CN115442820B - Cell service optimization method and device and electronic equipment - Google Patents

Abstract

The invention provides a cell service optimization method, a cell service optimization device and electronic equipment. The method comprises the following steps: and determining the downlink rates of the single user air interface of the serving cell and the neighbor cell of the target user. And selecting a matched target level adjustment strategy from a preset first level adjustment strategy and a preset second level adjustment strategy based on the comparison condition of the downlink rate of a single user air interface between the serving cell and the adjacent cell, wherein the first level adjustment strategy is used for compensating the user experience rate difference between the serving cell and the adjacent cell, determining the compensation level of the serving cell for the target user, and the first level adjustment strategy is used for compensating the path loss difference between the serving cell and the adjacent cell and determining the compensation level of the serving cell for the target user. And adjusting the level of the serving cell for the target user according to the target level compensation strategy. The scheme of the invention can comprehensively consider service experience and signal coverage, and adjust the level of the cell to realize cell service optimization.

Description

A cell service optimization method, device and electronic equipment

Technical Field

This document relates to the field of vehicle application technology, and in particular to a cell service optimization method, device and electronic equipment.

Background technique

As mobile traffic continues to grow rapidly, service imbalances are becoming more and more obvious, and changes in user behavior habits have led to an increasingly strong demand for high-speed, low-latency service assurance for video, games, and other services. At the same time, mobile networks are becoming larger and larger, with multiple scenarios, multiple frequency bands, and multiple standards coexisting. Different standards and frequency bands have large differences in uplink and downlink capacity and coverage capabilities.

How to fully tap the existing network cell resources to optimize user experience and achieve the best benefits is the technical problem to be solved by this application.

Summary of the invention

The purpose of the embodiments of the present invention is to provide a method, device and electronic device for optimizing cell services, which can comprehensively consider service experience and signal coverage, adjust the level of the cell, and achieve cell service optimization.

In order to achieve the above object, the embodiment of the present invention is implemented as follows:

In a first aspect, a cell service optimization method is provided, comprising:

Determine the single-user air interface downlink rate of the target user's serving cell and neighboring cells;

Based on a comparison of single-user air interface downlink rates between the serving cell and the neighboring cell, a matching target level adjustment strategy is selected from a pre-set first level adjustment strategy and a second level adjustment strategy, wherein the first level adjustment strategy is used to compensate for the user experience rate difference between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the target user, and the second level adjustment strategy is used to compensate for the path loss difference between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the above target user;

According to the target level compensation strategy, the level of the serving cell for the target user is adjusted.

In a second aspect, a cell service optimization device is provided, comprising:

A downlink rate determination module determines the single-user air interface downlink rate of the target user's serving cell and neighboring cell;

an adjustment strategy selection module, based on a comparison of single-user air interface downlink rates between the serving cell and the neighboring cell, selecting a matching target level adjustment strategy from a pre-set first level adjustment strategy and a second level adjustment strategy, wherein the first level adjustment strategy is used to compensate for the user experience rate difference between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the target user, and the second level adjustment strategy is used to compensate for the path loss difference between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the above-mentioned target user;

The level adjustment execution module adjusts the level of the serving cell for the target user according to the target level compensation strategy.

In a third aspect, an electronic device is provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is executed by the processor:

Determine the single-user air interface downlink rate of the target user's serving cell and neighboring cells;

Based on a comparison of single-user air interface downlink rates between the serving cell and the neighboring cell, a matching target level adjustment strategy is selected from a pre-set first level adjustment strategy and a second level adjustment strategy, wherein the first level adjustment strategy is used to compensate for the user experience rate difference between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the target user, and the second level adjustment strategy is used to compensate for the path loss difference between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the above target user;

According to the target level compensation strategy, the level of the serving cell for the target user is adjusted.

In a fourth aspect, a computer-readable storage medium is provided, wherein a computer program is stored on the computer-readable storage medium, wherein when the computer program is executed by a processor, the following steps are implemented:

Determine the single-user air interface downlink rate of the target user's serving cell and neighboring cells;

Based on a comparison of single-user air interface downlink rates between the serving cell and the neighboring cell, a matching target level adjustment strategy is selected from a pre-set first level adjustment strategy and a second level adjustment strategy, wherein the first level adjustment strategy is used to compensate for the user experience rate difference between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the target user, and the second level adjustment strategy is used to compensate for the path loss difference between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the above target user;

According to the target level compensation strategy, the level of the serving cell for the target user is adjusted.

The solution of the embodiment of the present invention integrates multiple factors such as cell network resources, parameter configuration, network structure, wireless environment, uplink and downlink interference, etc., establishes an evaluation system for the single-user air interface downlink rate, and uses the comparison of the single-user air interface downlink rate of the serving cell and the neighboring cell as a standard to implement a level adjustment strategy that comprehensively considers service experience and signal coverage, thereby more finely optimizing the cell service.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

FIG1 is a schematic diagram of a first flow chart of a cell service optimization method provided in an embodiment of the present invention.

FIG. 2 is a schematic diagram of a second flow chart of the cell service optimization method provided in an embodiment of the present invention.

FIG3 is a schematic diagram of the structure of a cell service optimization device provided in an embodiment of the present invention.

FIG. 4 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention.

