Carrier configuration method and base station
Patent Information
- Application Number
- CN202511407142.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-29
- Publication Date
- 2026-09-29
- Estimated Expiration
- 2045-09-29
AI Technical Summary
[0003]但是,由于待配置设备的数量较多,载波情况较为复杂,通过人工确定有效辅载波并进行辅载波配置,存在配置效率和准确性差的问题,导致基站的载波聚合效果低下
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Figure CN121194318B_ABST
Abstract
Description
Technical Field
[0001] This document relates to the field of computer technology, and in particular to carrier configuration methods and base stations. Background Technology
[0002] With the rapid development of 5G networks, in order to meet users' data transmission needs, multiple discrete or continuous frequency band carriers can be dynamically bound through carrier aggregation (CA) to form a wider transmission bandwidth, thereby improving data transmission rate, network capacity and coverage.
[0003] However, due to the large number of devices to be configured and the complexity of carrier configuration, manually determining and configuring effective secondary carriers suffers from poor efficiency and accuracy, resulting in low carrier aggregation performance at the base station. Therefore, this specification provides a technical solution to improve the efficiency and accuracy of secondary carrier configuration, thereby enhancing the carrier aggregation performance of the base station. Summary of the Invention
[0004] The purpose of the embodiments in this specification is to provide a technical solution to improve the efficiency and accuracy of secondary carrier configuration, thereby enhancing the carrier aggregation effect of the base station.
[0005] To achieve the above technical solution, the embodiments in this specification are implemented as follows: This specification provides a carrier configuration method applied to a base station. The method includes: performing gridding processing on a network coverage area; selecting target grids that meet preset carrier aggregation conditions from the grids of the network coverage area based on the signal quality of each frequency band within each grid and the number of user equipment in each grid; performing clustering processing on the target grids to obtain clusters; determining threshold values corresponding to each frequency band based on the signal quality of each frequency band within the target grid corresponding to the cluster; and determining effective secondary carriers corresponding to each frequency band within the cluster based on the threshold values corresponding to each frequency band, so as to perform secondary carrier configuration processing on the user equipment within the cluster using the effective secondary carriers.
[0006] This specification provides an embodiment of a base station, comprising: a grid processing module for performing gridding processing on a network coverage area; a grid filtering module for filtering target grids that meet preset carrier aggregation conditions from the grids of the network coverage area based on the signal quality of each frequency band within each grid and the number of user equipment within each grid; a grid clustering module for performing clustering processing on the target grids to obtain clusters; a threshold determination module for determining a threshold value corresponding to each frequency band based on the signal quality of each frequency band within the target grid corresponding to the cluster; and a carrier configuration module for determining effective secondary carriers corresponding to each frequency band within the cluster based on the threshold values corresponding to each frequency band, so as to perform secondary carrier configuration processing on the user equipment within the cluster using the effective secondary carriers.
[0007] This specification provides an embodiment of a base station, comprising: a transceiver and a processor; the processor is configured to perform gridding processing on a network coverage area; the processor is further configured to filter target grids that meet preset carrier aggregation conditions from the grids of the network coverage area based on the signal quality of each frequency band within each grid and the number of user equipments within each grid; the processor is further configured to perform clustering processing on the target grids to obtain clusters; the processor is further configured to determine a threshold value corresponding to each frequency band based on the signal quality of each frequency band within the target grid corresponding to the cluster; the processor is further configured to determine an effective secondary carrier corresponding to each frequency band within the cluster based on the threshold values corresponding to each frequency band, so as to perform secondary carrier configuration processing on the user equipment within the cluster through the effective secondary carriers.
[0008] This specification also provides a base station, including a memory, a processor, and a program stored in the memory and executable on the processor; characterized in that the processor executes the program to implement the steps in the carrier configuration method described above.
[0009] This specification also provides a storage medium storing a program, characterized in that the program, when executed by a processor, implements the steps in the carrier configuration method described above.
[0010] This specification also provides a computer program product, including a computer program that, when executed by a processor, implements the steps in the carrier configuration method described above. Attached Figure Description
[0011] To more clearly illustrate the technical solutions in the embodiments or prior art of this specification, the drawings used in the description of the embodiments or prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this specification. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. Figure 1 This is a schematic diagram illustrating the processing procedure of a carrier configuration method described in this specification; Figure 2 This is a schematic diagram illustrating the processing procedure of a target raster filtering method described in this specification; Figure 3 This is a schematic diagram illustrating the processing procedure of a grid clustering method described in this specification; Figure 4 This is a schematic diagram illustrating a grid proximity relationship in this specification; Figure 5 This is a schematic diagram of a grid clustering process described in this specification; Figure 6 This is a schematic diagram illustrating the processing procedure of an effective auxiliary screening method described in this specification; Figure 7 This is a schematic diagram illustrating the processing procedure of one of the auxiliary carrier addition methods described in this specification; Figure 8 This is a schematic diagram illustrating the processing procedure of a secondary carrier update method according to this specification; Figure 9 This is a schematic diagram illustrating the secondary carrier configuration method for a multi-coverage cell device described in this specification. Figure 10 This is a schematic diagram of a base station according to this specification; Figure 11 This is a schematic diagram of another type of base station described in this specification; Figure 12 This is a schematic diagram of another type of base station in this specification. Detailed Implementation
[0012] This specification provides carrier configuration methods and base stations through its embodiments.
[0013] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments in this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.
[0014] This specification provides carrier configuration methods and base stations. Due to the large number of devices to be configured and the complexity of carrier configuration, manually determining and configuring effective secondary carriers suffers from poor efficiency and accuracy, resulting in low carrier aggregation performance at the base station. In practical applications, effective secondary carriers can be screened using static thresholds. For example, a static threshold can be determined based on a -105dBm threshold and a 1dB offset. Secondary carriers with signal quality greater than this static threshold can be identified as effective secondary carriers. However, firstly, the coverage distances of carriers in different frequency bands vary significantly. For instance, the coverage range of carriers in the n28 (700MHz) band is larger than that of carriers in the n41 and n79 bands. If the threshold for adding secondary carriers in a 3CC carrier aggregation scenario is set to the aforementioned static threshold, multiple n28 cells will be detected in a multi-carrier scenario, and the static threshold cannot select the optimal n28 cell, thus failing to achieve the intended effect of 3CC carrier aggregation. Secondly, the n28 band serves as the basic coverage layer in 5G network planning, targeting deep or wide-area coverage scenarios. Therefore, the PRB utilization rate of the n28 band carriers cannot be too high. However, if the threshold for adding secondary carriers in 3CC is set to a uniform value (i.e., a static threshold), the probability of adding n28 carriers will increase, thus increasing its utilization rate and affecting the perceived performance as the basic coverage layer. To address this, this specification provides a technical solution to improve the efficiency and accuracy of secondary carrier configuration, thereby enhancing the carrier aggregation effect of base stations. In this solution, the network coverage area can be gridded. Based on the signal quality of each frequency band within each grid and the number of user equipment within each grid, target grids that meet preset carrier aggregation conditions are selected from the grids of the network coverage area. These target grids are then clustered to obtain clusters. Based on the signal quality of each frequency band within the target grid corresponding to the cluster, the threshold value corresponding to each frequency band is determined. Based on the threshold value corresponding to each frequency band, the effective value corresponding to each frequency band within the cluster is determined. Secondary carriers are used to configure user equipment within clusters using effective secondary carriers. This method, by filtering target grids and clustering them, identifies areas with high user concentration and frequent service initiation (i.e., the areas corresponding to clusters). Then, for each selected area, a threshold value is determined for each frequency band based on its signal quality. Based on these threshold values, effective secondary carriers for each frequency band are selected, avoiding the low efficiency and accuracy issues associated with static threshold-based selection. This improves the carrier aggregation effect of the base station. Specific processing details can be found in the following embodiments.
[0015] like Figure 1 As shown in the embodiments of this specification, a carrier configuration method is provided, which can be applied to a base station. The method specifically includes the following steps: In step S102, the network coverage area is rasterized.
