TY - JOUR
T1 - Edge computing in future wireless networks
T2 - A comprehensive evaluation and vision for 6G and beyond
AU - Ergen, Mustafa
AU - Saoud, Bilal
AU - Shayea, Ibraheem
AU - El-Saleh, Ayman A.
AU - Ergen, Onur
AU - Inan, Feride
AU - Tuysuz, Mehmet Fatih
PY - 2024/8/17
Y1 - 2024/8/17
N2 - Future internet aims to function as a neutral in-network storage and computation platform, essential for enabling 6G and beyond wireless use cases. Information-Centric Networking and Edge Computing are key paradigms driving this vision by offering diversified services with fast response times across heterogeneous networks. This approach requires effective coordination to dynamically utilize resources like links, storage, and computation in near real-time within a non-homogenous and distributed computing environment. Additionally, networks must be aware of resource availability and reputational information to manage unknown and partially observed dynamic systems, ensuring the desired Quality of Experience (QoE). This paper provides a comprehensive evaluation of edge computing technologies, starting with an introduction to its architectural frameworks. We examine contemporary research on essential aspects such as resource allocation, computation delegation, data administration, and network management, highlighting existing research gaps. Furthermore, we explore the synergy between edge computing and 5G, and discuss advancements in 6G that enhance solutions through edge computing. Our study emphasizes the importance of integrating edge computing in future considerations, particularly regarding sustainable energy and standards.
AB - Future internet aims to function as a neutral in-network storage and computation platform, essential for enabling 6G and beyond wireless use cases. Information-Centric Networking and Edge Computing are key paradigms driving this vision by offering diversified services with fast response times across heterogeneous networks. This approach requires effective coordination to dynamically utilize resources like links, storage, and computation in near real-time within a non-homogenous and distributed computing environment. Additionally, networks must be aware of resource availability and reputational information to manage unknown and partially observed dynamic systems, ensuring the desired Quality of Experience (QoE). This paper provides a comprehensive evaluation of edge computing technologies, starting with an introduction to its architectural frameworks. We examine contemporary research on essential aspects such as resource allocation, computation delegation, data administration, and network management, highlighting existing research gaps. Furthermore, we explore the synergy between edge computing and 5G, and discuss advancements in 6G that enhance solutions through edge computing. Our study emphasizes the importance of integrating edge computing in future considerations, particularly regarding sustainable energy and standards.
KW - 5/6G
KW - Communication
KW - CROWN
KW - Edge computing
KW - IoT/ioE
KW - Latency
KW - Wireless communication
UR - http://www.scopus.com/inward/record.url?scp=85202205163&partnerID=8YFLogxK
U2 - 10.1016/j.icte.2024.08.007
DO - 10.1016/j.icte.2024.08.007
M3 - Review article
AN - SCOPUS:85202205163
SN - 2405-9595
JO - ICT Express
JF - ICT Express
ER -