Detailed ways

In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments in this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

As mentioned above, as the scale of mobile networks grows, multiple scenarios, multiple frequency bands, and multiple standards coexist, and different standards and frequency bands have large differences in uplink and downlink capacity and coverage capabilities. This application aims to propose a cell service optimization solution to fully tap cell resources to achieve optimal benefits.

FIG1 is a flow chart of a cell service optimization method according to an embodiment of the present invention, comprising the following steps:

S102: Determine single-user air interface downlink rates of a serving cell and a neighboring cell of a target user.

In the embodiment of the present invention, the single-user air interface downlink rate can be used as a standard for evaluating the cell service quality. The single-user air interface downlink rate can be determined based on the theoretical maximum downlink rate of the cell, the structure factor, the single-user service carrying capacity factor and the coverage interference factor.

in:

The theoretical maximum downlink rate is determined by the configuration of the cell. Cells have different theoretical maximum downlink rates under different power levels, frequency bands, and standards.

The structural factor is determined based on the maximum service carrying rate of the cell and is affected by the cell's CFI (indicating the number of symbols occupied by the PDCCH), RANK (single or dual stream mode), and TM (standard).

The single-user service carrying capacity factor is determined based on the proportion of network resources obtained by a single user for video services. For example, on the basis of meeting the non-video service 2Mbps, the proportion of resources that a single user can obtain for video services in the cell is related to factors such as the service model and retransmission rate.

The coverage interference factor is determined according to the efficiency of the channel quality indication (CQI) of the cell and is closely related to the coverage and interference distribution of the cell.

It can be seen that this step combines multiple factors such as cell network resources, parameter configuration, network structure, wireless environment, uplink and downlink interference, and establishes a corresponding single-user air interface downlink rate evaluation system.

S104, based on the comparison of the single-user air interface downlink rate between the serving cell and the neighboring cell, a matching target level adjustment strategy is selected from the pre-set first level adjustment strategy and the second level adjustment strategy, wherein the first level adjustment strategy is to compensate for the difference in user experience rate between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the target user, and the second level adjustment strategy is to compensate for the difference in path loss between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the target user.

It should be understood that user experience rate and path loss are two dimensions for evaluating cell service quality, both of which are affected by the level, but do not present the same linear relationship with the level.

This step uses the neighboring cells as references and determines the level adjustment strategy of the serving cell suitable for the target user by comparing the single-user air interface downlink rate.

for example:

When the single-user air interface downlink rate of the serving cell and/or the neighboring cell does not reach the preset rate threshold, and the difference in the single-user air interface downlink rate between the serving cell and the neighboring cell reaches a preset proportion of the single-user air interface downlink rate ratio of the serving cell, a first level compensation strategy is selected as the target level adjustment strategy. That is, the compensation level of the serving cell for the target user is adjusted for the purpose of compensating for the user experience rate difference between the serving cell and the neighboring cell;

When the single-user air interface downlink rates of the serving cell and the neighboring cell both reach the preset rate threshold, and the difference in path loss between the serving cell and the neighboring cell is greater than the preset difference threshold, the second level compensation strategy is selected as the target level adjustment strategy. That is, the compensation level of the serving cell for the target user is adjusted for the purpose of compensating for the difference in path loss between the serving cell and the neighboring cell.

It should be understood that adjusting the level of the serving cell for the target user can change the user experience rate difference and path loss difference between the serving cell and the neighboring cell at the same time, but different starting points will result in different change gains for the two.

S106: Adjust the level of the serving cell for the target user according to the target level compensation strategy.

The method of the embodiment of the present invention integrates multiple factors such as cell network resources, parameter configuration, network structure, wireless environment, uplink and downlink interference, etc., establishes an evaluation system for the single-user air interface downlink rate, and uses the comparison of the single-user air interface downlink rate of the serving cell and the neighboring cell as a standard to implement a level adjustment strategy that comprehensively considers service experience and signal coverage, thereby more finely optimizing the cell service.

Further, based on the above, the method of the embodiment of the present invention can also be verified after the level adjustment to optimize the level adjustment range of the level adjustment strategy.

Here, an amplitude weight for controlling the level compensation amplitude can be set in the function used by the first level adjustment strategy and the second level adjustment strategy to calculate the compensation level, and a function for calculating the serving cell competition decision parameter can be generated based on the function of the first level adjustment strategy and the second level adjustment strategy. Afterwards, based on the proportional differential integral PID algorithm, the proportional, integral and differential control item calculations are performed based on the difference between the adjusted serving cell competition decision parameter and the expected competition adjustment parameter, the target control coefficient is determined, and the amplitude weights corresponding to the first receiving level compensation strategy and the second receiving level compensation strategy are adjusted based on the target control coefficient.

It should be understood that each time a level adjustment is performed on a serving cell, an amplitude weight optimization can be performed accordingly. In practical applications, if multiple level adjustments need to be performed on a serving cell, iterative optimization of the amplitude weight can be implemented, so that the cell adjustment effect is closer to the optimal solution.

The method of the embodiment of the present invention is described in detail below in conjunction with actual application scenarios.