[0016] The network coverage area can be the network coverage area of a specified network-side device. This network-side device can be a device used to communicate with mobile devices, such as an evolved NodeB (eNB or eNodeB) or access point in LTE, a base station in a 5G network, a network-side device in a future 6G network, or a network-side device in a future evolved Public Land Mobile Network (PLMN). In implementation, the grid size (e.g., 50m*50m, 100m*100m, 2000m*2000m) can be determined based on the size of the network coverage area, carrier aggregation requirements, and control priorities. The network coverage area is then rasterized according to this grid size to divide it into multiple grids.
[0017] Alternatively, the network coverage area can be rasterized using 5G Measurement Reports (MR), 4G Minimization of Drive-Test (MDT), and Geographic Information System (GIS). For example, 5G MR data can be correlated with 4G MDT data to generate 5G MR sampling points carrying latitude and longitude information, and these sampling points can be associated with the geographic rasters of a GIS electronic map. The specific implementation steps are as follows: (1) Extract fields from 4G MDT data, such as: eNBid, ScRSRP, ScEarfcn, ScPCI, ScTadv, ScAOA, NcEarfcn, NcPCI, NcRSRP, latitude and longitude information, and fields from 5G MR data: gNBid, ScRSRP, ScEarfcn, ScPCI, ScTadv, ScAOA, NcEarfcn, NcPCI, NcRSRP.
[0018] (2) Preprocess the extracted fields, and associate the 4G cells and 5G cells in the same sector by linking the working parameters and neighbor cell information and using the 4 / 5G co-location information table; (3) Construct a fingerprint database containing the signal quality of each sampling point based on the reference signal receiving power (RSRP) of the primary serving cell and neighboring cells of all sampling points in the grid: GeoHash = (ScCGI, ScRSRP, [NcCGI1, NcRSRP1], …, [NcCGIn, NcRSRPn]).
[0019] Then, the 5G MR sampling points carrying latitude and longitude information can be associated with the geographic rasters of the GIS electronic map. For example, 4G MDT information can be used to match 4G cells in the fingerprint database with associated 5G cells, and the latitude and longitude information of the 4G cell identifier (CGI) can be associated with the GIS electronic map rasters. At the same time, the association between 5G cells and GIS rasters is also completed, realizing the rasterization processing of the network coverage area.
[0020] In step S104, based on the signal quality of each frequency band in each grid and the number of user equipment in each grid, target grids that meet the preset carrier aggregation conditions are selected from the grids in the network coverage area.
[0021] Among them, carrier aggregation conditions can be set according to actual conditions. For example, corresponding carrier aggregation conditions can be set based on expert experience, or statistical analysis can be performed on a large amount of historical data to determine the corresponding carrier aggregation conditions.
[0022] In practice, based on the frequency bands configured for each base station in the grid, the signal quality of each frequency band in the grid, and the number of user equipment in each grid, it can be determined whether the grid meets the preset carrier aggregation conditions, so as to filter out the areas in the network coverage area where there are users clustered, a large number of services initiated, and carrier aggregation can be performed, that is, to filter out the target grid.
[0023] In step S106, the target grid is clustered to obtain clusters.
[0024] In practice, a pre-defined clustering algorithm (such as K-means algorithm or DBSCAN algorithm) can be used to cluster the target grid based on its location information to obtain clusters.
[0025] In step S108, the threshold value corresponding to each frequency band is determined based on the signal quality of each frequency band within the target grid corresponding to the cluster.
[0026] In implementation, in clusters The sampling points can be arranged by frequency band. The last n% of sampling points from strong to weak are selected, and the sampling points are identified. Their RSRP values are used as the threshold values of the frequency band. The specific steps are as follows: Assuming that the number of sampling points in a certain frequency band within the target grid is N, the set of sampling points can be: This can be done based on the RSRP of each sampling point, that is, S can be sorted from high to low RSRP intensity to obtain an ordered sequence:
[0027] We can select the last n% of the sampling points in the ordered sequence. That is, if n=5, it means that the last 5% of sampling points can be selected. Assuming that the number of sampling points corresponding to the last n% is k, we can use rounding up to ensure that at least n% is selected: Select the last k sorted sampling points, i.e., the index range can be [N-k+1, N], and generate the formula:
[0028] Right now: in, This refers to the sampling points selected for each frequency band.
[0029] The threshold value corresponding to a frequency band can be determined based on the RSRP of the selected sampling points. For example, the mean (or minimum, maximum, etc.) of the RSRP of the selected sampling points can be determined as the threshold value corresponding to the frequency band.
[0030] In step S110, based on the threshold values corresponding to each frequency band, the effective secondary carriers corresponding to each frequency band within the cluster are determined, so as to perform secondary carrier configuration processing on the user equipment within the cluster through the effective secondary carriers.
[0031] In implementation, to provide higher service rates, 3GPP Release 15 (R15) requires NR users to support a maximum bandwidth of 1 GHz. Due to scenarios where operators may lack complete spectrum resources or have spectrum capabilities exceeding the single-carrier bandwidth defined in the protocol, carrier aggregation (CA) can be introduced. This involves aggregating multiple consecutive or non-consecutive component carriers (CCs) into a larger bandwidth. A key technology in 5GA networks is 3CC carrier aggregation.
[0032] 5G network planning can include multiple frequency bands, such as the 700MHz band of n28, the 2.6GHz band of n41, the 3.5GHz band of n78, and the 4.9GHz band of n79. The bandwidth combinations corresponding to different frequency band combinations are shown in Table 1 below.
[0033] Table 1
[0034] The 3CC combination scheme combines carriers from three frequency bands. The rate of 3CC is the downlink rate (downlink CA rate) of the three carriers, which mainly refers to the sum of the values. When the user equipment does not support uplink CA, the uplink rate of the user equipment is the uplink rate of the main carrier. The peak rates of each frequency band combination in label 1 above can be shown in Table 2 below.
[0035] Table 2
[0036] The carrier aggregation in the 3CC (three-carrier aggregation) combination scheme includes a primary cell and a secondary cell. The primary cell (PCell) is the cell where user equipment camps. The operation of user equipment in this cell is the same as in a single-carrier cell.
[0037] A secondary cell (SCell) is a cell that a base station configures for a user equipment via RRC connection signaling. The secondary carrier (SCell) can provide more radio resources for the user equipment. A secondary cell can have only downlink or both uplink and downlink.
[0038] Correspondingly, the primary carrier PCC refers to the primary CC, that is, the carrier corresponding to the primary cell PCell, and the secondary carrier SCC refers to the secondary CC, that is, the carrier corresponding to the secondary cell SCell.
[0039] For user equipment that has implemented carrier aggregation, it can be determined whether the secondary carrier configured by the user equipment is a valid secondary carrier for the corresponding frequency band. If the secondary carrier configured by the user equipment is not a valid secondary carrier for the corresponding frequency band, the secondary carrier configured by the user equipment can be replaced according to the valid secondary carrier.
[0040] Alternatively, for user equipment that requires carrier aggregation, the user equipment within the cluster can be configured with secondary carriers based on the effective secondary carriers and the frequency band combination corresponding to the user equipment.
[0041] In addition, when there are multiple effective secondary carriers corresponding to the same frequency band, the base station can perform secondary carrier configuration processing on the user equipment based on the discovery time of the effective secondary carriers corresponding to the same frequency band. Alternatively, the base station can randomly select one effective secondary carrier from the effective secondary carriers and perform secondary carrier configuration processing on the user equipment.
[0042] This specification provides a carrier configuration method that can perform gridding processing on the network coverage area. Based on the signal quality of each frequency band within each grid and the number of user equipment in each grid, target grids that meet preset carrier aggregation conditions are selected from the grids of the network coverage area. The target grids are then clustered to obtain clusters. Based on the signal quality of each frequency band within the target grid corresponding to the cluster, a threshold value corresponding to each frequency band is determined. Based on the threshold values corresponding to each frequency band, effective secondary carriers corresponding to each frequency band within the cluster are determined. Through the effective secondary carriers, secondary carrier configuration processing is performed on the user equipment within the cluster. In this way, by selecting target grids and clustering them, areas where users are concentrated and initiating more services (i.e., areas corresponding to clusters) can be discovered. Then, for the selected area, a threshold value corresponding to each frequency band can be determined based on the signal quality of each frequency band within that area. Based on the threshold values, effective secondary carriers corresponding to each frequency band are selected. This avoids the problem of low efficiency and accuracy in determining effective secondary carriers caused by using static thresholds for effective secondary carrier selection, and improves the carrier aggregation effect of the base station.
