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Wireless Personal Communications
Published in: Wireless Personal Communications 1/2018

02-12-2017

High Power Efficient Quadrature Amplitude Modulation Soft Decision Algorithm

Authors: Daoping Jiang, Zhaofeng Zhang, Jianmin Zhuang, Runsheng He

Published in: Wireless Personal Communications | Issue 1/2018

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Abstract

The quadrature amplitude modulation (QAM) is the basic technology on high speed broadband communication physical level symbol mapping. Systems requiring lower signal to noise ratio to achieve the same error probability are more power-efficient. The usage of high order modulation is limited due to its low power efficiency compared to lower order modulation. This paper combines the characteristics of Gray code symbol mapping for QAM constellation to design a soft decision algorithm based on signal diversity (div-log-MAP). The bottle-neck of the low power efficiency is overcome and highest power efficiency can be realized. The performance of div-log-MAP can beyond the performance of log maximum a posteriori probability algorithm. At the same time, the proposed algorithm is a more effective method to utilize high order QAM modulation on high speed broadband communication.
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Literature
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Chen, M., He, J., & Chen, L. (2015). Real-time demonstration of 1024-QAM OFDM transmitter in short-reach IMDD systems. IEEE Photonics Technology Letters, 27(8), 824–827.CrossRef
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Alvarado, A., Szczecinski, L., Feick, R., et al. (2009). Distribution of L-values in Gray-mapped M 2-QAM: Closed-form approximations and applications. IEEE Transactions on Communications, 57(7), 2071–2079.CrossRef
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Xu, C., Liang, D., Sugiura, S., et al. (2013). Reduced-complexity approx-log-MAP and max-log-MAP soft PSK/QAM detection algorithms. IEEE Transactions on Communications, 61(4), 1415–1425.CrossRef
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Metadata
Title
High Power Efficient Quadrature Amplitude Modulation Soft Decision Algorithm
Authors
Daoping Jiang
Zhaofeng Zhang
Jianmin Zhuang
Runsheng He
Publication date
02-12-2017
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 1/2018
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-017-5083-5

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