This application scenario provides an optimization solution for cell services for edge users, which can identify users who trigger event-type measurement reports MRE as edge users. The corresponding process includes:

Based on the existing network engineering parameter data, collect MR (including period, event, UEMR measurement report), XDR and wireless call statistics data for the cells in the area where parameter adjustment is required. The data is used as follows:

Afterwards, based on XDR, MR, and traffic statistics data, combined with multiple factors such as bandwidth resources, network parameter configuration, wireless environment, coverage, and interference, a capacity assessment model for cell edge users is established to calculate the guaranteed air interface rate for a single user.

The model function of the single-user air interface downlink rate is as follows

CellUserRate@RSRP＝CellPeakRate*Cellframefactor*UserVideofactor*Interffactor@RSRP.

Among them: CellUserRate@RSRP represents the single-user air interface downlink rate under the reference signal received power (RSRP), and RSRP can be expressed as a value through a level; Cellframefactor represents the structure factor, UserVideofactor represents the single-user service carrying capacity factor, and Interffactor@RSRP represents the coverage interference factor under RSRP.

The following is a detailed calculation description of each parameter factor. For ease of understanding, a function (lookup) can be defined to represent the action of searching for an output item (result) in a table (table) based on several input parameters (parameter x): Lookup (table, result, parameter1, parameter2, parameter3, ...).

(1) CellPeakRate calculation:

There are many factors that affect the peak rate, including duplex mode (FDD/TDD), bandwidth (number of RBs), uplink and downlink subframe ratio and special subframe ratio in TD-LTE, control channel overhead, modulation and coding method, MIMO configuration, terminal capabilities, etc.

Taking TDD as an example, the downlink peak rate of one radio frame = ([Number of available REs for each downlink subframe] * [Modulation coefficient] * [MIMO mode] + [Number of available REs for special subframes] * [Modulation coefficient] * [MIMO mode]). The number of available REs calculated for each subframe is different, and the overheads such as PDCCH, PBCH, SSS, PSS, and CRS in each subframe need to be deducted.

The theoretical maximum rate of the cell is calculated based on the specifications and parameter configuration. The maximum rate of the cell corresponding to different CFI, RANK, and TM is calculated, and a rate comparison table Table _throughput is constructed.

In the above table, MA indicates the cell standard; BW indicates the cell bandwidth; RB indicates the resource unit for service channel resource allocation; SA indicates the uplink and downlink subframe ratio of the cell; SSP indicates the number of DwPTS symbols in the special subframe of the cell; CFI indicates the number of symbols occupied by the cell PDCCH in the subframe, indicating 1, 2, and 3; Rank indicates the single or double stream indication of the cell; TM indicates the transmission mode.

2) Cellframefactor calculation:

Affected by the CFI, RANK, and TM factors of the cell, and related to the cell coverage characteristics. According to the wireless traffic statistics data, the proportion of cells with CFI of 1 to 3, W _CFI , the proportion of RANK, W _RANK , and the proportion of TM, W _TM , are counted, and the maximum rate of cell service bearer is calculated based on this (without considering modulation and coding efficiency, that is, assuming CQI = 15).

Look up the _throughput table to obtain the rates under different configurations and weight them according to the occupancy ratio. The formula for the maximum rate of cell service carrying is as follows:

Divide the weighted aggregate rate by the maximum rate that can be configured for the cell to obtain the cell structure factor, which is calculated as follows:

(3) UserVideofactor calculation:

The network management platform is used to count the traffic and number of users of different services in the cell, and a guaranteed rate of xMbps is provided for non-video traffic. The EB function is called, and the statistics of MCS29-31 are eliminated to eliminate the impact of retransmission and calculate the guaranteed resources for non-video services in the cell.

The calculation formula for the cell non-video service guarantee resources is as follows:

Among them, CellNonVideoThroughput indicates the non-video service guarantee resources of the cell;

Num _MCS indicates the statistics of the cell's corresponding modulation and coding strategy (MCS); BIT _MCS indicates the coding efficiency of the cell under the MCS; BIT _MCS＝28 indicates the coding efficiency of the cell under MCS＝28, and MCS＝28 is the preferred configuration for video services; EB(α, xMbps, y％ blocking rate) indicates the product capability query cell's service guarantee capacity requirement when the cell meets the xMbps and y％ blocking rate requirements under the traffic of α. xMbps is the preset traffic threshold requirement, and y％ is the preset blocking rate requirement.

The average concurrent number of video services is calculated based on the video service receipts on the network management platform, as follows:

Among them, VideoConcurrencyNo indicates the number of concurrent video services in the cell; TotalVideoServiceTime indicates the total duration of video service data transmission in seconds; and 3600 is the number of seconds in one hour.

The calculation formula for the maximum guaranteed downlink rate of a single user (Th_G) is:

Since service quality problems are concentrated during busy hours, the mean of the guaranteed rates of the six busy hours of each cell is taken, and the standard deviation is subtracted to ensure that it is not lower than the minimum value. Th_G is corrected and calculated as follows:

Th_G _(modify) = Max(Avg(Th_G _i )-stddev(Th_G _i ), min(Th_G _i )) i = 1 to 6

Finally, the modified maximum guaranteed rate for a single video user can be used to calculate the single-user video service carrying factor:

(4) Interffactor@RSRP coverage Interference factor@RSRP calculation:

According to the known coding efficiency, an efficiency table Table _{CQI_Eff} of different CQIs relative to CQI=15 is constructed. In order to facilitate the subsequent calculation of CQI, the granularity of 0.05 is refined and filled with the difference value, which is recorded as: Efficiency=Lookup(Table _{CQI_Eff} , Efficiency, CQI).