[0043] In practical applications, the specific processing method for selecting target grids that meet the preset carrier aggregation conditions from the grids of the network coverage area in step S104 above, based on the signal quality of each frequency band within each grid and the number of user equipment within each grid, can vary. The following provides one optional processing method, such as... Figure 2 As shown, the specific process may include the following steps S1042 to S1044.
[0044] In step S1042, the signal quality of each frequency band in each grid is determined based on the reference signal received power of the user equipment corresponding to each frequency band in each grid.
[0045] In practice, the average (or minimum, maximum, etc.) value of the reference signal received power of the user equipment corresponding to each frequency band in each grid can be used to determine the signal quality of each frequency band in each grid.
[0046] In step S1044, target grids that meet the preset carrier aggregation conditions are selected from the grids in the network coverage area based on the frequency band type and number of frequency bands contained in each grid, the signal quality of each frequency band in each grid, and the number of user equipment in each grid.
[0047] The carrier aggregation conditions can include one or more of the following: quality conditions, quantity conditions, and aggregation conditions. The quality conditions can be used to measure whether the grid meets the signal quality requirements based on the signal quality of each frequency band within the grid. The quantity conditions can be used to measure whether the grid meets the user quantity requirements based on the number of user equipment within the grid. The aggregation conditions can be used to measure whether the grid meets the carrier aggregation requirements based on the type and number of frequency bands contained within the grid.
[0048] In implementation, the processor can calculate the RSRP value of the MR sampling points of each grid in frequency bands, and select all frequency bands that meet the 3CC condition (i.e. aggregation) based on the RSRP value of the sampling points. At the same time, the effective grids (i.e., the target grids that meet the aggregation condition, quality condition and quantity condition) are also selected when the signal quality of each frequency band is higher than the quality threshold and the number of sampling points (i.e. the number of user equipment in the grid) is higher than the quantity threshold.
[0049] First, the processor can calculate the RSRP value of 5G multi-carriers by frequency band. Specifically, for the case of 5G network with multiple frequency bands, it can collect information such as 5G network standard, frequency band, frequency point, PCI, bandwidth, base station latitude and longitude information, antenna azimuth angle, and downtilt angle. The collected information is shown in Table 3 below: Table 3
[0050] Based on the information collected in Table 3 above, the frequency band and SSB frequency point corresponding to each MR sampling point can be calculated. For example, the frequency band to which the sampling point belongs (such as n28, n41, n79, etc.) can be calculated from the frequency point information corresponding to the sampling point.
[0051] For example, taking the ARFCN calculation method corresponding to a center frequency of 2565 MHz as an example, the calculation method under this example can be: NARFCN=2565MHz×10005kHz=513000NARFCN=5kHz2565MHz×1000=513000 The SSB frequency can be determined by the synchronization raster, with a step size of 1.44 MHz in C-Band (n41). The corresponding GSCN (Global Synchronization Channel Number) needs to be converted using the following formula: fSSB=1200×N+50×M(kHz) fSSB=1200×N+50×M(kHz) Where NN and MM are integers, and M∈{1,2,3}.
[0052] Alternatively, taking the SSB frequency corresponding to GSCN=6312 as an example, its calculation method can be as follows: fSSB=1200×2104+50×3=2524.95MHz fSSB=1200×2104+50×3=2524.95MHz Convert it to ARFCN: NSSB=2524.95MHz×10005kHz=504990NSSB=5kHz2524.95MHz×1000=504990 The center frequency of each ARFCN can be calculated as follows: I. Basic parameters of the n41 frequency band Frequency range: 2496-2690 MHz, bandwidth: 100 MHz.
[0053] Subcarrier spacing (SCS): 30kHz can be used in high-bandwidth scenarios, and 15kHz can be used in other scenarios.
[0054] ARFCN Scope: 15kHz SCS:ARFCN range 499200-537999, step size 3.
[0055] 30kHz SCS: ARFCN range is 499200-537996, step size 6.
[0056] For example, the center frequency of ARFCN 513000 can be 2565 MHz (2565 = 2496 + 0.1*(513000 - 499200)).
[0057] II. Calculation Method of SSB Frequency Point Number 1. Relationship between ARFCN and frequency Formula: FDL=FDL_low+0.1×(NARFCN-Noffset) parameter: FDL_low=2496MHz (starting frequency of band n41).
[0058] Noffset=499200 (corresponding to ARFCN at 2496 MHz).
[0059] Example: NARFCN=513000→FDL=2496+0.1×(513000-499200)=2565MHz.
[0060] 2. Center frequencies of GSCN and SSB GSCN Definition: GSCN can be used to mark the center frequency position of SSB and must be aligned with the synchronization grid.
[0061] Formula: FSS_REF=FSS_Offs+0.03×(NGSCN-NSS_Offs) parameter: FSS_Offs=2496MHz (n41 band synchronization grid start frequency).
[0062] NSS_Offs=6312 (corresponds to GSCN at 2496 MHz).
[0063] Example: NGSCN=6312→FSS_REF=2496+0.03×(6312-6312)=2496MHz.
[0064] 3. Relationship between SSB location and ARFCN The center frequency of an SSB must be within the carrier bandwidth and meet the channel grid requirements. For example, China Mobile's SSB frequency number 504990 (corresponding to GSCN 6312) in the n41 band has a center frequency of 2496 MHz, which is located at the low end of the carrier and facilitates fast cell search 617.
[0065] After determining the frequency band corresponding to the carrier of each user equipment, the processor can determine the frequency band type and number contained in each grid based on the frequency band corresponding to the carrier of each user equipment. Then, based on the frequency band type and number contained in each grid, it can filter out the grids that meet the 3CC condition. Then, based on the number of user equipment in each grid and the signal quality of each frequency band in each grid, it can filter out the target grids that meet the preset quality and quantity conditions from the grids that meet the 3CC condition.
[0066] The 3CC condition can be any combination of frequency band types and the number of frequency bands contained within the grid. Frequency band combination 1: 2.6GHz (100MHz bandwidth) + 2.6GHz (60MHz bandwidth) + 4.9GHz (100MHz bandwidth); Frequency band combination 2: 2.6GHz (100MHz bandwidth) + 2.6GHz (60MHz bandwidth) + 700MHz (30MHz bandwidth); Frequency band combination 3: 2.6GHz (100MHz bandwidth) + 700MHz (30MHz bandwidth) + 4.9GHz (100MHz bandwidth); Frequency band combination 4: 2.6GHz (100MHz bandwidth) + 4.9GHz (100MHz bandwidth) + 4.9GHz (60MHz bandwidth).
[0067] In addition, there can be a variety of different frequency band combinations. Different frequency band combinations can be selected according to the actual application scenario. This specification does not specifically limit this in the embodiments.
[0068] In this way, based on the frequency band type and number contained in each grid, the signal quality of each frequency band in each grid, and the number of user equipment in each grid, effective grids with user clusters, a large number of initiated services, and the ability to perform carrier aggregation can be selected. Effective secondary carriers can then be selected based on the selected effective grids. Furthermore, by configuring the secondary carrier selection threshold for multi-carrier aggregation 3CC in a customized manner for the selected area, it is possible to avoid using 5G cells that are too far away from the area being covered as 3CC secondary carriers, thereby improving the configuration efficiency and effectiveness of carrier aggregation.
[0069] In practical applications, the specific processing method for clustering the target raster in step S106 above to obtain clusters can vary. The following provides one optional processing method, such as... Figure 3 As shown, the process may specifically include the following steps, S1062.
[0070] In step S1062, based on the preset number of clusters and the number of other target grids that have a preset proximity relationship with each target grid, the target grids are clustered to obtain clusters.
[0071] In implementation, target graticets can be clustered based on a preset number of clusters and the proximity relationships between them to obtain clusters. The proximity relationships can include direct adjacency or indirect adjacency.
