LTE (Long Term Evolution) system interference coordination method

Abstract

The invention discloses an LTE system interference coordination method, comprising: step 1, dividing users into center users and boundary users according to a CQI channel quality indicator report fed back by every user in every cell, wherein the boundary users are divided into legal users and default users, the default users are divided into hidden default users and obvious default users, the obvious default users are divided into absolute default users and non-absolute default users; step 2, carrying out frequency resource preliminary distribution to grouped users on all usable frequency bands of every cell according to a traditional PF proportional fairness scheduling algorithm; step 3, classifying the boundary users with preliminarily distributed frequency resources, making up the boundary users of every cell to obtain a list A and a list B; and step 4, carrying out frequency resource secondary adjustment to the cells, and finishing frequency resource distribution after adjustment.

Description

technical field [0001] The invention belongs to the field of wireless communication, and more specifically relates to an interference coordination method for an LTE (Long Term Evolution, long term evolution) system. Background technique [0002] 3GPP (Third Generation Partnership Project, Third Generation Partnership Project) standard organization launched 3G (the3G) as early as the end of 2004 rd Generation, the third generation) LTE and SAE (System Architecture Evolution, system architecture evolution) two major research and standardization work plans. After years of intense and efficient work, the LTE standard has matured. LTE improves and enhances the air interface technology of 3G, and introduces new wireless communication technologies such as OFDM (Orthogonal Frequency Division Multiplexing, Orthogonal Frequency Division Multiplexing), MIMO (Multiple Input, Multiple Output), and all-IP (Internet Protocol, Internet Protocol) networking. , so that the transmission capa...

AI Technical Summary

Problems solved by technology

If cell 1 is assigned the frequency of the first subband, but if the edge users of cell 1 can obtain a higher SNR in subbands ranging from 4 to 15, then the edge users cannot obtain the optimal frequency resource on the allocated frequency resources. best system performance

At the same time, if a user in the center can obtain a higher signal-to-noise ratio on subbands 1 to 3, after allocating resources through the soft frequency multiplexing mechanism, a user in the center cannot obtain the best system performance.

Therefore, the system cannot obtain considerable multi-user diversity gain

[0014] Moreover, when the cell is heavily loaded by edge users, that is, when the traffic volume at the edge of the cell is large, the allocation of mutually orthogonal primary subcarriers to different cells will still increase the frequency reuse factor between cells, that is, the value of X Gradually increasing, the available frequency bands for central users are gradually decreasing, and the system spectrum utilization rate is severely reduced

[0015] From the above discussion, it can be known that under the soft frequency reuse mechanism, the multi-user diversity effect of the system is poor, and when the edge traffic is large, the spectrum utilization rate is low, and the system performance, especially the performance of the edge users, is not ideal

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