The corresponding relationship between CQI and coding efficiency is shown in the following table:

CQI Coding Utilization 1 0.xx 1.05 0.xx 1.1 0.xx … … 14.9 0.xx 14.95 0.xx 15 0.xx

According to the statistics of event MR and periodic MR of each cell, the neighboring cell pair information is extracted for analysis. In the case of insufficient sampling points (MR number <x, x days of data accumulation can reach xx% data satisfaction), the cell's periodic MR data is used to supplement (weight xx%). Based on this, the distribution relationship of RSRP and CQI/pathloss in the overlapping area between neighboring cells is analyzed, and the comparison table Table _{RSRP_CQI_Pathloss} is constructed.

Among them, Table _{RSRP_CQI_Pathloss} is shown in the following table:

In the above table, enodebid represents the base station ID; cellid represents the cell ID; sercarrierfreq represents the frequency band; dlrsrp_s represents the level (downlink); dlcqi represents the channel quality indication (downlink); dlpathloss represents the path loss (downlink); and num represents the magnitude of the coding capability.

The CQI is obtained by looking up the RSRP table in the event-type MR as follows:

CQI@RSRP=Lookup(Tanle _{RSRP_CQI_pathloss} , CQI, ServingCell, NeighborCell, RSRP).

According to the average CQI of the cell in different level intervals in the corresponding overlapping coverage area, the CQI efficiency corresponding to RSRP is obtained by looking up the table, as shown below:

Interffacter@RSRP=Lookup(Table _{CQI_Eff} , Efficiency, CQI@RSRP).

2. Final model result output:

The single-user guaranteed rate for each cell corresponding to different RSRPs is calculated as follows:

Throughput@RSRP＝Th_G(modify)*Interffactor@RSRP

The comparison table _{RSRP_throughput_pathloss} is obtained as follows:

In the above table, _S represents the serving cell; _N represents the neighboring cell; and total_Num represents the coding capability level.

When checking the serving cell rate data through the serving cell RSRP, the following search is performed:

Throughput_S@RSRP＝Lookup(Table _{RSRP_throughput_pathloss} ,Throughput_S，ServingCell,NeighborCell,RSRP)

When checking the adjacent cell rate data through the serving cell RSRP, the following search is performed:

Throughput_N@RSRP＝Lookup(Table _{RSRP_throughput_pathloss} ,Throughput_N,ServingCell，NeighborCell,RSRP)

When checking the downlink path loss of the serving cell through the serving cell RSRP, the following search is performed:

Pathloss_S@RSRP＝Lookup(Table _{RSRP_throughput_pathloss} , Pathloss_S, ServingCell, NeighborCell, RSRP)

When checking the downlink path loss of the adjacent cell through the serving cell RSRP, the following search is performed:

Pathloss_N@RSRP＝Lookup(Table _{RSRP_throughput_pathloss} , Pathloss_N, ServingCell, NeighborCell, RSRP)

When checking RSRP by serving cell rate, perform the following search:

RSRP@throughput＝Lookup(Table _{RSRP_throughput_pathloss} , RSRP, ServingCell, NeighborCell, Throughput_s)

When the above search cannot accurately hit the target, the value is taken linearly.

Based on the above steps, the path loss (Pathloss) and single-user air interface downlink rate corresponding to different levels of the main cell and the neighboring cell can be determined. When the main cell and the neighboring cell meet the guaranteed rate, the path loss of the main and neighboring cells is judged. When the path loss difference is greater than the single-user guaranteed experience standard, the path loss difference is calculated to compensate for the difference and the compensation level is increased. When the main and neighboring cells do not meet the guaranteed rate, the experience difference is calculated to compensate for the difference and the compensation level is increased.

The specific judgment logic diagram is shown in Figure 2 (A is the serving cell, B is the neighboring cell):

If the single-user air interface downlink rate of the serving cell A and/or the neighboring cell B does not reach the preset rate threshold αMbps, and the difference in the single-user air interface downlink rate between the serving cell A and the neighboring cell B reaches a preset proportion γ of the single-user air interface downlink rate ratio of the serving cell, a first level compensation strategy (compensating for the user experience rate difference) is selected as the target level adjustment strategy;

If the single-user air interface downlink rates of the serving cell A and the neighboring cell B both reach the preset rate threshold αMbps, and the difference in the Pathloss difference between the serving cell A and the neighboring cell B is greater than the preset difference threshold βdB, the second level compensation strategy (to make up for the Pathloss difference between the serving cell A and the neighboring cell B) is selected as the target level adjustment strategy.

Here, αMbps represents the guaranteed experience standard for a single user, which can be set according to the actual 1080p video user demand and is 5.3Mbps; βdB represents the absolute value of the path loss difference between the serving cell A and the adjacent cell B, and 2dB is generally recommended; γ represents the guaranteed rate difference percentage between the serving cell A and the adjacent cell B, and 10% is generally recommended.

Specifically, the first level compensation strategy aims to compensate for the difference in user experience rate, and the function for calculating the compensation level is:

The second level compensation strategy aims to compensate for the pathloss difference. The function for calculating the compensation level is:

Pathloss_compensation = Min(Max((PathlossA-PathlossB)/2,-δ),δ).