[0072] For example, taking proximity relationships, including direct adjacency, as an example, Figure 4 As shown, for the grid Gird(i,j) in the j-th row and i-th column, the grids that are adjacent to it can include the grid Gird(i,j+1) in the j+1-th row and i-th column, the grid Gird(i,j-1) in the j-1-th row and i-th column, the grid Gird(i+1,j) in the j-th row and i+1-th column, and the grid Gird(i-1,j) in the j-th row and i-1-th column.
[0073] It can identify target rasters that have a neighboring relationship with each target raster, and construct clusters based on target rasters that have a neighboring relationship and whose number exceeds a preset clustering limit. For example, ... Figure 5As shown, assuming the preset number of clusters is 5, then a cluster can be constructed by the target grid with more than 5 adjacent target grids (i.e., the grid in the j-th row and i-th column, Gird(i,j)), and its neighboring target grids (i.e., target grids Gird(i-1,j), Gird(i-1,j-1), Gird(i,j-1), Gird(i+1,j), and Gird(i+2,j)).
[0074] In this way, effective grids can be clustered to obtain clusters that can perform carrier aggregation and have a large service output. Carrier configuration processing can then be performed on user equipment within these clusters to improve carrier aggregation performance and avoid resource waste.
[0075] In practical applications, the specific processing method for determining the effective auxiliary carriers corresponding to each frequency band within the cluster in step S110 above, based on the threshold values corresponding to each frequency band, can vary. The following provides one optional processing method, such as... Figure 6 As shown, the specific process may include the following steps S1102 to S1104.
[0076] In step S1102, the carrier screening threshold for each frequency band is determined based on the threshold value and offset value corresponding to each frequency band.
[0077] In implementation, the carrier screening threshold for each frequency band can be the sum of the threshold value and the offset value for each frequency band. The offset value can be configured according to the actual application scenario, and this specification does not specifically limit it in the embodiments.
[0078] In step S1104, based on the carrier screening threshold corresponding to each frequency band, the auxiliary carriers corresponding to each frequency band within the cluster are screened to obtain the effective auxiliary carriers corresponding to each frequency band within the cluster.
[0079] In implementation, the addition and removal of secondary carriers in 3CC carrier aggregation are triggered by events A5 and A2. Event A5 indicates that "the signal quality of the PCell becomes lower than threshold 1 and the signal quality of neighboring cells becomes higher than threshold 2." Threshold 1 for event A5 in CA is fixed at -31dBm, while threshold 2 can be determined by the parameters CaA5RsrpThld2 (threshold value) and CaSccA5RsrpThld2Offset (offset value). CA can configure SCells through event A5.
[0080] The threshold 2 for the A5 event in CA represents the RSRP trigger threshold 2 value for the A5 event in the CA secondary cell. If the primary cell signal quality is below -31dBm and the neighboring cell RSRP measurement value is above the threshold 2 value (i.e., the sum of the threshold value and the offset), the UE will report the A5 event.
[0081] The A2 event indicates that "the SCell signal quality has fallen below the corresponding threshold." In CA, the threshold for the A2 event is determined by the parameters CaA2RsrpThld (threshold value) and CaA2RsrpThldOffset (offset value). CA can use the A2 event to exclude SCells with poor signal quality.
[0082] The threshold 2 in event A5 and the threshold in event A2 can be the carrier selection thresholds corresponding to each frequency band. The processor can trigger events A5 and / or A2 based on these carrier selection thresholds to perform secondary carrier configuration processing for user equipment. Determining the threshold values corresponding to each frequency band in the context of a clustered wireless environment can avoid the problem of low efficiency and accuracy of effective secondary carrier selection caused by static thresholds, improve the accuracy of secondary carrier configuration, and ensure user perception.
[0083] In practical applications, the specific processing method for configuring secondary carriers for user equipment within a cluster using effective secondary carriers in step S110 can vary. Secondary carrier configuration processing can include secondary carrier addition processing. Accordingly, the following provides an optional processing method, such as... Figure 7 As shown, the specific process may include the following steps S1106 to S1108.
[0084] In step S1106, based on the signal quality of the primary carrier of the user equipment within the cluster, it is determined whether to add a secondary carrier to the user equipment.
[0085] In practice, the processor can determine that a secondary carrier needs to be added to a user equipment if the signal quality of the primary carrier of the user equipment in the cluster is lower than the preset primary carrier threshold (i.e., threshold 1 in the A5 time mentioned above).
[0086] In step S1108, when it is determined that a secondary carrier needs to be added to the user equipment, the user equipment within the cluster is processed by adding secondary carriers according to the effective secondary carriers corresponding to each frequency band.
[0087] In implementation, the processor can determine the frequency band to be added to the user equipment based on the frequency band combination supported by the cluster and the frequency band of the user equipment's primary carrier, and obtain the effective secondary carrier corresponding to the determined frequency band, so as to perform secondary carrier addition processing on the user equipment through the effective secondary carrier.
[0088] For example, assuming the primary carrier frequency band of a user equipment within a cluster is 2.6 GHz (160 MHz), and the frequency band combination supported by the cluster includes 2.6 GHz (160 MHz) + 700 MHz (30 MHz) + 4.9 GHz (100 MHz), then the processor can determine that the frequency bands of the secondary carriers to be added are 700 MHz (30 MHz) and 4.9 GHz (100 MHz). The processor can then perform secondary carrier addition processing on the user equipment based on the effective secondary carriers corresponding to 700 MHz (30 MHz) and 4.9 GHz (100 MHz) within the cluster.
[0089] In this way, when it is determined that user equipment needs to be added with secondary carriers, secondary carriers can be added to user equipment quickly and accurately using the effective secondary carriers corresponding to each frequency band, thereby improving signal transmission quality and achieving carrier aggregation effect.
[0090] In practical applications, the specific processing method for configuring secondary carriers for user equipment within a cluster using effective secondary carriers in step S110 can vary. Secondary carrier configuration processing may include secondary carrier deletion and / or secondary carrier addition. Accordingly, the following provides an optional processing method, such as... Figure 8 As shown, the specific process may include the following steps S11010 to S11012.
[0091] In step S11010, based on the threshold values corresponding to each frequency band and the signal quality of the secondary carriers of user equipment within the cluster, it is determined whether there are target secondary carriers to be deleted in the secondary carriers of user equipment.
[0092] In practice, the processor can identify a secondary carrier whose signal quality is lower than the threshold of the corresponding frequency band (i.e., the sum of the threshold value and the offset value) as the target secondary carrier.
[0093] In step S11012, if it is determined that a target secondary carrier exists in the secondary carrier of the user equipment, the target secondary carrier is deleted, and the user equipment is processed to add a secondary carrier through a valid secondary carrier.
[0094] In practice, the processor can delete the target secondary carrier and add the valid secondary carrier as a secondary carrier to the user equipment, which can improve the secondary carrier update efficiency, improve resource utilization, and ensure that the user equipment can achieve high-quality data transmission.
[0095] In practical applications, the specific processing method for configuring secondary carriers for user equipment within a cluster using effective secondary carriers in step S110 can vary. Secondary carrier configuration processing may include secondary carrier deletion and / or secondary carrier addition. Accordingly, the following provides an optional processing method, such as... Figure 9 As shown, the specific process may include the following steps S11014 to S11018.
[0096] In step S11014, if there are multiple clusters corresponding to the user equipment to be configured, the effective secondary carriers for the same frequency band for each cluster are obtained.
[0097] In implementation, since a grid may include multiple frequency bands, and each frequency band may correspond to multiple gNodeB cells belonging to that frequency band, such as the n28 band (700MHz) carrier with a long coverage area, the same gNodeB cell may appear in several different grids. That is, the same cell may belong to multiple clusters, and thus, the user equipment within that cell will correspond to multiple clusters. In this case, the effective secondary carriers for the same frequency band for each cluster corresponding to the user equipment can be obtained.
[0098] In step S11016, based on the carrier configuration requirements of the user equipment to be configured, the effective secondary carriers for the same frequency band are filtered for each cluster to obtain the target effective secondary carriers corresponding to each frequency band.
[0099] Carrier configuration requirements may include carrier quality requirements, carrier quantity requirements, etc.
