IRS-Empowered 6G Networks: Deployment strategies, performance optimization, and future research directions

Naeem, Faisal, Kaddoum, Georges, Khan, Saud, Khan, Komal S. et Nadir, Adam. 2022. « IRS-Empowered 6G Networks: Deployment strategies, performance optimization, and future research directions ». IEEE Access, vol. 10. pp. 2169-3536.
Compte des citations dans Scopus : 5.

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Résumé

The performance of the envisioned 6G network is fundamentally constrained by the uncon- trollable and random wireless communication channel. Intelligent reflecting surfaces (IRSs) have emerged as one of the potential solutions to overcome this challenge by smartly controlling the incident signal to enhance the energy efficiency and spectrum efficiency of the 6G network. In addition, the future 6G network will incorporate several enabling technologies, including artificial intelligence and machine learning (AI/ML), integrated terrestrial and non-terrestrial (TNT) networks, multi-access edge computing (MEC), non-orthogonal multiple access (NOMA), and terahertz/millimeter wave (THz/mmWave) communication techniques. Therefore, this paper provides a contemporary and comprehensive overview of the envisioned IRS-empowered 6G networks from the perspective of its architecture, deployment strategy, integration of IRS technology with other 6G-enabling technologies, and physical layer security (PLS). Finally, we highlight design challenges and future research directions aimed at improving the 6G network performance.

Type de document:	Article publié dans une revue, révisé par les pairs
Professeur:	Professeur Kaddoum, Georges
Affiliation:	Génie électrique
Date de dépôt:	21 déc. 2022 21:55
Dernière modification:	05 janv. 2023 20:23
URI:	https://espace2.etsmtl.ca/id/eprint/26017

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