Multi-user selection based on particle swarm optimization and power control scheme in the uplink CoMP-MU-MIMO system  被引量:1

Multi-user selection based on particle swarm optimization and power control scheme in the uplink CoMP-MU-MIMO system

在线阅读下载全文

作  者:LIU Jian LI Xi JI Hong ZHANG Xiao-liang 

机构地区:[1]School of Telecommunication Engineering, Beijing University of Posts and Telecommunications

出  处:《The Journal of China Universities of Posts and Telecommunications》2013年第5期79-84,共6页中国邮电高校学报(英文版)

基  金:supported by the National Science and Technology Major Project (2011ZX03001-007-03);the National Natural Science Foundation of China (61271182);the Fundamental Research Funds for the Central Universities (2013RC0112)

摘  要:Orthogonal frequency division multiplexing (OFDM) which has been adopted in the long-term evolution (LTE) system can improve the system capacity obviously. However, it also brings about severe inter-cell interference (ICI) for cell-edge users (CEUs). To tackle this problem, multi-user selection and power control (MuS-PC) is proposed as an efficient scheme in uplink coordinated multi-point multi-user multi-input multi-output (CoMP-MU-MIMO) transmission/reception. This paper jointly considers user's signal to interference plus noise ratio (S1NR) and proportional fairness (PF) to maximize the total channel capacity in multi-user selection by formulating a penalty function. To simplify the penalty function's computation, particle swarm optimization (PSO) algorithm is introduced. In addition, power control is adopted to maximize overall energy efficiency. Simulation results demonstrate that the MuS-PC scheme can not only obtain the optimal total channel capacity while guarantee each user's quality of service (QoS) and PF, but also largely reduce computational complexity and improve energy efficiency. As a result, the poor communication quality of CEUs can be enhanced.Orthogonal frequency division multiplexing (OFDM) which has been adopted in the long-term evolution (LTE) system can improve the system capacity obviously. However, it also brings about severe inter-cell interference (ICI) for cell-edge users (CEUs). To tackle this problem, multi-user selection and power control (MuS-PC) is proposed as an efficient scheme in uplink coordinated multi-point multi-user multi-input multi-output (CoMP-MU-MIMO) transmission/reception. This paper jointly considers user's signal to interference plus noise ratio (S1NR) and proportional fairness (PF) to maximize the total channel capacity in multi-user selection by formulating a penalty function. To simplify the penalty function's computation, particle swarm optimization (PSO) algorithm is introduced. In addition, power control is adopted to maximize overall energy efficiency. Simulation results demonstrate that the MuS-PC scheme can not only obtain the optimal total channel capacity while guarantee each user's quality of service (QoS) and PF, but also largely reduce computational complexity and improve energy efficiency. As a result, the poor communication quality of CEUs can be enhanced.

关 键 词:CoMP-MU-MIMO system PSO algorithm penalty ftmction multi-user selection power control zero forcing (ZF) equalization 

分 类 号:TN919.3[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象