[0100] In practice, taking carrier configuration requirements, including carrier quality requirements, as an example, the base station processor can filter effective secondary carriers based on the signal quality of each cluster for the same frequency band, and obtain the target effective secondary carriers corresponding to each frequency band.
[0101] Furthermore, carrier configuration requirements can be diverse, and different carrier configuration requirements can be configured according to the actual application scenario to select effective secondary carriers based on the actual carrier configuration requirements.
[0102] Alternatively, the processor can determine the target threshold value for each frequency band based on the threshold value for each cluster for the same frequency band, and then filter the secondary carriers corresponding to the user equipment according to the target threshold value to obtain the target effective secondary carriers.
[0103] For example, the processor can determine the minimum threshold value of each cluster for the same frequency band as the target threshold value for each frequency band, and then filter the secondary carriers corresponding to the user equipment according to the target threshold value to obtain the target effective secondary carriers.
[0104] In step S11018, the user equipment to be configured is configured using the target valid secondary carrier.
[0105] In practice, when the same NR cell is associated with multiple grid clusters, the carriers of different frequency bands in the target grid can be associated with the NR cell. The minimum (or average, etc.) value of the threshold values corresponding to each frequency band in the grid cluster can be determined as the screening criterion for the effective secondary carriers of each frequency band in the NR cell. This allows for the configuration of secondary carriers for user equipment belonging to cells with multiple clusters, thereby improving the configuration efficiency and effectiveness of secondary carriers.
[0106] Furthermore, the core value of 5G's 3CC lies in overcoming the limitations of traditional networks in terms of speed, latency, and coverage through the efficient aggregation of spectrum resources. Its application scenarios cover multiple fields such as transportation, industry, public services, and urban management, driving digital transformation and intelligent upgrading. As the technology matures further, 3CC will play an even greater role in emerging fields such as connected vehicles and the metaverse. The following are its core application scenarios and specific analysis: 1. High-speed rail and transportation hubs In high-speed rail scenarios, 5G's 3CC (3-channel coverage) can solve problems such as the Doppler effect, frequent base station handover, and signal attenuation in carriages caused by high-speed movement. For example, by aggregating frequency bands such as 2.6GHz, 4.9GHz, and 700MHz, ultra-large bandwidth (e.g., 260MHz) can be formed, enabling stable connections within high-speed trains and supporting services such as high-definition video and real-time entertainment. Specifically, after deploying 3CC on high-speed rail, speeds can reach 1.2Gbps, which can meet the requirements for smooth 1080p video playback. In commercial areas, continuous 3CC coverage can improve network capacity in densely populated areas.
[0107] 2. Densely populated areas (tourist attractions, large events) In highly populated areas (such as scenic spots, stadiums, and concert venues), 3CC enhances network capacity by aggregating multiple carriers, supporting simultaneous access by a large number of users and achieving downlink peak rates exceeding 4Gbps, ensuring a high-definition live streaming and interactive experience for visitors. In large-scale event scenarios, 3CC technology can support downlink rates of 4.2Gbps, capable of handling sudden surges in traffic demand.
[0108] 3. Industry Internet (Smart Manufacturing, Remote Inspection) 3CC provides low-latency, highly reliable connectivity for industrial scenarios, supporting smart manufacturing and remote control. For example, in smart manufacturing, it can aggregate 2.6GHz and 4.9GHz bands to meet the bandwidth requirements of real-time monitoring by high-definition cameras and collaborative robot operations within factories, thereby improving production efficiency. In remote inspection scenarios in industries such as power and energy, 3CC can support high-definition video transmission and remote control of drones, reducing the risks associated with manual inspections.
[0109] 4. Remote areas and emergency communications In geographically complex areas such as plateaus and mountains, 3CC can extend coverage depth through low-frequency bands (such as 700MHz) and improve speed by combining them with high-frequency bands. Deploying 3CC can solve network coverage challenges in plateau regions, supporting applications such as telemedicine and AR teaching, and promoting the downward flow of high-quality resources. In emergency rescue scenarios, 3CC's integrated sensing technology can locate drones or rescue equipment in real time, improving emergency response efficiency.
[0110] 5. Smart Cities and the Internet of Things 3CC's high bandwidth and low latency characteristics can provide infrastructure support for smart cities, such as massive IoT connectivity: supporting high-density access of devices such as smart streetlights and environmental monitoring sensors to improve urban management efficiency, and massive vehicle-to-everything (V2X) connectivity: enabling real-time interaction between traffic lights, vehicles and the cloud through URLLC to optimize traffic flow.
[0111] 6. Integration of sensory integration with emerging technologies 3CC can be combined with sensing technology to expand the dual capabilities of communication and perception, such as realizing the control of low-altitude drones: sensing the drone trajectory through the reflected signals of the base station, which can be applied to scenarios such as plateau logistics and urban security, as well as VR / AR immersive experiences. For example, based on the high bandwidth support provided by 3CC, cultural VR projects can be used to promote the upgrading of the cultural tourism industry.
[0112] This specification provides a carrier configuration method that can perform gridding processing on the network coverage area. Based on the signal quality of each frequency band within each grid and the number of user equipment in each grid, target grids that meet preset carrier aggregation conditions are selected from the grids of the network coverage area. The target grids are then clustered to obtain clusters. Based on the signal quality of each frequency band within the target grid corresponding to the cluster, a threshold value corresponding to each frequency band is determined. Based on the threshold values corresponding to each frequency band, effective secondary carriers corresponding to each frequency band within the cluster are determined. Through the effective secondary carriers, secondary carrier configuration processing is performed on the user equipment within the cluster. In this way, by selecting target grids and clustering them, areas where users are concentrated and initiating more services (i.e., areas corresponding to clusters) can be discovered. Then, for the selected area, a threshold value corresponding to each frequency band can be determined based on the signal quality of each frequency band within that area. Based on the threshold values, effective secondary carriers corresponding to each frequency band are selected. This avoids the problem of low efficiency and accuracy in determining effective secondary carriers caused by using static thresholds for effective secondary carrier selection, and improves the carrier aggregation effect of the base station.
[0113] The above describes the carrier configuration method provided in the embodiments of this specification. Based on the same idea, the embodiments of this specification also provide a base station, such as... Figure 10 As shown.
[0114] The base station 100 includes: a grid processing module 1001, a grid filtering module 1002, a grid clustering module 1003, a threshold determination module 1004, and a carrier configuration module 1005, wherein: The raster processing module 1001 is used to rasterize the network coverage area; The grid filtering module 1002 is used to filter out target grids that meet preset carrier aggregation conditions from the grids in the network coverage area based on the signal quality of each frequency band in each grid and the number of user equipment in each grid. The grid clustering module 1003 is used to perform clustering processing on the target grid to obtain clusters; The threshold determination module 1004 is used to determine the threshold value corresponding to each frequency band based on the signal quality of each frequency band within the target grid corresponding to the cluster. The carrier configuration module 1004 is used to determine the effective secondary carriers corresponding to each frequency band within the cluster based on the threshold values corresponding to each frequency band, so as to perform secondary carrier configuration processing on the user equipment within the cluster through the effective secondary carriers.
[0115] In this embodiment of the specification, the grid filtering module 1002 is used for: The signal quality of each frequency band in each grid is determined based on the reference signal received power of the user equipment corresponding to each frequency band in each grid. Based on the frequency band type and number contained in each grid, the signal quality of each frequency band in each grid, and the number of user equipment in each grid, target grids that meet the preset carrier aggregation conditions are selected from the grids in the network coverage area.
[0116] In the embodiments of this specification, the preset carrier aggregation conditions include one or more of quality conditions, quantity conditions, and aggregation conditions. The quality conditions are used to measure whether the grid meets the signal quality requirements based on the signal quality of each frequency band within the grid. The quantity conditions are used to measure whether the grid meets the user quantity requirements based on the number of user equipment within the grid. The aggregation conditions are used to measure whether the grid meets the carrier aggregation requirements based on the frequency band type and the number of frequency bands contained within the grid.
[0117] In the embodiments of this specification, the grid clustering module 1003 is used for: Based on a preset number of clusters and the number of other target grids that have a preset proximity relationship with each target grid, the target grids are clustered to obtain the clusters.
