RIS-Assisted Terahertz Communications for 6G Networks: A Comprehensive Overview

The integration of multiple-input multiple-output (MIMO) technology with reconfigurable intelligent surfaces (RIS) in Terahertz (THz) communication systems has emerged as a promising approach to address the challenges and exploit the opportunities in next-generation wireless networks. This technical reviewprovides a systematic state-of-the-art research and developments toward MIMO-based RIS-supported THz communication, systems focus on the potential research opportunities, challenges, and emerging applications of this innovative technology. Further, this paper explores the combined benefits of integrating MIMO with RIS to improve link reliability, along with the associated system-level design challenges. Furthermore, we discuss various aspects of MIMO-based RIS-supported THz communication, such as channel modeling, channel estimation, beamforming techniques, beam split effect resource allocation strategies, and performance evaluation metrics. Moreover, the role of artificial intelligence and machine learning (AI/ML) in the design of RIS-empowered THz wireless communication systems is also discussed.

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Publication Details

Journal
IEEE Access
Published
2025-01-01
DOI
https://doi.org/10.1109/access.2025.3574476
Citations
12
Primary Topic
Molecular Communication and Nanonetworks
Type
article
Field-Weighted Citation Impact
8.09
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article

RIS-Assisted Terahertz Communications for 6G Networks: A Comprehensive Overview

Sanjeev Sharma, M. Hemanta Kumar, Alok Kumar, Ghanshyam Singh
12 citations
IEEE Access
Molecular Communication and Nanonetworks
8.09
article

RIS-Assisted Terahertz Communications for 6G Networks: A Comprehensive Overview

Sanjeev Sharma, M. Hemanta Kumar, Alok Kumar, Ghanshyam Singh
article en
12 citations

Abstract

The integration of multiple-input multiple-output (MIMO) technology with reconfigurable intelligent surfaces (RIS) in Terahertz (THz) communication systems has emerged as a promising approach to address the challenges and exploit the opportunities in next-generation wireless networks. This technical reviewprovides a systematic state-of-the-art research and developments toward MIMO-based RIS-supported THz communication, systems focus on the potential research opportunities, challenges, and emerging applications of this innovative technology. Further, this paper explores the combined benefits of integrating MIMO with RIS to improve link reliability, along with the associated system-level design challenges. Furthermore, we discuss various aspects of MIMO-based RIS-supported THz communication, such as channel modeling, channel estimation, beamforming techniques, beam split effect resource allocation strategies, and performance evaluation metrics. Moreover, the role of artificial intelligence and machine learning (AI/ML) in the design of RIS-empowered THz wireless communication systems is also discussed.

IEEE AccessVol. 13
Jaypee University of Information Technology (IN), University of Johannesburg (ZA), Indian Institute of Technology BHU (IN), Banaras Hindu University (IN)
Openalex Percentile: Top 2%
Molecular Communication and Nanonetworks
8.09
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RIS-Assisted Terahertz Communications for 6G Networks: A Comprehensive Overview — Sanjeev Sharma, M. Hemanta Kumar, et al. · IEEE Access (2025) | TGRS Research Map | TGRS