CN109905889B

CN109905889B - Wireless resource balancing method, device, equipment and medium

Info

Publication number: CN109905889B
Application number: CN201711297561.2A
Authority: CN
Inventors: 王挺; 梁秀娟; 刘文吉
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Shanxi Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Shanxi Co Ltd
Priority date: 2017-12-08
Filing date: 2017-12-08
Publication date: 2022-03-04
Anticipated expiration: 2037-12-08
Also published as: CN109905889A

Abstract

The embodiment of the invention provides a wireless resource balancing method, a device, equipment and a medium, wherein the method comprises the following steps: acquiring measurement report data of a serving cell in each wireless measurement period, and determining a load index of the serving cell in the wireless measurement period; determining the load value of the serving cell in the statistical period; determining whether the service cell is a high-load cell in the statistical period, if so, determining the service proportion of the service cell needing to be balanced outwards; determining a first parameter configuration scheme; determining a second parameter configuration scheme; and selecting the scheme with the minimum parameter adjustment amplitude in the first parameter configuration scheme and the second parameter configuration scheme as an optimal scheme, and balancing the service of the service cell according to the optimal scheme. The scheme provided by the embodiment of the invention can realize reasonable parameter configuration, achieve the expected balance effect, improve the user satisfaction degree and reduce the occurrence of complaints and other problems.

Description

Wireless resource balancing method, device, equipment and medium

Technical Field

The present invention relates to the field of mobile communications technologies, and in particular, to a method, an apparatus, a device, and a medium for balancing wireless resources.

Background

With the rapid development of mobile internet services and the rapid growth of 4G clients, the user mobility experience in hot cells is reduced to different degrees, and the role of the mobility load balancing technology in improving the utilization efficiency of wireless resources and guaranteeing the mobility experience of users is increasingly prominent.

At present, the balance optimization method of the load between the LTE inter-frequency cells is mainly based on the own load balancing function of the main equipment manufacturer, the function is triggered according to the wireless resource occupation measurement statistics, and the main measurement items are as follows: the number of active radio resource control connections (i.e. the number of active RRC connection users) and the utilization of physical resource blocks. When the measurement item instantaneously reaches the measurement threshold, the balance function is started, and the control threshold or the threshold of balance switching is modified by the staff according to the default value or the experience value.

The equalization optimization method mainly has the following defects:

the triggering mechanism has the defects that: the real-time triggering at the equipment side results in unstable service of the cell.

The defects of parameter setting are as follows: the parameter setting based on the default value or the empirical value cannot realize the configuration of reasonable parameters, and the expected equalization effect cannot be achieved.

Disclosure of Invention

The embodiment of the invention provides a wireless resource balancing method, a device, equipment and a medium.

In a first aspect, an embodiment of the present invention provides a method for balancing wireless resources, where the method includes:

acquiring measurement report data of a serving cell in each wireless measurement period, and determining a load index of the serving cell in the wireless measurement period according to the measurement report data;

determining a load value of the serving cell in a preset statistical period according to a load index of the serving cell in the statistical period; wherein the statistical period comprises a plurality of the wireless measurement periods;

determining whether the serving cell is a high-load cell in the statistical period according to the load value of the serving cell in the statistical period and a preset high-load standard, and if so, determining the proportion of services which need to be balanced outwards by the serving cell;

screening out a low-load adjacent cell of the service cell according to a preset low-load standard, and determining a first parameter configuration scheme according to the reference signal receiving power of the service cell and the low-load adjacent cell and the service proportion of the service cell which needs to be balanced outwards;

screening the resident user of the service cell, setting the service proportion that the resident user does not switch in the resident cell when using the service, and determining a second parameter configuration scheme according to the service proportion that the resident user does not switch in the resident cell when using the service;

and selecting the scheme with the minimum parameter adjustment amplitude in the first parameter configuration scheme and the second parameter configuration scheme as an optimal scheme, and balancing the service of the service cell according to the optimal scheme.

In a second aspect, an embodiment of the present invention provides a radio resource balancing apparatus, where the apparatus includes:

the data acquisition module is used for acquiring measurement report data of a serving cell in each wireless measurement period and determining a load index of the serving cell in the wireless measurement period according to the measurement report data;

a first determining module, configured to determine a load value of the serving cell in a preset statistical period according to a load index of the serving cell in the statistical period; wherein the statistical period comprises a plurality of the wireless measurement periods;

a second determining module, configured to determine, according to the load value of the serving cell in the statistical period and a preset high load standard, whether the serving cell is a high load cell in the statistical period, and if so, determine a service proportion that the serving cell needs to balance outward;

a third determining module, configured to screen out a low-load neighboring cell of the serving cell according to a preset low-load standard, and determine a first parameter configuration scheme according to the reference signal received powers of the serving cell and the low-load neighboring cell and a traffic proportion of the serving cell that needs to be balanced outward;

a fourth determining module, configured to screen the resident user in the serving cell, set a service proportion that the resident user does not switch in the resident cell when using the service, and determine a second parameter configuration scheme according to the service proportion that the resident user does not switch in the resident cell when using the service;

and the scheme selection module is used for selecting the scheme with the minimum parameter adjustment amplitude in the first parameter configuration scheme and the second parameter configuration scheme as an optimal scheme and balancing the service of the service cell according to the optimal scheme.

In a third aspect, an embodiment of the present invention provides a radio resource balancing apparatus, including: at least one processor, at least one memory, and computer program instructions stored in the memory, which when executed by the processor, implement the method of the first aspect of the embodiments described above.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which computer program instructions are stored, which, when executed by a processor, implement the method of the first aspect in the foregoing embodiments.

