Cooperative Double IRS aided Secure Communication for MIMO-OFDM Systems
Weijie Xiong, Jingran Lin, Di Jiang, Yuhan Zhang, Kai Zhong, and Qiang Li

TL;DR
This paper introduces a novel wideband MIMO-OFDM secure communication scheme using cooperative double-IRS, employing a manifold-based optimization approach to overcome frequency coupling issues and significantly improve secrecy rates.
Contribution
It develops a manifold-based optimization framework for double-IRS-assisted wideband MIMO-OFDM secure communication, addressing frequency coupling challenges in prior narrowband designs.
Findings
Achieves up to 32.0% higher secrecy rate than single-IRS schemes.
Effectively resolves OFDM coupling issues in wideband MIMO-OFDM.
Proposes a convergence-guaranteed Riemannian gradient descent algorithm.
Abstract
Cooperative double intelligent reflecting surface (double-IRS) has emerged as a promising approach for enhancing physical layer security (PLS) in MIMO systems. However, existing studies are limited to narrowband scenarios and fail to address wideband MIMO-OFDM. In this regime, frequency-flat IRS phases and cascaded IRS links cause severe coupling, rendering narrowband designs inapplicable. To overcome this challenge, we introduce cooperative double-IRS-assisted wideband MIMO-OFDM and propose an efficient manifold-based solution. By regarding the power and constant modulus constraints as Riemannian manifolds, we reformulate the non-convex secrecy sum rate maximization as an unconstrained optimization on a product manifold. Building on this formulation, we further develop a product Riemannian gradient descent (PRGD) algorithm with guaranteed stationary convergence. Simulation results…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Wireless Communication Security Techniques · Optical Wireless Communication Technologies
