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Optimal Transceiver Design for SWIPT in Interference Alignment NetworkCHEN, Y.   , LIU, C. , FU, Y. , SONG, Y. , QIAN, M. |
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Author keywords
energy harvesting, interference channels, iterative methods, MIMO, optimization
References keywords
interference(21), alignment(14), networks(11), power(8), commun(8), zhao(7), leung(7), mimo(6), access(6), swipt(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2020-05-31
Volume 20, Issue 2, Year 2020, On page(s): 19 - 26
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.02003
Web of Science Accession Number: 000537943500003
SCOPUS ID: 85087441849
Abstract
This paper studies simultaneous wireless information and power transfer in a K-user multiple-input multiple-output interference channel. A new scheme jointly designing interference alignment (IA) and wireless energy harvesting is proposed. Firstly, the character of each receiver is determined according to the maximum achievable rate and maximum harvested power. The receiving users are used as either energy harvesting (EH) users or information decoding (ID) users, where EH users are used to harvest energy, and ID users are used to transmit information. Secondly, the double-objective problem is established by maximizing both the total power harvested by EH users and the total signal-to-interference-noise ratio (SINR) of the ID users. The problem is solved by the weighted sum method. Moreover, the transmit precoding matrices and the receive interference suppression matrices are solved by iterative optimization algorithm based on a complete IA constraint (IOA-CIA). Simulation results show that the proposed IOA-CIA algorithm provides higher sum rate and harvested power than the existing algorithm. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
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Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