Among them, δ is the amplitude weight of the control level compensation amplitude. The upper and lower adjustment limits are to avoid excessive control amplitude, which will cause a large number of business migrations and distortion of the traffic model. It needs to be stabilized through iteration. It is set according to the actual situation. Generally, 5 is recommended.

Here, this application scenario can use the PID algorithm to implement iterative adjustment of δ.

Specifically, an expression function of the competition decision parameter may be set based on the functions of the first level compensation strategy and the second level compensation strategy.

The expression function of the competition decision parameters is:

Wherein, i is the level ordinal number of the serving cell; Throughput_Compensation _i is the compensation level calculated based on the first level compensation strategy at the i-th level, Pathloss_Compensation _i represents the compensation level calculated based on the second level compensation strategy at the i-th level; n is the calculation ordinal number of Pathloss_Compensation _i and Throughput_Compensation _i ; η is the service weight coefficient, and 4 is generally recommended; _Numi is the coding level of the serving cell corresponding to the i-th level; Weight _i is the coverage weight coefficient at the i-th level, RSRP represents the reference signal received power value, a is the level threshold, which is determined according to the network environment and is related to the scenario. Generally, the recommended value is -90dB, b is the critical value, and generally, the recommended value in urban areas is -95dB, and c is the coverage weight coefficient when the coverage level is greater than the threshold, and the recommended value is 5.

Afterwards, based on the proportional differential integral PID algorithm, the difference between the adjusted contention decision parameter of the serving cell and the expected contention adjustment parameter is used to perform proportional, integral and differential control item calculations to determine the target control coefficient, and based on the target control coefficient, the δ corresponding to the first receiving level compensation strategy and the second receiving level compensation strategy is adjusted.

In summary, this application scenario has the following advantages:

1) Design a single-user air interface downlink rate as the evaluation standard, combine multiple factors such as resources, network parameter configuration, network structure, wireless environment, uplink and downlink interference, establish a corresponding evaluation model, and build a mapping relationship, so as to achieve a cell boundary division method based on experience indicators. Identification of edge users is not limited to the level, and comprehensive consideration of user experience is given. It is more refined than the existing parameter algorithm to drive resource adaptation services and perception.

2) User perception experience is based on the dynamic modeling of existing network data. Each cell optimization parameter is optimized iteratively, gradually narrowing the difference between the estimated value and the actual value, and adjusting it based on actual system feedback. It is suitable for complex system responses and is more refined and accurate than traditional parameter adjustment. And the optimization parameters are comprehensively considered by business and coverage weights, which better reflects the idea of perception network construction than only considering KPI or load parameter adjustment.

3) The results of big data analysis are used to guide optimization decisions and focus on key optimization parameters, achieving controllable and achievable optimization goals. The scope of optimization is expanded from TOPN to all neighboring relationships in the entire network, greatly increasing the optimization space and taking a key step on the road to intelligent and refined optimization.

The above application scenarios are exemplary introductions to the methods of the embodiments of the present invention. The specific performance of the virtual interactive animation is determined by the manufacturer and will not be described in detail herein. It should be understood that appropriate changes can be made without departing from the above principles herein, and these changes should also be regarded as the protection scope of the embodiments of the present invention.

In addition, corresponding to the cell service optimization method shown in FIG1 , an embodiment of the present invention further provides a cell service optimization device. FIG3 is a schematic diagram of the structure of a cell service optimization device 300 implemented in the present invention, comprising:

The downlink rate determination module 310 determines the single-user air interface downlink rate of the serving cell and the neighboring cell of the target user;

The adjustment strategy selection module 320 selects a matching target level adjustment strategy from a preset first level adjustment strategy and a second level adjustment strategy based on a comparison of single-user air interface downlink rates between the serving cell and the neighboring cell, wherein the first level adjustment strategy compensates for the user experience rate difference between the serving cell and the neighboring cell to determine the compensation level of the serving cell for the target user, and the second level adjustment strategy compensates for the path loss difference between the serving cell and the neighboring cell to determine the compensation level of the serving cell for the target user;

The level adjustment execution module 330 adjusts the level of the serving cell for the target user according to the target level compensation strategy.

The device of the embodiment of the present invention integrates multiple factors such as cell network resources, parameter configuration, network structure, wireless environment, uplink and downlink interference, etc., and establishes an evaluation system for the single-user air interface downlink rate. The comparison of the single-user air interface downlink rate of the serving cell and the neighboring cell is used as a standard to implement a level adjustment strategy that comprehensively considers service experience and signal coverage, thereby more finely optimizing the cell service.

Optionally, the single-user air interface downlink rate of the cell is determined based on a theoretical maximum downlink rate of the cell, a structure factor, a single-user service carrying capacity factor, and a coverage interference factor;

Among them, the theoretical maximum downlink rate is determined based on the configuration of the cell, the structural factor is determined based on the maximum service carrying rate of the cell, the single-user service carrying capacity factor is determined based on the proportion of network resources obtained when a single user performs video services, and the coverage interference factor is determined based on the channel quality indication efficiency of the cell.

