A Mobile Load Balancing Method Based on Hierarchy Analysis in LTE System

Abstract

The present invention claims a mobile load balancing method based on hierarchical analysis for LTE system, which mainly includes two aspects: the selection of the optimal load transfer cell and the determination of the optimal cell independent offset (CIO) parameter. The present invention is made up of four modules: (1) community state detection module, mainly responsible for judging the load state of the community, if overloaded, then initiates load balancing; (2) user-cell matching pair generation module, mainly through hierarchical analysis (AHP) Algorithm to select the optimal transfer cell for the user; (3) load distribution module, mainly to pre-allocate the load of the overloaded part of the overloaded cell to each target cell before adjusting the parameter CIO. (4) Balance module, which mainly adjusts the independent bias CIO of the cell through a variable step size. When the target cell receives the allocated load, the best independent bias CIO of the cell is obtained.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a mobile load balancing method based on hierarchical analysis in an LTE (Long Term Evolution, long-term evolution) system. Background technique [0002] The 3GPP LTE system uses key technologies such as OFDM and MIMO to achieve higher data rates, throughput and spectral efficiency. However, with the increasing number of users and business data, some hotspot cells are heavily loaded, resulting in a high call drop rate and degrading user experience; while other adjacent idle cells are lightly loaded and resources cannot be fully utilized. Therefore, how to implement load balancing in the network is an increasingly urgent problem to be solved. The load balancing in the original GSM system mainly relies on observation to find base stations that have been overloaded for a long time, and adjust related parameters to achieve the goal of balancing. But this method of manua...

AI Technical Summary

Problems solved by technology

When they select the target cell, they generally only consider the load of the target cell or the single factor of the reference signal received power RSRP, and the cell selected in this way is likely to cause ping-pong handover or handover failure, because the target cell with a large RSRP or a light load, the channel conditions are not necessarily good

In addition, when adjusting the mobility parameters to achieve balance, only from the perspective of the overloaded cell, the load of the overloaded cell is reduced below the predefined threshold, and the unloading is completed, without considering the ability of each target cell to receive the load

In addition, there is no specific adjustment method for how to adjust the CIO

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