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05 October 2020
Article (Scientific journals)
Robust Probabilistic-Constrained Optimization for IRS-Aided MISO Communication Systems
Le, Anh Tuan; Trinh, van Chien; Di Renzo, Marco
2020In IEEE Wireless Communications Letters
Peer Reviewed verified by ORBi


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Keywords :
6G wireless; intelligent reflecting surface
Abstract :
[en] Taking into account imperfect channel state information, this letter formulates and solves a joint active/passive beamforming optimization problem in multiple-input single-output systems with the support of an intelligent reflecting surface. In particular, we introduce an optimization problem to minimize the total transmit power subject to maintaining the users' signal-to-interference-plus-noise-ratio coverage probability above a predefined target. Due to the presence of probabilistic constraints, the proposed optimization problem is non-convex. To circumvent this issue, we first recast the proposed problem in a convex form by adopting the Bernstein-type inequality, and we then introduce a converging alternating optimization approach to iteratively find the active/passive beamforming vectors. In particular, the transformed robust optimization problem can be effectively solved by using standard interior-point methods. Numerical results demonstrate the effectiveness of jointly optimizing the active/passive beamforming vectors.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Le, Anh Tuan;  The Department of Design Engineering & Mathematics, Faculty of Science and Technology, Middlesex University, London, U. K.
Trinh, van Chien ;  University of Luxembourg
Di Renzo, Marco;  Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des Signaux et Systèmes, 91192 Gif-sur-Yvette, France
External co-authors :
Language :
Title :
Robust Probabilistic-Constrained Optimization for IRS-Aided MISO Communication Systems
Publication date :
14 August 2020
Journal title :
IEEE Wireless Communications Letters
Publisher :
IEEE Communications Society, Piscataway, United States - New Jersey
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust


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