Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey
By Shimin Gong, Xiao Lu, Dinh Thai Hoang, Dusist Niyato, Lei Shu, Dong In Kim, Ying-Chang Liang. IEEE Communications Surveys and Tutorials, 2019
908 citations recorded by the source corpus.
This paper presents a literature review on recent applications and design aspects of the intelligent reflecting surface (IRS) in the future wireless networks. Conventionally, the network optimization has been limited to transmission control at two endpoints, i.e., end users and network controller. The fading wireless channel is uncontrollable and becomes one of the main limiting factors for performance improvement. The IRS is composed of a large array of scattering elements, which can be individually configured to generate additional phase shifts to the signal reflections. Hence, it can actively control the signal propagation properties in favor of signal reception, and thus realize the notion of a smart radio environment. As such, the IRS’s phase control, combined with the conventional transmission control, can potentially bring performance gain compared to wireless networks without IRS. In this survey, we first introduce basic concepts of the IRS and the realizations of its reconfigurability. Then, we focus on applications of the IRS in wireless communications. We overview different performance metrics and analytical approaches to characterize the performance improvement of IRS-assisted wireless networks. To exploit the performance gain, we discuss the joint optimization of the IRS’s phase control and the transceivers’ transmission control in different network design problems, e.g., rate maximization and power minimization problems. Furthermore, we extend the discussion of IRS-assisted wireless networks to some emerging use cases. Finally, we highlight important practical challenges and future research directions for realizing IRS-assisted wireless networks in beyond 5G communications.
Subfields: Aerospace Engineering, Electrical and Electronic Engineering, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/fb7ced0a032b059a3158074182f5bde1c5ff9702
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In Aerospace Engineering
- Yuanwei Liu
- M. Di Renzo
- Mohamed-Slim Alouini
- Merouane Debbah
- Chau Yuen
- Xidong Mu
- Naofal Al-Dhahir
- Rui Zhang
In Electrical and Electronic Engineering
- Yuanwei Liu
- Merouane Debbah
- Xidong Mu
- M. Di Renzo
- Mohamed-Slim Alouini
- Chau Yuen
- Naofal Al-Dhahir
- Alessio Zappone
In Ocean Engineering
- Naofal Al-Dhahir
- Mohamed-Slim Alouini
- Merouane Debbah
- Chau Yuen
- M. Di Renzo
- Jiaqi Xu
- Xiao Liu
- Yuanwei Liu
Citations in the corpus
- Reconfigurable Intelligent Surfaces: Principles and Opportunities (2020, background): “[32] surveyed recent research works on RISassisted wireless networks and discussed emerging applications and implementation challenges of RISs.”
- An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless Systems (2021, neutral): “cent developments in this area, including the technical challenges [33], operation principles [34], transmission design and applications [35], electromagnetic modeling [36], practical de-”
- Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead (2020, background): “papers on the application of RISs to the design of wireless networks have been published [26]–[28], [45]–[55].”