Performance analysis of IRS-aided multi-user millimeter wave communications system

Intelligent reflecting surfaces (IRS) have emerged as a promising technology to augment the performance of future wireless communication networks by mitigating the challenges posed by non line-of-sight propagation. This paper presents a comprehensive analysis of a multi-user downlink communication n...

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Bibliographic Details
Published in:International journal of information technology (Singapore. Online) 2024-02, Vol.16 (2), p.799-808
Main Authors: Das, Pratima, Basak, Sourav, Vishwakarma, Pradeep, Singh, Arun Kumar, Sur, Samarendra Nath
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Imaging
Computer Science
Image Processing and Computer Vision
Machine Learning
Original Research
Pattern Recognition and Graphics
Software Engineering
Vision
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Summary:Intelligent reflecting surfaces (IRS) have emerged as a promising technology to augment the performance of future wireless communication networks by mitigating the challenges posed by non line-of-sight propagation. This paper presents a comprehensive analysis of a multi-user downlink communication network by incorporating IRS panels. The proposed IRS-assisted system aims to enhance the overall quality of service (QoS) by leveraging the passive reflecting elements to manipulate the wireless propagation environment. The successful implementation of IRS in future wireless communication networks demands optimization at various levels. This paper focuses on analyzing the sum-rate performance of an IRS-assisted multi-user (MU) millimeter wave (mmWave) communication system by exploiting the joint optimization of active and passive beamforming. Specifically, the complex regularized zero forcing (CRZF) based linear precoders is considered for the investigation. This research provides valuable insights into the benefits of joint active and passive beamforming in IRS-assisted multi-user mmWave systems, contributing to the development of efficient and robust wireless communication networks.
ISSN:2511-2104
2511-2112
DOI:10.1007/s41870-023-01660-6