CN115442820A - Cell service optimization method and device and electronic equipment - Google Patents
Cell service optimization method and device and electronic equipment Download PDFInfo
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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 single-user air interface downlink rates of the serving cell and the adjacent cell of the target user. 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 single-user air interface downlink rate between a serving cell and the adjacent cell, wherein the first level adjustment strategy is used for making up the user experience rate difference between the serving cell and the adjacent cell, the compensation level of the serving cell for the target user is determined, the first level adjustment strategy is used for making up the path loss difference between the serving cell and the adjacent cell, and the compensation level of the serving cell for the target user is determined. And adjusting the level of the serving cell aiming at the target user according to the target level compensation strategy. The scheme of the invention can comprehensively consider the service experience and the signal coverage, adjust the level of the cell and realize the optimization of the cell service.
Description
Technical Field
The present disclosure relates to the field of vehicle application technologies, and in particular, to a method and an apparatus for optimizing a cell service, and an electronic device.
Background
With the continuous and rapid increase of mobile traffic, the service imbalance is more obvious, and the change of user behavior habits leads to stronger service guarantee requirements on high-speed and low-delay requirements of videos, games and the like. Meanwhile, the mobile network is larger and larger in scale, multiple scenes, multiple frequency bands and multiple systems coexist, and different frequency bands of different systems have larger difference in uplink and downlink capacity and coverage capacity.
The technical problem to be solved by the application is how to fully mine the existing network cell resources to optimize the user experience so as to achieve the best benefit.
Disclosure of Invention
The embodiment of the invention aims to provide a cell service optimization method, a cell service optimization device and electronic equipment, which can comprehensively consider service experience and signal coverage, adjust the level of a cell and realize cell service optimization.
In order to achieve the above object, an embodiment of the present invention is implemented as follows:
in a first aspect, a method for optimizing cell services is provided, including:
determining single-user air interface downlink rates of a serving cell and an adjacent cell of a target user;
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 single-user air interface downlink rate between the serving cell and the adjacent cell, wherein the first level adjustment strategy is used for making up the user experience rate difference between the serving cell and the adjacent cell, the compensation level of the serving cell for the target user is determined, the second level adjustment strategy is used for making up the path loss difference between the serving cell and the adjacent cell, and the compensation level of the serving cell for the target user is determined;
and adjusting the level of the serving cell aiming at the target user according to the target level compensation strategy.
In a second aspect, an apparatus for optimizing cell services is provided, including:
the downlink rate determining module is used for determining the single-user air interface downlink rates of a serving cell and an adjacent cell of a target user;
an adjustment policy selection module, configured to select a matched target level adjustment policy from a preset first level adjustment policy and a preset second level adjustment policy based on a comparison condition of a single-user air interface downlink rate between the serving cell and the neighboring cell, where the first level adjustment policy is to compensate for a user experience rate difference between the serving cell and the neighboring cell, determine a compensation level of the serving cell for the target user, and the second level adjustment policy is to compensate for a path loss difference between the serving cell and the neighboring cell, and determine a compensation level of the serving cell for the target user;
and the level adjustment execution module adjusts the level of the serving cell aiming at the target user according to the target level compensation strategy.
In a third aspect, an electronic device is provided that includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program executed by the processor:
determining single-user air interface downlink rates of a serving cell and an adjacent cell of a target user;
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 single-user air interface downlink rate between the serving cell and the adjacent cell, wherein the first level adjustment strategy is used for making up the user experience rate difference between the serving cell and the adjacent cell, the compensation level of the serving cell for the target user is determined, the second level adjustment strategy is used for making up the path loss difference between the serving cell and the adjacent cell, and the compensation level of the serving cell for the target user is determined;
and adjusting the level of the serving cell aiming at the target user according to the target level compensation strategy.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, wherein the computer program, when executed by a processor, performs the steps of:
determining single-user air interface downlink rates of a serving cell and an adjacent cell of a target user;
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 single-user air interface downlink rate between the serving cell and the adjacent cell, wherein the first level adjustment strategy is used for making up the user experience rate difference between the serving cell and the adjacent cell, the compensation level of the serving cell for the target user is determined, the second level adjustment strategy is used for making up the path loss difference between the serving cell and the adjacent cell, and the compensation level of the serving cell for the target user is determined;
and adjusting the level of the serving cell for the target user according to the target level compensation strategy.