The method, the device, the equipment and the medium for balancing the wireless resources provided by the embodiment of the invention can produce the following effects:

(1) whether the service cell is a high-load cell or not is determined by taking the statistical period as a unit period, and then an optimization scheme is determined, but not a wireless measurement period as the unit period, so that more data can be used, and the condition that the balance is opened when a measurement item instantaneously reaches a measurement threshold cannot occur, so that the service of the service cell is more stable, and the influence of frequent switching on the use perception of a user is avoided;

(2) the configuration of the parameters in the first parameter configuration scheme in the wireless resource equalization method provided by the invention is not determined by a worker according to an experience value or a default value, but is determined according to the reference signal receiving power, the service proportion (which can be called as a first service proportion) of the service cell needing outward equalization and the like, and if the first parameter configuration scheme is adopted, the proportion of the service cell needing outward equalization can reach the first service proportion, so that the embodiment of the invention can realize reasonable parameter configuration and achieve the expected equalization effect;

(3) because the resident user is screened out in the second parameter configuration scheme, the resident user is set, the service proportion (which can be called as a second service proportion) of the resident cell which is not switched when the resident user uses the service is set, and the scheme is determined according to the second service proportion, the obtained scheme can ensure that the resident cell switching of the service of the resident user with the second service proportion can not be carried out when the service balance is carried out, so that the service of the resident user with the second service proportion is not influenced, the user satisfaction is improved, and the problems of complaints and the like are reduced;

(4) by adopting the wireless resource balancing method provided by the embodiment of the invention, the license for starting the balancing function does not need to be purchased from the main equipment factory, and the cost can be reduced.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a flow chart illustrating a radio resource balancing method according to an embodiment of the present invention;

fig. 2 shows a graph obtained by respectively performing ascending arrangement on the number of simultaneous online users, the utilization rate of an uplink traffic channel physical resource block, and the utilization rate of a downlink traffic channel physical resource block in a statistical period in the embodiment of the present invention;

figure 3 shows a graph of a mapping between RSRP difference and expected equalized traffic proportion in an embodiment of the invention;

fig. 4 is a flow chart illustrating a radio resource balancing method according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of a radio resource balancing apparatus according to an embodiment of the present invention;

fig. 6 shows a schematic structural diagram of a radio resource balancing device in an embodiment of the present invention.

Detailed Description

Features and exemplary embodiments of various aspects of the present invention will be described in detail below, and in order to make objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not to be construed as limiting the invention. It will be apparent to one skilled in the art that the present invention may be practiced without some of these specific details. The following description of the embodiments is merely intended to provide a better understanding of the present invention by illustrating examples of the present invention.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

In one aspect, embodiments of the present invention provide a radio resource balancing method, which may be executed by any electronic device, for example, an electronic device including at least one processor and at least one memory, where the memory stores computer program instructions, and the instructions may be executed by the processor, thereby implementing the radio resource balancing method provided in the embodiments of the present invention.

As shown in fig. 1, a method for equalizing radio resources according to an embodiment of the present invention includes:

s101, collecting measurement report data of a serving cell in each wireless measurement period, and determining a load index of the serving cell in the wireless measurement period according to the measurement report data;

the wireless measurement period may be set according to specific situations, for example, 5s is set as one wireless measurement period.

The measurement report data may include measurement report data acquired in each wireless measurement period at the base station side, and such report data may be denoted as CELL _ MR; measurement report data reported by the user side terminal in each wireless measurement period when using the service can also be included, and such report data can be denoted as UE _ MR. The measurement report data can be collected in a soft mining mode. A plurality of data, for example, UP/DL PRB AVER, UP/DL PRB AVAIL AVER, and online user num, may be included in the measurement report data. UP PRB AVER is the average number of occupied uplink traffic channel PRBs, DL PRB AVER is the average number of occupied downlink traffic channel PRBs, UP PRB AVAIL AVER is the average number of available uplink traffic channel PRBs, DL PRB AVAIL AVER is the average number of available downlink traffic channel PRBs, and online user num is the number of simultaneous online users.

Of course, besides collecting the measurement report data, it is also possible to collect interface data from the base station to the core network in the traffic plane (i.e. S1_ U) and interface data from the base station to the core network in the control plane (i.e. S1_ MME), and these data can be collected in a hard-mining manner. In addition, configuration parameters and the like of the serving cell and the neighbor cell can be acquired, and the data can be used in the subsequent process.

The load index is a parameter that can reflect the load of the serving cell, for example, the number of simultaneous online users, the utilization rate of the physical resource block of the uplink traffic channel, the utilization rate of the physical resource block of the downlink traffic channel, and the like.

In specific implementation, the load indexes selected in step S101 are different, and there are various ways to determine the load indexes of the serving cell in the wireless measurement period, and the following description will be given by taking the selected load indexes as an example, including the number of simultaneous online users, the utilization rate of the physical resource block of the uplink traffic channel, and the utilization rate of the physical resource block of the downlink traffic channel:

s1011, analyzing the measurement report data of the service cell in the wireless measurement period to obtain the number of simultaneous online users, the average occupied number of physical resource blocks of an uplink service channel, the average occupied number of physical resource blocks of a downlink service channel, the average available number of physical resource blocks of the uplink service channel and the average available number of physical resource blocks of the downlink service channel;

through analysis, one of the load indexes can be obtained: and the number of online users.

S1012, determining the utilization rate of the physical resource block of the uplink service channel according to the average occupied number of the physical resource block of the uplink service channel and the average available number of the physical resource block of the uplink service channel;

in practical application, a first formula may be adopted to calculate the utilization rate of the uplink traffic channel physical resource block, where the first formula includes:

p₁＝p₂/p₃ (1)

in the formula, p₁Is the utilization ratio, p, of the physical resource block of the uplink service channel₂Is the average occupied number, p, of the physical resource block of the uplink service channel₃Is the average available number of physical resource blocks of the uplink traffic channel.

And S1013, determining the utilization rate of the physical resource block of the downlink service channel according to the average occupied number of the physical resource block of the downlink service channel and the average available number of the physical resource block of the downlink service channel.

Similarly, the utilization ratio of the physical resource block of the downlink traffic channel may also be calculated with reference to (1) above, that is, the utilization ratio of the physical resource block of the downlink traffic channel may be calculated by using a second formula, where the second formula includes:

p₄＝p₅/p₆ (2)

in the formula, p₄Is the utilization rate, p, of the physical resource block of the downlink traffic channel₅Is the average occupied number, p, of the physical resource block of the downlink traffic channel₆And the average available number of the physical resource blocks of the downlink traffic channel is obtained.

