WO2013091344A1

WO2013091344A1 - Method, device and system for optimizing cells in mobile communication system

Info

Publication number: WO2013091344A1
Application number: PCT/CN2012/075777
Authority: WO
Inventors: 庄宏成; 罗泽宙; 陈劼
Original assignee: 华为技术有限公司
Priority date: 2011-12-20
Filing date: 2012-05-19
Publication date: 2013-06-27
Also published as: CN103179625A; CN103179625B

Abstract

Disclosed is a method for optimizing cells comprising: obtain Key Performance Indicators (KPI) of Mobility Robustness Optimization (MRO) and Mobility Load Balancing (MLB) of the managed cells; select the cell that the united performance indicator of MRO and MLB is the worst as the cell to be optimized, and select the terminal to be handed over from the handover domain of the cell to be optimized, and determine the adjacent cells to be optimized; obtain the handover offset between a pair of cells, the offset enables the terminal to be handed over to satisfy an A3 event, and enables the KPI of MRO of the cell to be optimized to be lower than the preset value; assign the handover offset between a pair of cells to the terminal to be handed over for finishing the handover. Correspondingly, disclosed are a communication system and a device for optimizing cell. The above technical solutions performing united optimization for the cell with the worst performance and for the corresponding adjacent cells, based on the statistics of the key united performance indicator of the cells, realize the load balancing of the cells, at the same time, and reduce as far as possible the ping-pong handover, thus reducing efficiently the performance conflict between MRO and MLB, and enhancing the user experience.

Description

Cell optimization method, device and system in mobile communication system

Technical field

The present invention relates to the field of communications, and in particular, to a cell optimization method, apparatus, and system in a mobile communication system.

Background technique

In the current wireless network, the network becomes more and more complicated due to the coexistence of different networks. A large number of wireless parameters and data greatly increase the workload of network optimizers, and operators hope to reduce operating costs and manual intervention. In the background, the SON (self organizing network) feature of LTE is regarded as an important research direction of 3GPP. SON is a concept proposed by mobile operators in the standardized P-segment of LTE networks. The main idea is to implement some self-configuration and self-optimization functions of wireless networks, reduce manual participation, and reduce operating costs. In SON technology, mobility robustness optimization (MRO) and mobility load balancing (MLB) are two important functions.

The main purpose of the MRO is to minimize the number of ping-pong handovers in the handover process and improve the handover performance. The main purpose of the MLB is to resolve the imbalance between the cells and to switch the users of the overloaded cell to the light-loaded cell. The main parameters adjusted in MRO and MLB are switching parameters, including switching hysteresis parameters Hysteresis, switching trigger time Time-To-Trigger and switching offset Cell Individual Offset. In the prior art, the MRO is generally implemented by adjusting the switching hysteresis parameter and the switching trigger time, and the MLB is implemented by adjusting the switching offset.

Whether it is adjusting the handover lag parameter and switching the trigger time or adjusting the handover offset, the purpose is to enable the user in the overlapping area of the adjacent cell to select a more suitable serving cell. However, since the switching parameters of the MRO and MLB adjustments are related to each other, the MRO and the MLB are bound to affect each other, and the impact on the performance of the other party is difficult to determine, and sometimes even conflicting.

The solution to the MRO and MLB function conflict problem in the prior art is to coordinate the conflict between the MRO and the MLB function by introducing a coordination function unit. The coordination function unit detects the impact of the MLB on the MRO performance. If it is worse, it switches back the offset or closes the MLB-segment time. If the MLB is running, the MRO is coordinated, and the MRO is not allowed to block the MLB. In addition, coordination function unit detection The abnormal behavior of KPI (Key Performance Indicator), especially the KPI caused by MLB, is too large. At this time, the MLB offset adjustment or MLB is cancelled. The prior art solution does not fundamentally solve the problem of conflict between the MRO and the MLB function, but only when the MRO and the MLB conflict with each other, blocking or shutting down one of the functions, resulting in a decrease in user satisfaction.

Summary of the invention

The embodiment of the invention provides a cell optimization method, a network controller and a communication system, and jointly optimizes the MRO and the MLB to obtain a cell that compromises the performance of the MRO and the MLB by jointly optimizing the MRO and the MLB for the worst performing cell and the corresponding neighboring cell. To switch the offset, reduce the performance conflict between MRO and MLB, and improve the user experience.

An embodiment of the present invention provides a cell optimization method, including:

Obtaining the mobility of each managed cell and robustly optimizing the KPI of the MRO and MLB;

Calculating a joint performance indicator of each cell according to a KPI of the MRO of each cell and a KPI of the MLB;

Select the cell with the worst joint performance indicator as the cell to be optimized;

Selecting a to-be-switched terminal from the terminal located in the handover area, the presence of the to-be-switched terminal is such that the KPI of the MLB of the to-be-optimized cell is higher than a preset first threshold; the handover area includes the to-be-optimized cell and An overlapping area of each adjacent area of the cell to be optimized;

And the neighboring area corresponding to the overlapping area where the to-be-switched terminal is located is used as the to-be-optimized neighboring area; and the cell-to-optimized neighboring area of the to-be-optimized neighboring area is obtained, and the cell-to-intercept offset is obtained, where the cell The handover offset is a handover offset of the to-be-optimized cell with respect to any one of the to-be-optimized neighboring cells, and a set of handover offsets of any one of the to-be-optimized neighboring cells with respect to the to-be-optimized cell The cell-to-switching offset is used to configure the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring cells, so that the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring cells is to be optimized from the to-be-optimized neighbor The signal quality received by the area is better than the signal quality received from the to-be-optimized cell, and the KPI of the MRO of the to-be-optimized cell is lower than a preset second threshold;

And configuring, by the cell, a handover offset to the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring cells.

The embodiment of the invention further provides a cell optimization device, which includes:

An obtaining module, configured to acquire KPIs of the MROs of the managed cells and KPIs of the MLBs; a calculation module, configured to calculate, according to a KPI of the MRO of each cell and a KPI of the MLB, a joint performance indicator of each cell;

a first selection module, configured to select a cell with the worst joint performance indicator as the cell to be optimized; a second selection module, select a terminal to be switched from the terminal located in the handover area, where the presence of the to-be-switched terminal causes the to-be-optimized The KPI of the MLB of the cell is higher than a preset first threshold; the handover area includes an overlapping area of each of the neighboring cells of the to-be-optimized cell and the to-be-optimized cell;

a third selecting module, configured to use the neighboring area corresponding to the overlapping area where the switching to be switched terminal is located as a neighboring area to be optimized;

a second acquiring module, configured to acquire, for the to-be-optimized neighboring cell in the to-be-optimized neighboring cell, a cell-to-switching offset, where the cell-to-tuned offset is the to-be-optimized cell relative to the a handover offset of a neighbor to be optimized, and a set of handover offsets of the any neighbor to be optimized relative to the to-be-optimized cell; the cell-to-handover offset is used for configuration a to-be-switched terminal corresponding to the to-be-optimized neighboring cell, so that the signal quality of the to-be-switched terminal corresponding to the to-be-optimized neighboring cell is better than that received from the to-be-optimized cell. Signal quality, and the KPI of the MRO of the cell to be optimized is lower than a preset second threshold;

And a configuration module, configured to configure, by the cell, a handover offset to the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring cells.