The scheme of the embodiment of the invention integrates a plurality of factors such as cell network resources, parameter configuration, network structure, wireless environment, uplink and downlink interference and the like, establishes an evaluation system of the single-user air interface downlink rate, and realizes a level adjustment strategy of comprehensively considering service experience and signal coverage by taking the comparison condition of the single-user air interface downlink rates of a service cell and an adjacent cell as a standard, thereby more finely optimizing cell service.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a first flowchart of a cell service optimization method according to an embodiment of the present invention.
Fig. 2 is a second flowchart of a cell service optimization method according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a cell service optimization apparatus according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
As described above, with the increasing scale of the mobile network, multiple scenes, multiple frequency bands, and multiple systems coexist, and different frequency bands of different systems have great difference in uplink and downlink capacity and coverage capability. The method aims to provide a cell service optimization scheme to fully mine cell resources to achieve the best benefit.
Fig. 1 is a flowchart of a cell service optimization method according to an embodiment of the present invention, which includes the following steps:
s102, determining the single-user air interface downlink rates of the serving cell and the adjacent cell of the target user.
In the embodiment of the 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 and obtained based on the theoretical maximum downlink rate, the structure factor, the single-user service bearing capacity factor and the coverage interference factor of the cell.
Wherein:
the theoretical maximum downlink rate is determined by the configuration of the cell, and the cell has different theoretical maximum downlink rates under different levels, frequency bands and modes.
The structure factor is determined based on the maximum rate of the service bearer of the cell, and is influenced by the factors of the CFI (indicating the number of symbols occupied by the PDCCH), RANK (single-dual stream mode), and TM (format) of the cell.
The single-user service carrying capacity factor is determined based on the occupation ratio lock of network resources obtained when a single user carries out video service, for example, on the basis of meeting 2Mbps of non-video service, the resource proportion which can be obtained when the single user carries out video service in a cell is related to factors such as a service model, a retransmission rate and the like.
The coverage interference factor is determined according to Channel Quality Indication (CQI) efficiency of a cell, and is closely related to coverage and interference distribution of the cell.
It can be seen that this step integrates multiple factors such as cell network resources, parameter configuration, network structure, wireless environment, uplink and downlink interference, etc., and establishes a corresponding single-user air interface downlink rate evaluation system.
And S104, based on the comparison condition of the single-user air interface downlink rates 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 first level adjustment strategy is used for making up 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 making up 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.
It should be understood that the user experience rate and the path loss are two dimensions for evaluating the cell quality of service, both of which are affected by the level, but do not exhibit the same linear relationship with the level.
In the step, the adjacent cell is taken as a reference, and the level adjustment strategy of the serving cell suitable for the target user is determined by comparing the downlink rate of the air interface of the single user.
Such as:
and when the single-user air interface downlink rate of the serving cell and/or the adjacent cell does not reach a preset rate threshold value and the difference value of the single-user air interface downlink rates between the serving cell and the adjacent cell reaches a preset ratio of the single-user air interface downlink rate ratio of the serving cell, selecting a first level compensation strategy as a target level adjustment strategy. That is, the compensation level of the serving cell for the target user is adjusted with the purpose of compensating for the user experience rate difference between the serving cell and the neighboring cell;
and when the single-user air interface downlink rates of the serving cell and the adjacent cell both reach a preset rate threshold and the difference value of the path loss between the serving cell and the adjacent cell is greater than a preset difference value threshold, selecting a second level compensation strategy as a target level adjustment strategy. That is, the compensation level of the serving cell for the target user is adjusted to compensate for the difference in the used 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 the path loss difference between the serving cell and the neighboring cell at the same time, but the starting point is different, so that the two change gains are different.
And S106, adjusting the level of the serving cell aiming at the target user according to the target level compensation strategy.
The method of the embodiment of the invention integrates various factors such as cell network resources, parameter configuration, network structure, wireless environment, uplink and downlink interference and the like, establishes an evaluation system of the single-user air interface downlink rate, takes the comparison condition of the single-user air interface downlink rates of a serving cell and an adjacent cell as a standard, and realizes a level adjustment strategy of comprehensively considering service experience and signal coverage, thereby more finely optimizing cell service.
Further, on the basis, the method of the embodiment of the present invention may further perform verification after the level adjustment, so as to optimize the level adjustment amplitude of the level adjustment policy.
Here, an amplitude weight for controlling the level compensation amplitude may be set in the functions of the first level adjustment strategy and the second level adjustment strategy for calculating the compensation level, and a function for calculating the serving cell contention decision parameter may be generated based on the functions of the first level adjustment strategy and the second level adjustment strategy. And then, based on a proportional-differential-integral (PID) algorithm, calculating control terms of proportion, integral and differentiation by using the difference value of the competition decision parameter adjusted by the serving cell and the expected competition adjustment parameter, determining a target control coefficient, and adjusting the amplitude weights corresponding to the first receiving level compensation strategy and the second receiving level compensation strategy based on the target control coefficient.
