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Title: Performance of Bayesian estimation based variable rate variable power MQAM system
Authors: Ong, Lay Teen
Lambotharan, Sangarapillai
Chambers, Jonathon
Shikh-Bahaei, Mohammad
Issue Date: 2006
Publisher: © IEEE
Citation: ONG, L.T. ... et al, 2008. Performance of Bayesian estimation based variable rate variable power MQAM system. IN: Proceedings of the 17th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Helsinki, 11-14 September 2006, pp. 1-5
Abstract: In this paper, we generalize the algorithms of our previously proposed Bayesian estimation based variable rate variable power multilevel quadrature amplitude modulation (VRVP-MQAM) system to incorporate for the first time a maximum a posteriori (MAP) channel predictor and a MQAM scheme adopted with practical constellation sizes. Based on a pilot symbol assisted modulation (PSAM) scheme, we evaluate the performance of our proposed VRVP-MQAM system over a Rayleigh flat-fading channel. We demonstrate in our simulation results that the proposed rate and power algorithms that are derived based on a Bayesian bit error rate (BER) estimation and the second order statistical characterization of the channel state information (CSI) outperforms in terms of spectral efficiency and average BER. This improvement is confirmed by comparison with an alternative rate and power algorithm which exploits an ideal CSI assumption
Description: This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/PIMRC.2006.254452
URI: https://dspace.lboro.ac.uk/2134/5542
ISBN: 1424403294
Appears in Collections:Conference Papers and Contributions (Electronic, Electrical and Systems Engineering)

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