In actual application, whether a hardware fault exists in the serving cell can be judged, if the hardware fault does not exist, subsequent load balancing processing is carried out, and if the hardware fault exists, the serving cell cannot carry out the subsequent load balancing processing. There are various ways to determine whether there is a hardware failure in the serving cell, and an alternative way is introduced here:

determining whether the service cell has hardware faults or not according to the average available number of the physical resource blocks of the uplink service channel and/or the average available number of the physical resource blocks of the downlink service channel; if the serving cell has no hardware failure, S1012 and S1013 are performed.

When the service cell has no hardware fault, the related parameters are in a certain range, the range is a reasonable range, if the parameters are out of the reasonable range, the service cell can be determined to have the hardware fault, therefore, the service cell can be determined to have the hardware fault by judging whether the average available number of the physical resource blocks of the uplink service channel and/or the average available number of the physical resource blocks of the downlink service channel is in the respective reasonable range, and if not, the service cell can be determined to have the hardware fault.

S102, determining a load value of the service cell in a preset statistical period according to a load index of the service cell in the statistical period; wherein the statistical period comprises a plurality of wireless measurement periods;

for example, if the statistical period is set to 10 minutes and the radio measurement period is 5s, one statistical period is 120 radio measurement periods.

A way of determining the load value of the serving cell in the statistical period is described below by taking the load index including the number of simultaneous online users, the utilization rate of the physical resource block of the uplink traffic channel, and the utilization rate of the physical resource block of the downlink traffic channel as an example:

s1021, arranging the simultaneous online user number, the utilization rate of the physical resource block of the uplink service channel and the utilization rate of the physical resource block of the downlink service channel of the service cell in the statistical period respectively;

for example, the statistical period is set to 10 minutes, the wireless measurement period is set to 5s, and the above load indexes are respectively arranged in an ascending order in one statistical period, so that the graph shown in fig. 2 can be obtained. In fig. 2, the abscissa of the graph is set as each time point within the statistical period. In fig. 2, the time points are also arranged from small to large.

It will be appreciated that the load indicators may also be arranged in descending order, so that the time points on the abscissa are also arranged in descending order.

S1022, taking the number of simultaneous online users corresponding to the preset guarantee duration in the arrangement result, the utilization rate of the physical resource block of the uplink service channel and the utilization rate of the physical resource block of the downlink service channel as the load value of the service cell in the statistical period; and the preset guarantee duration is less than the statistical period.

Assuming that the period counting time length is set as 600s, the service cell guarantee time length is set as 480s, and the cell uplink/downlink PRB utilization rate and the number of simultaneous online users are counted in sequence to reach the guarantee time length of 480 s. In fig. 2, the number of simultaneous online users corresponding to 480s is 20, the utilization rate of the corresponding physical resource block of the uplink traffic channel is 36.4%, and the utilization rate of the corresponding physical resource block of the downlink traffic channel is 57.9%, and then the number of simultaneous online users 20, the utilization rate of the physical resource block of the uplink traffic channel is 36.4%, and the utilization rate of the physical resource block of the downlink traffic channel is 57.9%, which can be used as the load value of the serving cell in the statistical period.

The guaranteed duration refers to an expected duration for guaranteeing the load of the serving cell within a reasonable and controllable range in a statistical period, different guaranteed durations can be set for different serving cells, and how to set the guaranteed duration can be specifically determined according to factors such as scenes and values of the serving cells, and the embodiment of the present invention is not limited. In the above example, the guaranteed duration is 80% of the statistical period, that is, it is desirable to guarantee that the load of the serving cell is within a reasonable and controllable range within 80% of the statistical period.

It is understood that for other load indexes, the corresponding load values may be calculated with reference to S1021 and S1022.

S103, determining whether the service cell is a high-load cell in the statistical period according to the load value of the service cell in the statistical period and a preset high-load standard, and if so, determining the proportion of services which need to be balanced outwards by the service cell;

in this step, one load upper limit value may be set for each load value, that is, the above-mentioned preset high load standard includes the load upper limit value corresponding to each load value. The upper limit of the load corresponding to each load value may be set according to information such as the frequency band of the serving cell and the antenna configuration, for example, referring to table 1 below, when the bandwidth of the serving cell a is 20M, the antenna configuration is 8T8R, and the average E-AB traffic during busy cell is greater than or equal to 900, the upper limit of the number of simultaneous online users is 15, the upper limit of the utilization rate of the physical resource block of the uplink traffic channel is 45%, and the upper limit of the utilization rate of the physical resource block of the downlink traffic channel is 55%. The PRB is a physical resource block, and the E-RAB traffic is evolved radio access bearer traffic.

Table 1 configuration information and preset high load standard table for serving cell a

There are various ways to determine whether the serving cell is a high load cell based on a high load criterion including a plurality of load upper limit values, and an optional way is described below:

s1031, determining ratios between each load value of the serving cell in the statistical period and the corresponding load upper limit value respectively to obtain a plurality of ratios, and taking the maximum ratio of the ratios as a load coefficient of the serving cell in the statistical period;

the three upper load limits in table 1 are still used as examples for illustration:

meanwhile, the ratio of the number of online users to the upper limit thereof is 20/15-1.33, the ratio of the utilization rate of the physical resource block of the uplink traffic channel to the upper limit thereof is 36.4%/45%/0.81, and the ratio of the utilization rate of the physical resource block of the downlink traffic channel to the upper limit thereof is 57.9%/55%/1.05, so that the obtained three ratios are 1.33, 0.81 and 1.05. Of which 1.33 is the largest, and thus 1.33 is the load factor of the serving cell during the statistical period.

S1032, determining whether the service cell is a high-load cell or not according to the load coefficient and a preset load coefficient upper limit.

The upper limit of the load factor may be set according to circumstances. For example, the upper limit of the load factor is set to 1. In this case, 1.33 is greater than 1, the serving cell may be considered to be a high load cell.

The above-mentioned requirement for outward balance of the serving cell means that the service of the serving cell is switched to other cells. The service proportion of the outward balanced service of the serving cell may be calculated by a third formula, where the third formula includes:

c＝(a-b)/a (3)

in the formula, a is a load coefficient of the serving cell in the statistical period, b is the preset upper limit of the load coefficient, and c is a traffic proportion of the serving cell that needs to be balanced outwards.

