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Cited by 224Advanced Wireless Communication TechnologiesMillimeter-Wave Propagation and ModelingAdvanced MIMO Systems Optimization

RIS-Aided Cell-Free Massive MIMO Systems for 6G: Fundamentals, System Design, and Applications

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Shi, Enyu, Zhang, Jiayi, Du, Hongyang, Ai, Bo, Yuen, Chau, Niyato, Dusit, Letaief, Khaled B., Shen, Xuemin·2024·Proceedings of the IEEE
DOI 10.1109/jproc.2024.3404491
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Abstract

An introduction of intelligent interconnectivity for people and things has posed higher demands and more challenges for sixth-generation (6G) networks, such as high spectral efficiency and energy efficiency (EE), ultralow latency, and ultrahigh reliability. Cell-free (CF) massive multiple-input-multiple-output (mMIMO) and reconfigurable intelligent surface (RIS), also called intelligent reflecting surface (IRS), are two promising technologies for coping with these unprecedented demands. Given their distinct capabilities, integrating the two technologies to further enhance wireless network performances has received great research and development attention. In this article, we provide a comprehensive survey of research on RIS-aided CF mMIMO wireless communication systems. We first introduce system models focusing on system architecture and application scenarios, channel models, and communication protocols. Subsequently, we summarize the relevant studies on system operation and resource allocation, providing in-depth analyses and discussions. Following this, we present practical challenges faced by RIS-aided CF mMIMO systems, particularly those introduced by RIS, such as hardware impairments (HIs) and electromagnetic interference (EMI). We summarize the corresponding analyses and solutions to further facilitate the implementation of RIS-aided CF mMIMO systems. Furthermore, we explore an interplay between RIS-aided CF mMIMO and other emerging 6G technologies, such as millimeter wave (mmWave) and terahertz (THz), simultaneous wireless information and power transfer (SWIPT), next-generation multiple access (NGMA), and unmanned aerial vehicle (UAV). Finally, we outline several research directions for future RIS-aided CF mMIMO systems.

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Authors
Shi, E., Zhang, J., Du, H., Ai, B., Yuen, C., Niyato, D., Letaief, K. B., & Shen, X.
Affiliations
  • Beijing Jiaotong University (CN)
  • Nanyang Technological University (SG)
  • Hong Kong University of Science and Technology (HK)
  • University of Waterloo (CA)
ORCID
Venue
Proceedings of the IEEE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2024-04
Volume
112
Issue
4
Pages
331-364
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
DOI
10.1109/jproc.2024.3404491
OpenAlex
W4399601919
Cited by
224
References
2
Citations by year
2026: 72 · 2025: 108 · 2024: 44
FWCI
23.23
Type
journal article
Language
en
Open access
Licence
Locations
  • Proceedings of the IEEE (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • DR-NTU (Nanyang Technological University) (submittedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
  • Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
  • arXiv (Cornell University)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Millimeter-Wave Propagation and Modeling
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced MIMO Systems Optimization
Keywords
reconfigurable intelligent surface, cell-free massive MIMO, 6G, resource allocation, hardware impairments, electromagnetic interference, channel models, millimeter wave, terahertz communication, simultaneous wireless information and power transfer, unmanned aerial vehicles, energy efficiency, system architecture

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