Sum Rate Optimization for Two Way Communications With Intelligent Reflecting Surface
Yu Zhang, Caijun Zhong, Zhaoyang Zhang, Weidang Lu
Abstract
In this letter, an intelligent reflecting surface (IRS) enhanced full-duplex MIMO two-way communication system is studied. The system sum rate is maximized through jointly optimizing the source precoders and the IRS phase shift matrix. Adopting the idea of Arimoto-Blahut algorithm, the non-convex optimization problem is decoupled into three sub-problems, which are solved alternatingly. All the sub-problems can be solved efficiently with closed-form solutions. In addition, practical IRS assumptions, e.g., discrete phase shift levels, are also considered. Numerical results verify the convergence and performance of the proposed scheme.
Topics & Concepts
Computer scienceOptimization problemMIMOConvex optimizationConvergence (economics)Mathematical optimizationRegular polygonSurface (topology)Rate of convergenceMatrix (chemical analysis)Scheme (mathematics)Communications systemAlgorithmMathematicsTelecommunicationsBeamformingChannel (broadcasting)Mathematical analysisEconomicsComposite materialEconomic growthGeometryMaterials scienceAdvanced Wireless Communication TechnologiesOptical Wireless Communication TechnologiesSatellite Communication Systems