中国邮电高校学报(英文) ›› 2011, Vol. 18 ›› Issue (1): 28-35.doi: 10.1016/S1005-8885(10)60024-6

• Wireless • 上一篇    下一篇

Layered space time codes and capacity analysis in correlated fading channels with distributed antenna system

熊飞   

  1. 北京邮电大学
  • 收稿日期:2010-06-03 修回日期:2010-11-18 出版日期:2011-02-28 发布日期:2011-02-28
  • 通讯作者: 熊飞 E-mail:nation-01@163.com
  • 基金资助:

    高频段无线信道测量、建模和仿真;电波测量与信道建模技术研究;多天线中继协作传输系统中的空时信号处理与联合优化

Layered space time codes and capacity analysis in correlated fading channels with distributed antenna system

Fei XIONG   

  • Received:2010-06-03 Revised:2010-11-18 Online:2011-02-28 Published:2011-02-28
  • Contact: Fei XIONG E-mail:nation-01@163.com
  • Supported by:

    Research on Channel Measurement, Modeling and Simulation for 6-15GHz System;Research on Channel Measurement and Modeling for IMT-Advanced System;esearch on Space-Time Signal Processing and Joint Optimization in Cooperative System with Multiple Antennas

摘要:

In this paper we have investigated the performance of downlink generalized distributed antenna system (GDAS). Under the assumption of spatial correlated fading conditions, we have derived the numeric expression of correlated coefficients according to series of Bessel function, and have lifted the range restriction of the mean angle of incident. Moreover, the architecture of distributed generalized layered space time codes (GLST) has been considered in order to achieve both multiplexing gain and diversity gain while we have used basis vector from null space instead of orthogonal set to obtain the same system performance but with lower complexity. Furthermore, in order to maximize the capacity, Gerschgorin circles based fast antenna selection algorithms have been evaluated including a discussion of those simulation results.

关键词:

GDAS, GLST, capacity, correlated fading channel

Abstract:

In this paper we have investigated the performance of downlink generalized distributed antenna system (GDAS). Under the assumption of spatial correlated fading conditions, we have derived the numeric expression of correlated coefficients according to series of Bessel function, and have lifted the range restriction of the mean angle of incident. Moreover, the architecture of distributed generalized layered space time codes (GLST) has been considered in order to achieve both multiplexing gain and diversity gain while we have used basis vector from null space instead of orthogonal set to obtain the same system performance but with lower complexity. Furthermore, in order to maximize the capacity, Gerschgorin circles based fast antenna selection algorithms have been evaluated including a discussion of those simulation results.

Key words:

GDAS, GLST, capacity, correlated fading channel

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