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  • Research Article
  • Open Access

Power Allocation between Pilot and Data Symbols for MIMO Systems with MMSE Detection under MMSE Channel Estimation

EURASIP Journal on Wireless Communications and Networking20112011:785437

https://doi.org/10.1155/2011/785437

  • Received: 12 June 2010
  • Accepted: 3 January 2011
  • Published:

Abstract

For multiple-input multiple-output (MIMO) wireless communication system with minimum mean square error (MMSE) detection, a new scheme of power allocation between pilot and data symbols is investigated under MMSE channel estimation in this paper. First, we propose a novel soft-output MMSE MIMO detector by taking into consideration the channel estimation error. Then, through the application of random matrix theorem, we propose an efficient scheme for power allocation between pilot and data symbols which maximizes the lower bound of postprocessing signal-to-interference-and-noise ratio (SINR) for MIMO systems with equal number of transmitter and receiver antennas. We have proven the existence and uniqueness of the proposed optimal power allocation settings. Furthermore, our analysis shows that the proposed power allocation is also valid and applicable for those MIMO systems with unequal number of transmitter and receiver antennas. Finally, our extensive simulation results have validated this novel power allocation scheme.

Keywords

  • Channel Estimation
  • Power Allocation
  • Random Matrix
  • Minimum Mean Square Error
  • MIMO System

Publisher note

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Authors’ Affiliations

(1)
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, 611731, China
(2)
Qualcomm Inc., Santa Clara, CA 95051, USA
(3)
Institute of Industrial Science, The University of Tokyo, Tokyo 153-8505, Japan

Copyright

© Jun Wang et al. 2011

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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