE) in the non-lightly loaded cells in the target time period; wherein the target time period includes the time period after the non-lightly loaded cells enable multi-carrier aggregation and the time period before the non-lightly loaded cells enable multi-carrier aggregation; and an adjusting module 54, used to adjust the threshold value for triggering the A5 event of the non-lightly loaded cells to a target value when the proportion of the downlink low-rate interval after the non-lightly loaded cells enable multi-carrier aggregation is greater than the proportion of the downlink low-rate interval before the non-lightly loaded cells enable multi-carrier aggregation, wherein the target value is greater than the threshold value.
[0126] In one implementation, the second determining module 53 can be specifically used to: determine the number of downlink low-rate intervals and the number of downlink non-low-rate intervals of the non-lightly loaded cell in the target time period based on the downlink rate index of each UE in the target time period and the preset downlink rate interval; wherein, the preset downlink rate interval includes downlink low-rate intervals and downlink non-low-rate intervals; and determine the proportion of downlink low-rate intervals after the non-lightly loaded cell enables multi-carrier aggregation function and the proportion of downlink low-rate intervals before the non-lightly loaded cell enables multi-carrier aggregation function based on the number of downlink low-rate intervals and the number of downlink non-low-rate intervals of the non-lightly loaded cell in the target time period.
[0127] In one implementation, the adjustment module 54 can be specifically used to: determine the target value based on the downlink PRB utilization rate of the non-lightly loaded cell in the target time period and the location information of the non-lightly loaded cell; and adjust the threshold value for triggering the A5 event of the non-lightly loaded cell to the target value.
[0128] In one implementation, the first determining module 52 may be used to: obtain the total number of downlink PRBs available for each cell and the number of downlink PRBs available for each cell in the target time period; determine the downlink PRB utilization rate of each cell in the target time period based on the total number of downlink PRBs available for each cell and the number of downlink PRBs available for each cell in the target time period; and determine cells whose downlink PRB utilization rate in the target time period exceeds the first preset threshold as the non-lightly loaded cells.
[0129] In one implementation, the aforementioned apparatus 500 can also be used to: acquire 5G Measurement Report (MR) data of the area covered by the frequency band supporting multi-carrier aggregation; associate the 5G MR data with 4G Minimum Drive Test (MDT) data to generate 5G MR sampling points; wherein the 5G MR sampling points carry latitude and longitude information; associate the 5G MR sampling points with each geographic grid of the area covered by the frequency band supporting multi-carrier aggregation to acquire the Reference Received Power (RSRP) of each cell in each geographic grid.
[0130] In one implementation, the filtering module 51 can be specifically used to: for each of the geographic grids, determine the average RSRP of the geographic grid based on the RSRP of each cell; and if the average RSRP of the geographic grid is greater than a second preset threshold and the number of 5G MR sampling points in the geographic grid is greater than a third preset threshold, determine the geographic grid as the target geographic grid.
[0131] In one implementation, the frequency bands supporting multi-carrier aggregation include: frequency band n28 with a bandwidth of 30MHz; frequency band n41 with a bandwidth of 100MHz; frequency band n41 with a bandwidth of 60MHz; and frequency band n79 with a bandwidth of 100MHz.
[0132] In one implementation, the frequency band supporting multi-carrier aggregation includes a frequency band supporting three-carrier aggregation; the combination corresponding to the frequency band supporting three-carrier aggregation includes one of the following: frequency band n28 with a bandwidth of 30MHz, frequency band n41 with a bandwidth of 100MHz and frequency band n41 with a bandwidth of 60MHz; frequency band n28 with a bandwidth of 30MHz, frequency band n41 with a bandwidth of 100MHz and frequency band n79 with a bandwidth of 100MHz; frequency band n41 with a bandwidth of 100MHz, frequency band n41 with a bandwidth of 60MHz and frequency band n79 with a bandwidth of 100MHz; frequency band n28 with a bandwidth of 30MHz, frequency band n41 with a bandwidth of 60MHz and frequency band n79 with a bandwidth of 100MHz.
[0133] The multi-carrier aggregation configuration device in this application embodiment can be a network device or a component within a network device, such as an integrated circuit or a chip. The network device can be a terminal or other devices besides a terminal. For example, the network device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. It can also be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc. This application embodiment does not specifically limit the device.
[0134] The multi-carrier aggregation configuration device in this application embodiment can be a device with an operating system. This operating system can be Android, iOS, or other possible operating systems; this application embodiment does not specifically limit the specific operating system used.
[0135] The multi-carrier aggregation configuration device provided in this application embodiment can achieve... Figure 1 , Figure 2 and Figure 4 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.
