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

被引:0
作者
Kumar, Alok [1 ]
Sharma, Sanjeev [2 ]
Kumar, M. Hemanta [3 ]
Singh, Ghanshyam [4 ]
机构
[1] Jaypee Univ Informat Technol, Dept Elect & Commun Engn, Waknaghat 173234, India
[2] Indian Inst Technol IIT BHU Varanasi, Varanasi 221005, India
[3] Stuam Technol Pvt Ltd, Hyderabad 500084, India
[4] Univ Johannesburg, Ctr Smart Informat & Commun Syst, Dept Elect & Elect Engn Sci, Auckland Pk Campus, ZA-2006 Johannesburg, South Africa
来源
IEEE ACCESS | 2025年 / 13卷
关键词
Terahertz communications; Reconfigurable intelligent surfaces; 6G mobile communication; Array signal processing; Communication systems; Communication system security; Channel estimation; Bandwidth; Wireless networks; Surveys; THz communication; reconfigurable intelligent surface (RIS); MIMO; beamforming; AI/ML-based optimization; channel modeling and estimation; multiple access techniques; performance metrics; MASSIVE MIMO; CHANNEL ESTIMATION; WIRELESS COMMUNICATIONS; DECOMPOSITION; OPPORTUNITIES; CHALLENGES; SURFACES; DESIGN; MMWAVE; ACCESS;
D O I
10.1109/ACCESS.2025.3574476
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 review provides 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.
引用
收藏
页码:96337 / 96364
页数:28
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