Modern heuristic techniques for combinatorial problems
Ultra-Wideband Wireless Communications
Ultra-Wideband Wireless Communications
Low-complexity near-ML decoding of large non-orthogonal STBCs using reactive tabu search
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Channel models for ultrawideband personal area networks
IEEE Wireless Communications
Multiuser detection in CDMA - a comparison of relaxations, exact, and heuristic search methods
IEEE Transactions on Wireless Communications
A Low-Complexity Detector for Large MIMO Systems and Multicarrier CDMA Systems
IEEE Journal on Selected Areas in Communications
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We propose a novel equalizer for ultrawideband (UWB) multiple-input multiple-output (MIMO) channels characterized by severe delay spreads. The proposed equalizer is based on reactive tabu search (RTS), which is a heuristic originally designed to obtain approximate solutions to combinatorial optimization problems. The proposed RTS equalizer is shown to perform increasingly better for increasing number of multipath components (MPC), and achieve near maximum likelihood (ML) performance for large number of MPCs at a much less complexity than that of the ML detector. The proposed RTS equalizer is shown to perform close to within 0.4 dB of single-input multiple-output AWGN performance at 10-3 uncoded BER on a severely delay-spread UWB MIMO channel with 48 equal-energy MPCs.