[0118] In this embodiment of the specification, the carrier configuration module 1004 is used for: Based on the threshold value and offset value corresponding to each frequency band, the carrier screening threshold corresponding to each frequency band is determined. Based on the carrier filtering threshold corresponding to each frequency band, the auxiliary carriers corresponding to each frequency band within the cluster are filtered to obtain the effective auxiliary carriers corresponding to each frequency band within the cluster.
[0119] In this embodiment of the specification, the auxiliary carrier configuration process includes auxiliary carrier addition process. The carrier configuration module 1004 is used to: determine whether to add an auxiliary carrier to the user equipment based on the signal quality of the primary carrier of the user equipment in the cluster. If it is determined that a secondary carrier needs to be added to the user equipment, the user equipment within the cluster is processed by adding a secondary carrier according to the effective secondary carriers corresponding to each frequency band.
[0120] In the embodiments of this specification, the secondary carrier configuration processing includes secondary carrier deletion processing and / or secondary carrier addition processing. The carrier configuration module 1004 is used for: Based on the threshold values corresponding to each frequency band and the signal quality of the secondary carriers of user equipment within the cluster, it is determined whether there are target secondary carriers to be deleted in the secondary carriers of the user equipment. If the target secondary carrier is found to exist in the secondary carriers of the user equipment, the target secondary carrier is deleted, and the user equipment is added using the valid secondary carrier.
[0121] In this embodiment of the specification, the carrier configuration module 1004 is used for: When there are multiple clusters corresponding to the user equipment to be configured, obtain the effective secondary carriers for the same frequency band for each cluster; Based on the carrier configuration requirements of the user equipment to be configured, the effective secondary carriers for the same frequency band of each cluster are filtered to obtain the target effective secondary carriers for each frequency band. The user equipment to be configured is configured using the target effective secondary carrier.
[0122] This specification provides a base station that can perform gridding processing on the network coverage area. Based on the signal quality of each frequency band within each grid and the number of user equipment in each grid, target grids that meet preset carrier aggregation conditions are selected from the grids of the network coverage area. The target grids are then clustered to obtain clusters. Based on the signal quality of each frequency band within the target grid corresponding to the cluster, a threshold value corresponding to each frequency band is determined. Based on the threshold values corresponding to each frequency band, effective secondary carriers corresponding to each frequency band within the cluster are determined. Through the effective secondary carriers, secondary carrier configuration processing is performed on the user equipment within the cluster. In this way, by selecting target grids and clustering them, areas where users gather and initiate a lot of services (i.e., areas corresponding to clusters) can be discovered. Then, for the selected area, a threshold value corresponding to each frequency band can be determined according to the signal quality of each frequency band within that area. Based on the threshold values, effective secondary carriers corresponding to each frequency band are selected. This avoids the problem of low efficiency and accuracy in determining effective secondary carriers caused by using static thresholds for effective secondary carrier selection, thus improving the carrier aggregation effect of the base station.
[0123] The above describes the carrier configuration method provided in the embodiments of this specification. Based on the same idea, the embodiments of this specification also provide a base station, such as... Figure 11 As shown, the base station 110 includes: a transceiver 1101 and a processor 1102; The processor 1102 is used to perform rasterization processing on the network coverage area; The processor 1102 is also used to filter out target grids that meet preset carrier aggregation conditions from the grids of the network coverage area based on the signal quality of each frequency band in each grid and the number of user equipment in each grid. The processor 1102 is further configured to perform clustering processing on the target grid to obtain clusters; The processor 1102 is further configured to determine the threshold value corresponding to each frequency band based on the signal quality of each frequency band within the target grid corresponding to the cluster. The processor 1102 is further configured to determine the effective secondary carriers corresponding to each frequency band within the cluster based on the threshold values corresponding to each frequency band, so as to perform secondary carrier configuration processing on the user equipment within the cluster through the effective secondary carriers.
[0124] Optionally, the processor 1102 is further configured to: The signal quality of each frequency band in each grid is determined based on the reference signal received power of the user equipment corresponding to each frequency band in each grid. Based on the frequency band type and number contained in each grid, the signal quality of each frequency band in each grid, and the number of user equipment in each grid, target grids that meet the preset carrier aggregation conditions are selected from the grids in the network coverage area.
[0125] Optionally, the preset carrier aggregation conditions include one or more of quality conditions, quantity conditions, and aggregation conditions. The quality conditions are used to measure whether the grid meets the signal quality requirements based on the signal quality of each frequency band within the grid. The quantity conditions are used to measure whether the grid meets the user quantity requirements based on the number of user equipment within the grid. The aggregation conditions are used to measure whether the grid meets the carrier aggregation requirements based on the frequency band type and the number of frequency bands contained within the grid.
[0126] Optionally, the processor 1102 is further configured to: Based on a preset number of clusters and the number of other target grids that have a preset proximity relationship with each target grid, the target grids are clustered to obtain the clusters.
[0127] Optionally, the processor 1102 is further configured to: Based on the threshold value and offset value corresponding to each frequency band, the carrier screening threshold corresponding to each frequency band is determined. Based on the carrier filtering threshold corresponding to each frequency band, the auxiliary carriers corresponding to each frequency band within the cluster are filtered to obtain the effective auxiliary carriers corresponding to each frequency band within the cluster.
[0128] Optionally, the secondary carrier configuration process includes secondary carrier addition processing, and the processor 1102 is further configured to: Based on the signal quality of the primary carrier of the user equipment within the cluster, determine whether to add a secondary carrier to the user equipment; If it is determined that a secondary carrier needs to be added to the user equipment, the user equipment within the cluster is processed by adding a secondary carrier according to the effective secondary carriers corresponding to each frequency band.
[0129] Optionally, the secondary carrier configuration process includes secondary carrier deletion processing and / or secondary carrier addition processing, and the processor 1102 is further configured to: Based on the threshold values corresponding to each frequency band and the signal quality of the secondary carriers of user equipment within the cluster, it is determined whether there are target secondary carriers to be deleted in the secondary carriers of the user equipment. If the target secondary carrier is found to exist in the secondary carriers of the user equipment, the target secondary carrier is deleted, and the user equipment is added using the valid secondary carrier.
[0130] Optionally, the processor 1102 is further configured to: When there are multiple clusters corresponding to the user equipment to be configured, obtain the effective secondary carriers for the same frequency band for each cluster; Based on the carrier configuration requirements of the user equipment to be configured, the effective secondary carriers for the same frequency band of each cluster are filtered to obtain the target effective secondary carriers for each frequency band. The user equipment to be configured is configured using the target effective secondary carrier.
[0131] This specification provides a base station that can perform gridding processing on the network coverage area. Based on the signal quality of each frequency band within each grid and the number of user equipment in each grid, target grids that meet preset carrier aggregation conditions are selected from the grids of the network coverage area. The target grids are then clustered to obtain clusters. Based on the signal quality of each frequency band within the target grid corresponding to the cluster, a threshold value corresponding to each frequency band is determined. Based on the threshold values corresponding to each frequency band, effective secondary carriers corresponding to each frequency band within the cluster are determined. Through the effective secondary carriers, secondary carrier configuration processing is performed on the user equipment within the cluster. In this way, by selecting target grids and clustering them, areas where users gather and initiate a lot of services (i.e., areas corresponding to clusters) can be discovered. Then, for the selected area, a threshold value corresponding to each frequency band can be determined according to the signal quality of each frequency band within that area. Based on the threshold values, effective secondary carriers corresponding to each frequency band are selected. This avoids the problem of low efficiency and accuracy in determining effective secondary carriers caused by using static thresholds for effective secondary carrier selection, thus improving the carrier aggregation effect of the base station.
[0132] Following the same line of thought, this specification also provides a base station, such as... Figure 12 As shown, the base station 120 includes a processor 121, a memory 122, and a program stored in the memory 122 and executable on the processor 121. When the processor 121 executes the program, it performs the following steps: The network coverage area is rasterized; Based on the signal quality of each frequency band in each grid and the number of user equipment in each grid, target grids that meet the preset carrier aggregation conditions are selected from the grids in the network coverage area. The target grid is clustered to obtain clusters; Based on the signal quality of each frequency band within the target grid corresponding to the cluster, determine the threshold value corresponding to each frequency band; Based on the threshold values corresponding to each frequency band, the effective secondary carriers corresponding to each frequency band within the cluster are determined, so as to perform secondary carrier configuration processing on the user equipment within the cluster through the effective secondary carriers.
