Robust probabilistic-constrained optimization for IRS-aided MISO communication systems

Article


Le, T., Trinh, V. and Di Renzo, M. 2021. Robust probabilistic-constrained optimization for IRS-aided MISO communication systems. IEEE Wireless Communications Letters. 10 (1), pp. 1-5. https://doi.org/10.1109/LWC.2020.3016592
TypeArticle
TitleRobust probabilistic-constrained optimization for IRS-aided MISO communication systems
AuthorsLe, T., Trinh, V. and Di Renzo, M.
Abstract

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.

Keywords6G wireless; intelligent reflecting surface
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
JournalIEEE Wireless Communications Letters
ISSN2162-2337
Electronic2162-2345
Publication dates
Online14 Aug 2020
PrintJan 2021
Publication process dates
Deposited14 Aug 2020
Accepted07 Aug 2020
Submitted09 Jul 2020
Output statusPublished
Accepted author manuscript
File Access Level
Open
Copyright Statement

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Digital Object Identifier (DOI)https://doi.org/10.1109/LWC.2020.3016592
Web of Science identifierWOS:000608008200001
LanguageEnglish
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