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Exponential type load estimation method and device in LTE system

A load and basic load technology, applied in wireless communication, network traffic/resource management, electrical components, etc., can solve the problems of unloadable evaluation, which is not conducive to achieving load balance, etc., to improve user experience, enhance functions, reduce The effect of a small number of users

Inactive Publication Date: 2011-02-09
深圳市恒程汇文化科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, for variable bandwidth systems, no matter what kind of PRB usage rate is meaningless for cells with different bandwidths; secondly, the resources occupied by NGBR (Non Guaranteed Bit Rate, non-guaranteed bit rate) services are flexible , the PRB usage rate of NGBR services is not linearly related to the system load, so it is meaningless to simply use a certain amount in the process of load balancing, and it is not conducive to achieving the purpose of load balancing
Therefore, in the process of load balancing, directly using the total PRB usage rate of the cell or the PRB usage rate of the non-guaranteed bit rate NGBR service to measure the load of the cell cannot be used as an effective load evaluation quantity in the load balancing process.

Method used

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  • Exponential type load estimation method and device in LTE system
  • Exponential type load estimation method and device in LTE system
  • Exponential type load estimation method and device in LTE system

Examples

Experimental program
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Effect test

no. 1 example

[0072] (11) Assuming that the total bandwidth usage rates of the three cells that can be load balanced are the same, but the bandwidths are different, the basic load information and corresponding bandwidth information of the three cells are as follows:

[0073] ■Current cell (cell A): The bandwidth is 3MHz, that is, 15 PRBs. GBR services occupy 20% of PRBs, NGBR services occupy 60% of PRBs, and the total PRBs are used 98%;

[0074] ■ Candidate cell (cell B): the bandwidth is 5MHz, that is, 25 PRBs, of which GBR services occupy 60% of PRBs, NGBR services occupy 20% of PRBs, and the total PRBs are used 98%;

[0075] ■ Candidate cell (cell C): The bandwidth is 10MHz, that is, 50 PRBs, of which GBR services occupy 60% of PRBs, NGBR services occupy 20% of PRBs, and the total PRBs are used 98%;

[0076] (12) This cell A obtains the protocol standardized interface information of candidate cell B and candidate cell C through the interface between the cells;

[0077] (13) According to the expone...

no. 2 example

[0092] (21) Assuming that the total bandwidths of the three cells that can perform load balancing are the same, and the bandwidth used by the non-guaranteed bit rate NGBR service is different, the basic load information and corresponding bandwidth information of the three cells are as follows:

[0093] ■Current cell (cell A): The bandwidth is 3MHz, that is, 15 PRBs, GBR services occupy 20% of PRBs, NGBR services occupy 40% of PRBs, and the total PRBs are used 80%;

[0094] ■ Candidate cell (cell B): the bandwidth is 3MHz, that is, 15 PRBs, of which GBR services occupy 40% of PRBs, NGBR services occupy 20% of PRBs, and the total PRBs are used 80%;

[0095] ■ Candidate cell (cell C): the bandwidth is 3MHz, that is, 15 PRBs, of which GBR services occupy 40% of PRBs, NGBR services occupy 30% of PRBs, and the total PRBs are used 80%;

[0096] (22) This cell A obtains the protocol standardized interface information of candidate cell B and candidate cell C through the interface between the ce...

no. 3 example

[0112] (31) Assuming that the total bandwidth of the three cells that can be load balanced is different, the bandwidth used by the guaranteed bit rate GBR service is the same, and the total bandwidth usage rate of the cell is also different. The basic load information and the corresponding bandwidth information of the three cells are as follows :

[0113] ■Current cell (cell A): The bandwidth is 3MHz, that is, 15 PRBs, GBR services occupy 50% of PRBs, NGBR services occupy 5% of PRBs, and the total PRBs are used 85%;

[0114] ■ Candidate cell (cell B): the bandwidth is 5MHz, that is, 25 PRBs, of which GBR services occupy 50% of PRBs, NGBR services occupy 10% of PRBs, and the total PRBs are used 90%;

[0115] ■ Candidate cell (cell C): Bandwidth is 10MHz, that is, 50 PRBs, of which GBR services occupy 50% of PRBs, NGBR services occupy 15% of PRBs, and the total PRBs are used 80%;

[0116] (32) This cell A obtains the protocol standardized interface information of candidate cell B and ca...

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Abstract

The invention discloses a load estimation method of a cell, a device thereof and a method for balancing after estimation. The cell load estimation method comprises the following steps: firstly, acquiring basic load information and corresponding bandwidth information of the cell and cells which have same coverage or inclusion relation with the cell, according to an exponential type estimation model, respectively determining load factors of the cell and the cells which have the coverage or inclusion relation with the cell; determining whether the cell executes the measure of reducing load by a load balancing module of the cell according to the load condition among all the cells; and after executing load balance, updating the load information of all the cells and transferring the informationon interfaces among the cells. The load estimation method utilizes the load information of cells with different bandwidths estimated by interface information comprehensively, leads the cells with different bandwidths to use the same load evaluation standard, breaks through the restriction when the bandwidth is used for evaluating the load of the cells and guarantees the fairness when the load condition is evaluated among the cells with different bandwidths.

Description

Technical field [0001] The invention relates to an exponential load estimation method and device in an LTE (Long Term Evolution) system. Background technique [0002] SON (Self-configuring and self-optimizing network) is the abbreviation of self-configuring and self-optimizing network. Specifically, the main task of self-configuring and self-optimizing is to configure and adjust a series of wireless parameters. It consists of two stages: one is the self-configuration stage, which refers to an automatic installation process during base station deployment, in order to obtain the basic parameters required for system operation; the other is the self-optimization stage, in this stage, According to the performance measurement report of the terminal and the base station, the parameters and performance of the network are automatically adjusted, so this stage is completed in the network work and operation stage, including optimization and adaptation. The main goal of introducing self-con...

Claims

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Application Information

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IPC IPC(8): H04W28/08H04W24/00H04W92/20
Inventor 董玥昕
Owner 深圳市恒程汇文化科技有限公司
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