CN110784894B - LTE system load balancing method and device - Google Patents

Abstract

The embodiment of the invention provides a method and a device for balancing loads of an LTE (Long term evolution) system. The method comprises the following steps: when the load of the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR of the current cell reported by the terminal; and carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal. According to the embodiment of the invention, the optimal balance based on user perception can be realized by carrying out differentiated load balance on the terminals of different user types.

Description

LTE system load balancing method and device

technical field

The embodiments of the present invention relate to the technical field of communications, and in particular, to a load balancing method and device for an LTE system.

Background technique

With the development of the LTE network, the LTE network is gradually becoming more complex, and the introduction of multi-layer networking and heterogeneous networking has brought some important technical challenges. For example, the unbalanced cell load caused by the change of the network structure makes some cells overloaded, even causing data congestion, while other cells are relatively idle and lightly loaded. Therefore, the problem of load balancing among multiple carriers is particularly important.

The existing load balancing method is usually based on the number of users or PRB utilization, and transfers some user equipments in the high-load cell to the low-load cell to reduce the load of the high-load cell, thereby balancing the traffic distribution among the cells.

However, users in different locations have different impacts on the perceived network load. Simple load balancing based on the number of users or PRB utilization cannot achieve the optimal balance perceived by various users. Therefore, how to achieve the optimal load balancing for different users has become a Problems to be solved.

Contents of the invention

Aiming at the problems in the prior art, the embodiments of the present invention provide a load balancing method and device for an LTE system.

On the one hand, the embodiment of the present invention provides a kind of LTE system load balancing method, and described method comprises:

When the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR reported by the terminal under the current cell;

Perform load balancing based on rate priority, coverage priority, or number of users in a cell according to the user type of the terminal.

On the other hand, an embodiment of the present invention provides an LTE system load balancing device, the device comprising:

A judging unit, configured to judge the user type of the terminal according to the RSRP and SINR reported by the terminal under the current cell when the current cell is overloaded;

A processing unit, configured to perform load balancing based on rate priority, coverage priority, or number of users in a cell according to the user type of the terminal.

On the other hand, an embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the program, the above-mentioned LTE system is implemented. The steps of the load balancing method.

On the other hand, an embodiment of the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps of the above method for load balancing in an LTE system are implemented.

In the embodiment of the present invention, by performing differentiated load balancing on terminals of different user types, optimal balancing based on user perception can be realized.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work.

Fig. 1 is a schematic flow chart of an LTE system load balancing method provided by an embodiment of the present invention;

FIG. 2 is a schematic flowchart of a method for obtaining load information of a target cell provided by an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of an LTE system load balancing device provided by an embodiment of the present invention;

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

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

FIG. 1 shows a schematic flowchart of a load balancing method for an LTE system provided by an embodiment of the present invention.

As shown in Figure 1, the LTE system load balancing method provided by the embodiment of the present invention specifically includes the following steps:

S11. When the current cell is overloaded, judge the user type of the terminal according to the RSRP and SINR reported by the terminal under the current cell;

Specifically, when the LTE network load (PRB utilization rate, transmission resource load, hardware resource load, cell capacity) is overloaded, according to the RSRP (Reference Signal Receiving Power, reference signal received power) and SINR (Signal to Interference plus Noise Ratio (Signal to Interference Plus Noise Ratio) performance index to determine the user type.

S12. Perform load balancing based on rate priority, coverage priority, or cell user number according to the user type of the terminal.

Specifically, different users perceive network overload indicators to be different. For example, the user located at the center of the cell perceives the network overload as the rate, and the user located at the edge of the cell perceives the network overload as whether the cell is covered or not. Therefore, for different user perception Performing different load balancing can balance the network load more reasonably.

In the embodiment of the present invention, by performing differentiated load balancing on terminals of different user types, optimal balancing based on user perception can be realized.

Specifically, the user types include central users, edge users and common users.

