Probabilistically Robust Optimization of IRS-Aided SWIPT Under Coordinated Spectrum Underlay

This study considers the Joint Transmit/Reflect Beamforming and Power Splitting (JTRBPS) optimization problem in a spectrum underlay setting, such that the transmit sum-energy of the intelligent reflecting surface (IRS)-aided secondary transmitter (ST) is minimized subject to the quality-of-service...

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Bibliographic Details
Published in:IEEE transactions on communications Vol. 70; no. 4; pp. 2298 - 2312
Main Authors: Ntougias, Konstantinos, Krikidis, Ioannis
Format: Journal Article
Language:English
Published: New York IEEE 01.04.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Beamforming
Constraints
coordinated spectrum underlay
Intelligent reflecting surface
Interference
Iterative algorithms
Iterative methods
manifold optimization
Mathematical analysis
MISO communication
Optimization
Power transfer
Quality of service
Receivers
Robust design
robust optimization
Signal to noise ratio
simultaneous wireless information and power transfer
Transmitters
Wireless communication
ISSN:0090-6778, 1558-0857
Online Access:Get full text
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Summary:This study considers the Joint Transmit/Reflect Beamforming and Power Splitting (JTRBPS) optimization problem in a spectrum underlay setting, such that the transmit sum-energy of the intelligent reflecting surface (IRS)-aided secondary transmitter (ST) is minimized subject to the quality-of-service requirements of the PS-simultaneous wireless information and power transfer (SWIPT) secondary receivers and the interference constraints of the primary receivers (PR). The interference at the PRs caused by the reception of IRS-reflected signals sent by the primary transmitter is taken into account. A coordinated channel state information (CSI) acquisition protocol is proposed. Next, assuming availability at the ST of perfect CSI for all direct and IRS-cascaded transmitter-receiver channels, two penalty-based iterative algorithms are developed: an alternating minimization algorithm that involves semi-definite relaxation in JTBPS design and successive convex approximation in RB optimization, and a block coordinate descent algorithm that employs the Riemannian conjugate gradient algorithm in RB updates. Finally, an outage-constrained robust design under imperfect CSI is devised. Numerical simulations highlight the performance gains of the proposed strategies over benchmarks, corroborate the benefits of using an IRS, and provide valuable insights.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2022.3148425