The embodiment of the present invention further provides a communication system, including: a network controller and at least one base station; the base station is configured to: calculate a mobility performance optimization MRO of the local cell and a key performance indicator KPI of the mobility load balancing MLB;

The network controller is configured to acquire a key performance indicator KPI of the mobility robust optimized MRO and the mobility load balancing MLB of each managed cell; and calculate, according to the KPI of each cell and the KPI of the MLB, the calculated The joint performance index is selected as the cell with the worst joint performance indicator as the cell to be optimized; the terminal to be switched is selected from the terminal located in the handover area, and the presence of the terminal to be switched is such that the KPI of the MLB to be optimized is higher than the pre- The first threshold is set; the handover area includes an overlap area of each of the neighboring areas of the to-be-optimized cell and the to-be-optimized cell; and the neighboring area corresponding to the overlapping area where the handover to-be-switched terminal is located is regarded as Optimizing a neighboring cell; obtaining, for the to-be-optimized neighboring cell in the to-be-optimized neighboring cell, a cell-to-switching offset, where the cell-to-switching offset is the to-be-optimized cell to be optimized with respect to any one of the cells to be optimized a handover offset of the neighboring cell, and a set of handover offsets of the any neighboring cell to be optimized relative to the to-be-optimized cell; the cell-to-switching offset is used for matching Providing the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring areas, so that the signal quality of the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring areas is better than that from the to-be-optimized neighboring area. The signal quality received by the cell to be optimized, and the KPI of the MRO of the to-be-optimized cell is lower than a preset second threshold; and the cell-to-switching offset is configured to correspond to any one of the to-be-optimized neighboring cells. The terminal to be switched.

Through the foregoing technical solution, the embodiment of the present invention performs joint optimization on the worst performing cell and the corresponding neighboring cell based on the KPI statistics of the MRO and the MLB of the cell, and adjusts and configures the switching offset in the joint optimization process. In the implementation of cell load balancing, the number of ping-pong switching is also minimized, and the performance of MRO and MLB is compromised, thereby effectively reducing the performance conflict between MRO and MLB and improving the user experience. DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description For some embodiments of the present invention, other drawings may be obtained from those skilled in the art without departing from the drawings.

FIG. 1 is a structural diagram of an LTE self-organizing network system according to an embodiment of the present invention;

2 is a flowchart of a cell optimization method according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of a cell model according to an embodiment of the present invention;

4 is a flowchart of a method for selecting a terminal to be switched according to an embodiment of the present invention; FIG. 5 is a schematic diagram of a cell handover model according to an embodiment of the present invention;

FIG. 6 is a schematic diagram of a method for determining a neighboring cell to be optimized according to an embodiment of the present invention;

FIG. 7 is a schematic diagram of a cell optimization apparatus according to an embodiment of the present disclosure;

FIG. 8 is a structural diagram of a communication system according to an embodiment of the present invention;

FIG. 9 is a structural diagram of a joint optimization unit of a communication system according to an embodiment of the present invention. detailed description

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, instead of All embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention. The technical solution of the present invention can be applied to various communication systems, such as LTE (Long Term Evolution), Code Division Multiple Access (CDMA), and Wideband Code Division Multiple Access (CDMA). Communication systems such as WCDMA (WCDMA, Wideband Code Division Multiple Access), Global System for Mobile Communications (GSM), and General Packet Radio Service (GPRS). However, in order to explain the technical solution of the present invention more conveniently, the following only describes the LTE system as an example.

FIG. 1 is a structural diagram of an LTE self-organizing network system according to an embodiment of the present invention. As can be seen from Figure 1,

The LTE ad hoc network includes a SON controller and at least one base station, and the base station can cover at least one cell; the functional unit of the base station is responsible for the KPI statistics and load statistics and predictions of the MRO and the MLB of the cell, and is regularly reported to the cell. The SON controller is responsible for making a decision to adjust the handover offset parameter, and sends a new configuration of the handover offset parameter to the corresponding base station, and the base station accordingly adjusts the terminal in the coverage cell.

As shown in FIG. 2, an embodiment of the present invention provides a cell optimization method, which is applied to an LTE self-organizing network as shown in FIG. 1, and the method includes:

Step 201: Acquire a KPI of the MRO and the MLB of each managed cell;

It should be noted that the KPI of the MRO of the cell includes, but is not limited to, the handover failure rate and the number of ping-pong handovers. The KPI of the MLB of the cell includes, but is not limited to, the number of unsatisfied users, the USN, and the dropped call rate.

In the embodiment of the present invention, the ping-pong handover number HPP and the unsatisfactory user number USN of the cell are respectively selected as the KPIs of the cell MRO and the MLB; of course, it can be understood that, in another embodiment, the handover failure rate and the dissatisfaction may also be separately selected. The number of users USN is the KPI of the cell MRO and the MLB. This embodiment of the invention is not particularly limited.

In one embodiment, the number of ping-pong handovers of the cell is HPP. It can be counted based on the handover message: Specifically, taking the cell C as an example, the HPP of the cell C at the start of the statistics. Initialized to 0, in a statistical period, each time the cell c receives the handover request message (Handover request) of the terminal, the cell information of the terminal staying from the terminal is obtained from the terminal history information in the Handover request, if two The GCI (Cdl Global Identity) of the previous cell in the cell information is the same as the local cell, and if the dwell time of the latter cell is less than the preset ping-pong time threshold, the terminal is considered to be a ping-pong handover terminal, and the cell c The number of ping pong switching HPP. plus 1.

The number of unsatisfied users in cell C is USN. The statistical method is:

( 1 )

Among them, M. The number of active users in cell c; when the user is in the active state, it indicates that the base station is serving it, so the M of the cell can be obtained from the base station. , A is the load of cell c.

In the actual application, taking the cell c as an example, and the cell d is a neighboring cell of the cell c, the load and the predicted load of the cell c can be counted as follows:

The resources required for the service of terminal m in cell c are:

Wherein, D _s , _m is the rate required for the service s of the terminal m, and corresponds to a different quality indicator QCI (Quality Class Indicator). It should be noted that the QCI is defined in the 3gpp standard and represents the rate requirement of different types of services; R. _m is the unit rate obtainable by the terminal _m of the cell c.

It should be noted that the terminal may be a user equipment (User Equipment, UE), a mobile relay, or the like. The terminal may be a mobile phone, a personal computer, or the like. The embodiment of the present invention is described by taking a terminal as an example, but is not used to limit the protection range of the terminal.

