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Iterative Joint Channel Estimation and Symbol Detection for Multi-User MIMO OFDM

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4 Author(s)
M. Jiang ; School of ECS, Univ. of Southampton, S017 1BJ, UK. Tel: +44-703-593 125, Fax +44-703-593 045 ; J. Akhtman ; F. Guo ; L. Hanzo

Multiple-input-multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems have recently attracted substantial research interest. However, compared to single-input-single-output (SISO) systems, channel estimation in the MIMO scenario becomes more challenging, owing to the increased number of independent transmitter-receiver links to be estimated. In the context of the Bell layered space-time architecture (BLAST) or space division multiple access (SDMA) multi-user MIMO OFDM literature, no channel estimation technique allows the number of users to be higher than the number of receiver antennas, which is often referred to as an "overloaded" scenario. In this contribution we propose a new genetic algorithm (GA) assisted iterative joint channel estimation and multi-user detection approach for MIMO SDMA-OFDM systems, which exhibits a robust performance in the above-mentioned overloaded scenario. Furthermore, GA-aided multi-user detection (MUD) techniques found in the literature can only provide a hard-decision output, while the proposed GA is capable of providing "soft" outputs, hence achieving an improved performance with the aid of channel decoders. Finally, a range of simulation results are provided to demonstrate the superiority of the proposed scheme

Published in:

2006 IEEE 63rd Vehicular Technology Conference  (Volume:1 )

Date of Conference:

7-10 May 2006