It should be understood that each time the level adjustment is performed on the serving cell, the optimization of the amplitude weight may be performed correspondingly. In practical application, if the serving cell needs to be subjected to level adjustment for multiple times, iterative optimization of the amplitude weight can be realized, so that the cell adjustment effect approaches to an optimal solution.
The method of the embodiment of the present invention will be described in detail below with reference to practical application fields.
The application scenario provides an optimization scheme of cell service for edge users, and users triggering event type Measurement Reports (MRE) can be determined as edge users. The corresponding process comprises the following steps:
according to the current network engineering parameter data, acquiring MR (including period, event, UEMRmeasurementreport Report), XDR and wireless telephone system data for the area cell needing parameter adjustment, wherein the purpose of the data is as follows:
and then, based on XDR, MR and speech system data, establishing a capability evaluation model of cell edge users by combining various factors such as bandwidth resources, network parameter configuration, wireless environment, coverage, interference and the like, and calculating the air interface guarantee rate of a single user.
The model function of the single-user air interface downlink rate is as follows
CellUserRate@RSRP＝CellPeakRate*Cellframefactor*UserVideofactor*Interffactor@RSRP。
Wherein: cellUserRate @ RSRP represents a single-user air interface downlink rate under Reference Signal Received Power (RSRP), and the RSRP can be evaluated through level representation; cellframefactor represents a structural factor, userVideoactor represents a single-user service carrying capacity factor, and Interffector @ RSRP is a coverage interference factor under RSRP.
The following describes the detailed calculation of each parameter factor. For ease of understanding, a function (lookup) may be defined to represent the act of looking up an output item (result) in a table (table) according to several input parameters (parameter x): lookup (table, result, parameter1, parameter2, parameter3, \ 8230;).
(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 allocation and special subframe allocation in TD-LTE, control channel overhead, modulation coding mode, MIMO configuration, terminal capability, etc.
Taking TDD as an example, 1 radio frame downlink peak rate = ([ number of usable REs in each downlink subframe ] [ [ modulation coefficient ] ] + [ number of usable REs in special subframe ] [ [ modulation coefficient ] ] [ MIMO mode ]). The number of available REs calculated in each subframe is different, and overhead such as PDCCH, PBCH, SSS, PSS, CRS and the like in each subframe needs to be deducted.
Calculating the theoretical maximum rate of the cell, calculating the maximum rate of the cell corresponding to different CFI, RANK and TM according to the specification and parameter configuration, and constructing a rate comparison Table Table throughput 。
In the above table, MA represents a cell system; BW denotes a cell bandwidth; RB denotes a resource unit of traffic channel resource allocation; SA represents the ratio of uplink subframes to downlink subframes of a cell; SSP represents the number of symbols of cell special subframe DwPTS; CFI represents the number of symbols occupied by a cell PDCCH in a subframe, and indicates 1, 2 and 3; rank represents a cell single-double flow indication; TM denotes a transmission mode.
2) Cellframefactor calculation:
influenced by the CFI, RANK and TM factors of the cell and related to the coverage characteristics of the cell. According to the wireless telephone system data, counting the proportion W of 1-3 CFI of the cell CFI And the ratio W of RANK RANK Ratio W of TM to TM And calculates therefrom the maximum rate of the cell traffic bearer (irrespective of the modulation coding efficiency, i.e. assuming CQI = 15).
Table lookup Table throughput Obtaining the rates under different configurations, and weighting according to the occupation proportion, wherein the cell service bearing maximum rate formula is as follows:
dividing the weighted aggregate rate by the maximum configurable rate of the cell to obtain a cell structure factor, which is calculated as follows:
(3) UserVideofactor calculation:
the network management platform counts the flow and the number of users of different services in a cell, provides xMbps guarantee rate for non-video flow, calls an EB function, and eliminates influence of retransmission on calculating non-video service guarantee resources in the cell by removing statistics of MCS 29-31.
The calculation formula of the cell non-video service guarantee resource is as follows:
wherein, cellNonVideoThroughput represents the non-video service guarantee resource of the cell;
Num MCS statistics representing Modulation and Coding Scheme (MCS) corresponding to the cell; BIT MCS Representing the coding efficiency under the MCS corresponding to the cell; BIT MCS＝28 Indicating that the cell corresponds to MCS =28 coding efficiency, wherein MCS =28 is a video service preferred configuration; EB (alpha, xMbps, y% blocking rate) represents the cell service guarantee capacity requirement when the flow of the product capability query cell is alpha and the xMbps and y% blocking rate requirements are met. xMbps is a preset flow threshold requirement, and y% is a preset blocking rate requirement.