For example, the traffic proportion of the serving cell with a load factor of 1.33 to be balanced outwards is (1.33-1)/1.33-25%.

S104, screening out a low-load adjacent cell of the service cell according to a preset low-load standard, and determining a first parameter configuration scheme according to the reference signal receiving power of the service cell and the low-load adjacent cell and the service proportion of the service cell which needs to be balanced outwards;

the low-load neighbor cell is a cell adjacent to the serving cell and in a low-load state in the current statistical period, and the screening criterion, i.e., the low-load criterion, may be set according to circumstances, for example, a cell having a load value of 60% or less of the high-load criterion in each of the neighboring cells of the serving cell may be considered as the low-load neighbor cell.

In practical application, each low-load neighbor cell of the serving cell may only select a pilot neighbor cell, that is, only balance the traffic in the serving cell to the pilot neighbor cell, thereby reducing interference and improving network quality.

In this step, there are various ways to determine the first parameter configuration scheme, and an optional way is described below:

s1041, determining a difference value between the reference signal received power of the serving cell and the reference signal received power of each low-load neighbor cell to obtain a plurality of reference signal received power difference values, and determining a mapping relation between the reference signal received power difference values and an expected balanced service proportion according to the plurality of reference signal received power difference values;

the reference signal received power is RSRP.

Referring to table 2 below, the RSRP of the serving cell a is-95 dBm, and there are 3 low-load neighbor cells including the neighbor cell B, and the RSRP of the neighbor cell B is-99 dBm, so that the difference between the RSRP of the serving cell a and the RSRP of the neighbor cell B is 4dBm, and the RSRP difference is calculated similarly for the other two neighbor cells of the serving cell a.

Table 2 table of related information of serving cell a

In general, there are a plurality of low-load neighbor cells of the serving cell, and therefore, a plurality of RSRP difference values are obtained after the RSRP of the serving cell and the RSRP of each low-load neighbor cell are respectively subtracted. Different RSRP difference values correspond to different MR sampling ratios of the expected balance, that is, different service ratios of the expected balance corresponding to different RSRP difference values are different, and a graph as shown in fig. 3 may be established according to a corresponding relationship between the two, so as to obtain a mapping relationship between the RSRP difference values and the expected balance service ratios.

In addition, for consideration of the user perception influence after equalization, the RSRP difference value may be controlled within a certain range (for example, the RSRP difference value is less than or equal to 6dBm), and if the RSRP difference value does not satisfy the condition, the inter-frequency handover initiation threshold may be calculated after being adjusted downward, for example, when the initial inter-frequency handover initiation threshold of the serving cell is-99 dBm, in order to satisfy the condition that the RSRP difference value is within a certain range, the inter-frequency handover initiation threshold is adjusted downward by 4 dBm.

S1042, determining reference signal receiving power required to be adjusted for the service outward switching of the serving cell according to the mapping relation and the service proportion required to be balanced outward of the serving cell, and taking a low-load adjacent cell corresponding to the reference signal receiving power as a target adjacent cell;

in the above example, the traffic proportion of the serving cell whose load factor is 1.33 that needs to be balanced outward is 25%, and it can be known from the mapping relationship in fig. 3 that the RSRP difference corresponding to 25% of the traffic proportion of the serving cell that needs to be balanced outward is 5 dBm. A low-load neighbor cell with RSRP difference of 5dBm from the serving cell may be the target neighbor cell. That is, if the service of the serving cell is to be handed over to the target neighbor cell first, the RSRP of the serving cell needs to be reduced by 5 dBm.

S1043, according to the reference signal receiving power which needs to be adjusted and is switched outwards by the service of the service cell, determining the optimized configuration parameters of the service cell and the target cell, and obtaining the first parameter configuration scheme.

Assuming that the reference signal received power to be adjusted for the service cell outward handover is 5dBm, the RSRP adjusted by the service cell can be 5dBm by configuring some specific parameters. The specific parameter configuration can be determined according to the parameters currently configured in the serving cell, the feasible range of the configuration, the parameter characteristics of the equipment manufacturer, and the like.

For example, the parameter configuration for the serving cell is shown in table 3 below:

table 3 parameter configuration table of serving cell

The parameter A3inter freqhoa1ThdRsrp in table 3 is the recovery threshold, A3inter freqhoa2ThdRsrp is the inter-frequency handover start threshold, and inter freqhoa3Offset is the default Offset, and the parameter is generally unchanged. It can be seen that the parameters A3InterFreqHoA1ThdRsrp are adjusted to-91 and A3InterFreqHoA2ThdRsrp is adjusted to-95.

The parameter configuration for the target neighbor cell is shown in table 4 below:

table 4 parameter configuration table of target neighbor cell

Parameter name	Current configuration value	Scenario	1 configuration values
				CellIndividualOffset	0	7

In table 4 above, the parameter CellIndividualOffset is a cell-to-cell Offset, which is the sum of the reference signal received power to be adjusted for the service cell for the outward handover and the inter freqhoa3Offset in table 3, so CellIndividualOffset is 5+2 — 7.

The parameters configured in table 3 and table 4 may constitute the first parameter configuration scheme.

S105, screening the resident user of the service cell, setting the service proportion that the resident user does not switch in the resident cell when using the service, and determining a second parameter configuration scheme according to the service proportion that the resident user does not switch in the resident cell when using the service;

the resident user refers to a user who uses a service in a serving cell frequently for a certain period of time. The screening process for specific quantification may include:

screening users of which the frequency of generating service records in the service cell in a time period corresponding to any resident type in at least second preset days in continuous first preset days is greater than or equal to preset frequency, and taking the screened users as resident users of the service cell; wherein the first preset number of days is greater than the second preset number of days.