Specifically, the theoretical maximum downlink rate is determined based on the standard, bandwidth, uplink and downlink subframe ratio, the number of special subframe symbols and the number of symbols occupied by the physical downlink control channel, the single-double-stream mode and the transmission mode and the single-double-stream mode in the cell configuration; the structural factor is determined based on the maximum service carrying rate of the cell and the maximum configurable downlink rate of the cell; the single-user service carrying capacity factor is determined based on the single-user maximum guaranteed downlink rate of the cell, the maximum service carrying rate and the structural factor; the coverage interference factor is specifically determined by the amount of coding that can reflect the channel quality indication efficiency in the periodic measurement report of the cell.

Among them, the maximum service carrying rate is obtained by weighting the peak downlink rates of each configuration of the cell according to the corresponding configuration ratio; the maximum guaranteed downlink rate of a single user is calculated based on the non-video service guarantee resources of the cell, the maximum service carrying rate, and the number of concurrent video services; wherein the non-video service guarantee resources are determined based on the non-video service guarantee resources of the cell, the statistical number of modulation and coding strategies, the coding efficiency of the modulation and coding strategies, and the service capability guarantee capacity required to meet the preset traffic threshold requirements and the preset blocking rate requirements.

Optionally, the adjustment strategy selection module 320 is specifically used to: if the single-user air interface downlink rate of the service cell and/or the neighboring cell does not reach the preset rate threshold, and the difference in the single-user air interface downlink rate between the service cell and the neighboring cell reaches a preset proportion of the single-user air interface downlink rate ratio of the service cell, then select the first level compensation strategy as the target level adjustment strategy; if the single-user air interface downlink rates of the service cell and the neighboring cell both reach the preset rate threshold, and the difference in path loss between the service cell and the neighboring cell is greater than the preset difference threshold, then select the second level compensation strategy as the target level adjustment strategy.

Optionally, the functions used by the first level adjustment strategy and the second level adjustment strategy to calculate the compensation level include amplitude weights for controlling the amplitude of the level compensation. The cell service optimization device of the embodiment of this specification also includes:

An iterative verification module is used to determine the competition decision parameters for the service cell level adjustment, wherein the function for calculating the competition decision parameters is a combination of functions based on the first level adjustment strategy and the second level adjustment strategy; and, based on a proportional differential integral PID algorithm, a difference between the competition decision parameters after the service cell adjustment and the expected competition adjustment parameters is used to perform proportional, integral and differential control term calculations to determine a target control coefficient, and based on the target control coefficient, the amplitude weights corresponding to the first receiving level compensation strategy and the second receiving level compensation strategy are adjusted.

Optionally, the downlink rate determination module 310 determines an edge user that triggers an event-type measurement report MRE as a target user.

Obviously, the cell service optimization device shown in FIG3 of the embodiment of the present invention can implement the steps and functions of the method shown in FIG1. Since the principles are the same, they will not be described in detail herein.

FIG4 is a schematic diagram of the structure of an electronic device of an embodiment of the present specification. Please refer to FIG4. At the hardware level, the electronic device includes a processor, and optionally also includes an internal bus, a network interface, and a memory. Among them, the memory may include a memory, such as a high-speed random access memory (Random-Access Memory, RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage, etc. Of course, the electronic device may also include hardware required for other services.

The processor, the network interface and the memory may be interconnected via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, FIG4 only uses one bidirectional arrow, but does not mean that there is only one bus or one type of bus.

The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory may include internal memory and non-volatile memory, and provides instructions and data to the processor. The processor reads the corresponding computer program from the non-volatile memory into the internal memory and then runs it, forming a cell service optimization device at the logical level. Correspondingly, the processor executes the program stored in the memory, and is specifically used to perform the following operations:

Determine the single-user air interface downlink rate of the target user's serving cell and neighboring cells.

Based on a comparison of single-user air interface downlink rates between the serving cell and the neighboring cell, a matching target level adjustment strategy is selected from a pre-set first level adjustment strategy and a second level adjustment strategy, wherein the first level adjustment strategy is used to compensate for the difference in user experience rate between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the target user, and the second level adjustment strategy is used to compensate for the difference in path loss between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the target user.

According to the target level compensation strategy, the level of the serving cell for the target user is adjusted.

The cell service optimization method disclosed in the embodiment shown in FIG. 1 of the present specification can be applied to a processor or implemented by a processor. The processor may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in a decoding processor. The software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

It should be understood that the electronic device of the embodiment of the present invention can enable the cell service optimization device to implement the steps and functions corresponding to those in the method shown in Figure 1. Since the principles are the same, they will not be described in detail herein.

Of course, in addition to software implementation, the electronic device of this specification does not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is to say, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

In addition, an embodiment of the present invention further provides a computer-readable storage medium, which stores one or more programs, and the one or more programs include instructions.

When the above instruction is executed by a portable electronic device including multiple applications, the portable electronic device can execute the steps of the cell service optimization method shown in FIG. 1, including:

Determine the single-user air interface downlink rate of the target user's serving cell and neighboring cells.

Based on a comparison of single-user air interface downlink rates between the serving cell and the neighboring cell, a matching target level adjustment strategy is selected from a pre-set first level adjustment strategy and a second level adjustment strategy, wherein the first level adjustment strategy is used to compensate for the difference in user experience rate between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the target user, and the second level adjustment strategy is used to compensate for the difference in path loss between the serving cell and the neighboring cell, and determine the compensation level of the serving cell for the target user.