Calculating the average concurrency number of the video service according to the video service document of the network management platform as follows:
the video ConcurrencyNo represents the concurrency number of the cell video service; the total video service time represents the total time length unit second of video service data transmission; 3600 are seconds of an hour.
The single-user maximum guaranteed downlink rate (Th _ G) calculation formula:
because the service quality problem is concentrated in busy hours, the average value of the guaranteed rate of each cell in six busy hour periods every day is taken, the standard deviation is subtracted to ensure that the standard deviation is not lower than the minimum value, and 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＝1～6
finally, the modified maximum guaranteed rate of the single video user can be used for calculating the single user video service carrying factor:
(4) Interactor @ RSRP coverage interference factor @ RSRP calculation:
according to the known coding efficiency, constructing efficiency Table tables of different CQI relative to CQI =15 CQI_Eff For the convenience of refining the granularity of 0.05 in the subsequent CQI calculation, filling by adopting a difference value is recorded as: efficiency = Lookup (Table) CQI_Eff ,Efficiency,CQI)。
The correspondence between CQI and coding utilization 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 |
Summarizing according to the statistics of the event MR and the periodic MR of each cell, extracting the adjacent cells to analyze the information, and analyzing the shortage of sampling points (MR number)<x, x days can reach xx% data satisfaction degree in data accumulation), and then the data is supplemented by the periodic MR data of the cell (weight xx%), so that the distribution relation of the RSRP and CQI/pathloss of the coverage overlapping area of adjacent intervals is analyzed, and a Table of a comparison Table is constructed RSRP_CQI_Pathloss 。
Therein, table RSRP_CQI_Pathloss As shown in the following table:
in the above table, enodebid represents a base station ID; cellid represents a cell ID; sercarrierfreq denotes frequency band; dlrsrp _ s represents the level (down); dlcqi denotes channel quality indication (downlink); dlpathloss represents the path loss (downlink); num represents the magnitude of the coding capability.
The CQI is obtained from a table look-up of RSRP in the event 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 of the corresponding overlapping coverage area, the CQI efficiency corresponding to the RSRP is obtained by table look-up, and the following steps are shown:
Interffacter@RSRP＝Lookup(Table CQI_Eff ，Efficiency,CQI@RSRP)。
2. and (4) outputting a final model result:
calculating the single-user guaranteed rate corresponding to different RSRPs among all the cells as follows:
Throughput@RSRP＝Th_G(modify)*Interffactor@RSRP
obtaining a look-up Table Table RSRP_throughput_pathloss The following were used:
in the above table, _ S denotes a serving cell; n denotes a neighbor cell; total _ Num represents the coding capability magnitude.
When the rate data of the serving cell is searched through the RSRP of the serving cell, the following searching is carried out:
Throughput_S@RSRP＝Lookup(Table RSRP_throughput_pathloss ,Throughput_S，ServingCell,NeighborCell,RSRP)
when the velocity data of the adjacent cell is searched through the RSRP of the service cell, the following search is carried out:
Throughput_N@RSRP＝Lookup(Table RSRP_throughput_pathloss ,Throughput_N,ServingCell，NeighborCell,RSRP)
when the downlink path loss of the serving cell is searched through the RSRP of the serving cell, the following search is carried out:
Pathloss_S@RSRP＝Lookup(Table RSRP_throughput_pathloss ,Pathloss_S,ServingCell,NeighborCell,RSRP)
when the downlink path loss of the adjacent cell is searched through the RSRP of the service cell, the following search is carried out:
Pathloss_N@RSRP＝Lookup(Table RSRP_throughput_pathloss ,Pathloss_N,ServingCell,NeighborCell,RSRP)
when the RSRP is searched through the service cell speed, the following search is carried out:
RSRP@throughput＝Lookup(Table RSRP_throughput_pathloss ,RSRP,ServingCell,NeighborCell,Throughput_s)
when the search cannot be accurately hit, the value is linearly taken.
Based on the above steps, the path loss (Pathloss) and the single-user air interface downlink rate of different levels corresponding to the main cell and the adjacent cell can be determined. And judging the path loss of the main cell and the adjacent cell under the condition that the main cell and the adjacent cell meet the guaranteed rate, calculating to make up the Pathloss difference and increasing the compensation level when the path loss difference is greater than the single-user guaranteed experience standard. And when the main cell and the adjacent cell do not reach the guaranteed rate, calculating to make up for the experience difference and increasing the compensation level.
