Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques
Type
ArticleAuthors
Alghamdi, Rawan
Alhadrami, Reem
Alhothali, Dalia
Almorad, Heba
Faisal, Alice
Helal, Sara
Shalabi, Rahaf
Asfour, Rawan
Hammad, Noofa
Shams, Asmaa
Saeed, Nasir
Dahrouj, Hayssam

Al-Naffouri, Tareq Y.

Alouini, Mohamed-Slim

KAUST Department
Center of Excellence for NEOM ResearchComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Office of the VP
Electrical Engineering Program
Physical Science and Engineering (PSE) Division
Academic Affairs
Date
2020-10-21Online Publication Date
2020-10-21Print Publication Date
2020Permanent link to this record
http://hdl.handle.net/10754/666092
Metadata
Show full item recordAbstract
This paper surveys the optimization frameworks and performance analysis methods for large intelligent surfaces (LIS), which have been emerging as strong candidates to support the sixth-generation wireless physical platforms (6G). Due to their ability to adjust the behavior of interacting electromagnetic (EM) waves through intelligent manipulations of the reflections phase shifts, LIS have shown promising merits at improving the spectral efficiency of wireless networks. In this context, researchers have been recently exploring LIS technology in depth as a means to achieve programmable, virtualized, and distributed wireless network infrastructures. From a system level perspective, LIS have also been proven to be a low-cost, green, sustainable, and energy-efficient solution for 6G systems. This paper provides a unique blend that surveys the principles of operation of LIS, together with their optimization and performance analysis frameworks. The paper first introduces the LIS technology and its physical working principle. Then, it presents various optimization frameworks that aim to optimize specific objectives, namely, maximizing energy efficiency, sum-rate, secrecy-rate, and coverage. The paper afterwards discusses various relevant performance analysis works including capacity analysis, the impact of hardware impairments on capacity, uplink/downlink data rate analysis, and outage probability. The paper further presents the impact of adopting the LIS technology for positioning applications. Finally, we identify numerous exciting open challenges for LIS-aided 6G wireless networks, including resource allocation problems, hybrid radio frequency/visible light communication (RF-VLC) systems, health considerations, and localization.Citation
Alghamdi, R., Alhadrami, R., Alhothali, D., Almorad, H., Faisal, A., Helal, S., … Alouini, M.-S. (2020). Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques. IEEE Access, 8, 202795–202818. doi:10.1109/access.2020.3031959Sponsors
This work was supported in part by the Center of Excellence for NEOM Research at the King Abdullah University of Science and Technology (KAUST).Journal
IEEE AccessarXiv
2006.06541Additional Links
https://ieeexplore.ieee.org/document/9229054/ae974a485f413a2113503eed53cd6c53
10.1109/ACCESS.2020.3031959
Scopus Count
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