Reference : Joint Optimization for PS-based SWIPT Multiuser Systems with Non-linear Energy Harvesting

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/45235

Title :	Joint Optimization for PS-based SWIPT Multiuser Systems with Non-linear Energy Harvesting
Language :	English
Author, co-author :	Vu, Thang Xuan [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Gautam, Sumit [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Lagunas, Eva [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	May-2020
Main document title :	IEEE Wireless Communications and Networking Conference (WCNC), Seoul, 25-38 May 2020
Peer reviewed :	Yes
Event name :	IEEE Wireless Communications and Networking Conference (WCNC)
Event date :	from 25-5-2020 to 28-5-2020
Keywords :	[en] energy harvesting ; SWIPT ; optimization
Abstract :	[en] In this paper, we investigate the performance of simultaneous wireless information and power transfer (SWIPT) multiuser systems, in which a base station serves a set of users with both information and energy simultaneously via a power splitting (PS) mechanism. To capture realistic scenarios, a nonlinear energy harvesting (EH) model is considered. In particular, we jointly design the PS factors and the beamforming vectors in order to maximize the total harvested energy, subjected to rate requirements and a total transmit power budget. To deal with the inherent non-convexity of the formulated problem, an iterative optimization algorithm is proposed based on the inner approximation method and semidefinite relaxation (SDR), whose convergence is theoretically guaranteed. Numerical results show that the proposed scheme significantly outperforms the baseline max-min based SWIPT multicast and fixed-power PS designs.
Permalink :	http://hdl.handle.net/10993/45235
FnR project :	FnR ; FNR11037543 > Bjorn Ottersten > InWIPNET > Integrated Wireless Information and Power Networks > 01/10/2016 > 30/09/2020 > 2015

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