For example, assume that the first preset number of days is 15 days, the second preset number of days is 8 days, the preset frequency is 3 times, and the types of residence are day residence, night residence, and night residence. Where, referring to table 5 below, the daytime resident corresponding time period is at 9: 00-17: 00, the resident position of the mobile phone is covered by a service cell in the daytime, and the mobile phone is suitable for the working places of common office workers; the corresponding time period of evening is 17: 00-24: 00, the resident position of the mobile phone is covered by a service cell at night, and the mobile phone is suitable for people and families working at night; the night resident corresponding time period is 0: 00-9: 00, its night resident location is covered by the serving cell, suitable for the people group and family working at night.

TABLE 5 table of related information of different resident types

Type of permanent residence	Description of the invention	Corresponding time interval
			Resident in daytime	Suitable for the working place of the ordinary office worker	9:00--17:00
Resident at night	Adapted for groups and families working at night	17:00-24:00
			Night resident	Adapted for groups and families working at night	0:00-9:00

Referring to table 6 below, the above-mentioned screening criteria is that a user is a resident user of the serving cell if the frequency of generating service records in the serving cell during a time period corresponding to any one resident type is greater than or equal to 3 times in at least 8 consecutive days of 15 days. The meaning of frequency is the number of hours a service has been recorded during the entire period, e.g., a user is 9: 00-17: the 8 hours between 00 have 4 business records with a frequency of 4.

TABLE 6 screening criteria tables for different types of residences

It is understood that the user is considered as a resident user of the serving cell no matter which time period the user is resident in the serving cell, i.e. no matter which type of resident the user belongs to. For example, if the user1 is resident in the daytime in the serving cell a, the user2 is resident in the evening in the serving cell a, and the user3 is resident in the night in the serving cell a, all three users are resident users in the serving cell.

In practical applications, whether a user has a service record can be determined according to various forms of services such as traffic, voice service, profit (i.e., ARPU) obtained by an operator from each user in a period of time, and the like.

It can be understood that if the resident cell is not switched when the user uses the service, the use perception of the user can be ensured not to be affected, and the user can have better use experience. Therefore, the larger the proportion of the services that the resident user does not switch in the resident cell when using the services, the more the services whose usage perception is not affected by the user are, specifically, the specific amount of the services is set, which may be determined according to the situation, for example, the proportion of the services that the resident user does not switch in the resident cell when using the services is set to 80%, that is, in the current statistical period, 20% of the services may be affected.

In this step, there are multiple ways to determine the second parameter configuration scheme, where one of the selectable ways includes:

s1051, determining the service proportion of the resident cell switched when the resident user uses the service according to the service proportion that the resident cell is not switched when the resident user uses the service;

for example, assuming that the service proportion of the residential subscriber not switched by the residential cell while using the service is 80%, the service proportion of the residential subscriber switched by the residential cell while using the service is 1-80% — 20%, i.e., 20% of the services may be affected.

S1052, searching a reference signal receiving power difference range corresponding to the service proportion meeting the preset condition in a pre-established corresponding relation table;

the corresponding relation table comprises corresponding relations between a plurality of reference signal receiving power difference value ranges and a plurality of service proportions switched by a resident cell when a resident user uses services; the preset conditions include: the corresponding relation table is smaller than the business proportion of the resident user switched by the resident cell when using the business and the business proportion with the smallest absolute value of the difference between the business proportion of the resident user switched by the resident cell when using the business;

assuming that the calculated service proportion of the residential cell switched when the residential user uses the service is 20%, see table 7 below, where the service proportion smaller than 20% and having the smallest absolute difference value with 20% in table 7 is 18.7%, and the corresponding reference signal received power difference range is less than or equal to 4 dBm. In table 7, the affected service ratios of the residential subscriber are a plurality of service ratios of the residential cell to which the residential subscriber is handed over when using the service.

Table 7 correspondence table between RSRP difference and affected service proportion of resident user

Difference value of RSRP	Resident user affected service proportion
		≤1dBm	3.2％
≤2dBm	7.4％
		≤3dBm	15.8％
≤4dBm	18.7％
		≤5dBm	24.6％
≤6dBm	31.0％

S1053, determining the second parameter configuration scheme according to the maximum value in the reference signal received power difference range;

in the above example, the maximum value in the reference signal received power difference range of 4dBm or less is 4dBm, and some specific parameters are configured so that the serving cell adjusted RSRP is 4 dBm. Correspondingly, the value of the parameter CellIndividualOffset is 4+2 — 6.

S106, selecting the scheme with the minimum parameter adjustment amplitude in the first parameter configuration scheme and the second parameter configuration scheme as an optimal scheme, and balancing the service of the service cell according to the optimal scheme.

By comparing the first parameter configuration scheme with the second parameter configuration scheme, the difference between the reference signal received powers required to be adjusted by the first parameter configuration scheme is 5dBm, and the difference between the reference signal received powers required to be adjusted by the second parameter configuration scheme is 4 dBm.

In addition to the reference scheme requiring adjustment of the reference signal received power difference, other parameters may be referenced, for example, as shown in table 8 below:

TABLE 8 comparison table of parameter configuration of two schemes

As can be seen from table 8 above, the adjustment range of the parameter CellIndividualOffset in the first parameter configuration scheme is 7, and the adjustment range of the parameter CellIndividualOffset in the second parameter configuration scheme is 6, which shows that the adjustment range of the second parameter configuration scheme is smaller, so that the second parameter configuration scheme can be used as an optimal scheme.

In one embodiment, the automatic issuing of the periodic parameter configuration scripts of different manufacturers is realized through an intelligent optimization platform, and when the periodic statistical cell load is lower than a low-load threshold (for example, idle load), the configuration parameter rollback is automatically performed, and the original coverage model is recovered.

The following describes an equalization method provided in the embodiment of the present invention with reference to fig. 4:

s401, acquiring CELL _ MR and UE _ MR data in a soft acquisition mode, and acquiring S1_ U, S1_ MME, CELL configuration parameters and the like in a hard acquisition mode; subsequently, the load status of the serving CELL a may be determined according to the data in the CELL _ MR and the UE _ MR data, the resident user may be determined according to the S1_ U, S1_ MME, and the parameter configuration scheme may be formulated according to the CELL configuration parameters.

