[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.
Disciplines :
Electrical & electronics engineering
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)
External co-authors :
no
Language :
English
Title :
Joint Optimization for PS-based SWIPT Multiuser Systems with Non-linear Energy Harvesting
Publication date :
May 2020
Event name :
IEEE Wireless Communications and Networking Conference (WCNC)
Event date :
from 25-5-2020 to 28-5-2020
Main work title :
IEEE Wireless Communications and Networking Conference (WCNC), Seoul, 25-38 May 2020
Peer reviewed :
Peer reviewed
FnR Project :
FNR11037543 - Integrated Wireless Information And Power Networks, 2015 (01/10/2016-30/09/2020) - Bjorn Ottersten
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