Open Access

Energy-Efficient Channel Estimation in MIMO Systems

  • Sarod Yatawatta1Email author,
  • Athina P Petropulu1 and
  • Charles J Graff2
EURASIP Journal on Wireless Communications and Networking20062006:027694

DOI: 10.1155/WCN/2006/27694

Received: 14 February 2005

Accepted: 5 December 2005

Published: 20 March 2006

Abstract

The emergence of MIMO communications systems as practical high-data-rate wireless communications systems has created several technical challenges to be met. On the one hand, there is potential for enhancing system performance in terms of capacity and diversity. On the other hand, the presence of multiple transceivers at both ends has created additional cost in terms of hardware and energy consumption. For coherent detection as well as to do optimization such as water filling and beamforming, it is essential that the MIMO channel is known. However, due to the presence of multiple transceivers at both the transmitter and receiver, the channel estimation problem is more complicated and costly compared to a SISO system. Several solutions have been proposed to minimize the computational cost, and hence the energy spent in channel estimation of MIMO systems. We present a novel method of minimizing the overall energy consumption. Unlike existing methods, we consider the energy spent during the channel estimation phase which includes transmission of training symbols, storage of those symbols at the receiver, and also channel estimation at the receiver. We develop a model that is independent of the hardware or software used for channel estimation, and use a divide-and-conquer strategy to minimize the overall energy consumption.

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Authors’ Affiliations

(1)
Electrical and Computer Engineering Department, Drexel University
(2)
US Army RDECOM CERDEC STCD

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Copyright

© Sarod Yatawatta et al. 2006

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.