Specifically, it can be calculated by formula (3): R _c , _m

SINR _c , _m /; 7 3 ) where SINR^m is the signal-to-noise ratio of the terminal m of the cell c, which is the resource unit of the system, k ¹ is the scheduling gain of the cell c where the terminal m is located, and the ^s dish is the model adjustment parameter , k ^eh , and the parameters of the dish are set by the operator according to the scheduling and modulation type, and siNR _e , _m can be calculated by the formula (4):

Pg

SINR _cm = _n ^ ^m ——

D≠c

(4)

Among them, P. And P _d are the transmission power of the cell C and the neighboring area d, respectively. , _m and g _d , _m are the channel gains of the cell c and the neighboring cell d to the terminal m, respectively, P ⁿ is the noise power, and _d is the load of the neighboring zone d. According to the above method, the services of all the terminals in the cell c are required. The resources are accumulated, and the load corresponding to the admission control threshold of the cell c is calculated, and the load of the cell c can be calculated:

p _c =∑w _c , _s K

I

(5)

Among them, W. For the resource corresponding to the admission control threshold of the cell c, it should be noted that the admission control threshold of the cell is set by the operator.

Step 202: Calculate a joint performance indicator of each cell according to the MRO of each cell and the KPI of the MLB.

In one embodiment, the joint performance indicator for the cell is defined as:

In formula (6), where ^ and ^ are the weight of the KPI of the MRO and the KPI of the MLB, respectively, the weight value is determined by the operator's strategy, for example, ί3⁄4 can be set.

=0.9; MRO-KPI and MLB_KPI represent the KPI of the MRO of the cell and the KPI of the MLB, respectively. The smaller the joint performance indicator of the cell, the worse the performance of the cell. Step 203: Select a cell with the worst joint performance indicator as the cell to be optimized.

It should be noted that the smaller the joint performance indicator of the cell is, the worse the performance of the cell is indicated. In this hair

In the embodiment, the cell with the worst joint performance indicator is selected as the cell to be optimized, and the cell to be optimized, that is, the cell that needs to be optimized;

It can be understood that, in another embodiment, a cell whose joint performance indicator Φ is smaller than a system-set threshold may be selected as a cell to be optimized, and the threshold may be set by an operator; in another embodiment, The above two conditions are combined to select a cell to be optimized. Specifically, the joint performance index Φ of each cell is calculated according to the formula (6), and the cell with the smallest joint performance index, that is, the cell with the worst performance, is selected by the sorting comparison, if the joint performance index of the worst performing cell is Φ If the threshold is less than the system, the cell is determined to be the cell to be optimized.

Step 204: Select a to-be-switched terminal from the terminal located in the handover area, where the presence of the to-be-switched terminal is such that the KPI of the MLB of the to-be-optimized cell is higher than a preset first threshold; Optimizing the overlapping area of the cell and each neighboring cell of the to-be-optimized cell;

The terminal to be switched is a terminal that needs to be switched or migrated. Specifically, as shown in FIG. 4, in an embodiment, step 204 includes:

Step 2041: Obtain a predicted load of the to-be-optimized cell.

Specifically, it is assumed that the cell is the cell to be optimized, and in order to obtain the load in the next statistical period of the cell c, the service distribution rule of each pixel in the cell c needs to be obtained; Sub-area, the range of each cell is divided into several small areas (pixels), usually regular areas (eg, squares). Specifically, the predicted load in the next statistical period of the cell can be calculated based on the Holt-Winters method:

In order to enable those skilled in the art to better understand the embodiments of the present invention, the Holt- Winters prediction method will be described below.

Suppose _Xl , .. represents a time series with period d, based on the sequence of the current record, prediction The bad sequence value _{+ h} after ¹ J h Holt- Winters method steps:

1 _Λ =ζ-{^ - _ _ά )+{\-ζ)-1 _Λ _ _ι

I _t =^-(^-1^) + (1-^)-1 _{( d} (7)

X _t+h = + It- d+hmodd

Among them, is the mean part, I _t is the period part, 0 ≤ ≤ 1 and 0 ≤ ≤ 1 is the parameter that controls the degree of smoothness, 111110 (1 (1 means 11 pairs (1 finds the remainder).

In this embodiment, in order to predict the load of the cell, the load is periodically counted in units of cells, and the statistical period is relatively longer than the scheduling period, such as 1 hour. Divide the range of each cell into a number of small areas (pixels), usually regular areas (eg, squares), measure and record traffic in units of pixels, and use the above formula (7) for statistics and prediction to obtain each The distribution of traffic within the pixel.

After calculating the pixel-based traffic distribution, the predicted load of the cell c is calculated by the following method: Three parameters (1, and ii) are introduced to the cell, and the three parameters are defined as follows:

T s, _P 7

P Ί7 DP ^r d - &Sd

c,d = W .•l V ^sscchh ·.τ"ι ^BW ·.ΡP . σ

seS peP _c ^W b _c · ^K c V _c 6c, (9)

SINR

• ri

s,p

^ W · k ^sch · n ^BW . P . σ

seS peP _c ^W bb _cc · ^K cc 7 / c && cc,, ip ( io ) where T _sp is the number of users belonging to the service s in the p-th pixel of the cell c, and D _s is the bandwidth requirement of the service s, P. And P _d are the transmit powers of cell c and cell d, respectively. , _p is the average channel gain of cell c to pixelp, W _b . The resource corresponding to the admission control threshold of the cell c. Also, define the function: f _(x) = ^lQ g ⁽²⁾

Ln(l + l/x) ( 11 ) The load prediction of cell c is:

Step 2042: Calculate the number of unsatisfied users of the to-be-optimized cell under the predicted load. It should be noted that, according to the method for calculating the number of unsatisfied users of the cell according to the load, refer to formula (1) of step 201. I won't go into details here.

Step 2043, calculating, according to the number of unsatisfied users of the to-be-optimized cell under the predicted load, calculating the number N of terminals to be switched;

Specifically, in an embodiment, the number of to-be-switched terminals of the KPI to be optimized for selecting the USN as the MLB of the cell to be optimized c is:

N = USN _C - N _{USL HR} ( 13 ) where N _usn , _th r is a preset first threshold, specifically to this embodiment, N _usn , _th r represents the USN threshold of cell C, N _usn , _th r — It is set by the operator.

Step 2044: Obtain a signal quality value of the to-be-optimized cell and a corresponding neighbor of the to-be-optimized cell that are received by each terminal in the overlapping area of the to-be-optimized cell and the neighboring cell of the to-be-optimized cell. Signal quality value of the zone;

It should be noted that the signal quality value received by each terminal in the overlapping area of the cell to be optimized and all its neighboring cells may be specifically measured by different types of parameters, for example, in the LTE system, measured by RSRP. The signal quality received by the terminal is measured by Ec/Io in the CDMA system. It should be understood by those skilled in the art that the signal strength received by the terminal can also be measured by using indicators such as RSCP and RSRQ. In the embodiment, the technical solution of the present invention is illustrated by taking the RSRP in the LTE system as an example, but is not used to limit the protection range of the signal quality value.