[0133] Optionally, when the processor 121 executes the program, it may also perform the following steps: The signal quality of each frequency band in each grid is determined based on the reference signal received power of the user equipment corresponding to each frequency band in each grid. Based on the frequency band type and number contained in each grid, the signal quality of each frequency band in each grid, and the number of user equipment in each grid, target grids that meet the preset carrier aggregation conditions are selected from the grids in the network coverage area.
[0134] Optionally, when the processor 121 executes the program, it may also perform the following steps: Based on the threshold value and offset value corresponding to each frequency band, the carrier screening threshold corresponding to each frequency band is determined. Based on the carrier filtering threshold corresponding to each frequency band, the auxiliary carriers corresponding to each frequency band within the cluster are filtered to obtain the effective auxiliary carriers corresponding to each frequency band within the cluster.
[0135] Optionally, the secondary carrier configuration process includes secondary carrier addition processing, and the processor 121 may further implement the following steps when executing the program: Based on the signal quality of the primary carrier of the user equipment within the cluster, determine whether to add a secondary carrier to the user equipment; If it is determined that a secondary carrier needs to be added to the user equipment, the user equipment within the cluster is processed by adding a secondary carrier according to the effective secondary carriers corresponding to each frequency band.
[0136] Optionally, the secondary carrier configuration process includes secondary carrier deletion processing and / or secondary carrier addition processing, and the processor 121 may also implement the following steps when executing the program: Based on the threshold values corresponding to each frequency band and the signal quality of the secondary carriers of user equipment within the cluster, it is determined whether there are target secondary carriers to be deleted in the secondary carriers of the user equipment. If the target secondary carrier is found to exist in the secondary carriers of the user equipment, the target secondary carrier is deleted, and the user equipment is added using the valid secondary carrier.
[0137] This specification provides a base station that can perform gridding processing on the network coverage area. Based on the signal quality of each frequency band within each grid and the number of user equipment in each grid, target grids that meet preset carrier aggregation conditions are selected from the grids of the network coverage area. The target grids are then clustered to obtain clusters. Based on the signal quality of each frequency band within the target grid corresponding to the cluster, a threshold value corresponding to each frequency band is determined. Based on the threshold values corresponding to each frequency band, effective secondary carriers corresponding to each frequency band within the cluster are determined. Through the effective secondary carriers, secondary carrier configuration processing is performed on the user equipment within the cluster. In this way, by selecting target grids and clustering them, areas where users gather and initiate a lot of services (i.e., areas corresponding to clusters) can be discovered. Then, for the selected area, a threshold value corresponding to each frequency band can be determined according to the signal quality of each frequency band within that area. Based on the threshold values, effective secondary carriers corresponding to each frequency band are selected. This avoids the problem of low efficiency and accuracy in determining effective secondary carriers caused by using static thresholds for effective secondary carrier selection, thus improving the carrier aggregation effect of the base station.
[0138] Furthermore, based on the above Figures 1 to 9 The method shown in this specification, along with one or more embodiments, also provides a storage medium for storing computer-executable instruction information. In one specific embodiment, the storage medium can be a USB flash drive, optical disc, hard disk, etc. When the computer-executable instruction information stored in the storage medium is executed by a processor, it can achieve the following process: The network coverage area is rasterized; Based on the signal quality of each frequency band in each grid and the number of user equipment in each grid, target grids that meet the preset carrier aggregation conditions are selected from the grids in the network coverage area. The target grid is clustered to obtain clusters; Based on the signal quality of each frequency band within the target grid corresponding to the cluster, determine the threshold value corresponding to each frequency band; Based on the threshold values corresponding to each frequency band, the effective secondary carriers corresponding to each frequency band within the cluster are determined, so as to perform secondary carrier configuration processing on the user equipment within the cluster through the effective secondary carriers.
[0139] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the above-described embodiment of a computer program product is relatively simple in description because it is fundamentally similar to the method embodiment; relevant parts can be referred to the description of the method embodiment.
[0140] This specification provides a storage medium that can perform gridding processing on a network coverage area. Based on the signal quality of each frequency band within each grid and the number of user equipment in each grid, target grids that meet preset carrier aggregation conditions are selected from the grids of the network coverage area. The target grids are then clustered to obtain clusters. Based on the signal quality of each frequency band within the target grid corresponding to the cluster, a threshold value corresponding to each frequency band is determined. Based on the threshold values corresponding to each frequency band, effective secondary carriers corresponding to each frequency band within the cluster are determined. Through the effective secondary carriers, secondary carrier configuration processing is performed on the user equipment within the cluster. In this way, by selecting target grids and clustering them, areas where users gather and initiate a lot of services (i.e., areas corresponding to clusters) can be discovered. Then, for the selected area, a threshold value corresponding to each frequency band can be determined based on the signal quality of each frequency band within that area. Based on the threshold values, effective secondary carriers corresponding to each frequency band are selected. This avoids the problem of low efficiency and accuracy in determining effective secondary carriers caused by using static thresholds for effective secondary carrier selection, and improves the carrier aggregation effect of the base station.
[0141] Furthermore, based on the above Figures 1 to 9 The method shown in this specification, along with one or more embodiments, also provides a computer program product including a computer program that, when executed by a processor, performs the following process: The network coverage area is rasterized; Based on the signal quality of each frequency band in each grid and the number of user equipment in each grid, target grids that meet the preset carrier aggregation conditions are selected from the grids in the network coverage area. The target grid is clustered to obtain clusters; Based on the signal quality of each frequency band within the target grid corresponding to the cluster, determine the threshold value corresponding to each frequency band; Based on the threshold values corresponding to each frequency band, the effective secondary carriers corresponding to each frequency band within the cluster are determined, so as to perform secondary carrier configuration processing on the user equipment within the cluster through the effective secondary carriers.
[0142] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the above-described embodiment of a computer program product is relatively simple in description because it is fundamentally similar to the method embodiment; relevant parts can be referred to the description of the method embodiment.
[0143] This specification provides a computer program product that can perform gridding processing on a network coverage area. Based on the signal quality of each frequency band within each grid and the number of user equipment in each grid, target grids that meet preset carrier aggregation conditions are selected from the grids of the network coverage area. The target grids are then clustered to obtain clusters. Based on the signal quality of each frequency band within the target grid corresponding to the cluster, a threshold value corresponding to each frequency band is determined. Based on the threshold values corresponding to each frequency band, effective secondary carriers corresponding to each frequency band within the cluster are determined. Through the effective secondary carriers, secondary carrier configuration processing is performed on the user equipment within the cluster. In this way, by selecting target grids and clustering them, areas where users are concentrated and initiate a lot of services (i.e., areas corresponding to clusters) can be discovered. Then, for the selected area, a threshold value corresponding to each frequency band can be determined based on the signal quality of each frequency band within that area. Based on the threshold values, effective secondary carriers corresponding to each frequency band are selected. This avoids the problem of low efficiency and accuracy in determining effective secondary carriers caused by using static thresholds for effective secondary carrier selection, and improves the carrier aggregation effect of the base station.
[0144] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.
[0145] In the 1990s, improvements to a technology could be clearly distinguished as either hardware improvements (e.g., improvements to the circuit structure of diodes, transistors, switches, etc.) or software improvements (improvements to the methodology). However, with technological advancements, many methodological improvements today can be considered direct improvements to the hardware circuit structure. Designers almost always obtain the corresponding hardware circuit structure by programming the improved methodology into the hardware circuit. Therefore, it cannot be said that a methodological improvement cannot be implemented using hardware physical modules. For example, a Programmable Logic Device (PLD) (such as a Field Programmable Gate Array (FPGA)) is such an integrated circuit whose logic function is determined by the user programming the device. Designers can program and "integrate" a digital system onto a PLD themselves, without needing chip manufacturers to design and manufacture dedicated integrated circuit chips. Furthermore, nowadays, instead of manually manufacturing integrated circuit chips, this programming is mostly implemented using "logic compiler" software. Similar to the software compiler used in program development, the original code before compilation must also be written in a specific programming language, called a Hardware Description Language (HDL). There are many HDLs, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, and RHDL (Ruby Hardware Description Language). Currently, the most commonly used are VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog. Those skilled in the art should also understand that by simply performing some logic programming on the method flow using one of these hardware description languages and programming it into an integrated circuit, the hardware circuit implementing the logical method flow can be easily obtained.
