Machine Learning for Intelligent-Reflecting-Surface-Based Wireless Communication towards 6G: A Review

Sejan, Mohammad Abrar Shakil; Rahman, Md Habibur; Shin, Beom-Sik; Oh, Ji-Hye; You, Young-Hwan; Song, Hyoung‐Kyu

doi:10.3390/s22145405

Cited by 53 publications

(20 citation statements)

References 110 publications

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“…There have been numerous studies in the literature that have introduced RISs and their applications [11], [40], [78], [79], [80], [81], [82], [83], [84], [85], [86]. However, the focus and scope of these papers differ from our work.…”

Section: Related Surveys and Contributionsmentioning

confidence: 89%

Joint Beamforming Optimization Design and Performance Evaluation of RIS-Aided Wireless Networks: A Comprehensive State-of-the-Art Review

Ibrahim,

Mahmud,

Salleh

et al. 2023

IEEE Access

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Reconfigurable intelligent surface (RIS) has emerged as a promising technology for supporting sixth-generation (6G) wireless communication systems. RIS intelligently manages signal reflection properties to enhance signal strength and quality at the receiver. RIS devices are inherently passive, requiring minimal power to perform signal manipulation. Through signal path optimization, interference and transmit power reduction, RIS advances energy efficiency. This aligns with the eco-friendly goals of 6G. However, efficient optimization in RIS-aided networks plays a crucial role in fully unlocking the potential of RIS. Additionally, performance evaluation of RIS-aided systems contributes to understanding optimal configurations and design guidelines for real-world RIS deployments. Despite the contributions from performance evaluation and optimization, RIS confronts various design constraints that demand innovative approaches to optimization and evaluation of their performances. Implementing RIS poses challenges in optimizing configurations for dynamic environments, handling computational complexity in large-scale systems, and adapting to changing wireless conditions. This work provides a comprehensive and in-depth survey of the state-of-the-art in joint optimization designs and performance evaluation for RIS-aided wireless systems. Furthermore, we identify areas that require further investigation to facilitate future research in addressing the existing gaps in knowledge. Finally, the survey discusses promising future research directions that include exploring optimization techniques ensuring global optima with computational efficiency, investigating analytical approaches for accurate network performance assessment under diverse conditions, advancing multiobjective joint optimization, developing application-specific integrated performance metrics, examining the joint impact of relevant RIS design parameters, investigating adaptive quantization schemes, and exploring reliable channel state estimation techniques that are resilient against dynamic environments, noise, interference, and delays.

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Section: Related Surveys and Contributionsmentioning

confidence: 89%

Joint Beamforming Optimization Design and Performance Evaluation of RIS-Aided Wireless Networks: A Comprehensive State-of-the-Art Review

Ibrahim,

Mahmud,

Salleh

et al. 2023

IEEE Access

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“… LOS communication is very important in VLC as the direct signal can provide high data rate communication. Reflecting intelligent surfaces [ 184 , 185 ] can help to reach the user with a direct signal. The channel model is very complex and needs further investigation.…”

Section: Future Trends In Vlc Mimo Communicationmentioning

confidence: 99%

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

Sejan

Rahman

Aziz

et al. 2023

Sensors

Self Cite

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Visible light communication (VLC) has contributed new unused spectrum in addition to the traditional radio frequency communication and can play a significant role in wireless communication. The adaptation of VLC technology enhances wireless connectivity both in indoor and outdoor environments. Multiple-input multiple-output (MIMO) communication has been an efficient technique for increasing wireless communications system capacity and performance. With the advantages of MIMO techniques, VLC can achieve an additional degree of freedom. In this paper, we systematically perform a survey of the existing work based on MIMO VLC. We categorize the types of different MIMO techniques, and a brief description is given. Different problem-solving approaches are given in the subsequent sections. In addition, machine learning approaches are also discussed in sufficient detail. Finally, we identify the future study direction for MIMO-based communication in VLC.

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“…In [22], the challenges faced by IRS in channel estimation/acquisition, passive beamform-ing/reflection design, and hardware limitations/deficiencies were investigated, as well as the results of IRS channel estimation under different architectures and system settings. In [23], machine learning for IRS-based wireless communication was mainly investigated. In [24], the authors discuss and investigate the channel modeling, channel estimation, system architecture, hardware impairments, IRS deployment strategies, phase optimization, mobility management, and near-field environments in order to make IRS assistance systems more effective and efficient.…”

Section: B Security Issuementioning

confidence: 99%

A Study on IRS-assisted Communications: Problems, Challenges, and Solutions

Liu¹,

Mei²

2022

J-NaNA

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This paper studies the Intelligent reflecting surface (IRS)-based communications, including the fixed and UAV-mounted IRSs. IRSs can be deployed in locations that are difficult to receive or transmit signals due to obstacles or remote areas by passively reflecting the signals received from base stations (BSs). The IRSs can reflect signals in the designed way to enhance the transmitted signal or enable line-of-sight (LOS) communications. They can be fixed on the side of high buildings to reflect signals or mounted on the UAVs to provide temporary wireless communications in the remote areas. This paper conducts an overview on IRS-based communications including the existing problems, challenges, and possible solutions.

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Machine Learning for Intelligent-Reflecting-Surface-Based Wireless Communication towards 6G: A Review

Cited by 53 publications

References 110 publications

Joint Beamforming Optimization Design and Performance Evaluation of RIS-Aided Wireless Networks: A Comprehensive State-of-the-Art Review

Joint Beamforming Optimization Design and Performance Evaluation of RIS-Aided Wireless Networks: A Comprehensive State-of-the-Art Review

A Comprehensive Survey on MIMO Visible Light Communication: Current Research, Machine Learning and Future Trends

A Study on IRS-assisted Communications: Problems, Challenges, and Solutions

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