首页 | 本学科首页   官方微博 | 高级检索  
     

部分反馈信息下多用户多输入多输出下行链路的容量优化
引用本文:曾二林,朱世华,廖学文. 部分反馈信息下多用户多输入多输出下行链路的容量优化[J]. 西安交通大学学报, 2006, 40(4): 445-448
作者姓名:曾二林  朱世华  廖学文
作者单位:西安交通大学电子与信息工程学院,710049,西安
基金项目:中国科学院资助项目;国家科技攻关项目;高等学校博士学科点专项科研项目
摘    要:针对多用户多输入多输出下行链路中,基于部分信道状态信息反馈的联合发送方法不能有效抑制多用户间相互干扰的问题,提出了一种支持各用户信号独立检测的多用户联合发送方案.该方案只需要各用户信道响应矩阵的主右奇异向量作为反馈信息,在计算预处理矩阵时引入正变化操作,与已有方案相比,在增加少量前馈信息的条件下,可以最小化多用户问相互干扰,提升系统容量.仿真结果表明,所提出的方案能够提高检测信干噪比,降低系统的平均误码率,在发送、接收天线数为4、平均发送信噪比为20dB时,系统容量比无正交化时提高了1倍以上.

关 键 词:多输入多输出  多用户  下行链路  部分反馈信息  检测算法
文章编号:0253-987X(2006)04-0445-04
收稿时间:2005-06-24
修稿时间:2005-06-24

Capacity Optimization in Multiuser Multiple Input Multiple Output Downlink with Partial Feedback Information
Zeng Erlin,Zhu Shihua,Liao Xuewen. Capacity Optimization in Multiuser Multiple Input Multiple Output Downlink with Partial Feedback Information[J]. Journal of Xi'an Jiaotong University, 2006, 40(4): 445-448
Authors:Zeng Erlin  Zhu Shihua  Liao Xuewen
Abstract:Focusing on the problem that joint transmission based on partial feedback channel state information cannot effectively cancel the interuser interference in multiuser multiple input multiple output downlink systems,a joint transmission scheme that allows independent signal detection for each user was proposed.This scheme requires only the principal right singular vector of each user's channel response matrix regarded as feedback information.By introducing orthogonalization in the computation of the pre-processing matrix,with little increasing of feedforward information,this scheme can minimize interuser interference and improve the system capacity compared with the existing scheme.Simulation results show that the proposed scheme can increase the detection signal-to-interference-noise ratio,and therefore reduce the bit error rate.At 20 dB average signal-to-noise ratio and with 4 transmitting and 4 receiving antennas,the system capacity increases double as large as that of non-orthogonalization.
Keywords:multiple input multiple output   multiuser   downlink   partial feedback information   detection algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号