S402, analyzing MR data of a service cell A in each wireless measurement period to obtain the number of simultaneous online users, the average occupied number of PRBs (physical uplink/downlink traffic channels), and the average available number of PRBs (physical uplink/downlink traffic channels);

s403, judging whether the service cell A has hardware faults or not according to the average available number of the PRBs of the uplink/downlink service channels, specifically judging whether the average available number of the PRBs of the uplink/downlink service channels is within a reasonable range or not, if so, judging that the service cell A has no hardware faults, and then executing the step S404; if the hardware fault is not in the reasonable range, the service cell has hardware fault, and step S408 is executed;

s404, determining the utilization rate of the PRB according to the average occupied number of the PRB of the uplink/downlink service channel and the average available number of the PRB of the uplink/downlink service channel, and obtaining three load indexes: and meanwhile, the number of online users, the utilization rate of the PRB (physical uplink shared channel) and the utilization rate of the PRB (physical downlink shared channel). The utilization rate of the uplink/downlink traffic channel PRB is equal to the average occupied number of the uplink/downlink traffic channel PRB divided by the average available number of the uplink/downlink traffic channel PRB.

S405, determining a load value of the serving cell A in a statistical period according to the number of simultaneous online users in the statistical period, the utilization rate of an uplink/downlink service channel (PRB), and a preset guarantee duration, wherein the load value may specifically be: respectively sequencing load indexes (namely the number of simultaneous online users, the utilization rate of an uplink/downlink service channel (PRB) and preset guarantee duration) corresponding to each wireless measurement period in a statistical period, and then taking the load index corresponding to the preset guarantee duration as a load value of a serving cell A in the statistical period;

s406, determining the ratio of each load value of the service cell A in the statistical period to the corresponding load upper limit value to obtain a plurality of ratios, and taking the maximum ratio of the ratios as the load coefficient of the service cell A in the statistical period;

s407, determining whether the serving cell a is a high-load cell, specifically: comparing the load coefficient of the serving cell a in the statistical period with a preset upper limit of the load coefficient to obtain whether the serving cell a is a high-load cell, if so, executing steps S409 and S410, otherwise, executing step S408;

s408, abandoning the service equalization processing on the service cell A;

s409, screening out low-load adjacent cells of the serving cell A, and determining a first parameter configuration scheme according to the RSRP of the serving cell A, the RSRP of the low-load adjacent cells and the proportion of the services of the serving cell A which need to be balanced outwards, wherein the specific process of the scheme can refer to S1041-S1043;

s410, screening the resident user of the service cell A, setting the service proportion that the resident user does not switch in the resident cell when using the service, and determining a second parameter configuration scheme according to the service proportion, wherein the specific process of the scheme can refer to S1051-S1053;

s411, judging whether the parameter adjustment amplitude of the first parameter configuration scheme is larger than that of the second parameter configuration scheme, if not, executing S412, and if so, executing S413;

s412, taking the first parameter configuration scheme as an optimal scheme;

s413, taking the second parameter configuration scheme as an optimal scheme;

and S414, issuing a parameter adjusting script, and performing parameter configuration rollback when the load is lower than the health value, thereby realizing intelligent optimization.

The wireless resource balancing method provided by the embodiment of the invention can produce the following effects:

In another aspect, an embodiment of the present invention provides a radio resource balancing apparatus, as shown in fig. 5, the apparatus 500 includes:

a data acquisition module 501, configured to acquire measurement report data of a serving cell in each wireless measurement period, and determine a load index of the serving cell in the wireless measurement period according to the measurement report data;

a first determining module 502, configured to determine a load value of the serving cell in a preset statistical period according to a load index of the serving cell in the statistical period; wherein the statistical period comprises a plurality of the wireless measurement periods;

a second determining module 503, configured to determine, according to the load value of the serving cell in the statistical period and a preset high load standard, whether the serving cell is a high load cell in the statistical period, and if so, determine a service proportion that the serving cell needs to balance outward;

a third determining module 504, configured to screen out a low-load neighboring cell of the serving cell according to a preset low-load standard, and determine a first parameter configuration scheme according to the reference signal received powers of the serving cell and the low-load neighboring cell and a traffic proportion of the serving cell that needs to be balanced outward;

a fourth determining module 505, configured to screen the resident user in the serving cell, set a service proportion that the resident user does not switch in the resident cell when using the service, and determine a second parameter configuration scheme according to the service proportion that the resident user does not switch in the resident cell when using the service;

a scheme selecting module 506, configured to select a scheme with the minimum parameter adjustment amplitude in the first parameter configuration scheme and the second parameter configuration scheme as an optimal scheme, and balance the service of the serving cell according to the optimal scheme.

In some embodiments, the load index includes the number of simultaneous online users, the utilization ratio of physical resource blocks of an uplink traffic channel, and the utilization ratio of physical resource blocks of a downlink traffic channel;

the first determination module 502 includes:

the analysis unit is used for analyzing the measurement report data of the service cell in the wireless measurement period to obtain the number of simultaneous online users, the average occupied number of physical resource blocks of an uplink service channel, the average occupied number of physical resource blocks of a downlink service channel, the average available number of physical resource blocks of the uplink service channel and the average available number of physical resource blocks of the downlink service channel;

a first determining unit, configured to determine a utilization rate of the uplink traffic channel physical resource block according to the average occupied number of the uplink traffic channel physical resource block and the average available number of the uplink traffic channel physical resource block;

and a second determining unit, configured to determine a utilization rate of the physical resource block of the downlink traffic channel according to the average occupied number of the physical resource blocks of the downlink traffic channel and the average available number of the physical resource blocks of the downlink traffic channel.

In some embodiments, the first determining unit calculates the utilization rate of the uplink traffic channel physical resource block by using a first formula, where the first formula includes:

p₁＝p₂/p₃

In some embodiments, the second determining unit calculates the utilization rate of the physical resource block of the downlink traffic channel by using a second formula, where the second formula includes:

p₄＝p₅/p₆

In some embodiments, the first determining module 502 further comprises:

a failure determination unit, configured to determine whether a hardware failure exists in the serving cell according to the average available number of the uplink traffic channel physical resource blocks and/or the average available number of the downlink traffic channel physical resource blocks; if the service cell has no hardware fault, the first determining unit executes the step of determining the utilization rate of the uplink service channel physical resource block and the second determining unit executes the step of determining the utilization rate of the downlink service channel physical resource block.

