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

Xin Gui; Zhengyu Zhu; Inkyu Lee

doi:10.1109/VTCSpring.2015.7146114

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

Xin Gui, Zhengyu Zhu, Inkyu Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference 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.

Original language	English
Title of host publication	2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479980888
DOIs	https://doi.org/10.1109/VTCSpring.2015.7146114
Publication status	Published - 2015 Jul 1
Event	81st IEEE Vehicular Technology Conference, VTC Spring 2015 - Glasgow, United Kingdom Duration: 2015 May 11 → 2015 May 14

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2015
ISSN (Print)	1550-2252

Other

Other	81st IEEE Vehicular Technology Conference, VTC Spring 2015
Country/Territory	United Kingdom
City	Glasgow
Period	15/5/11 → 15/5/14

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/VTCSpring.2015.7146114

Cite this

Sum rate maximizing in a multi-user MIMO system with SWIPT. / Gui, Xin; Zhu, Zhengyu; Lee, Inkyu.
2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. 7146114 (IEEE Vehicular Technology Conference; Vol. 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gui, X, Zhu, Z & Lee, I 2015, Sum rate maximizing in a multi-user MIMO system with SWIPT. in 2015 IEEE 81st Vehicular Technology Conference, VTC Spring 2015 - Proceedings., 7146114, IEEE Vehicular Technology Conference, vol. 2015, Institute of Electrical and Electronics Engineers Inc., 81st IEEE Vehicular Technology Conference, VTC Spring 2015, Glasgow, United Kingdom, 15/5/11. https://doi.org/10.1109/VTCSpring.2015.7146114

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AB - 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.

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

Abstract

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