On the basis of the foregoing embodiments, S11 specifically includes:

When the RSRP reported by the terminal satisfies the first value range and the SINR satisfies the second value range, the user type of the terminal is a central user;

When the RSRP reported by the terminal satisfies the third value range, and the SINR satisfies the fourth value range, the user type of the terminal is an ordinary user;

When the RSRP reported by the terminal satisfies the fifth value range and the SINR satisfies the sixth value range, the user type of the terminal is an edge user.

In the embodiment of the present invention, users in a cell are divided into three user types according to user locations: central users, edge users, and ordinary users, and differentiated judgment thresholds are formulated according to the RSRP and SINR parameters of the cell reported by the terminal to identify users who have accessed The type of terminal.

Specifically, the differentiated user identification decision threshold is as follows:

Judgment threshold one: RSRP>=-95dBm, SINR>=12;

Judgment threshold two: RSRP=[-105,-95)dBm, SINR=[4,12);

Judgment threshold three: RSRP[-115,-105)dBm, SINR<4.

The terminal collects and reports the RSRP and SINR of the cell where it is located. The base station eNodeB judges the type of UE that has been connected according to the differentiated user identification judgment threshold. Among them, the terminal that meets the threshold 1 judges that the user type is a central user, and the terminal that meets the threshold 2 judges the user The type is an ordinary user, and a terminal meeting the threshold three judges that the user type is a marginal user.

On the basis of the foregoing embodiments, S12 specifically includes:

When the user type of the terminal is a central user, load balancing based on rate priority is performed;

When the user type of the terminal is an edge user, perform load balancing based on coverage priority;

When the user type of the terminal is an ordinary user, load balancing based on the number of users in the cell is performed.

The embodiment of the present invention performs load balancing based on rate priority for central users, load balancing based on coverage priority for edge users, and load balancing based on the number of users in a cell for ordinary users, and can target different overloads according to users in different locations. Perception to carry out corresponding load transfer, so as to achieve optimal load balancing.

Specifically, when the user type of the terminal is a central user, performing load balancing based on rate priority includes:

Obtaining load information of the target cell, where the load information includes RSRP and PRB information;

Predicting the full load rate of the terminal under the target cell according to the load information of the current cell and the load information of the target cell;

When the full load rate of the terminal in the target cell is greater than the full load rate of the terminal in the current cell, the terminal is transferred to the target cell.

In the embodiment of the present invention, when the source side base station is under high load, the load situation of the target cell is exchanged through the X2 interface, and the available PRB (Physical Resource Block, physical resource block) information of the target cell is obtained; the coverage situation under the target cell reported by the terminal, Based on the fitting curve of the relationship between RSRP and MCS (Modulation and Coding Scheme) of the user in the local cell (that is, the source cell), predict the MCS situation of the user in the target cell, and then judge the possible probability of the user in the target cell Sensing rate, compare the sensing rate, and choose to balance the users to the optimal cell.

FIG. 2 shows a schematic flow diagram of the source cell and the target cell obtaining load information of the target cell through the X2 interface proposed by the embodiment of the present invention.

Referring to Fig. 2, the steps of obtaining the load information of the target cell proposed by the embodiment of the present invention include:

When the source side base station is heavily loaded, the source side base station sends a Resource Status Request (resource status request message) to the target base station to obtain the load information of the target cell (the load information includes information such as MCS, RSRP, and PRB cycle);

After receiving the resource status request message, the target base station replies Resource Status Response (resource status response message) to the source side base station to indicate response to the load interaction request;

The target base station periodically reports cell load information and user type identification information, including the cell's MCS, RSRP, and PRB cycle, by sending a Resource Status Update (resource status update message);

When the load of the base station on the source side is low, send a Resource Status Request to stop the interaction of load information.

Among them, the target base station sends the Resource Status Update (resource status update message) including the MCS, RSRP and PRB Periodic (PRB period) of the cell after the terminal transfers to the target cell, as well as the user type of the terminal in the target cell, so that the subsequent network load When the balance changes, a new load balance is performed based on the above parameters.

Specifically, the predicting the full load rate of the terminal under the target cell according to the load information of the current cell and the load information of the target cell includes:

Predict the MCS of the terminal in the target cell according to the relationship between the RSRP and the MCS of the terminal in the current cell and the RSRP of the target cell;

Predict the full load rate of the terminal in the target cell according to the MCS of the terminal in the target cell and the PRB information of the target cell.