Step 2045: Calculate a difference between a signal quality value of each neighboring cell of the to-be-optimized cell received by each terminal and a received signal quality value of the to-be-optimized cell.

Step 2046, selecting N terminals as the end to be switched according to the order of the difference from large to small End.

The method of steps 2044-2046 is described in detail below. For the convenience of analysis, we take two cells as an example. As shown in FIG. 5, it is assumed that c is a cell to be optimized, and neighboring cell d is a neighbor of cell c. In a certain measurement period, according to the RSRP measurement value of the serving cell c and the neighboring cell d fed back by the terminal, combined with the coverage of the large-scale fading of the serving cell and the neighboring cell, the handover of the cell c to be optimized may be performed. The terminal (here, the cell c and the adjacent cell d edge overlap region) is identified, for example, terminal 1 and terminal 2 terminal m in FIG. 5; and then calculated for each identified terminal located in the handover region The difference between the RSRP of the neighboring area d and the RSRP of the current cell c, and finally the N users with the largest difference are selected as the terminals to be switched (that is, the N terminals are selected according to the order of the difference from large to small) As the terminal to be switched, where N is the number N of terminals to be switched determined in step S2043.

It should be noted that, in order to facilitate analysis and understanding, the embodiment of the present invention uses two neighboring cells as an example to describe how to select a terminal to be switched. In practical applications, there are at most six cells to be optimized. To optimize the neighboring cell, the corresponding cell to be optimized and the six adjacent cells to be optimized also have 6 edge overlapping regions, that is, 6 switching regions, so the terminal to be switched may come from multiple switching regions, that is, from the six overlapping regions. The N users with the largest difference are selected as the terminals to be switched (that is, N terminals are selected as the terminals to be switched according to the order of the difference from large to small).

It can be understood that, according to the method for selecting a to-be-switched terminal from a to-be-optimized neighboring cell of the cell to be optimized, the person skilled in the art can undoubtedly infer all the neighboring cells to be optimized from the cell to be optimized. The method for selecting a terminal to be switched is not described in detail in the embodiment of the present invention.

Specifically, it is assumed that the number of RSRP sampling points of the terminal m in the period T is K, and the RSRP value of the terminal m in the handover area of the cell c in its current serving cell c is:

Where is the RSRP value measured by the terminal _m in the kth time of the cell _c , where A is a smoothing coefficient, Can be set to 0.6.

Correspondingly, the RSRP value of the terminal m in the handover area of the cell c in its neighboring area d is: (15) where

RSRP value, A is the smoothing factor and can be set to 0.6.

Based on the calculated RSRP of the terminal m in the serving cell c and the RSRP in its neighboring zone d, the RSRP difference ΔΜ is calculated:

△ Μ = = Μ - Μ ( 1 ) Finally, the RSRP difference between all the terminals in the overlapping area of the cell c and the neighboring cell d is sorted in descending order, and then according to the previously determined number of terminals to be switched N And selecting the RSRP difference in the top N terminals as the to-be-switched terminal. Correspondingly, since the selected N to-be-switched terminals are located in the edge overlapping area of the cell c and the cell d, if the cell d is also capable of accepting new user access, the to-be-switched terminal can switch to the cell d. Specifically, it may be determined according to the predicted load of the cell d whether it can accept new user access. If the predicted load of the cell d is less than 1, it can be considered as allowing new users to access, and the to-be-switched terminal selects the cell d as The target cell of the handover.

It should be noted that, in order to facilitate analysis and understanding, the embodiment of the present invention uses two neighboring cells as an example to describe how to select a terminal to be switched. In practical applications, there are at most six cells to be optimized. To optimize the neighboring cell, the corresponding cell to be optimized and the six adjacent cell to be optimized also have 6 edge overlapping regions, that is, 6 switching regions, so the terminal to be switched may come from multiple switching regions, it being understood that based on the present invention A method for selecting a to-be-switched terminal from a to-be-optimized neighboring cell of the cell to be optimized is disclosed by the embodiment, and those skilled in the art may infer that the terminal to be switched is selected from all the to-be-optimized neighboring cells of the cell to be optimized. The method of the present invention will not be described again.

Step 205: The neighboring area corresponding to the overlapping area where the switching to be switched terminal is located is used as a neighboring area to be optimized. It is well understood that, as shown in FIG. 6, each terminal in the overlapping area in the figure is a selected terminal to be switched. It can be seen from the figure that the overlapping area where each terminal to be switched is located is formed by the cell to be optimized and one neighboring cell, that is, each overlapping zone corresponds to a neighboring zone to be optimized. Therefore, after the terminal to be switched is determined, the neighboring area forming the overlapping area with the cell to be optimized can be obtained according to the overlapping area where the switching terminal is located, and the neighboring area is used as the neighboring area to be optimized.

Next, in conjunction with FIG. 3, an alternative method for determining the neighboring cell to be optimized will be described.

As shown in FIG. 3, it is assumed that cell c is a cell to be optimized that needs to be selected, and cell d, e, f, g, h, i is a neighboring cell of cell c, and the shaded part in FIG. 3 is a cell c cell and adjacent The cell edge overlap region, that is, the handover region of the cell c, the terminal located in the handover region may switch to the adjacent cell.

In order to facilitate the understanding by those skilled in the art, the embodiment of the present invention uses a neighboring area d of the cell c to be optimized as an example. If a terminal is currently located in the overlapping area of the cell c and the cell d, the cell d can also accept new users. When accessing, cell d is a neighboring cell to be optimized of cell c. Specifically, it can be determined according to the predicted load of the cell d whether it can accept new user access. If the predicted load of the cell d is lower than a preset threshold, for example, the predicted load of the cell is less than 1, it can be considered as allowing new If the user accesses, the cell d can be selected as a to-be-optimized neighboring cell of the cell c to be optimized. It can be understood that, in another embodiment, multiple neighboring cells (up to all neighboring cells of the cell C) that meet the foregoing conditions may be selected from all neighboring cells of the cell c to be optimized as the to-be-optimized neighbor of the cell C. Area.

