Intelligent Reflecting Surface Aided MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer
Cunhua Pan, Hong Ren, Kezhi Wang, Maged Elkashlan, Arumugam, Nallanathan, Jiangzhou Wang, and Lajos Hanzo

TL;DR
This paper explores the use of intelligent reflecting surfaces (IRS) to improve energy harvesting and data transmission in wireless systems, proposing an optimization algorithm that enhances performance and converges efficiently.
Contribution
It introduces a joint optimization framework for IRS-assisted SWIPT systems, employing a BCD algorithm with low complexity and proven convergence to improve system performance.
Findings
IRS enhances SWIPT energy harvesting and data rates.
The proposed BCD algorithm converges rapidly and reliably.
Simulation confirms performance improvements with IRS deployment.
Abstract
An intelligent reflecting surface (IRS) is invoked for enhancing the energy harvesting performance of a simultaneous wireless information and power transfer (SWIPT) aided system. Specifically, an IRS-assisted SWIPT system is considered, where a multi-antenna aided base station (BS) communicates with several multi-antenna assisted information receivers (IRs), while guaranteeing the energy harvesting requirement of the energy receivers (ERs). To maximize the weighted sum rate (WSR) of IRs, the transmit precoding (TPC) matrices of the BS and passive phase shift matrix of the IRS should be jointly optimized. To tackle this challenging optimization problem, we first adopt the classic block coordinate descent (BCD) algorithm for decoupling the original optimization problem into several subproblems and alternatively optimize the TPC matrices and the phase shift matrix. For each subproblem, we…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Energy Harvesting in Wireless Networks · Antenna Design and Analysis