The embodiment of the present invention can fit the relationship between PRSP and MCS of the terminal user based on the performance of the terminal in the local cell, and the wireless environment of the same user is basically similar, then the PRSP and MCS of the user in other surrounding load balancing target cells The relationship is also basically the same. Based on the RSPR reported by the user to other cells in this cell, the MCS value of the user in other cells can be predicted.

After obtaining the number of available PRBs of the target cell and predicting the MCS of the user, the fully loaded TBS (Transport Block Size) of the target cell can be obtained, and then the full load rate of the target cell can be predicted based on the correspondence between MCS and PRB.

Specifically, when the user type of the terminal is an edge user, performing load balancing based on coverage priority includes:

Calculate the load balancing weight threshold of the terminal according to the difference between the RSRP of the terminal under the current cell and the target cell, the difference between the PRB utilization rates of the current cell and the target cell, and the difference between the number of users of the current cell and the target cell;

When the load balancing weight threshold is greater than the preset threshold, the terminal is transferred to the target cell.

In the load balancing method based on coverage priority provided by the embodiment of the present invention, by comparing the RSRP difference between the source cell and the target cell, as well as the number of users and the PRB difference between the source cell and the target cell, according to a certain set weight, the weighted comparison , change the traditional load balancing based solely on network load indicators such as the number of users or PRB, reduce the risk of users going offline, and ensure user awareness.

Specifically, the load balancing weight threshold of the computing terminal includes:

The calculation formula of the load balancing weight threshold is:

K1*(RSRP1-RSRP2)+K2*(U1-U2)+K3*(PRB1-PRB2)

Among them, K1 is the RSRP weight coefficient, RSRP1 is the reference signal received power measured by the current cell, and RSRP2 is the reference signal received power measured by the target cell;

K2 is the weight coefficient of the number of users in the cell, U1 is the number of users in the current cell, and U2 is the number of users in the target cell;

K3 is the PRB weight coefficient, PRB1 is the PRB utilization rate of the current cell, and PRB2 is the PRB utilization rate of the target cell.

In the embodiment of the present invention, by setting the edge user load balancing weight threshold, when the actual calculated weight value is greater than the edge user load balancing weight threshold, the edge user occupies the target cell; when the actual calculated weight value is smaller than the edge user load balancing weight threshold, the edge user Occupy the source cell.

The embodiment of the present invention also provides an LTE system load balancing device.

FIG. 3 shows a schematic structural diagram of an LTE system load balancing device provided by an embodiment of the present invention.

As shown in Figure 3, the LTE system load balancing device provided by the embodiment of the present invention includes a judging unit 11 and a processing unit 12, wherein:

The judging unit 11 is configured to judge the user type of the terminal according to the RSRP and SINR reported by the terminal under the current cell when the load of the current cell is overloaded;

The processing unit 12 is configured to perform load balancing based on rate priority, coverage priority or number of users in a cell according to the user type of the terminal.

In the embodiment of the present invention, by performing differentiated load balancing on terminals of different user types, optimal balancing based on user perception can be realized.

Specifically, the user types include central users, edge users and ordinary users;

On the basis of the above embodiments, the judging unit 11 is configured to, when the RSRP reported by the terminal satisfies a first value range and the SINR satisfies a second value range, the user type of the terminal is a central user;

When the RSRP reported by the terminal satisfies the third value range, and the SINR satisfies the fourth value range, the user type of the terminal is an ordinary user;

When the RSRP reported by the terminal satisfies the fifth value range and the SINR satisfies the sixth value range, the user type of the terminal is an edge user.

On the basis of the foregoing embodiments, the processing unit 12 includes:

The first processing module is used to perform load balancing based on rate priority when the user type of the terminal is a central user;

The second processing module is configured to perform load balancing based on coverage priority when the user type of the terminal is an edge user;

The third processing module is configured to perform load balancing based on the number of users in the cell when the user type of the terminal is an ordinary user.