The specific judgment logic diagram is shown in fig. 2 (a is a serving cell, and B represents a neighboring cell):
if the single-user air interface downlink rate of the serving cell A and/or the adjacent cell B does not reach a preset rate threshold value alpha Mbps, and the difference value of the single-user air interface downlink rates between the serving cell A and the adjacent cell B reaches a preset occupation ratio gamma of the single-user air interface downlink rate ratio of the serving cell, selecting a first level compensation strategy (making up for the user experience rate difference) as a target level adjustment strategy;
and if the downlink rates of the single-user air interfaces of the serving cell A and the adjacent cell B both reach a preset rate threshold value alpha Mbps, and the difference value of the Pathloss difference between the serving cell A and the adjacent cell B is greater than a preset difference value threshold value beta dB, selecting a second level compensation strategy (for compensating the Pathloss difference between the serving cell A and the adjacent cell B) as a target level adjustment strategy.
Here, the α Mbps represents a single-user guaranteed experience standard, and can be set according to actual 1080p video user requirements, and 5.3Mbps is taken; beta dB 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 percentage of guaranteed rate difference between serving cell a and neighbor cell B, which is typically 10% preferred.
Specifically, the first level compensation strategy is to compensate for the difference in the user experience rate, and the function of calculating the compensation level is as follows:
the second level compensation strategy aims at compensating Pathloss difference, and the function of calculating the compensation level is as follows:
Pathlos_compensation＝Min(Max((PathlossA-PathlossB)/2,-δ),δ)。
wherein, δ is an amplitude weight of the control level compensation amplitude, and the upper and lower adjustment limits are set to avoid large traffic migration and traffic model distortion caused by too large control amplitude, and need to be stabilized by iteration, and generally 5 is proposed according to actual conditions.
Here, the application scenario may adopt a PID algorithm to realize iterative adjustment of δ.
Specifically, an expression function of the competition decision parameter may be set based on a function of the first level compensation strategy and the second level compensation strategy.
The expression function of the competition decision parameter is:
wherein i is the level ordinal number of the serving cell; throughput _ Compensation i Pathloss _ Compensation, a Compensation level calculated based on the first level Compensation strategy at the ith level i The compensation level calculated based on the second level compensation strategy at the ith level is represented; n is Patholoss _ Compensation i And Throughput _ Compensation i The ordinal number of the calculation of (2); eta is a service weight coefficient, and a value of 4 is generally suggested; num i Corresponding the coding magnitude under the ith level to the serving cell; weight i Is the coverage weight coefficient at the ith level,
the RSRP represents a reference signal receiving power value, a is a level threshold, the reference signal receiving power value is determined according to a network environment, the reference signal receiving power value is related to a scene, a value of-90dB is generally suggested, a value of a critical value is generally suggested, a value of-95 dB is generally suggested in an urban area, a value of c is a coverage weight coefficient when a coverage level is larger than the threshold, and a value of 5 is generally suggested.
And then, based on a proportional-differential-integral (PID) algorithm, calculating control terms of proportion, integral and differentiation by using a difference value of a competition decision parameter adjusted by the serving cell and an expected competition adjustment parameter, determining a target control coefficient, and adjusting delta corresponding to a first receiving level compensation strategy and a second receiving level compensation strategy based on the target control coefficient.
In summary, the application scenario has the following advantages:
1) The method comprises the steps of designing a single-user air interface downlink rate as an evaluation standard, establishing a corresponding evaluation model by combining multiple factors such as resources, network parameter configuration, network structure, wireless environment, uplink and downlink interference and the like, and establishing a mapping relation, so that a cell boundary division method starting from experience indexes is achieved, identifying edge users is not limited to levels, comprehensively considering user experience, and drawing resource adaptation service and sensing more finely than the existing parameter algorithm.
2) The user perception experience is based on the dynamic modeling of the current network data, the optimization parameters of each cell are respectively optimized in an iterative mode, the difference between the estimated value and the actual value is gradually reduced, the adjustment is carried out by using the feedback of an actual system, the method is suitable for the correspondence of a complex system, and compared with the traditional parameter adjustment, the method is more refined and higher in accuracy. And optimization parameters are comprehensively considered through business and coverage weight, and compared with the method that only KPI or load and other parameter adjustment are considered, the idea of sensing network establishment is better embodied.