[0136] Based on the same technical concept, this application also provides a network device for executing the above-described multi-carrier aggregation configuration method. Figure 6 This is a schematic diagram illustrating the structure of a network device to implement various embodiments of this application. Network devices can vary significantly due to differences in configuration or performance, and may include a processor 601, a communications interface 602, a memory 603, and a communication bus 604. The processor 601, communications interface 602, and memory 603 communicate with each other via the communication bus 604. The processor 601 can call a computer program stored in the memory 603 and executable on the processor 601 to perform the various steps of the multi-carrier aggregation configuration method embodiments described above, achieving the same technical effects. To avoid repetition, further details are omitted here.
[0137] It should be noted that the network devices in this application embodiment include: servers, terminals, or other devices besides terminals. For example, automobiles, robots, and handheld devices.
[0138] The above network device structure does not constitute a limitation on network devices. Network devices may include more or fewer components than illustrated, or combine certain components, or have different component arrangements. For example, an input unit may include a graphics processing unit (GPU) and a microphone, and a display unit may use a liquid crystal display (LCD), organic light-emitting diode (OLED), or other similar display panels. User input units include at least one of a touch panel and other input devices. A touch panel is also called a touchscreen. Other input devices may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, power buttons, etc.), trackballs, mice, and joysticks, which will not be elaborated further here.
[0139] Memory can be used to store software programs and various data. Memory can primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area can store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, memory can include volatile memory or non-volatile memory, or both. Non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous linked dynamic random access memory (Synchlink DRAM, SLDRAM), and direct memory bus RAM (DRRAM).
[0140] The processor may include one or more processing units; optionally, the processor integrates an application processor and a modem processor, wherein the application processor mainly handles operations related to the operating system, user interface, and applications, while the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into the processor.
[0141] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described multi-carrier aggregation configuration method embodiments and achieve the same technical effect. To avoid repetition, they will not be described again here.
[0142] The processor is the processor in the network device described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk.
[0143] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described multi-carrier aggregation configuration method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.
[0144] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.
[0145] This application also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes a program or instructions. When the program or instructions are executed, they implement the various processes of the above-described multi-carrier aggregation configuration method embodiments and can achieve the same technical effects. To avoid repetition, they will not be described again here.
[0146] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.
[0147] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.
[0148] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.
Claims
1. A multi-carrier aggregation configuration method, characterized in that, include: Select target geographic grids that meet preset conditions from the areas covered by frequency bands that support multi-carrier aggregation; For each cell in the target geographic grid, a non-lightly loaded cell is determined based on the downlink physical resource block (PRB) utilization rate of each cell in the target time period; wherein the downlink PRB utilization rate of the non-lightly loaded cell exceeds a first preset threshold. Based on the downlink rate index of each user equipment (UE) in the non-lightly loaded cell during the target time period, the proportion of the downlink low rate range of the non-lightly loaded cell during the target time period is determined; wherein, the target time period includes the time period after the non-lightly loaded cell enables the multi-carrier aggregation function and the time period before the non-lightly loaded cell enables the multi-carrier aggregation function. If the proportion of downlink low-rate intervals after the multi-carrier aggregation function is enabled in the non-lightly loaded cell is greater than the proportion of downlink low-rate intervals before the multi-carrier aggregation function is enabled in the non-lightly loaded cell, the threshold value for triggering the A5 event in the non-lightly loaded cell is adjusted to a target value, and the target value is greater than the threshold value.
2. The method according to claim 1, characterized in that, The step of determining the proportion of the downlink low-rate interval of the non-lightly loaded cell in the target time period based on the downlink rate index of each user equipment (UE) in the non-lightly loaded cell in the target time period includes: Based on the downlink rate index of each UE in the target time period and the preset downlink rate range, the number of downlink low rate ranges and the number of downlink non-low rate ranges of the non-lightly loaded cell in the target time period are determined; wherein, the preset downlink rate range includes downlink low rate ranges and downlink non-low rate ranges. Based on the number of downlink low-rate intervals and the number of downlink non-low-rate intervals of the non-lightly loaded cell in the target time period, determine the proportion of downlink low-rate intervals after the non-lightly loaded cell has enabled multi-carrier aggregation function and the proportion of downlink low-rate intervals before the non-lightly loaded cell has enabled multi-carrier aggregation function.
3. The method according to claim 1, characterized in that, Adjusting the threshold value for triggering the A5 event in the non-lightly loaded cell to the target value includes: The target value is determined based on the downlink PRB utilization rate of the non-lightly loaded cell during the target time period and the location information of the non-lightly loaded cell; Adjust the threshold value for triggering the A5 event in the non-lightly loaded cell to the target value.
