[en] This survey provides a comprehensive analysis of the integration of Reconfigurable Intelligent Surfaces (RIS) with edge computing, underscoring RIS's critical role in advancing wireless communication networks. The examination begins by demystifying edge computing, contrasting it with traditional cloud computing, and categorizing it into several types. It further delves into advanced edge computing models like Multi-Access Edge Computing (MEC), Vehicle Fog Computing (VFC), and Vehicle Edge Computing (VEC) and challenges. Progressing deeper, the survey explores RIS technology, categorizing it into passive, active, and hybrid RIS, and offers an in-depth analysis of Beyond Diagonal RIS (BD-RIS), including reflective, transmissive, and Simultaneous Transmit and Reflect (STAR) modes. Subsequently, the study assesses RIS's applications within edge computing, revealing its diverse use cases and strategies for performance analysis. The discussion comprises how RIS-driven computation can elevate rates, reduce latency, and contribute to an eco-friendly edge computing approach through better Energy Efficiency (EE). The survey also scrutinizes RIS's role in bolstering security within edge computing. To aid comprehension, each subsection is complemented by summary tables that meticulously elaborate on, compare, and evaluate the literature, focusing on aspects like system models, scenarios, RIS details, Channel State Information (CSI), offloading types, employed schemes, methodologies, and proposed solutions. This organized approach ensures a cohesive and thorough exploration of the survey's diverse topics. By illustrating the synergy between RIS and edge computing, the study provides valuable insights or lessons learned for enhancing wireless networks, paving the way for future breakthroughs in communication technologies. Before conclusion, the survey also identifies ongoing challenges and future research directions in RIS-assisted edge computing, emphasizing the vast potential of this field.
Disciplines :
Sciences informatiques
Auteur, co-auteur :
Ahmed, Manzoor; School of Computer and Information Science, Hubei Engineering University, Xiaogan City, China ; Institute for AI Industrial Technology Research, Hubei Engineering University, Xiaogan City, China
Raza, Salman; Department of Computer Science, National Textile University Faisalabad, Pakistan
Soofi, Aized Amin; Department of Computer Science, National University of Modern Languages Faisalabad, Pakistan
Khan, Feroz; Balochistan University of Information Technology Engineering & Management Sciences Quetta, Pakistan
KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Xu, Fang; School of Computer and Information Science, Hubei Engineering University, Xiaogan City, China ; Institute for AI Industrial Technology Research, Hubei Engineering University, Xiaogan City, China
CHATZINOTAS, Symeon ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom ; Fellow, IEEE
Dobre, Octavia A.; Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University, St. John's, Canada ; Fellow, IEEE
Han, Zhu; Department of Electrical and Computer Engineering at the University of Houston, Houston, United States ; Department of Computer Science and Engineering, Kyung Hee University, Seoul, South Korea ; Fellow, IEEE ; Fellow, IEEE
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
A survey on reconfigurable intelligent surfaces assisted multi-access edge computing networks: State of the art and future challenges
This research was supported by the MOE (Ministry of Education of China) Project of Humanities and Social Sciences (23YJAZH169), the Hubei Provincial Department of Education Outstanding Youth Scientific Innovation Team Support Foundation (T2020017).
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