中国邮电高校学报(英文) ›› 2009, Vol. 16 ›› Issue (2): 20-23.doi: 10.1016/S1005-8885(08)60195-8

• Wireless • 上一篇    下一篇

Simplified transmitter design for MIMO systems with channel uncertainty

DU Juan, KANG Gui-xia, ZHANG Ping   

  1. Key Laboratory of Universal Wireless Communications, Ministry of Education Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-04-30
  • 通讯作者: 杜娟

Simplified transmitter design for MIMO systems with channel uncertainty

DU Juan, KANG Gui-xia, ZHANG Ping   

  1. Key Laboratory of Universal Wireless Communications, Ministry of Education Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-04-30
  • Contact: DU Juan

摘要:

This article investigates transmitter design in Rayleigh fading multiple input multiple output (MIMO) channels with spatial correlation when there are channel uncertainties caused by a combined effect of channel estimation error and limited feedback. To overcome the high computational complexity of the optimal transmit power allocation, a simple and suboptimal allocation is proposed by exploiting the transmission constraint and differentiating a bound based on Jensen inequality on the channel capacity. The simulation results show that the mutual information corresponding to the proposed power allocation closely approaches the channel capacity corresponding to the optimal one and meanwhile the computational complexity is greatly reduced.

关键词:

MIMO,;capacity,;channel;state;information;(CSI),;channel;estimation;error,;covariance;feedback,;mutual;information,;power;allocation

Abstract:

This article investigates transmitter design in Rayleigh fading multiple input multiple output (MIMO) channels with spatial correlation when there are channel uncertainties caused by a combined effect of channel estimation error and limited feedback. To overcome the high computational complexity of the optimal transmit power allocation, a simple and suboptimal allocation is proposed by exploiting the transmission constraint and differentiating a bound based on Jensen inequality on the channel capacity. The simulation results show that the mutual information corresponding to the proposed power allocation closely approaches the channel capacity corresponding to the optimal one and meanwhile the computational complexity is greatly reduced.

Key words:

MIMO;capacity;channel state information (CSI);channel estimation error;covariance feedback;mutual information;power allocation