Sum rate maximizing in a multi-user MIMO system with SWIPT

Xin Gui, Zhengyu Zhu, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Citations (Scopus)

Abstract

Abstract-This paper studies the simultaneous wireless infor- mation and power transfer (SWIPT) in a multiuser broadcast (BC) multiple-input multiple-output (MIMO) system, in which a base station sends messages to several information decoding (ID) users, and transmits wireless power to multiple energy harvesting (EH) user at the same time. We aim to maximize the sum-rate of the ID users while maintaining a minimum EH constraint for each EH user. Firstly, an optimal rate-energy (R-E) boundary is characterized by using a BC-multiple access channel (MAC) duality derived from dirty paper coding (DPC). Since the complexity of the DPC is quite high due to continuously encoding and decoding at the transceivers, we then propose a sub- optimal algorithm using a weighted minimum mean square error (WMMSE) approach, which has lower complexity and iteratively converges a local optimal point. Finally, the performance com- parisons and convergence properties are illustrated by simulation results

Original languageEnglish
Title of host publicationIEEE Vehicular Technology Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2015-July
ISBN (Print)9781479980888
DOIs
Publication statusPublished - 2015 Jul 1
Event81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom
Duration: 2015 May 112015 May 14

Other

Other81st IEEE Vehicular Technology Conference, VTC Spring 2015
CountryUnited Kingdom
CityGlasgow
Period15/5/1115/5/14

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Applied Mathematics

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  • Cite this

    Gui, X., Zhu, Z., & Lee, I. (2015). Sum rate maximizing in a multi-user MIMO system with SWIPT. In IEEE Vehicular Technology Conference (Vol. 2015-July). [7146114] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2015.7146114