Robust and Secure Sum-Rate Maximization for Multiuser MISO Downlink Systems with Self-sustainable IRS
Shaokang Hu, Zhiqiang Wei, Yuanxin Cai, Chang Liu, Derrick Wing Kwan, Ng, and Jinhong Yuan

TL;DR
This paper presents a robust and secure joint beamforming and IRS phase shift design for multiuser MISO downlink systems with self-sustainable IRS, balancing energy harvesting, security, and sum-rate maximization through an efficient iterative algorithm.
Contribution
It introduces a novel joint optimization framework for secure, energy-harvesting IRS-assisted MISO systems, considering CSI imperfections and hardware constraints.
Findings
Trade-off between sum-rate and IRS self-sustainability.
Performance saturation with many energy harvesting IRS elements.
Discrete phase shifters with small bits achieve near-ideal sum-rate.
Abstract
This paper investigates robust and secure multiuser multiple-input single-output (MISO) downlink communications assisted by a self-sustainable intelligent reflection surface (IRS), which can simultaneously reflect and harvest energy from the received signals. We study the joint design of beamformers at an access point (AP) and the phase shifts as well as the energy harvesting schedule at the IRS for maximizing the system sum-rate. The design is formulated as a non-convex optimization problem taking into account the wireless energy harvesting capability of IRS elements, secure communications, and the robustness against the impact of channel state information (CSI) imperfection. Subsequently, we propose a computationally-efficient iterative algorithm to obtain a suboptimal solution to the design problem. In each iteration, S-procedure and the successive convex approximation are adopted to…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Energy Harvesting in Wireless Networks · Antenna Design and Analysis
