A Low-Complexity Solution to Sum Rate Maximization for IRS-assisted SWIPT-MIMO Broadcasting

This paper focuses on the fundamental problem of maximizing the achievable weighted sum rate (WSR) at information receivers (IRs) in an intelligent reflecting surface (IRS) assisted simultaneous wireless information and power transfer system under a multiple-input multiple-output (SWIPT-MIMO) settin...

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Bibliographic Details
Published in:IEEE Vehicular Technology Conference pp. 1 - 5
Main Authors: Kumar, Vaibhav, Papazafeiropoulos, Anastasios, Hanif, Muhammad Fainan, Tran, Le-Nam, Flanagan, Mark F.
Format: Conference Proceeding
Language:English
Published: IEEE 01.06.2023
Subjects:
Benchmark testing
Complexity theory
energy harvesting
Intelligent reflecting surface
Matrix decomposition
MIMO
penalty dual decomposition
Precoding
Quality of service
Receivers
SWIPT
Vehicular and wireless technologies
ISSN:2577-2465
Online Access:Get full text
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Summary:This paper focuses on the fundamental problem of maximizing the achievable weighted sum rate (WSR) at information receivers (IRs) in an intelligent reflecting surface (IRS) assisted simultaneous wireless information and power transfer system under a multiple-input multiple-output (SWIPT-MIMO) setting, subject to a quality-of-service (QoS) constraint at the energy receivers (ERs). Notably, due to the coupling between the transmit precoding matrix and the passive beamforming vector in the QoS constraint, the formulated non-convex optimization problem is challenging to solve. We first decouple the design variables in the constraints following a penalty dual decomposition method, and then apply an alternating gradient projection algorithm to achieve a stationary solution to the reformulated optimization problem. The proposed algorithm nearly doubles the WSR compared to that achieved by a block-coordinate descent (BCD) based benchmark scheme. At the same time, the complexity of the proposed scheme grows linearly with the number of IRS elements while that of the benchmark scheme is proportional to the cube of the number of IRS elements.
ISSN:2577-2465
DOI:10.1109/VTC2023-Spring57618.2023.10200008