Step 206, said to be optimized for any one of a neighboring area neighbor to be optimized, obtaining a cell switching offset _{(Cio, CiO 'cl, ...} , CiO), the cell of the handover offset Determining a handover offset of the optimized cell relative to any one of the to-be-optimized neighboring cells, and a set of handover offsets of the any neighboring cell to be optimized relative to the to-be-optimized cell; The shifting is used to configure the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring areas, so that the signal to be switched of the to-be-switched terminal corresponding to the to-be-optimized neighboring area is good. And a signal quality received from the to-be-optimized cell, and causing the MRO of the to-be-optimized cell to be lower than a preset second threshold; in one embodiment, the terminal receives a signal from the neighboring cell to be optimized The quality is better than the cell to be optimized The received signal quality is specifically that the signal quality value received by the terminal from the to-be-optimized neighboring cell is greater than a certain threshold of the signal quality value received from the to-be-optimized cell, that is, the terminal satisfies the A3 event; As defined in the LTE standard, the A3 event indicates that the quality of the neighboring cell is better than that of the serving cell. Specifically, when the condition defined by the formula (17) is satisfied, the terminal determines to enter the A3 event state:

M _dm > M _cm + CIO' _c - CIO' _d + Hys _c ( 17 ) where m denotes one of the selected N to-be-switched terminals, M. _m represents a signal quality value received by the to-be-switched terminal from the to-be-optimized cell, M _dm represents a signal quality value received by the to-be-switched terminal from the to-be-optimized neighboring cell, and cio represents the to-be-optimized cell relative to handover offset to the neighboring cell to be optimized, CIO _'d denotes neighbor to be optimized with respect to the offset to be optimized handover cell, Hys. Representing a hysteresis parameter or a hysteresis parameter of the cell to be optimized. In an embodiment, the KPI of the MRO of the to-be-optimized cell is lower than a preset second threshold, specifically, the part of the to-be-switched terminal does not satisfy the ping-pong handover condition, and further, the terminal The ping-pong switching condition is not satisfied, and can be expressed by formula (18):

M _d , _m > M _c , _m + CIO' _c -CIO' _d -Hy _Sd , d E ( _Cl ,c ₂ ,...,c _n ) ( 18 ) where m represents the selected N to be switched One of the terminals, M. _m represents a signal quality value received by the to-be-switched terminal from the to-be-optimized cell, and M _dm represents a signal quality value received by the to-be-switched terminal from the to-be-optimized neighboring cell, and CIO indicates that the to-be-optimized cell is relatively handover offset to the neighboring cell to be optimized, CIO _'d denotes neighbor to be optimized with respect to the offset to be optimized handover cell, Hys. Representing the hysteresis parameter or hysteresis parameter of the adjacent zone to be optimized.

Step 207: Configure the cell to handover offset to the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring cells.

After the cell-to-intercept offset is obtained, the handover offset of the cell to be optimized is sent to the base station of the cell to be optimized, and the neighbor to be optimized is compared with the to-be-optimized cell. The handover offset of the area is sent to the base station to be optimized, and the base station to be optimized and the base station to be optimized receive the handover offset, and then configure the handover offset to the terminal to be switched, so as to be switched. The terminal completes the handover.

Further, due to the estimation error and the impact of the emergency, the performance of the cell after the joint optimization of the MRO and the MLB may not be improved, and may even be further deteriorated. To avoid this, the cell pair is switched. After the configuration is performed on the to-be-switched terminal, the cell optimization method in the embodiment of the present invention further includes:

Step 208: Re-acquire the KPI of the MRO and the MLB of the to-be-optimized cell, and calculate the optimized joint performance indicator of the to-be-optimized cell, if the optimized joint performance index of the to-be-optimized cell is lower than the joint performance indicator And, the handover offset of the to-be-optimized cell relative to the to-be-optimized neighboring cell is restored to an initial value.

Specifically, the optimized joint performance indicator of the to-be-optimized cell may be calculated according to the formula (6). If the optimized joint performance indicator of the to-be-optimized cell is lower than that before the optimization, the performance of the cell is deteriorated. Then, the offset of the cell is restored to the switching offset before the adjustment.

Through the foregoing technical solution, the embodiment of the present invention performs joint optimization on the worst performing cell and the corresponding neighboring cell based on the KPI statistics of the MRO and the MLB of the cell, and adjusts and configures the switching offset in the joint optimization process. In the implementation of cell load balancing, the number of ping-pong switching is also minimized, and the performance of MRO and MLB is compromised, thereby effectively reducing the performance conflict between MRO and MLB and improving the user experience. Further, by combining MRO and MLB The optimized performance indicators of the optimized cell are tracked and adjusted to avoid further deterioration of the cell performance caused by prediction errors and unexpected events.

The embodiment of the present invention provides a network controller, including: a first ear module 610, configured to acquire KPIs of MROs of respective managed cells and KPIs of MLBs;

It should be noted that the KPI of the MRO of the cell specifically includes but is not limited to: handover failure rate, ping The number of times of the pong switch HPP; the KPI of the MLB of the cell specifically includes but is not limited to: the number of unsatisfied users USN, the dropped call rate.

The embodiment of the present invention selects the ping-pong handover number HPP and the unsatisfactory number of users USN as the KPIs of the cell MRO and the MLB respectively. It can be understood that, in another embodiment, the handover failure rate and the dissatisfied user may also be separately selected. The USN is used as the KPI of the cell MRO and the MLB, and is not specifically limited in this embodiment of the present invention.

For the method of acquiring the HPP and the USN of the cell, refer to step 201.

The calculating module 620 is configured to calculate, according to the KPI of the MRO of each cell and the KPI of the MLB, a joint performance indicator of each cell;

Specifically, the calculation module 620 calculates the joint performance indicator of each cell according to the formula (6). a first selection module 630, configured to select a cell with the worst joint performance indicator as the cell to be optimized, and a second selection module 640, configured to select a terminal to be switched from the terminal located in the handover area, where the presence of the terminal to be switched is The KPI of the MLB of the to-be-optimized cell is higher than a preset first threshold; the handover area includes an overlapping area of the to-be-optimized cell and each neighboring cell of the to-be-optimized cell;

It should be noted that the method for the second selection module 640 to select a neighbor to be optimized may refer to the steps.

104, no longer mentioned here.

a third selection module 650, configured to use, as the to-be-optimized neighboring area, the neighboring area corresponding to the overlapping area where the switching to be switched terminal is located

Specifically, as shown in FIG. 8, in an embodiment, the second selection module 640 may include: a first obtaining unit 6401, configured to acquire a predicted load of the to-be-optimized cell;

For example, the method for obtaining the predicted load of the cell to be optimized may refer to step 2041.

a first calculating unit 6402, configured to calculate an unsatisfactory number of users of the to-be-optimized cell under the predicted load;

In an embodiment, the first calculating unit 6402 calculates the number of unsatisfied users US of the to-be-optimized cell under the predicted load according to the formula USN _C = max((l - ^ )M _C , 0) . Among them, M. For The number of active users of the to-be-optimized cell, _A is the predicted load of the to-be-optimized cell; the second calculating unit 6403, calculating the to-be-switched terminal based on the number of unsatisfied users of the to-be-optimized cell under the predicted load Number N;

Specifically, the second calculating unit 6403 calculates the number N of terminals to be switched according to the formula N = USNc - N _usn , _thf , where N _usn , _th r is a preset first threshold, specifically to the embodiment, N _Usn , _th r represents the USN threshold of cell c, and N _usn , _{tte is} generally set by the operator.

