Method for reducing long term evolution (LTE) radio communication system cell interference by using cognitive technology

Abstract

The invention provides a method for reducing long term evolution (LTE) radio communication system cell interference by using a cognitive technology. The method comprises the following steps of: 1, setting a threshold value for dividing users in the cell into centre users and edge users; 2, configuring frequency resources for the users in the cell of the base station according to the preset initial frequency resource allocation rule by each base station; 3, judging the type of user equipment (UE) of the service which the newly added cell prepares for initiating according to a threshold value; 4, according to a judged result in 3, allocating frequency resources for the newly added UE according to a second preset frequency resource allocation rule by each base station; or allowing the newly added UE to independently select a usable spectrum for communication by using the cognitive technology; and 5, allocating power resources for the cell according to the UE type configured to each frequency resource. The technical scheme provided by the invention enables the frequency resources used in each cell to realize distribution according to needs and to dynamically change along with the change of the cell load. The cell resource is fully utilized, the interference coordination is effectively realized, and the spectrum utilization rate is improved.

Description

technical field [0001] The invention relates to the technical field of interference coordination of cellular wireless communication, in particular to a method for reducing interference between cells of an LTE wireless communication system by using cognitive technology. Background technique [0002] LTE-Advanced is an evolution version of LTE (Long Term Evolution, Long Term Evolution), and its purpose is to meet higher demands and more applications in the wireless communication market in the next few years. The mobile communication network is a network that changes dynamically in real time. With the development of future networks, the introduction of personal equipment such as micro base stations, pico base stations, indoor coverage, relay stations, and home base stations has brought certain challenges to LTE-Advanced related work. challenge. Load distribution between cells in the system, frequency resource allocation, power resource allocation, interference between systems,...

AI Technical Summary

Problems solved by technology

However, the existing interference coordination technology only considers the application scenario where the load of each cell is exactly the same, that is, the synchronous change of each cell

In fact, the service distribution and changes of each cell are independent, and the existing semi-static interference coordination method also takes this into account, such as reserving variable resources to meet the different service loads of each cell, but This method still restricts and reserves resources, which will reduce the efficiency of spectrum use

In addition, in the existing inter-cell interference coordination technology, although the interference is reduced to a certain extent by allocating orthogonal resources to users at the edge of adjacent cells, in fact, the adjacent users of these cells are not necessarily actually adjacent, which seriously affects Interference Coordination Efficiency

Especially when the service loads in the center area and the edge area of ​​the cell are both heavy, the performance of the users at the edge of the cell is still poor; when the service distribution in the center area of ​​the cell is equal to that in the edge area, the frequency utilization efficiency is low

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