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ThinkMind // ICWMC 2011, The Seventh International Conference on Wireless and Mobile Communications // View article icwmc_2011_7_20_20276


Finite-State Markov Chain Approximation for Geometric Mean of MIMO Eigenmodes

Authors:
Ping-Heng Kuo
Pang-An Ting

Keywords: MIMO; Geometric mean decomposition; Rayleigh fading; Markov model.

Abstract:
Time-varying nature of mobile fading channels can affect the design of wireless systems in many different aspects. This paper investigates the dynamic behavior of intrinsic spatial links in multiple-input multiple-output (MIMO) transceivers based on Geometric mean decomposition (GMD). In particular, we suggest using a finite-state Markov chain (FSMC) to model the fluctuations of both eigenmodes geometric mean and capacity for MIMO-GMD schemes in Rayleigh fading channels. In order to compute the transition probabilities analytically, a number of related statistical distributions are developed and employed. Simulation results have illustrated that FSMC can provide accurate approximations.

Pages: 145 to 150

Copyright: Copyright (c) IARIA, 2011

Publication date: June 19, 2011

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-61208-140-3

Location: Luxembourg City, Luxembourg

Dates: from June 19, 2011 to June 24, 2011

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