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Title: Variable rate and variable power MQAM system based on Bayesian bit error rate and channel estimation techniques
Authors: Ong, Lay Teen
Shikh-Bahaei, Mohammad
Chambers, Jonathon
Keywords: Adaptive modulation
Adaptive power
Channel estimation
Flat-fading channel
MQAM
BER
Issue Date: 2008
Publisher: © IEEE
Citation: ONG, L.T., SHIKH-BAHAEI, M. and CHAMBERS, J., 2008. Variable rate and variable power MQAM system based on Bayesian bit error rate and channel estimation techniques. IEEE Transactions on Communications, 56 (2), pp. 177-182.
Abstract: The impact of inaccurate channel state information at the transmitter for a variable rate variable power multilevel quadrature amplitude modulation (VRVP-MQAM) system over a Rayleigh flat-fading channel is investigated. A system model is proposed with rate and power adaptation based on the estimates of instantaneous signal-to-noise ratio (SNR) and bit error rate (BER). A pilot symbol assisted modulation scheme is used for SNR estimation. The BER estimator is derived using a maximum a posteriori approach and a simplified closed-form solution is obtained as a function of only the second order statistical characterization of the channel state imperfection. Based on the proposed system model, rate and power adaptation is derived for the optimization of spectral efficiency subject to an average power constraint and an instantaneous BER requirement. The performance of the VRVP-MQAM system under imperfect channel state information (CSI) is evaluated. We show that the proposed VRVP-MQAM system that employs optimal solutions based on the statistical characterization of CSI imperfection achieves a higher spectral efficiency as compared to an ideal CSI assumption based method.
Description: This article was published in the journal IEEE Transactions on Communications [© IEEE] and 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/TCOMM.2008.060142
URI: https://dspace.lboro.ac.uk/2134/5740
ISSN: 0090-6778
Appears in Collections:Published Articles (Electronic, Electrical and Systems Engineering)

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