4. The method according to claim 1, characterized in that, The step of determining non-lightly loaded cells based on the downlink physical resource block (PRB) utilization rate of each cell in the target time period includes: Obtain the total number of downlink PRBs available for each cell and the number of downlink PRBs available for each cell during the target time period; The downlink PRB utilization rate of each cell in the target time period is determined based on the total number of downlink PRBs available in each cell and the number of downlink PRBs available in each cell in the target time period. Cells whose downlink PRB utilization exceeds the first preset threshold during the target time period are identified as non-lightly loaded cells.
5. The method according to claim 1, characterized in that, Before selecting target geographic rasters that meet preset conditions from the area covered by frequency bands supporting multi-carrier aggregation, the method further includes: Obtain 5G measurement report (MR) data for the area covered by the frequency band supporting multi-carrier aggregation; The 5G MR data is correlated with the 4G Minimum Drive Test (MDT) data to generate 5G MR sampling points; wherein the 5G MR sampling points carry latitude and longitude information. The 5G MR sampling points are associated with each geographical grid in the area covered by the frequency band supporting multi-carrier aggregation, and the reference signal received power (RSRP) of each cell in each geographical grid is obtained.
6. The method according to claim 5, characterized in that, The process of selecting target geographic grids that meet preset conditions from the area covered by frequency bands that support multi-carrier aggregation includes: For each of the geographic graticles, the average RSRP of the geographic graticle is determined based on the RSRP of each cell; If the average RSRP of the geographic raster is greater than a second preset threshold and the number of 5G MR sampling points in the geographic raster is greater than a third preset threshold, the geographic raster is determined as the target geographic raster.
7. The method according to any one of claims 1 to 6, characterized in that, The frequency bands supporting multi-carrier aggregation include: frequency band n28 with a bandwidth of 30MHz; frequency band n41 with a bandwidth of 100MHz; frequency band n41 with a bandwidth of 60MHz; and frequency band n79 with a bandwidth of 100MHz.
8. The method according to claim 7, characterized in that, The frequency bands supporting multi-carrier aggregation include frequency bands supporting three-carrier aggregation; the combinations corresponding to the frequency bands supporting three-carrier aggregation include one of the following: The frequency band n28 has a bandwidth of 30MHz, the frequency band n41 has a bandwidth of 100MHz, and the frequency band n41 has a bandwidth of 60MHz; The frequency band n28 has a bandwidth of 30MHz, the frequency band n41 has a bandwidth of 100MHz, and the frequency band n79 has a bandwidth of 100MHz; The frequency band n41 has a bandwidth of 100MHz, the frequency band n41 has a bandwidth of 60MHz, and the frequency band n79 has a bandwidth of 100MHz; The frequency band n28 has a bandwidth of 30MHz, the frequency band n41 has a bandwidth of 60MHz, and the frequency band n79 has a bandwidth of 100MHz.
9. A multi-carrier aggregation configuration device, characterized in that, include: The filtering module is used to filter target geographic grids that meet preset conditions from the area covered by frequency bands that support multi-carrier aggregation; The first determining module is used to determine non-lightly loaded cells for each cell in the target geographic grid based on the downlink physical resource block (PRB) utilization rate of each cell in the target time period; wherein the downlink PRB utilization rate of the non-lightly loaded cells exceeds a first preset threshold. The second determining module is used to determine the proportion of the downlink low rate range of the non-lightly loaded cell in the target time period based on the downlink rate index of each user equipment (UE) in the non-lightly loaded cell in the target time period; wherein, the target time period includes the time period after the non-lightly loaded cell has enabled the multi-carrier aggregation function and the time period before the non-lightly loaded cell has enabled the multi-carrier aggregation function. The adjustment module is used to adjust the threshold value for triggering the A5 event in the non-lightly loaded cell to a target value when the proportion of downlink low rate interval after the multi-carrier aggregation function is enabled in the non-lightly loaded cell is greater than the proportion of downlink low rate interval before the multi-carrier aggregation function is enabled in the non-lightly loaded cell. The target value is greater than the threshold value.
10. A network device, characterized in that, It includes a processor, a memory, and a program or instructions stored in the memory and executable on the processor, wherein the program or instructions, when executed by the processor, implement the steps of the multi-carrier aggregation configuration method as described in any one of claims 1 to 8.
11. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the steps of the multi-carrier aggregation configuration method as described in any one of claims 1 to 8.
12. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including programs or instructions that, when executed, implement the steps of the multi-carrier aggregation configuration method as described in any one of claims 1 to 8.