中文摘要：

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.

英文摘要：

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 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.