According to the target level compensation strategy, the level of the serving cell for the target user is adjusted.

It will be appreciated by those skilled in the art that the embodiments of this specification may be provided as methods, systems or computer program products. Therefore, this specification may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, 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.

The above is a description of a specific embodiment of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

The above are only embodiments of this specification and are not intended to limit this specification. For those skilled in the art, this specification may be subject to various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this specification shall be included in the scope of the claims of this specification. In addition, all other embodiments obtained by ordinary technicians in this field without creative work shall fall within the scope of protection of this document.

Claims (9)

1. A method for optimizing a cell service, comprising:

determining the downlink rate of a single user air interface of a serving cell and a neighbor cell of a target user; the single-user air interface downlink rate of the cell is determined based on the theoretical maximum downlink rate, the structural factor, the single-user service bearing capacity factor and the coverage interference factor of the cell; the single-user service bearing capacity factor is determined based on the single-user maximum guaranteed downlink rate, the service bearing maximum rate and the structural factor of the cell; the structural factor is determined based on a traffic bearer maximum rate of the cell; the coverage interference factor is determined according to the channel quality indication efficiency of the cell;

based on the comparison condition of the downlink rate of the single user air interface between the serving cell and the adjacent cell, selecting a matched target level adjustment strategy from a preset first level adjustment strategy and a preset second level adjustment strategy, wherein the method comprises the following steps: if the single-user air interface downlink rate of the serving cell and/or the adjacent cell does not reach a preset rate threshold, and the difference value of the single-user air interface downlink rates between the serving cell and the adjacent cell reaches a preset duty ratio of the single-user air interface downlink rate ratio of the serving cell, selecting the first level adjustment strategy as a target level adjustment strategy; if the downlink rates of the single user air interfaces of the serving cell and the adjacent cell reach a preset rate threshold, and the difference value of the path loss between the serving cell and the adjacent cell is larger than a preset difference value threshold, selecting the second level adjustment strategy as a target level adjustment strategy; the first level adjustment strategy is used for making up the difference of user experience rates between the serving cell and the adjacent cells, determining the compensation level of the serving cell for the target user, and the second level adjustment strategy is used for making up the difference of path loss between the serving cell and the adjacent cells, and determining the compensation level of the serving cell for the target user;

and adjusting the level of the service cell aiming at the target user according to the target level adjustment strategy.

2. The method of claim 1, wherein the step of determining the position of the substrate comprises,

The theoretical maximum downlink rate is determined based on the configuration of the cell.

3. The method of claim 2, wherein the step of determining the position of the substrate comprises,

The theoretical maximum downlink rate is determined based on a system, a bandwidth, an uplink and downlink subframe ratio, a special subframe symbol number, a physical downlink control channel occupation symbol number, a single-double-flow mode, a transmission mode and a single-double-flow mode in cell configuration;

The structural factor is specifically determined based on the service bearing maximum rate of the cell and the configurable maximum downlink rate of the cell;

the single-user service bearing capacity factor is determined based on the single-user maximum guaranteed downlink rate, the service bearing maximum rate and the structural factor of the cell;

The coverage interference factor is specifically determined based on a coding amount capable of reflecting channel quality indication efficiency in a periodic measurement report of a cell.

4. The method of claim 2, wherein the step of determining the position of the substrate comprises,

The service bearing maximum rate is obtained by weighting the peak downlink rate of each configuration of the cell according to the corresponding configuration duty ratio;

The single user maximum guaranteed downlink rate is calculated according to non-video service guaranteed resources and service bearing maximum rate of a cell and the concurrent number of video services; the non-video service guarantee resources are determined according to the non-video service guarantee resources of the cell, the statistical quantity of the modulation and coding strategies, the lower coding efficiency of the modulation and coding strategies and the service capacity guarantee capacity required by meeting the preset flow threshold requirement and the preset blocking rate requirement.

5. The method of claim 1, wherein the step of determining the position of the substrate comprises,

The functions of the first level adjustment strategy and the second level adjustment strategy for calculating the compensation level comprise amplitude weights for controlling the level compensation amplitude;

after adjusting the level of the serving cell for the target user, the method further comprises:

Determining a contention decision parameter for the serving cell level adjustment, wherein calculating a function of the contention decision parameter is based on a combination of functions of the first level adjustment strategy and the second level adjustment strategy;

and calculating control items of proportion, integral and derivative according to the difference value between the competition decision parameter after the adjustment of the serving cell and the expected competition adjustment parameter based on a proportional-derivative integral PID algorithm, determining a target control coefficient, and adjusting amplitude weights corresponding to the first level adjustment strategy and the second level adjustment strategy based on the target control coefficient.

6. The method of claim 1, wherein the step of determining the position of the substrate comprises,

Before determining the downlink rate of the single user air interface of the serving cell and the neighbor cell of the target user, the method further comprises the following steps:

and determining the edge user of the measurement report MRE of the trigger event type as a target user.