In some embodiments, the second determining module 503 includes:

a sorting unit, configured to sort the number of simultaneous online users, the utilization rate of an uplink traffic channel physical resource block, and the utilization rate of a downlink traffic channel physical resource block of the serving cell in the statistical period, respectively;

a third determining unit, configured to use the number of simultaneous online users, a utilization rate of an uplink traffic channel physical resource block, and a utilization rate of a downlink traffic channel physical resource block, which correspond to a guaranteed duration preset in the arrangement result, as load values of the serving cell in the statistical period; and the preset guarantee duration is less than the statistical period.

In some embodiments, the preset high load criterion includes an upper load value corresponding to each load value; the second determination module 503 includes:

a coefficient determining unit, configured to determine ratios between load values of the serving cell in the statistical period and corresponding load upper limit values, to obtain a plurality of ratios, and use a maximum ratio among the ratios as a load coefficient of the serving cell in the statistical period;

and the coefficient comparison unit is used for determining whether the service cell is a high-load cell or not according to the load coefficient and a preset load coefficient upper limit.

In some embodiments, the second determining module 503 determines the proportion of the traffic that needs to be balanced out by the serving cell using a third formula, where the third formula includes:

c＝(a-b)/a

In some embodiments, the third determination module 504 includes:

a fourth determining unit, configured to determine a difference between the reference signal received power of the serving cell and the reference signal received power of each low-load neighboring cell, to obtain multiple reference signal received power differences, and determine a mapping relationship between the reference signal received power differences and an expected balanced service proportion according to the multiple reference signal received power differences;

a fifth determining unit, configured to determine, according to the mapping relationship and a service proportion that the serving cell needs to be balanced outward, reference signal received power that needs to be adjusted for outward switching of the service of the serving cell, and use a low-load neighboring cell corresponding to the reference signal received power as a target neighboring cell;

a sixth determining unit, configured to determine, according to the reference signal received power that needs to be adjusted for the service outward handover of the serving cell, optimal configuration parameters for the serving cell and the target cell, so as to obtain the first parameter configuration scheme.

In some embodiments, the fourth determination module 505 comprises:

the screening unit is used for screening users of which the frequency of generating service records in the service cell in a time period corresponding to any resident type in at least second preset days in continuous first preset days is greater than or equal to preset frequency, and the screened users are used as resident users of the service cell; wherein the first preset number of days is greater than the second preset number of days.

In some embodiments, the fourth determining module 505 is specifically configured to: determining the service proportion of the resident cell switched when the resident user uses the service according to the service proportion of the resident user not switched when the resident cell uses the service; searching a reference signal receiving power difference value range corresponding to a service proportion meeting a preset condition in a pre-established corresponding relation table; the corresponding relation table comprises corresponding relations between a plurality of reference signal receiving power difference value ranges and a plurality of service proportions switched by a resident cell when a resident user uses services; the preset conditions include: the corresponding relation table is smaller than the business proportion of the resident user switched by the resident cell when using the business and the business proportion with the smallest absolute value of the difference between the business proportion of the resident user switched by the resident cell when using the business; and determining the second parameter configuration scheme according to the maximum value in the reference signal received power difference range.

It is to be understood that the radio resource equalization apparatus provided in the embodiments of the present invention corresponds to the above radio resource equalization method, and for explanation, examples, specific embodiments, and beneficial effects of the relevant contents, reference may be made to the corresponding parts in the above radio resource equalization method, which are not described herein again.

In still another aspect, the radio resource balancing method of the embodiment of the present invention described in conjunction with fig. 1 may be implemented by a radio resource balancing device. Fig. 6 shows a hardware structure diagram of a radio resource balancing device according to an embodiment of the present invention.

The radio resource equalizing device may comprise a processor 601 and a memory 602 in which computer program instructions are stored.

Specifically, the processor 601 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured as one or more Integrated circuits implementing embodiments of the present invention.

Memory 602 may include mass storage for data or instructions. By way of example, and not limitation, memory 602 may include a Hard Disk Drive (HDD), floppy Disk Drive, flash memory, optical Disk, magneto-optical Disk, tape, or Universal Serial Bus (USB) Drive or a combination of two or more of these. Memory 602 may include removable or non-removable (or fixed) media, where appropriate. The memory 602 may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory 602 is a non-volatile solid-state memory. In a particular embodiment, the memory 602 includes Read Only Memory (ROM). Where appropriate, the ROM may be mask-programmed ROM, Programmable ROM (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), electrically rewritable ROM (EAROM), or flash memory or a combination of two or more of these.

The processor 601 may implement any one of the above-described radio resource equalization methods by reading and executing computer program instructions stored in the memory 602.

In one example, the radio resource balancing device may also include a communication interface 603 and a bus 610. As shown in fig. 6, the processor 601, the memory 602, and the communication interface 603 are connected via a bus 610 to complete communication therebetween.

The communication interface 603 is mainly used for implementing communication between modules, apparatuses, units and/or devices in the embodiments of the present invention.

Bus 610 may include hardware, software, or both to couple the components of the radio resource equalizing device to each other. By way of example, and not limitation, a bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hypertransport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an infiniband interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus or a combination of two or more of these. Bus 610 may include one or more buses, where appropriate. Although specific buses have been described and shown in the embodiments of the invention, any suitable buses or interconnects are contemplated by the invention. The radio resource equalization apparatus may perform the radio resource equalization method in the embodiment of the present invention, thereby implementing the radio resource equalization method described in conjunction with fig. 1.

In addition, in combination with the radio resource balancing method in the foregoing embodiments, the embodiments of the present invention may provide a computer-readable storage medium to implement. The computer readable storage medium having stored thereon computer program instructions; the computer program instructions, when executed by a processor, implement any of the radio resource balancing methods in the above embodiments.

It is to be understood that the invention is not limited to the specific arrangements and instrumentality described above and shown in the drawings. A detailed description of known methods is omitted herein for the sake of brevity. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present invention are not limited to the specific steps described and illustrated, and those skilled in the art can make various changes, modifications and additions or change the order between the steps after comprehending the spirit of the present invention.