Specifically, the first processing module includes:

An acquisition submodule, configured to acquire load information of a target cell, where the load information includes RSRP and PRB information;

The prediction submodule is used to predict the full load rate of the terminal under the target cell according to the load information of the current cell and the load information of the target cell;

The first transfer submodule is configured to transfer the terminal to the target cell when the full load rate of the terminal in the target cell is greater than the full load rate of the terminal in the current cell.

Specifically, the prediction submodule is used to predict the MCS of the terminal in the target cell according to the relationship between the RSRP and the MCS of the terminal in the current cell and the RSRP of the target cell; The information predicts the full load rate of the terminal in the target cell.

Specifically, the second processing module includes:

The calculation sub-module is used to calculate the load balance of the terminal according to the difference between the RSRP of the terminal under the current cell and the target cell, the difference between the PRB utilization of the current cell and the target cell, and the difference between the number of users of the current cell and the target cell weight threshold;

The second transfer submodule is configured to transfer the terminal to the target cell when the load balancing weight threshold is greater than a preset threshold.

Specifically, the calculation formula of the load balancing weight threshold is:

K1*(RSRP1-RSRP2)+K2*(U1-U2)+K3*(PRB1-PRB2)

Among them, K1 is the RSRP weight coefficient, RSRP1 is the reference signal received power measured by the current cell, and RSRP2 is the reference signal received power measured by the target cell;

K2 is the weight coefficient of the number of users in the cell, U1 is the number of users in the current cell, and U2 is the number of users in the target cell;

K3 is the PRB weight coefficient, PRB1 is the PRB utilization rate of the current cell, and PRB2 is the PRB utilization rate of the target cell.

The functional modules in the embodiments of the present invention can be realized by a hardware processor (hardware processor), and the embodiments of the present invention will not repeat them.

The device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without any creative effort.

An embodiment of the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor implements the method as shown in FIG. 1 when executing the program.

Fig. 4 shows a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

As shown in FIG. 4 , the electronic device provided by the embodiment of the present invention includes a memory 21 , a processor 22 , a bus 23 and a computer program stored in the memory 21 and operable on the processor 22 . Wherein, the memory 21 and the processor 22 communicate with each other through the bus 23 .

The processor 22 is configured to call the program instructions in the memory 21, so as to implement the method as shown in FIG. 1 when executing the program.

For example, when the processor executes the program, the following methods are implemented:

When the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR reported by the terminal under the current cell;

Perform load balancing based on rate priority, coverage priority, or number of users in a cell according to the user type of the terminal.

The electronic device provided by the embodiments of the present invention can realize optimal balance based on user perception by performing differentiated load balancing on terminals of different user types.

An embodiment of the present invention also provides a non-transitory computer-readable storage medium, where a computer program is stored on the storage medium, and when the program is executed by a processor, the steps shown in FIG. 1 are implemented.

For example, when the processor executes the program, the following methods are implemented:

When the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR reported by the terminal under the current cell;

Perform load balancing based on rate priority, coverage priority, or number of users in a cell according to the user type of the terminal.

The non-transitory computer-readable storage medium provided by the embodiments of the present invention can realize optimal balance based on user perception by performing differentiated load balancing on terminals of different user types.

An embodiment of the present invention discloses a computer program product, the computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a computer , the computer can execute the methods provided by the above method embodiments, for example including:

When the load of the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR reported by the terminal under the current cell;

Perform load balancing based on rate priority, coverage priority, or number of users in a cell according to the user type of the terminal.

Those skilled in the art will appreciate that although some of the embodiments described herein include some features and not others that are included in other embodiments, combinations of features from different embodiments are meant to be within the scope of the invention. And form different embodiments.

