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Performance of Bayesian estimation based variable rate variable power MQAM system

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conference contribution
posted on 2009-11-30, 13:47 authored by Lay Teen Ong, Sangarapillai LambotharanSangarapillai Lambotharan, Jonathon Chambers, Mohammad Shikh-Bahaei
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

History

School

  • Mechanical, Electrical and Manufacturing Engineering

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

Publisher

© IEEE

Version

  • VoR (Version of Record)

Publication date

2006

Notes

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.

ISBN

1424403294

Language

  • en

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