Robust Power-Splitting SWIPT Beamforming for Broadcast Channels

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...

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Published inIEEE communications letters Vol. 20; no. 1; pp. 181 - 184
Main Authors Liao, Jialing, A. Khandaker, Muhammad R., Wong, Kai-Kit
Format Journal Article
LanguageEnglish
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
Online AccessGet full text
ISSN1089-7798
1558-2558
DOI10.1109/LCOMM.2015.2498928

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Abstract 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.
AbstractList 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.
Author Wong, Kai-Kit
Liao, Jialing
A. Khandaker, Muhammad R.
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Cites_doi 10.1109/TSP.2012.2189857
10.1109/TWC.2013.031813.120224
10.1109/TCOMM.2013.13.120855
10.1109/ICCChina.2014.7008285
10.1109/TWC.2014.041714.131688
10.1109/TWC.2013.062413.122042
10.1109/TWC.2012.113012.120500
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optimal beamforming
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Snippet This letter considers the multiple-input single-output (MISO) broadcast system for simultaneous wireless information and power transfer (SWIPT) using receiver...
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StartPage 181
SubjectTerms 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
Title Robust Power-Splitting SWIPT Beamforming for Broadcast Channels
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