7. A cell service optimizing apparatus, comprising:

The downlink rate determining module determines the downlink rate of a single user air interface of a serving cell and a neighbor cell of a target user; the single-user air interface downlink rate of the cell is determined based on the theoretical maximum downlink rate, the structural factor, the single-user service bearing capacity factor and the coverage interference factor of the cell; the single-user service bearing capacity factor is determined based on the single-user maximum guaranteed downlink rate, the service bearing maximum rate and the structural factor of the cell; the structural factor is determined based on a traffic bearer maximum rate of the cell; the coverage interference factor is determined according to the channel quality indication efficiency of the cell;

The adjustment strategy selection module is used for selecting a matched target level adjustment strategy from a preset first level adjustment strategy and a preset second level adjustment strategy based on the comparison condition of the downlink rate of a single user air interface between the serving cell and the adjacent cell, and comprises the following steps: if the single-user air interface downlink rate of the serving cell and/or the adjacent cell does not reach a preset rate threshold, and the difference value of the single-user air interface downlink rates between the serving cell and the adjacent cell reaches a preset duty ratio of the single-user air interface downlink rate ratio of the serving cell, selecting the first level adjustment strategy as a target level adjustment strategy; if the downlink rates of the single user air interfaces of the serving cell and the adjacent cell reach a preset rate threshold, and the difference value of the path loss between the serving cell and the adjacent cell is larger than a preset difference value threshold, selecting the second level adjustment strategy as a target level adjustment strategy; the first level adjustment strategy is used for making up the difference of user experience rates between the service cell and the adjacent cell, determining the compensation level of the service cell for the target user, and the second level adjustment strategy is used for making up the difference of path loss between the service cell and the adjacent cell, and determining the compensation level of the service cell for the target user;

And the level adjustment execution module adjusts the level of the service cell aiming at the target user according to the target level adjustment strategy.

8. An electronic device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program is executed by the processor to:

determining the downlink rate of a single user air interface of a serving cell and a neighbor cell of a target user; the single-user air interface downlink rate of the cell is determined based on the theoretical maximum downlink rate, the structural factor, the single-user service bearing capacity factor and the coverage interference factor of the cell; the single-user service bearing capacity factor is determined based on the single-user maximum guaranteed downlink rate, the service bearing maximum rate and the structural factor of the cell; the structural factor is determined based on a traffic bearer maximum rate of the cell; the coverage interference factor is determined according to the channel quality indication efficiency of the cell;

Based on the comparison condition of the downlink rate of the single user air interface between the serving cell and the adjacent cell, selecting a matched target level adjustment strategy from a preset first level adjustment strategy and a preset second level adjustment strategy, wherein the method comprises the following steps: if the single-user air interface downlink rate of the serving cell and/or the adjacent cell does not reach a preset rate threshold, and the difference value of the single-user air interface downlink rates between the serving cell and the adjacent cell reaches a preset duty ratio of the single-user air interface downlink rate ratio of the serving cell, selecting the first level adjustment strategy as a target level adjustment strategy; if the downlink rates of the single user air interfaces of the serving cell and the adjacent cell reach a preset rate threshold, and the difference value of the path loss between the serving cell and the adjacent cell is larger than a preset difference value threshold, selecting the second level adjustment strategy as a target level adjustment strategy; the first level adjustment strategy is used for making up the difference of user experience rates between the service cell and the adjacent cell, determining the compensation level of the service cell for the target user, and the second level adjustment strategy is used for making up the difference of path loss between the service cell and the adjacent cell, and determining the compensation level of the service cell for the target user;

and adjusting the level of the service cell aiming at the target user according to the target level adjustment strategy.

9. A computer readable storage medium having a computer program stored thereon, the computer program when executed by a processor performing the steps of:

determining the downlink rate of a single user air interface of a serving cell and a neighbor cell of a target user; the single-user air interface downlink rate of the cell is determined based on the theoretical maximum downlink rate, the structural factor, the single-user service bearing capacity factor and the coverage interference factor of the cell; the single-user service bearing capacity factor is determined based on the single-user maximum guaranteed downlink rate, the service bearing maximum rate and the structural factor of the cell; the structural factor is determined based on a traffic bearer maximum rate of the cell; the coverage interference factor is determined according to the channel quality indication efficiency of the cell;

Based on the comparison condition of the downlink rate of the single user air interface between the serving cell and the adjacent cell, selecting a matched target level adjustment strategy from a preset first level adjustment strategy and a preset second level adjustment strategy, wherein the method comprises the following steps: if the single-user air interface downlink rate of the serving cell and/or the adjacent cell does not reach a preset rate threshold, and the difference value of the single-user air interface downlink rates between the serving cell and the adjacent cell reaches a preset duty ratio of the single-user air interface downlink rate ratio of the serving cell, selecting the first level adjustment strategy as a target level adjustment strategy; if the downlink rates of the single user air interfaces of the serving cell and the adjacent cell reach a preset rate threshold, and the difference value of the path loss between the serving cell and the adjacent cell is larger than a preset difference value threshold, selecting the second level adjustment strategy as a target level adjustment strategy; the first level adjustment strategy is used for making up the difference of user experience rates between the service cell and the adjacent cell, determining the compensation level of the service cell for the target user, and the second level adjustment strategy is used for making up the difference of path loss between the service cell and the adjacent cell, and determining the compensation level of the service cell for the target user;

and adjusting the level of the service cell aiming at the target user according to the target level adjustment strategy.