Reconfigurable Intelligent Surfaces: Potentials, Applications, and Challenges for 6G Wireless Networks

Basharat, Sarah; Hassan, Syed Ali; Pervaiz, Haris; Mahmood, Aamir; Ding, Zhiguo; Gidlund, Mikael

doi:10.1109/mwc.011.2100016

Cited by 145 publications

(69 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…IRS is energy and cost efficient, by inducing smart radio environments, and is free from self-interference, so can be used as other related wireless technologies such as, conventional relaying, backscatter communication (BackCom), and mMIMO relaying. IRS can be a solution for energy and spectral-efficient issue in 6G systems [6]. IRS will play a crucial role in 6G communication networks, similar to that of massive MIMO in 5G networks.…”

Section: G Network Requirements and Challengesmentioning

confidence: 99%

Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends

et al. 2021

View full text Add to dashboard Cite

Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important role in realizing and optimizing 6G network applications. In this paper, we present a brief summary of ML methods, as well as an up-to-date review of ML approaches in 6G wireless communication systems. These methods include supervised, unsupervised and reinforcement techniques. Additionally, we discuss open issues in the field of ML for 6G networks and wireless communications in general, as well as some potential future trends to motivate further research into this area.

show abstract

Section: G Network Requirements and Challengesmentioning

confidence: 99%

Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends

et al. 2021

View full text Add to dashboard Cite

show abstract

“…To compensate for their higher propagation attenuation and achieve sustainable capacity enhancement, utilizing intelligent reflecting surface (IRS) [21]- [23] has emerged as a possible solution for removing the barriers of relatively unreliable and costly conventional THz transmissions. Indeed, an IRS is a thin planar meta-surface composed of a large number of reconfigurable scatterers, each of which can independently collect the impinging RF signal, adjust its electromagnetic (EM) properties (e.g., the amplitude and phase shift) under the control of a smart IRS controller, and then reflect it so as to obtain the desired realization.…”

Section: B Thz and Irs Technologiesmentioning

confidence: 99%

Aerial Intelligent Reflecting Surface Enabled Terahertz Covert Communications in Beyond-5G Internet of Things

Mamaghani,

Hong

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In this regard, a new concept of smart radio environments (SREs) has emerged [9], with the capability to tune the propagation channel according to the use case application. In order to realize the SREs, a disruptive technology, reconfigurable intelligent surface (RIS), also called intelligent reflecting surface (IRS), has attracted the research community [10], [11], [12]. RISs are envisioned to be capable of transforming the dumb wireless environment into an intelligent and smart space that can play an active role in improving the quality-of-service (QoS) and connectivity.…”

Section: Introductionmentioning

confidence: 99%

Exploring Reconfigurable Intelligent Surfaces for 6G: State-of-the-Art and the Road Ahead

Basharat¹,

Khan²,

Iqbal³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Reconfigurable intelligent surfaces (RISs) are envisioned to transform the propagation space into a smart radio environment (SRE) to realize the diverse applications of sixth-generation (6G) wireless communication. By smartly tuning the massive number of elements via controller, an RIS can passively phase-shift the electromagnetic (EM) waves to enhance the system performance. The absence of radio-frequency (RF) chains makes RIS an energy-efficient and cost-effective solution for future wireless networks. In this paper, we explore the state-of-the-art research on different aspects of RIS-assisted communication. Specifically, we first introduce the fundamentals of RIS, including the RIS's structure, operating principle, and deployment strategies. We then comprehensively discuss the emerging applications of RISs for 6G wireless networks. In addition, we elaborate on the crucial challenges for RIS-assisted networks, namely, RIS channel state information (CSI) acquisition and passive beamforming optimization. Furthermore, we present the recent research contributions leveraging the artificial intelligence (AI) based techniques for channel estimation, phase-shift optimization, and resource allocation in RIS-assisted networks. Finally, to provide effective guidance for future research, we highlight important research directions for realizing RIS-assisted network.

show abstract

Reconfigurable Intelligent Surfaces: Potentials, Applications, and Challenges for 6G Wireless Networks

Cited by 145 publications

References 15 publications

Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends

Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends

Aerial Intelligent Reflecting Surface Enabled Terahertz Covert Communications in Beyond-5G Internet of Things

Exploring Reconfigurable Intelligent Surfaces for 6G: State-of-the-Art and the Road Ahead

Contact Info

Product

Resources

About