3) The result of big data analysis is used for guiding optimization decision, key optimization parameters are aligned, the effect that the optimization target is controllable and can be achieved is achieved, the optimization range is expanded from TOPN to all adjacent area relations of the whole network, the optimization space is greatly improved, and a key step is taken on the road of intelligent fine optimization.
The above application scenarios are exemplary presentations of the methods of the embodiments of the present invention. The specific representation of the virtual interactive animation is customized by a manufacturer, and details are not repeated herein. It will be appreciated that appropriate modifications may be made without departing from the principles outlined herein, and such modifications are intended to be included within the scope of the embodiments of the invention.
In addition, corresponding to the cell service optimization method shown in fig. 1, an embodiment of the present invention further provides a cell service optimization apparatus. Fig. 3 is a schematic structural diagram of an apparatus 300 for optimizing cell services according to the present invention, which includes:
a downlink rate determining module 310, configured to determine a single-user air interface downlink rate of a serving cell and an adjacent cell of a target user;
an adjustment policy selecting module 320, configured to select a matched target level adjustment policy from a preset first level adjustment policy and a preset second level adjustment policy based on a comparison between a single-user air interface downlink rate between the serving cell and the neighboring cell, where the first level adjustment policy is to make up for a user experience rate difference between the serving cell and the neighboring cell, determine a compensation level of the serving cell for the target user, and the second level adjustment policy is to make up for a path loss difference between the serving cell and the neighboring cell, and determine a compensation level of the serving cell for the target user;
and a level adjustment executing module 330, configured to adjust a level of the serving cell for the target user according to the target level compensation policy.
The device of the embodiment of the invention integrates various factors such as cell network resources, parameter configuration, network structure, wireless environment, uplink and downlink interference and the like, establishes an evaluation system of the single-user air interface downlink rate, takes the comparison condition of the single-user air interface downlink rates of a serving cell and an adjacent cell as a standard, and realizes a level adjustment strategy for comprehensively considering service experience and signal coverage, thereby more finely optimizing cell service.
Optionally, the single-user air interface downlink rate of the cell is determined based on a theoretical maximum downlink rate, a structure factor, a single-user service carrying capacity factor, and a coverage interference factor of the cell;
the theoretical maximum downlink rate is determined based on the configuration of a cell, the structure factor is determined based on the maximum service bearing rate of the cell, the single-user service bearing capacity factor is determined based on the occupation ratio lock of network resources obtained when a single user carries out video service, and the coverage interference factor is determined according to the channel quality indication efficiency of the cell.
Specifically, the theoretical maximum downlink rate is determined and obtained based on a system, a bandwidth, a ratio of uplink and downlink subframes, a number of symbols of a special subframe, a number of symbols occupied by a physical downlink control channel, a single-stream mode, a dual-stream mode, a transmission mode, and a single-stream mode in a cell configuration; the structure factor is determined and obtained based on the maximum service bearing rate of the cell and the maximum configurable downlink rate of the cell; the single-user service bearing capacity factor is determined and obtained 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 can be specifically determined by a code amount which can reflect the efficiency of channel quality indication in a periodic measurement report of a cell.
The maximum service bearing rate is obtained by weighting the peak value downlink rate configured in each cell according to the corresponding configuration ratio; the maximum guaranteed downlink rate of the single user is obtained by calculation according to the non-video service guaranteed resource, the maximum service bearing rate and the video service concurrency number of the cell; the non-video service guarantee resource is determined according to the non-video service guarantee resource of the cell, the statistical number of the modulation and coding strategies, the lower coding efficiency of the modulation and coding strategies and the service capability guarantee capacity required by meeting the preset flow threshold requirement and the preset blocking rate requirement.
Optionally, the adjustment policy selecting module 320 is specifically configured to: if the single-user air interface downlink rate of the serving cell and/or the adjacent cell does not reach a preset rate threshold value and the difference value of the single-user air interface downlink rates between the serving cell and the adjacent cell reaches a preset ratio of a single-user air interface downlink rate ratio of the serving cell, selecting the first level compensation strategy as a target level adjustment strategy; and if the single-user air interface downlink rates of the serving cell and the adjacent cell both reach a preset rate threshold and the difference value of the path loss between the serving cell and the adjacent cell is greater than a preset difference value threshold, selecting the second level compensation strategy as a target level adjustment strategy.
