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ThinkMind // COGNITIVE 2010, The Second International Conference on Advanced Cognitive Technologies and Applications // View article cognitive_2010_2_20_30056


Guided Local Search in High Performance Detectors for MIMO Systems

Authors:
Jaime L. Jacob
Yuri M. Mostagi
Taufik Abrão

Keywords: MIMO system, heuristic detectors, semidefinite relaxation

Abstract:
This work analyzes efficient non-spreading (a)synchronous multiple-input multiple-output (MIMO) detection topologies under realistic channels which results in high throughput and good performance versus complexity trade-off. In this sense, we look for near-optimum efficient MIMO detections suitable for (un)coding schemes. Main system and channel parameters are analyzed, such as increasing number for transmitter and receiver antennas, number of iterations for convergence under AWGN and Rayleigh fading channels. Two heuristic local search MIMO detectors are compared with other near-optimum detectors, specifically SDR (semidefinite relaxation), expectation-maximization (EM), and linear multiuser detectors. Besides, the MIMO detectors performances under large MIMO systems (high number of transmitter and/or receiver antennas) are analyzed. The performance x complexity tradeoff results have indicated promising features for the guided local search (GLS) procedures in high capacity MIMO detectors.

Pages: 36 to 43

Copyright: Copyright (c) IARIA, 2010

Publication date: November 21, 2010

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-108-3

Location: Lisbon, Portugal

Dates: from November 21, 2010 to November 26, 2010

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