Joint Transmit Beamforming and Receive Power Splitting for MISO SWIPT Systems

By Qingjiang Shi, Liang Liu, Weiqiang Xu, Rui Zhang. IEEE Transactions on Wireless Communications, 2013

515 citations recorded by the source corpus.

This paper studies a multi-user multiple-input single-output (MISO) downlink system for simultaneous wireless information and power transfer (SWIPT), in which a set of single-antenna mobile stations (MSs) receive information and energy simultaneously via power splitting (PS) from the signal sent by a multi-antenna base station (BS). We aim to minimize the total transmission power at BS by jointly designing transmit beamforming vectors and receive PS ratios for all MSs under their given signal-to-interference-plus-noise ratio (SINR) constraints for information decoding and harvested power constraints for energy harvesting. First, we derive the sufficient and necessary condition for the feasibility of our formulated problem. Next, we solve this non-convex problem by applying the technique of semidefinite relaxation (SDR). We prove that SDR is indeed tight for our problem and thus achieves its global optimum. Finally, we propose two suboptimal solutions of lower complexity than the optimal solution based on the principle of separating the optimization of transmit beamforming and receive PS, where the zero-forcing (ZF) and the SINR-optimal based transmit beamforming schemes are applied, respectively.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/4a29d3da2fcb75b8c29afc48adb3a9a04dc844aa

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Citations in the corpus

Communications and Signals Design for Wireless Power Transmission (2016, background): “For example, for co-located energy/information receivers, time switching and power splitting are two prominent strategies to achieve both energy and information receptions at the same node [40], [194]–[196].”
Simultaneous Wireless Information and Power Transfer (SWIPT): Recent Advances and Future Challenges (2018, background): “[108] have recently extended the conventional SWIPT beamforming techniques in the context of symbol level precoding by exploiting the interference signal as (i) a source of electrical signal for EH, and (ii) a source of useful information signals [110].”
Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, background): “For example, [116] investigates a multi-user broadcast model in which each user adopts the PS strategy for splitting a portion of its received signal for information decoding and the remaining portion for energy harvesting, i.e., the so-called co-located information and energy receiver.”
Wireless Networks With RF Energy Harvesting: A Contemporary Survey (2014, background): “Shi et al [164] Power-splitting Multi-user MISO downlink system Quasi-static flatfading channel Minimizing total transmit power N.”
Wireless powered communication: opportunities and challenges (2014, background): “4 ), which uses a subset of antennas for EH ( ρ = 1 ) and the rest for ID ( ρ = 0 ).”
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges (2016, methodology): “The aim of [179] is to minimize the total transmit power by jointly optimizing user beamforming and power splitting under both SINR and energy harvesting constraints, and a decentralized algorithm is proposed based on second-order cone programming relaxation.”