Optionally, the function used by the first level adjustment strategy and the second level adjustment strategy to calculate the compensation level includes an amplitude weight for controlling the level compensation amplitude. The cell service optimization apparatus according to an embodiment of the present specification further includes:
an iterative verification module, configured to determine a contention decision parameter for the serving cell level adjustment, where a function for calculating the contention decision parameter is based on a combination of functions of the first level adjustment policy and the second level adjustment policy; and performing proportional, integral and differential control term calculation by using the difference value between the competition decision parameter adjusted by the serving cell and the expected competition adjustment parameter based on a proportional-differential-integral (PID) algorithm, determining a target control coefficient, and adjusting the amplitude weights corresponding to the first receiving level compensation strategy and the second receiving level compensation strategy based on the target control coefficient.
Optionally, the downlink rate determining module 310 determines an edge user of the MRE as a target user.
Obviously, the cell service optimization apparatus shown in fig. 3 can implement the steps and functions of the method shown in fig. 1. Since the principle is the same, the detailed description is omitted here.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. Referring to fig. 4, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.
The processor, the network interface, and the memory may be connected to each other by an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 4, but that does not indicate only one bus or one type of bus.
And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor. The processor reads the corresponding computer program from the nonvolatile memory into the memory and then runs the computer program to form the cell service optimization device on the logic level. Correspondingly, the processor executes the program stored in the memory, and is specifically configured to perform the following operations:
and determining the single-user air interface downlink rates of the serving cell and the adjacent cell of the target user.
Based on the comparison condition of the single-user air interface downlink rates 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 first level adjustment strategy is used for making up the user experience rate difference between the serving cell and the adjacent cell, the compensation level of the serving cell for the target user is determined, the second level adjustment strategy is used for making up the path loss difference between the serving cell and the adjacent cell, and the compensation level of the serving cell for the target user is determined.
And adjusting the level of the serving cell for the target user according to the target level compensation strategy.
The cell service optimization method disclosed in the embodiment shown in fig. 1 of the present specification may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.
It should be understood that the electronic device of the embodiment of the present invention may enable the cell service optimization apparatus to implement the steps and functions corresponding to those in the method shown in fig. 1. Since the principle is the same, it is not described herein in detail.
Of course, besides the software implementation, the electronic device in the present specification does not exclude other implementations, such as logic devices or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or logic devices.
Furthermore, an embodiment of the present invention also provides a computer-readable storage medium storing one or more programs, the one or more programs including instructions.
Wherein the instructions, when executed by a portable electronic device comprising a plurality of applications, enable the portable electronic device to perform the steps of the cell service optimization method shown in fig. 1, and comprise:
and determining the single-user air interface downlink rates of the serving cell and the adjacent cell of the target user.
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 single-user air interface downlink rate between the serving cell and the adjacent cell, wherein the first level adjustment strategy is used for making up the user experience rate difference between the serving cell and the adjacent cell, the compensation level of the serving cell for the target user is determined, and the second level adjustment strategy is used for making up the path loss difference between the serving cell and the adjacent cell, and the compensation level of the serving cell for the target user is determined.
And adjusting the level of the serving cell aiming at the target user according to the target level compensation strategy.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing description of specific embodiments has been presented for purposes of illustration and description. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification. Moreover, all other embodiments obtained by a person skilled in the art without making any inventive step shall fall within the scope of protection of this document.
Claims (10)
1. A method for optimizing cell services, comprising:
determining single-user air interface downlink rates of a serving cell and an adjacent cell of a target user;
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 single-user air interface downlink rate between the serving cell and the adjacent cell, wherein the first level adjustment strategy is used for making up the user experience rate difference between the serving cell and the adjacent cell, the compensation level of the serving cell for the target user is determined, the second level adjustment strategy is used for making up the path loss difference between the serving cell and the adjacent cell, and the compensation level of the serving cell for the target user is determined;
and adjusting the level of the serving cell aiming at the target user according to the target level compensation strategy.
2. The method of claim 1,
the single-user air interface downlink rate of the cell is determined and obtained based on the theoretical maximum downlink rate, the structure factor, the single-user service bearing capacity factor and the coverage interference factor of the cell;
the theoretical maximum downlink rate is determined based on the configuration of a cell, the structure factor is determined based on the service bearing maximum rate of the cell, the single-user service bearing capacity factor is determined based on the occupation ratio lock of network resources obtained when a single user carries out video service, and the coverage interference factor is determined according to the channel quality indication efficiency of the cell.
3. The method of claim 2,
the theoretical maximum downlink rate is determined and obtained based on a mode, a bandwidth, a ratio of uplink subframes to downlink subframes, the number of symbols of special subframes, the number of symbols occupied by a physical downlink control channel, a single-stream mode, a double-stream mode, a transmission mode and the single-stream mode in cell configuration;
the structure factor is determined and obtained based on the maximum service bearing rate of the cell and the maximum configurable downlink rate of the cell;
the single-user service bearing capacity factor is determined and obtained 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 determined based on the coding amount capable of reflecting the channel quality indication efficiency in the periodic measurement report of the cell.
