检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
机构地区:[1]College of Telecommunications & Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China [2]College of Information Science & Engineering, Henan University of Technology, Zhengzhou 450001, China [3]National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
出 处:《Journal of Electronics(China)》2011年第1期15-21,共7页电子科学学刊(英文版)
基 金:Supported by the National Natural Science Foundation of China(No. 60972041,No. 60572130);Open Research Foundation of National Mobile Communications Research Laboratory,Southeast University,Natural Science Fundamental Research Program of Jiangsu Universities(No. 08KJD510001);Ph.D.Program Foundation of Ministry of Education(No.200802930004);National Special Project (No.2009ZX03003-006);the Science Foundation of Henan University of Technology(No.09XGG010)
摘 要:An optimal linear precoding scheme based on Particle Swarm Optimization(PSO),which aims to maximize the system capacity of the cooperative transmission in the downlink channel,is proposed for a multicell multiuser single input single output system.With such a scheme,the optimal precoding vector could be easily searched for each user according to a simplified objective function.Simulation results show that the proposed scheme can obtain larger average spectrum efficiency and a better Bit Error Rate(BER) performance than Zero Forcing(ZF) and Minimum Mean Square Error(MMSE) algorithm.An optimal linear precoding scheme based on Particle Swarm Optimization (PSO), which aims to maximize the system capacity of the cooperative transmission in the downlink channel, is proposed for a multicell multiuser single input single output system. With such a scheme, the optimal precoding vector could be easily searched for each user according to a simplified objective function. Simulation results show that the proposed scheme can obtain larger average spectrum efficiency and a better Bit Error Rate (BER) performance than Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) algorithm.
关 键 词:Particle Swarm Optimization(PSO) Linear precoding Cooperative transmission
分 类 号:TN929.5[电子电信—通信与信息系统]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.195