Enhanced PSO Based Energy-Efficient Resource Allocation and CQI Based MCS Selection in LTE-A Heterogeneous System  

作　　者：Jianbo Du Liqiang Zhao Jie Feng Jie Xin Yong Wang 

机构地区：[1]State Key Laboratory of Integrated Service Networks,Xidian University

出　　处：《China Communications》2016年第11期197-204,共8页中国通信（英文版）

基　　金：supported in part by National Natural Science Foundation of China (No.61372070);Natural Science Basic Research Plan in Shaanxi Province of China (2015JM6324);Ningbo Natural Science Foundation (2015A610117);Hong Kong,Macao and Taiwan Science & Technology Cooperation Program of China (2015DFT10160);the 111 Project (B08038)

摘　　要：In order to maximize system energy efficiency(EE) under user quality of service(Qo S) restraints in Long Term Evolution-Advanced(LTE-A) networks,a constrained joint resource optimization allocation scheme is presented,which is NP-hard. Hence,we divide it into three sub-problems to reduce computation complexity,i.e.,the resource block(RB) allocation,the power distribution,and the modulation and coding scheme(MCS) assignment for user codewords. Then an enhanced heuristic approach GAPSO is proposed and is adopted in the RB and power allocation respectively to reduce computational complexity further on. Moreover,a novel MCS allocation scheme is put forward,which could make a good balance between the system reliability and availability under different channel conditions. Simulation results show that the proposed GAPSO could achieve better performance in convergence speed and global optimum searching,and that the joint resource allocation scheme could improve energy efficiency effectively under user Qo S requirements.In order to maximize system energy efficiency（EE） under user quality of service（Qo S） restraints in Long Term Evolution-Advanced（LTE-A） networks,a constrained joint resource optimization allocation scheme is presented,which is NP-hard. Hence,we divide it into three sub-problems to reduce computation complexity,i.e.,the resource block（RB） allocation,the power distribution,and the modulation and coding scheme（MCS） assignment for user codewords. Then an enhanced heuristic approach GAPSO is proposed and is adopted in the RB and power allocation respectively to reduce computational complexity further on. Moreover,a novel MCS allocation scheme is put forward,which could make a good balance between the system reliability and availability under different channel conditions. Simulation results show that the proposed GAPSO could achieve better performance in convergence speed and global optimum searching,and that the joint resource allocation scheme could improve energy efficiency effectively under user Qo S requirements.

关 键 词：LTE-A radio resource allocation MCSs assignment energy efficiency particle swarm optimization 

分 类 号：TN929.5[电子电信—通信与信息系统]