4. The method of claim 2,
the maximum service bearing rate is obtained by weighting the peak downlink rate configured in each cell according to the corresponding configuration proportion;
the single-user maximum guaranteed downlink rate is obtained by calculation according to non-video service guarantee resources, service bearing maximum rate and video service concurrency number of a cell; the non-video service guarantee resource is determined according to the non-video service guarantee resource of the cell, the statistical number of the modulation and coding strategies, the lower coding efficiency of the modulation and coding strategies and the service capability guarantee capacity required by meeting the preset flow threshold requirement and the preset blocking rate requirement.
5. The method of claim 1,
based on the comparison condition of the single-user air interface downlink rates between the serving cell and the neighboring cell, selecting a matched target level adjustment strategy from a preset first level adjustment strategy and a preset second level adjustment strategy, including:
if the single-user air interface downlink rate of the serving cell and/or the adjacent cell does not reach a preset rate threshold value and the difference value of the single-user air interface downlink rates between the serving cell and the adjacent cell reaches a preset ratio of a single-user air interface downlink rate ratio of the serving cell, selecting the first level compensation strategy as a target level adjustment strategy;
and if the single-user air interface downlink rates of the serving cell and the adjacent cell both reach a preset rate threshold and the difference value of the path loss between the serving cell and the adjacent cell is greater than a preset difference value threshold, selecting the second level compensation strategy as a target level adjustment strategy.
6. The method of claim 1,
the function of the first level adjustment strategy and the second level adjustment strategy for calculating the compensation level comprises an amplitude weight for controlling the level compensation amplitude;
after adjusting the level of the serving cell for the target user, the method further comprises:
determining a competition decision parameter for the serving cell level adjustment, wherein a function for calculating the competition decision parameter is based on a combination of functions of the first level adjustment strategy and a second level adjustment strategy;
and based on a proportional-differential-integral (PID) algorithm, performing proportional, integral and differential control item calculation on a difference value between the competition decision parameter adjusted by the serving cell and an expected competition adjustment parameter, determining a target control coefficient, and adjusting amplitude weights corresponding to the first receiving level compensation strategy and the second receiving level compensation strategy based on the target control coefficient.
7. The method of claim 1,
before determining the single-user air interface downlink rates of the serving cell and the adjacent cell of the target user, the method further comprises the following steps:
the edge user of the measurement report MRE of the trigger event type is determined as the target user.
8. A cell service optimization apparatus, comprising:
the downlink rate determining module is used for determining the single-user air interface downlink rates of a serving cell and an adjacent cell of a target user;
an adjustment policy selection module, configured to select a matched target level adjustment policy from a preset first level adjustment policy and a preset second level adjustment policy based on a comparison of a single-user air interface downlink rate between the serving cell and the adjacent cell, where the first level adjustment policy is used to compensate for a user experience rate difference between the serving cell and the adjacent cell, determine a compensation level of the serving cell for the target user, and the second level adjustment policy is used to compensate for a path loss difference between the serving cell and the adjacent cell, and determine a compensation level of the serving cell for the target user;
and the level adjustment execution module is used for adjusting the level of the serving cell aiming at the target user according to the target level compensation strategy.
9. 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 single-user air interface downlink rates of a serving cell and an adjacent cell of a target user;
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 single-user air interface downlink rate between the serving cell and the adjacent cell, wherein the first level adjustment strategy is used for making up the user experience rate difference between the serving cell and the adjacent cell, the compensation level of the serving cell for the target user is determined, the second level adjustment strategy is used for making up the path loss difference between the serving cell and the adjacent cell, and the compensation level of the serving cell for the target user is determined;
and adjusting the level of the serving cell aiming at the target user according to the target level compensation strategy.
10. A computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, carries out the steps of:
determining single-user air interface downlink rates of a serving cell and an adjacent cell of a target user;
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 single-user air interface downlink rate between the serving cell and the adjacent cell, wherein the first level adjustment strategy is used for making up the user experience rate difference between the serving cell and the adjacent cell, the compensation level of the serving cell for the target user is determined, the second level adjustment strategy is used for making up the path loss difference between the serving cell and the adjacent cell, and the compensation level of the serving cell for the target user is determined;
and adjusting the level of the serving cell aiming at the target user according to the target level compensation strategy.
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