a second acquiring unit 6404, configured to obtain a signal quality value of the to-be-optimized cell received by each terminal in the overlapping area of the to-be-optimized cell and all neighboring cells of the to-be-optimized cell, and the corresponding to-be-optimized Optimizing the signal quality values of each neighborhood of the cell;

It should be noted that the signal quality values received by the terminals in the overlapping area of the to-be-optimized cell and the to-be-optimized neighboring cell may be specifically measured by different types of parameters. For example, in the LTE system, the terminal is measured by RSRP. Received signal quality, in CDMA system, Ec/Io is used to measure signal quality. Those skilled in the art should understand that RSCP, RSRQ and other indicators can also be used to measure the signal strength received by the terminal, which is implemented in the present invention. In the example, the technical solution of the present invention is described by taking the RSRP in the LTE system as an example, but is not used to limit the protection range of the signal quality value.

a third calculating unit 6405, configured to calculate a difference between a signal quality value of each neighboring cell of the corresponding to-be-optimized cell and a received signal quality value of the to-be-optimized cell that is received by each terminal;

The selecting unit 6406 is configured to select N terminals as the to-be-switched terminal according to the order of the difference from large to small.

The specific working steps of the second obtaining unit 6404, the third calculating unit 6405 and the selecting unit 6406 can refer to step 2406.

The second obtaining module 660 is configured to acquire a cell-to-handover offset, where the cell-to-switching offset is a handover offset of the to-be-optimized cell with respect to each to-be-optimized neighboring cell, and each of the to-be-optimized neighbors a set of handover offsets of the zone relative to the cell to be optimized; the cell pair handover offset is used And configured to the to-be-switched terminal, so that the signal quality of the to-be-switched terminal received from the to-be-optimized neighboring cell is better than the signal quality received from the to-be-optimized cell, and the MRO of the to-be-optimized cell is obtained. The KPI is lower than a preset second threshold; in an embodiment, the quality of the signal received by the terminal from the to-be-optimized neighboring area is better than the quality of the signal received from the to-be-optimized cell, specifically referring to the terminal The signal quality value received by the optimized neighboring cell is greater than a certain threshold of the signal quality value received from the to-be-optimized cell, that is, the terminal satisfies the A3 event; it should be noted that, according to the definition in the LTE standard, the A3 event indicates the neighboring The cell quality is better than the serving cell. Specifically, when the condition defined by the formula (17) is satisfied, the terminal determines to enter the A3 event state:

M _d , _m > M _cm + CIO' _c - CIO' _d +Hys _c ( 17 ) where m denotes one of the selected N terminals to be switched, M. And _m represents a signal quality value received by the to-be-switched terminal from the to-be-optimized cell, where M _d , _m represents a signal quality value received by the to-be-switched terminal from the to-be-optimized neighboring cell, and CIO represents the to-be-switched terminal optimization of cell switching offset with respect to the neighboring cell to be optimized, CIO _'d denotes neighbor to be optimized with respect to the offset to be optimized handover cell, Hys. Representing a hysteresis parameter or a hysteresis parameter of the cell to be optimized.

In an embodiment, the KPI of the MRO of the to-be-optimized cell is lower than a preset second threshold, specifically, the part of the to-be-switched terminal does not satisfy the ping-pong handover condition, and further, the terminal The ping-pong switching condition is not satisfied, and can be expressed by formula (18):

M _d , _m > M _c , _m + CIO' _c -CIO' _d -Hy _Sd , d E ( _Cl ,c ₂ ,...,c _n ) ( 18 ) where m represents the selected N to be switched One of the terminals, M. _m represents a signal quality value received by the to-be-switched terminal from the to-be-optimized cell, and M _dm represents a signal quality value received by the to-be-switched terminal from the to-be-optimized neighboring cell, and CIO indicates that the to-be-optimized cell is relatively In the handover offset of the to-be-optimized neighboring cell, CIO′ _d represents a handover bias of the to-be-optimized neighboring cell with respect to the to-be-optimized cell Shift, Hys. Representing the hysteresis parameter or hysteresis parameter of the adjacent zone to be optimized.

The configuration module 670 is configured to configure the cell to handover offset to the to-be-switched terminal. After the second acquisition module 660 obtains the cell-to-intercept offset, the configuration module 670 sends the handover offset of the cell to be optimized to the base station to be optimized in the cell-to-cut offset, and waits for the cell to be optimized. The handover offset of the neighboring cell to the cell to be optimized is optimized and sent to the base station to be optimized. After the base station to be optimized and the base station to be optimized receive the handover offset, the handover offset is configured to be switched. The terminal, so that the terminal to be switched completes the handover.

Further, the performance of the cell that is jointly optimized by the MRO and the MLB may not be improved, and may be further deteriorated due to the estimation error and the impact of the emergency. To avoid this, the embodiment of the present invention provides the network controller. Includes:

The feedback module 680 is configured to re-acquire the KPI of the MRO and the MLB of the to-be-optimized cell, and calculate the optimization of the to-be-optimized cell, after the configuring the cell-to-optimized handover target to the to-be-switched terminal a post-join performance indicator, if the optimized joint performance indicator of the to-be-optimized cell is lower than the joint performance indicator, the handover offset of the to-be-optimized cell relative to the to-be-optimized neighboring region is restored to an initial value. .

Specifically, the feedback module 680 calculates the optimized joint performance indicator of the to-be-optimized cell according to the formula (6), and if the optimized joint performance index of the to-be-optimized cell is lower than that before the optimization, the performance of the cell is demonstrated. If it is deteriorated, the offset of the cell is restored to the switching offset before the adjustment.

A person skilled in the art can clearly understand that, for the convenience and the cleaning of the description, the specific working process of the device and the unit described above can refer to the corresponding process in the foregoing method embodiment, and details are not described herein again.

According to the foregoing technical solution, the embodiment of the present invention performs joint optimization on the worst performing cell and the corresponding neighboring cell based on the statistics of the KPI of the MRO and the MLB of the cell through the foregoing technical solution, in the joint optimization process. , by adjusting and configuring the switching offset, implementing the cell load Balanced also minimizes the number of ping-pong switching, achieving a compromise between MRO and MLB performance, thus effectively reducing MRO and MLB performance conflicts and improving the user experience; further, through the feedback module to jointly optimize MRO and MLB The joint performance indicators of the cell are tracked and adjusted to avoid further deterioration of the cell performance caused by prediction errors and unexpected events.

