Achievable Rate Region Maximization in Intelligent Reflecting Surfaces-Assisted Interference Channel

Impact Factor:6.239

DOI number:10.1109/TVT.2021.3120308

Journal:IEEE Transactions on Vehicular Technology

Abstract:In the achievable rate region maximization for intelligent reflecting surfaces (IRSs)-assisted interference channel (IFC), where more than one pair of transceivers communicates and interferes with each other simultaneously. Specifically, we optimize the transmit power and passive beamforming vectors at all the IRSs to obtain the Pareto boundary of the achievable rate region in IFC, subject to the unit-modulus constraints for the passive beamforming vectors at the IRSs and transmit power budgets at the transmitters. To solve the formulated non-convex optimization problem efficiently, we resort to optimize each variable alternatively until convergence. The optimization of transmit power is based on a locally optimal fixed-point iteration method. Instead of using the conventional high-complexity and sub-optimal Gaussian randomization-aided semi-definite relaxation (SDR) technique for the passive beamforming design, we first propose a novel locally optimal homotopy optimization based majorization-minimization method. To further reduce the computational complexity, a locally optimal log-sum-exp approximation based manifold optimization method is also proposed. Simulation results validate that our proposed methods can significantly decrease the computational complexity and outperform the conventional SDR-based algorithm.

Co-author:zhangguangchi,cuimiao

First Author:jmiao

Correspondence Author:Li Yiqing

Discipline:Engineering

First-Level Discipline:Information and Communication Engineering

Document Type:J

Volume:70

Issue:12

Page Number:13406–13412

ISSN No.:1939-9359

Translation or Not:no

Date of Publication:2021-12-01

Included Journals:SCI

Links to published journals:https://ieeexplore.ieee.org/document/9576566