INTERFERENCE COORDINATION METHOD BASED ON GRAPH THEORY IN TWO-TIER CELLULAR NETWORKS  

作　　者：Shi Jurong Zhu Qi 

机构地区：[1]Jiangsu Key Lab of Wireless Communications, Key Lab on Wideband Wireless Communications and Sensor Network. Technology of Ministry of Education, Nanjing University of Posts and Telecommunications

出　　处：《Journal of Electronics(China)》2013年第1期66-74,共9页电子科学学刊（英文版）

基　　金：Supported by National Natural Science Foundation of China (61171094, 61071092);National Science & Technology Key Project (2011ZX03001-006-02, 2011ZX03005-004-03);Key Project of Jiangsu Provincial Natural Science Foundation (BK2011027)

摘　　要：This paper studies an interference coordination method by means of spectrum allocation in Long-Term Evolution (LTE) multi-cell scenario that comprises of macrocells and femtocells. The purpose is to maximize the total throughput of femtocells while ensuring the Signal-to-Interference plus Noise Ratio (SINR) of the edge macro mobile stations (mMSs) and the edge femtocell Mobile Stations (fMSs). A new spectrum allocation algorithm based on graph theory is proposed to reduce the interference. Firstly, the ratio of Resource Blocks (RBs) that mMSs occupy is obtained by genetic algorithm. Then, after considering the impact of the macro Base Stations (mBSs) and small scale fading to the fMS on different RBs, multi-interference graphs are established and the spectrum is allocated dynamically. The simulation results show that the proposed algorithm can meet the Quality of Service (QoS) requirements of the mMSs. It can strike a balance between the edge fMSs' throughput and the whole fMSs' throughput.This paper studies an interference coordination method by means of spectrum allocation in Long-Term Evolution （LTE） multi-cell scenario that comprises of macrocells and femtocells. The purpose is to maximize the total throughput of femtocells while ensuring the Signal-to-Interference plus Noise Ratio （SINR） of the edge macro mobile stations （mMSs） and the edge femtocell Mobile Stations （fMSs）. A new spectrum allocation algorithm based on graph theory is proposed to reduce the inter- ference. Firstly, the ratio of Resource Blocks （RBs） that mMSs occupy is obtained by genetic algorithm Then, after considering the impact of the macro Base Stations （mBSs） and small scale fading to the fMS on different RBs, multi-interference graphs are established and the spectrum is allocated dy- namically. The simulation results show that the proposed algorithm can meet the Quality of Service （QoS） requirements of the mMSs. It can strike a balance between the edge fMSs＇ throughput and the whole fMSs＇ throughput.

关 键 词：Long-Term Evolution （LTE） Graph theory Two-tier cellular network Interference coordination 

分 类 号：TN929.533[电子电信—通信与信息系统] TN929.53[电子电信—信息与通信工程]