Embodiments Referring to FIG. 9, an embodiment of the present invention provides a communication system, including: at least one base station (such as 80 and 81 in FIG. 9) and a network controller 90, where:

a base station, configured to calculate a KPI of the MRO and the MLB of the cell;

a network controller 90, configured to acquire a key performance indicator KPI of the mobility robust optimized MRO and the mobility load balancing MLB of each managed cell; and calculate, according to the KPI of the MRO and the MLB of each cell, The joint performance index is selected as the cell with the worst joint performance indicator as the cell to be optimized; the terminal to be switched is selected from the terminal located in the handover area, and the presence of the terminal to be switched is such that the KPI of the MLB to be optimized is higher than the pre- The first threshold is set; the handover area includes an overlap area of each of the neighboring areas of the to-be-optimized cell and the to-be-optimized cell; and the neighboring area corresponding to the overlapping area where the handover to-be-switched terminal is located is regarded as Optimizing a neighboring cell; obtaining, for the to-be-optimized neighboring cell in the to-be-optimized neighboring cell, a cell-to-switching offset, where the cell-to-switching offset is the to-be-optimized cell to be optimized with respect to any one of the cells to be optimized a handover offset of the neighboring cell, and a set of handover offsets of the any neighboring cell to be optimized relative to the to-be-optimized cell; the cell-to-switching offset is used for configuration And the to-be-switched terminal corresponding to the to-be-optimized neighboring cell to be switched, so that the signal quality of the to-be-switched terminal corresponding to the to-be-optimized neighboring cell is better than that from the to-be-optimized neighboring cell Optimizing the signal quality received by the cell, and making the KPI of the MRO of the to-be-optimized cell lower than a preset second threshold; configuring the cell-to-switching offset to the corresponding one of the to-be-optimized neighboring cells The terminal to be switched. .

It should be noted that the KPI of the MRO of the cell specifically includes, but is not limited to, a handover failure rate and a ping-pong handover number HPP. The KPI of the MLB of the cell specifically includes, but is not limited to, an unsatisfactory number of users USN and a dropped call rate. The embodiment of the present invention selects the ping-pong handover number HPP and the unsatisfactory number of users USN as the KPIs of the cell MRO and the MLB respectively. It can be understood that, in another embodiment, the handover failure rate and the dissatisfied user may also be separately selected. The USN is used as the KPI of the cell MRO and the MLB, and is not specifically limited in this embodiment of the present invention.

In an embodiment, the network controller 90 is further configured to: after the configuring the cell-to-switching offset to the to-be-switched terminal, re-acquiring the KPI of the MRO and the MLB of the to-be-optimized cell, and Calculating the optimized joint performance indicator of the to-be-optimized cell, if the optimized joint performance index of the to-be-optimized cell is lower than the joint performance indicator, comparing the to-optimized cell with respect to the to-optimized neighboring cell The switching offset is restored to the initial value.

According to the foregoing technical solution, the embodiment of the present invention performs joint optimization on the worst performing cell and the corresponding neighboring cell based on the statistics of the KPI of the MRO and the MLB of the cell through the foregoing technical solution, in the joint optimization process. By adjusting and configuring the switching offset, the cell load balancing is implemented while minimizing the number of ping-pong switching, achieving a compromise between MRO and MLB performance, thereby effectively reducing MRO and MLB performance conflicts and improving the user experience; By tracking and adjusting the joint performance indicators of the jointly optimized MRO and MLB cells, the problem of further deterioration of the cell performance caused by prediction errors and unexpected events is avoided.

A person skilled in the art can clearly understand that for the convenience and the cleaning of the description, the specific working process of the device and the unit described above can refer to the corresponding process in the foregoing method embodiments, and details are not described herein again. In the several embodiments provided in the present application, it is to be understood that the disclosed systems, devices, and methods may be implemented in other manners without departing from the spirit and scope of the application. For example, the device embodiments described above are merely illustrative. For example, the division of the unit is only a logical function division. In actual implementation, there may be another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not executed. Among the above The components may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment. Those of ordinary skill in the art can understand and implement without any creative effort.

The above is only a specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention. It should be covered by the scope of the present invention. Therefore, the scope of the invention should be determined by the scope of the claims.

Claims

A cell optimization method, comprising:

Obtaining the mobility robust optimization of each managed cell MRO and mobility load balancing MLB key performance indicators KPI;

Calculating the jointness of the respective cells according to the MRO of the respective cells and the KPI of the MLB;

Profit _

Selecting to be cut from the terminal located in the switching area 2

3 changing the terminal, the presence of the terminal to be switched makes the

The KPI of the MLB of the to-be-optimized cell is higher than a preset first threshold; the handover area includes the to-be-optimized

begging

An overlapping area of each adjacent area of the cell to be optimized;

The method according to claim 1, wherein the calculating the joint performance indicator of each of the cells according to the KPI of the MRO of the respective cell and the KPI of the MLB, specifically comprising: small region j_ ,, j I according to well-type ^{Si, 0 w> = (1 +} + «2 MLB _ KPI,), ' operator ¹ meter apart the said plant

The joint performance indicators of each cell, where, and the MRO of the MRO and the MLB respectively The weights, MRO_KPI and MLB_KPI represent the KPI of the MRO of each cell and the KPI of the MLB, respectively.

The method according to claim 1 or 2, wherein the RO of the MRO comprises: a number of ping-pong switching ΗΡΡ or a handover failure rate; and the ΚΡΙ of the MLB comprises: an unsatisfactory number of users USN.

The method according to claim 3, wherein the selecting the to-be-switched terminal from the overlapping areas of the neighboring cells of the to-be-optimized cell and the to-be-optimized cell includes:

Obtaining a predicted load of the to-be-optimized cell;

According to the formula USNc = ma _X ((l - )M _c , 0), the number of unsatisfied users USN of the to-be-optimized cell under the predicted load is calculated. , where, M. For the number of active users of the to-be-optimized cell, ^ is the predicted load of the to-be-optimized cell;

Calculating the number N of terminals to be switched according to the formula N=USNc - N _usn , _th r , where N _usn , _th r is a preset first threshold;

Obtaining a signal quality value of the to-be-optimized cell and a signal of each neighboring cell of the to-be-optimized cell that are received by each terminal in the overlapping area of the cell to be optimized and all the neighboring cells of the cell to be optimized Quality value

And calculating, by the respective terminals, a difference between a signal quality value of each neighboring cell of the to-be-optimized cell and a received signal quality value of the to-be-optimized cell;

According to the order of the difference from large to small, N terminals are selected as the terminals to be switched.