The functional blocks shown in the above-described structural block diagrams may be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it may be, for example, an electronic circuit, an Application Specific Integrated Circuit (ASIC), suitable firmware, plug-in, function card, or the like. When implemented in software, the elements of the invention are the programs or code segments used to perform the required tasks. The program or code segments may be stored in a machine-readable medium or transmitted by a data signal carried in a carrier wave over a transmission medium or a communication link. A "machine-readable medium" may include any medium that can store or transfer information. Examples of a machine-readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, Erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, fiber optic media, Radio Frequency (RF) links, and so forth. The code segments may be downloaded via computer networks such as the internet, intranet, etc.

It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.

As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.

Claims

1. A method for equalizing radio resources, the method comprising:

determining a load value of the serving cell in a preset statistical period according to a load index of the serving cell in the statistical period, wherein the statistical period comprises a plurality of wireless measurement periods;

2. The method of claim 1, wherein the load index comprises at least one of: the number of online users, the utilization rate of the physical resource block of the uplink service channel and the utilization rate of the physical resource block of the downlink service channel are simultaneously increased;

the determining the load indicator of the serving cell in the radio measurement period includes:

analyzing the measurement report data of the service cell in the wireless measurement period to obtain the number of simultaneous online users, the average occupation number of physical resource blocks of an uplink service channel, the average occupation number of physical resource blocks of a downlink service channel, the average available number of physical resource blocks of the uplink service channel and the average available number of physical resource blocks of the downlink service channel;

determining the utilization rate of the physical resource blocks of the uplink service channel according to the average occupied number of the physical resource blocks of the uplink service channel and the average available number of the physical resource blocks of the uplink service channel;

and determining the utilization rate of the physical resource blocks of the downlink service channels according to the average occupied number of the physical resource blocks of the downlink service channels and the average available number of the physical resource blocks of the downlink service channels.

3. The method of claim 2, wherein the utilization of the physical resource block of the uplink traffic channel is calculated by using a first formula, and the first formula is:

p₁＝p₂/p₃

4. The method of claim 2, wherein the utilization of the physical resource block of the downlink traffic channel is calculated by using a second formula, and the second formula is:

p₄＝p₅/p₆

5. The method of claim 2, wherein determining the load indicator of the serving cell in the radio measurement period further comprises:

determining whether the service cell has hardware faults or not according to the average available number of the physical resource blocks of the uplink service channel and/or the average available number of the physical resource blocks of the downlink service channel;

and if the service cell has no hardware fault, executing the step of determining the utilization rate of the physical resource block of the uplink service channel and the step of determining the utilization rate of the physical resource block of the downlink service channel.

6. The method of claim 2, wherein determining the load value of the serving cell in the statistical period comprises:

respectively arranging the number of simultaneous online users, the utilization rate of an uplink service channel physical resource block and the utilization rate of a downlink service channel physical resource block of the service cell in the statistical period;

taking the number of simultaneous online users, the utilization rate of an uplink service channel physical resource block and the utilization rate of a downlink service channel physical resource block corresponding to the preset guarantee duration in the arrangement result as the load value of the service cell in the statistical period;

and the preset guarantee duration is less than the statistical period.

7. The method according to any one of claims 1 to 6, wherein the preset high load standard includes an upper load value corresponding to each load value;

the determining whether the serving cell is a high-load cell in the counting period includes:

determining the ratio of each load value of the serving cell in the statistical period to the corresponding load upper limit value to obtain a plurality of ratios, and taking the maximum ratio of the ratios as the load coefficient of the serving cell in the statistical period;

and determining whether the service cell is a high-load cell or not according to the load coefficient and a preset upper limit of the load coefficient.

8. The method of claim 7, wherein the proportion of the traffic that needs to be balanced out is determined by using a third formula, and the third formula is:

c＝(a-b)/a

9. The method according to any one of claims 1 to 6, wherein the determining the first parameter configuration scheme comprises:

determining a difference value between the reference signal received power of the serving cell and the reference signal received power of each low-load neighbor cell to obtain a plurality of reference signal received power difference values, and determining a mapping relation between the reference signal received power difference values and an expected balanced service proportion according to the plurality of reference signal received power difference values;

determining the reference signal receiving power which needs to be adjusted for the service outward switching of the service cell according to the mapping relation and the service proportion of the service cell needing to be balanced outward, and taking a low-load adjacent cell corresponding to the reference signal receiving power as a target adjacent cell;

and determining the optimal configuration parameters of the serving cell and the target neighbor cell according to the reference signal receiving power required to be adjusted for the service outward switching of the serving cell, so as to obtain the first parameter configuration scheme.

10. The method according to any one of claims 1 to 6, wherein the screening resident users of the serving cell comprises:

screening users of which the frequency of generating service records in the service cell in a time period corresponding to any resident type in at least second preset days in continuous first preset days is greater than or equal to preset frequency, and taking the screened users as resident users of the service cell;

wherein the first preset number of days is greater than the second preset number of days.

11. The method according to any one of claims 1 to 6, wherein the determining the second parameter configuration scheme comprises:

determining the service proportion of the resident cell switched when the resident user uses the service according to the service proportion of the resident user not switched when the resident cell uses the service;

searching a reference signal receiving power difference value range corresponding to a service proportion meeting a preset condition in a pre-established corresponding relation table; the corresponding relation table comprises corresponding relations between a plurality of reference signal receiving power difference value ranges and a plurality of service proportions switched by a resident cell when a resident user uses services; the preset conditions include: the corresponding relation table is smaller than the business proportion of the resident user switched by the resident cell when using the business and the business proportion with the smallest absolute value of the difference between the business proportion of the resident user switched by the resident cell when using the business;

and determining the second parameter configuration scheme according to the maximum value in the reference signal received power difference range.

12. An apparatus for equalizing radio resources, the apparatus comprising:

13. A radio resource equalization apparatus, comprising: at least one processor, at least one memory, and computer program instructions stored in the memory that, when executed by the processor, implement the method of any of claims 1-11.

14. A computer-readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1-11.