Robust Power-Splitting SWIPT Beamforming for Broadcast Channels

• Published in: IEEE communications letters Vol. 20; no. 1; pp. 181 - 184
• Main Authors: Liao, Jialing, A. Khandaker, Muhammad R., Wong, Kai-Kit
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Array signal processing; Beamforming; broadcast; Broadcasting; Channels; Eigenvalues and eigenfunctions; Energy harvesting; Interference; Mathematical analysis; MISO; optimal beamforming; Optimization; power splitting; Radio equipment; Signal to noise ratio; Stations; Vectors (mathematics); Wireless communication; broadcast; power splitting; Energy harvesting; MISO; optimal beamforming
• ISSN: 1089-7798; 1558-2558
• DOI: 10.1109/LCOMM.2015.2498928

This letter considers the multiple-input single-output (MISO) broadcast system for simultaneous wireless information and power transfer (SWIPT) using receiver power splitting and aims to optimize jointly the beamforming vectors and the power splitting ratios for minimizing the transmit power of the base station (BS) subject to the individual signal-to-interference-plus-noise ratio (SINR) and the energy-harvesting constraints at the mobile stations (MSs). However, the CSI is assumed imperfect but has a deterministic uncertainty region. Unlike existing attempts that resort to iterations guided by semidefinite relaxation (SDR), we propose a reverse convex nonsmooth optimization algorithm, which provides the near-optimal rank-one solution.