The method according to any one of claims 1 to 4, wherein the camping offset offset is acquired for any one of the to-be-optimized neighboring cells to be optimized, the cell pair The handover offset is a handover offset of the to-be-optimized cell with respect to any one of the to-be-optimized neighboring cells, and a set of handover offsets of any one of the to-be-optimized neighboring cells with respect to the to-be-optimized cell; The cell-to-switching offset is used to configure the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring areas, so that the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring areas is from the to-be-optimized neighboring area. Received signal quality is good And the KPI of the MRO to be optimized, and the KPI of the MRO of the to-be-optimized cell is lower than a preset second threshold, specifically:

For any neighboring zone to be optimized in the neighboring zone to be optimized, according to the formula M _d , _m > M _cm + CIO ' _c - CIO ' _d + Hys _c , and the formula N _dm > N _cm + CIO ' _c - CIO ' _d - Hys _d , obtain the cell offset;

Among them, M. _{And m} is a signal quality value received by the to-be-switched terminal corresponding to the to-be-optimized neighboring cell, and the _Mdm indicates that the to-be-switched terminal corresponding to the to-be-optimized neighboring cell is from the a signal quality value to be optimized neighbor received, CIO represents any one of the offset handover to be optimized with respect to neighboring cells to be optimized, CIO _'d represents any of said neighbor to be optimized with respect to The switching offset of the optimized cell is mentioned, Hys. Determining a lag parameter of the cell to be optimized;

Among them, N. And _m represents a signal quality value received by the at least one terminal of the to-be-switched terminal corresponding to the to-be-tuned terminal to be optimized from the to-be-optimized cell, where N _d , _m indicates that the at least one terminal is from the to-be-optimized neighbor The signal quality value received by the zone, Hys _d represents the hysteresis parameter of the neighboring zone to be optimized.

The method according to any one of claims 1-5, further comprising: after configuring the cell to handover offset to the to-be-switched terminal, further comprising:

Re-acquiring the KPI of the MRO and the MLB of the to-be-optimized cell, and calculating the optimized joint performance indicator of the to-be-optimized cell, if the optimized joint performance index of the to-be-optimized cell is lower than the joint performance indicator, The handover offset of the to-be-optimized cell relative to the to-be-optimized neighboring region is restored to an initial value.

The method according to any one of claims 1 to 6, wherein the signal quality value is a reference signal received power RSRP value.

8. A cell optimization apparatus, comprising:

a first acquiring module, configured to acquire a KPI of the mobility robust optimized MRO of each managed cell and a key performance indicator KPI of the mobility load balancing MLB; a calculation module, configured to calculate, according to a KPI of the MRO of each cell and a KPI of the MLB, a joint performance indicator of each cell;

a first selection module, configured to select a cell with the worst joint performance indicator as the cell to be optimized; a second selection module, configured to select a terminal to be switched from the terminal located in the handover area, where the presence of the to-be-switched terminal causes the The KPI of the MLB of the to-be-optimized cell is higher than a preset first threshold; the handover area includes an overlapping area of the to-be-optimized cell and each neighboring cell of the to-be-optimized cell;

The cell optimization apparatus according to claim 8, wherein the calculation module is specifically configured to: calculate, according to the formula Φ ^ + ^^Μ^- Κ^ + ^ ΚΡ^, for each of the cells The joint performance indicator of each cell, wherein, and the weights of the number of ping-pong handovers and the number of unsatisfactory users, respectively, MRO__ and MLB_KPI represent the KPI of the MRO of each cell and the KPI of the MLB, respectively.

The cell optimization apparatus according to claim 8 or 9, wherein the MRO includes: a number of ping-pong switchings or a handover failure rate; and the MLB includes: The number of users is USN.

The cell optimization apparatus according to claim 10, wherein the second selection module specifically includes:

a first acquiring unit, configured to acquire a predicted load of the to-be-optimized cell;

a first calculating unit, configured to calculate, according to the formula USNc = ma _X ((l-)Mc, 0), the number of unsatisfied users US under the predicted load of the to-be-optimized cell, where M. For the number of active users of the to-be-optimized cell, A is a predicted load of the to-be-optimized cell;

a second calculating unit, configured to calculate, according to the formula N=USNc - N _usn , _thf , the number N of terminals to be switched, where N _usn , _th r is a preset first threshold;

a second acquiring unit, configured to obtain a signal quality value of the to-be-optimized cell received by each terminal in an overlapping area of the to-be-optimized cell and all neighboring cells of the to-be-optimized cell, and corresponding to the to-be-optimized Signal quality values of each neighborhood of the cell;

a third calculating unit, configured to calculate a difference between a signal quality value of each neighboring cell of the corresponding to-be-optimized cell received by each terminal and a received signal quality value of the to-be-optimized cell; For selecting the N terminals as the to-be-switched terminal in the order of the difference from large to small.

The cell optimization apparatus according to any one of claims 8 to 11, wherein the cell optimization apparatus further includes: a feedback module, configured to configure, at the After the handover terminal is referred to, the KPI of the MRO and the MLB of the to-be-optimized cell are re-acquired, and the optimized joint performance indicator of the to-be-optimized cell is calculated, if the optimized joint performance index of the to-be-optimized cell is lower than the The joint performance indicator restores the handover offset of the to-be-optimized cell to the initial value.

A communication system, comprising: a network controller and at least one base station; the base station is configured to: calculate a mobility performance optimization MRO of the local cell and a key performance indicator KPI of the mobility load balancing MLB; The network controller is configured to acquire a key performance indicator KPI of the mobility robust optimized MRO and the mobility load balancing MLB of each managed cell; and calculate, according to the KPI of each cell and the KPI of the MLB, the calculated The joint performance index is selected as the cell with the worst joint performance indicator as the cell to be optimized; the terminal to be switched is selected from the terminal located in the handover area, and the presence of the terminal to be switched is such that the KPI of the MLB to be optimized is higher than the pre- The first threshold is set; the handover area includes an overlap area of each of the neighboring areas of the to-be-optimized cell and the to-be-optimized cell; and the neighboring area corresponding to the overlapping area where the handover to-be-switched terminal is located is regarded as Optimizing a neighboring cell; obtaining, for the to-be-optimized neighboring cell in the to-be-optimized neighboring cell, a cell-to-switching offset, where the cell-to-switching offset is the to-be-optimized cell to be optimized with respect to any one of the cells to be optimized a handover offset of the neighboring cell, and a set of handover offsets of the any neighboring cell to be optimized relative to the to-be-optimized cell; the cell-to-handover offset amount is used for configuration a to-be-switched terminal corresponding to the to-be-optimized neighboring cell, so that the signal quality of the to-be-switched terminal corresponding to the to-be-optimized neighboring cell is better than that received from the to-be-optimized cell. And the KPI of the MRO of the to-be-optimized cell is lower than a preset second threshold; and the cell-to-switching offset is configured to the to-be-switched terminal corresponding to any one of the to-be-optimized neighboring cells.

The system according to claim 13, wherein the network controller is further configured to re-acquire the to-be-optimized after configuring the cell-to-switching offset to the to-be-switched terminal. a KPI of the cell and a KPI of the MLB, and calculating an optimized joint performance indicator of the to-be-optimized cell. If the optimized joint performance index of the to-be-optimized cell is lower than the joint performance indicator, the cell to be optimized is used. The switching offset relative to the to-be-optimized neighboring region is restored to an initial value.

The system of claim 13, wherein the KPI of the MRO comprises: a number of ping-pong switching HPP or a handover failure rate; and the KPI of the MLB comprises: an unsatisfactory number of users USN.