Active Constellation Extension for Peak Power Reduction Based on Positive and Negative Iterations in OFDM Systems

Xiao, Y., Zhang, L. and Imran, M. (2019) Active Constellation Extension for Peak Power Reduction Based on Positive and Negative Iterations in OFDM Systems. In: 4th International Conference on UK - China Emerging Technologies (UCET 2019), Glasgow, UK, 21-22 Aug 2019, ISBN 9781728127972 (doi:10.1109/UCET.2019.8881859)

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Abstract

Traditional active constellation extension (ACE) techniques iterate under a further and further away from decision boundary constraint to find distortions for peak-to-average power ratio (PAPR) reduction, which may stop the solution on suboptimal points because it's not permitted to go back when running into a suboptimum direction. In this paper, we present a novel ACE technique by iterating in both positive and negative directions, referring to distortions found in the last iteration. During iterations, optimization variations are changed from normally used extra distortions on the last estimates to the primitive OFDM signal, which can eliminate correlations between magnitudes and phases of complex distortions and finally give an analytic solution based on orthogonal projection. By making iterations run in positive and negative directions, this algorithm can find distortions to reduce PAPR more, compared with existing methods. Simulation results show that significant improvement can be achieved either for pure ACE or TR assisted ACE method, especially under higher-order modulation schemes.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zhang, Dr Lei and Imran, Professor Muhammad and Xiao, Professor Yong
Authors: Xiao, Y., Zhang, L., and Imran, M.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
ISBN:9781728127972
Published Online:24 October 2019
Copyright Holders:Copyright © 2019 IEEE
First Published:First published in 2019 UK/ China Emerging Technologies (UCET)
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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