[0146] The controller can be implemented in any suitable manner. For example, it can take the form of a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro)processor, logic gates, switches, application-specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers. Examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicon Labs C8051F320. A memory controller can also be implemented as part of the control logic of the memory. Those skilled in the art will also recognize that, in addition to implementing the controller in purely computer-readable program code form, the same functionality can be achieved by logically programming the method steps to make the controller take the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers. Therefore, such a controller can be considered a hardware component, and the means included therein for implementing various functions can also be considered as structures within the hardware component. Alternatively, the means for implementing various functions can be considered as both software modules implementing the method and structures within the hardware component.
[0147] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.
[0148] For ease of description, the above apparatus is described by dividing it into various functional units. Of course, when implementing one or more embodiments of this specification, the functions of each unit can be implemented in one or more software and / or hardware.
[0149] Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, one or more embodiments of this specification may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, one or more embodiments of this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0150] Embodiments in this specification are described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this specification. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable parallel device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable parallel device, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0151] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable fraud device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0152] These computer program instructions can also be loaded onto a computer or other programmable device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable device for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0153] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.
[0154] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.
[0155] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.
[0156] It should also be noted that 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 limitation, 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 said element.
[0157] Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, one or more embodiments of this specification may take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, one or more embodiments of this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0158] One or more embodiments of this specification can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a particular task or implement a particular abstract data type. One or more embodiments of this specification can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.
[0159] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.
[0160] The above description is merely an embodiment of this specification and is not intended to limit this document. Various modifications and variations can be made to this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this specification should be included within the scope of the claims of this specification.
Claims
1. A carrier configuration method, the method being applied to a base station, characterized in that, The method includes: The network coverage area is rasterized; Based on the signal quality of each frequency band in each grid and the number of user equipment in each grid, target grids that meet the preset carrier aggregation conditions are selected from the grids in the network coverage area. The target grid is clustered to obtain clusters; Based on the signal quality of each frequency band within the target grid corresponding to the cluster, a threshold value corresponding to each frequency band is determined, wherein the threshold value corresponding to each frequency band is determined based on the RSRP value of the sampling point selected based on the signal strength of each frequency band. Based on the threshold values corresponding to each frequency band, the effective secondary carriers corresponding to each frequency band within the cluster are determined, so as to perform secondary carrier configuration processing on the user equipment within the cluster through the effective secondary carriers.
2. The method according to claim 1, characterized in that, The step of selecting target grids that meet preset carrier aggregation conditions from the grids in the network coverage area based on the signal quality of each frequency band within each grid and the number of user equipment within each grid includes: The signal quality of each frequency band in each grid is determined based on the reference signal received power of the user equipment corresponding to each frequency band in each grid. Based on the frequency band type and number contained in each grid, the signal quality of each frequency band in each grid, and the number of user equipment in each grid, target grids that meet the preset carrier aggregation conditions are selected from the grids in the network coverage area.
3. The method according to claim 2, characterized in that, The preset carrier aggregation conditions include one or more of quality conditions, quantity conditions, and aggregation conditions. The quality conditions are used to measure whether the grid meets the signal quality requirements based on the signal quality of each frequency band within the grid. The quantity conditions are used to measure whether the grid meets the user quantity requirements based on the number of user equipment within the grid. The aggregation conditions are used to measure whether the grid meets the carrier aggregation requirements based on the frequency band type and the number of frequency bands contained within the grid.
4. The method according to claim 1, characterized in that, The clustering process of the target raster to obtain clusters includes: Based on a preset number of clusters and the number of other target grids that have a preset proximity relationship with each target grid, the target grids are clustered to obtain the clusters.
5. The method according to claim 1, characterized in that, The step of determining the effective secondary carriers corresponding to each frequency band within the cluster based on the threshold values corresponding to each frequency band includes: Based on the threshold value and offset value corresponding to each frequency band, the carrier screening threshold corresponding to each frequency band is determined; Based on the carrier filtering threshold corresponding to each frequency band, the auxiliary carriers corresponding to each frequency band within the cluster are filtered to obtain the effective auxiliary carriers corresponding to each frequency band within the cluster.
6. The method according to claim 1, characterized in that, The secondary carrier configuration process includes secondary carrier addition processing. The secondary carrier configuration processing for user equipment within the cluster using the effective secondary carrier includes: Based on the signal quality of the primary carrier of the user equipment within the cluster, determine whether to add a secondary carrier to the user equipment; If it is determined that a secondary carrier needs to be added to the user equipment, the user equipment within the cluster is processed by adding a secondary carrier according to the effective secondary carriers corresponding to each frequency band.
7. The method according to claim 1, characterized in that, The secondary carrier configuration process includes secondary carrier deletion and / or secondary carrier addition. The secondary carrier configuration process for user equipment within the cluster using the effective secondary carriers includes: Based on the threshold values corresponding to each frequency band and the signal quality of the secondary carriers of user equipment within the cluster, it is determined whether there are any target secondary carriers to be deleted in the secondary carriers of the user equipment. If the target secondary carrier is found to exist in the secondary carriers of the user equipment, the target secondary carrier is deleted, and the user equipment is added using the valid secondary carrier.
8. The method according to claim 1, characterized in that, The process of configuring secondary carriers for user equipment within the cluster using the effective secondary carriers includes: When there are multiple clusters corresponding to the user equipment to be configured, obtain the effective secondary carriers for the same frequency band for each cluster; Based on the carrier configuration requirements of the user equipment to be configured, the effective secondary carriers for the same frequency band of each cluster are filtered to obtain the target effective secondary carriers for each frequency band. The user equipment to be configured is configured using the target effective secondary carrier.
9. A base station, characterized in that, include: The raster processing module is used to rasterize the network coverage area; The grid filtering module is used to filter target grids that meet preset carrier aggregation conditions from the grids in the network coverage area based on the signal quality of each frequency band in each grid and the number of user equipment in each grid. The grid clustering module is used to perform clustering processing on the target grid to obtain clusters; The threshold determination module is used to determine the threshold value corresponding to each frequency band based on the signal quality of each frequency band within the target grid corresponding to the cluster, wherein the threshold value corresponding to each frequency band is determined based on the RSRP value of the sampling point selected based on the signal strength of each frequency band. The carrier configuration module is used to determine the effective secondary carriers corresponding to each frequency band within the cluster based on the threshold values corresponding to each frequency band, so as to perform secondary carrier configuration processing on the user equipment within the cluster through the effective secondary carriers.
10. A base station, characterized in that, include: Transceiver and processor; The processor is used to perform rasterization processing on the network coverage area; The processor is also used to filter out target grids that meet preset carrier aggregation conditions from the grids of the network coverage area based on the signal quality of each frequency band in each grid and the number of user equipment in each grid. The processor is further configured to perform clustering processing on the target grid to obtain clusters; The processor is further configured to determine a threshold value corresponding to each frequency band based on the signal quality of each frequency band within the target grid corresponding to the cluster, wherein the threshold value corresponding to each frequency band is determined based on the RSRP value of the sampling point selected based on the signal strength of each frequency band. The processor is further configured to determine the effective secondary carriers corresponding to each frequency band within the cluster based on the threshold values corresponding to each frequency band, so as to perform secondary carrier configuration processing on the user equipment within the cluster through the effective secondary carriers.
11. A base station, comprising a memory, a processor, and a program stored in the memory and executable on the processor; characterized in that, When the processor executes the program, it implements the steps in the carrier configuration method as described in any one of claims 1 to 8.
12. A readable storage medium having a program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the carrier configuration method as described in any one of claims 1 to 8.
13. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the steps of the carrier configuration method according to any one of claims 1 to 8.
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