Through the above description of the implementations, those skilled in the art can clearly understand that each implementation can be implemented by means of software plus a necessary general-purpose hardware platform, and of course also by hardware. Based on this understanding, the essence of the above technical solution or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic discs, optical discs, etc., including several instructions to make a computer device (which may be a personal computer, server, or network device, etc.) execute the methods described in various embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still be Modifications are made to the technical solutions described in the foregoing embodiments, or equivalent replacements are made to some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims (8)

1. An LTE system load balancing method, the method comprising:

when the load of the current cell is overloaded, judging the user type of the terminal according to the RSRP and SINR of the current cell reported by the terminal;

carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal;

the user types comprise a central user, an edge user and a common user;

the judging the user type of the terminal according to the RSRP and the SINR reported by the terminal comprises:

when the RSRP reported by the terminal meets a first value range and the SINR meets a second value range, the user type of the terminal is a central user;

when the RSRP reported by the terminal meets a third value range and the SINR meets a fourth value range, the user type of the terminal is a common user;

when the RSRP reported by the terminal meets a fifth value range and the SINR meets a sixth value range, the user type of the terminal is an edge user;

the performing, according to the user type, load balancing based on rate prioritization, coverage prioritization or cell user number includes:

when the user type of the terminal is a central user, carrying out load balancing based on rate priority;

when the user type of the terminal is an edge user, carrying out load balancing based on coverage area priority;

and when the user type of the terminal is a common user, carrying out load balancing based on the number of the cell users.

2. The method of claim 1, wherein performing rate-first based load balancing when the user type of the terminal is a center user comprises:

acquiring load information of a target cell;

predicting the full load rate of the terminal under the target cell according to the load information of the current cell and the load information of the target cell;

and when the full load rate of the terminal in the target cell is greater than the full load rate of the terminal in the current cell, transferring the terminal to the target cell.

3. The method of claim 2, wherein the predicting the full loading rate of the terminal in the target cell according to the load information of the current cell and the load information of the target cell comprises:

predicting the MCS of the terminal in the target cell according to the relation between the RSRP and the MCS of the terminal in the current cell and the RSRP of the target cell;

and predicting the full load rate of the terminal in the target cell according to the MCS of the terminal in the target cell and the PRB information of the target cell.

4. The method of claim 1, wherein performing coverage-first based load balancing when the user type of the terminal is an edge user comprises:

calculating a load balancing weight threshold of the terminal according to the difference value of the RSRP of the terminal in the current cell and the target cell, the difference value of the PRB utilization rate of the current cell and the target cell and the difference value of the user number of the current cell and the target cell;

and when the load balancing weight threshold is greater than a preset threshold, transferring the terminal to a target cell.

5. The method of claim 4, wherein the calculating the load balancing weight threshold for the terminal comprises:

the calculation formula of the load balancing weight threshold is as follows:

K1*(RSRP1-RSRP2)+K2*(U1-U2)+K3*(PRB1-PRB2)

wherein, K1 is an RSRP weight coefficient, RSRP1 is the reference signal received power measured by the current cell, and RSRP2 is the reference signal received power measured by the target cell;

k2 is a cell user number weight coefficient, U1 is the current cell user number, and U2 is the target cell user number;

k3 is PRB weight coefficient, and PRB1 is current district PRB utilization ratio, and PRB2 is target district PRB utilization ratio.

6. An LTE system load balancing apparatus, the apparatus comprising:

the judging unit is used for judging the user type of the terminal according to the RSRP and SINR under the current cell reported by the terminal when the load of the current cell is overloaded;

the processing unit is used for carrying out load balancing based on rate priority, coverage priority or cell user number according to the user type of the terminal;

the user types comprise a central user, an edge user and a common user;

the judging unit is specifically configured to determine that the user type of the terminal is a central user when the RSRP reported by the terminal meets a first value range and the SINR meets a second value range; when the RSRP reported by the terminal meets a third value range and the SINR meets a fourth value range, the user type of the terminal is a common user; when the RSRP reported by the terminal meets a fifth value range and the SINR meets a sixth value range, the user type of the terminal is an edge user;

the processing unit is specifically configured to perform load balancing based on rate priority when the user type of the terminal is a central user; when the user type of the terminal is an edge user, carrying out load balancing based on coverage area priority; and when the user type of the terminal is a common user, carrying out load balancing based on the number of the cell users.

7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program implements the steps of the LTE system load balancing method according to any of claims 1 to 5.

8. A non-transitory computer readable storage medium, having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the LTE system load balancing method according to any of claims 1 to 5.

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