arrow
返回

Multi-Access Edge Computing Resource Slice Allocation: A Review

delete2024-01-01
delete0
delete
OA
AI
F
Faezeh Bahramisirat
M
Mark Gregory *
S
Shuo Li
DOI:10.1109/ACCESS.2024.3515077delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The global deployment of fifth generation mobile cellular (5G) and beyond (5GB) communication systems has accelerated the growth of the Internet of Things (IoT) and the Internet of Everything (IoE). New applications and services that add complexity to the network, and require low latency, have necessitated new architectures that facilitate dynamic resource allocation. The network edge is changing, as Multi-Access Edge Computing (MEC) is deployed with new responsive designs that include dynamic resource slice allocation that supports the varying needs of new and innovative applications and services. Augmented reality, extended reality and virtual reality applications are key drivers for the changing network architecture. IoT and IoE data aggregation and analysis at the network edge has required new approaches to designing edge network architectures that achieve seamless access anywhere and anytime, ultra-low latency, edge computing and storage, and ultra-high bandwidth. MEC and Network Slicing (NS) are evolving to provide a key part of the solution to the new challenges. MEC allows operators to connect user devices to edge cloud computing and storage systems with low latency and high bandwidth. However, a practical configuration is required to facilitate cloud-based applications and services at the network edge and to address end-user demands. The MEC resources may be flexibly and dynamincally partitioned into separate slices. This paper will review how the integration of MEC and NS can be utilised for efficient resource allocation in edge networks. This article comprehensively reviewed the architecture of network slicing and edge computing. A review of MEC and NS in support of 5G and 5GB has been included and current challenges identified. This article aims to serve as an insightful guide to inspire further research into 5GB communication systems and edge computing.
Keyword:
Resource management
5G mobile communication
Network slicing
Ultra reliable low latency communication
Radio access networks
Network function virtualization
Internet of Things
Cloud computing
Surveys
Reviews
multi-access edge computing
5G
6G
resource allocation
radio access network

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

暂无机构信息
引用论文

引用论文

SlicedRAN: Service-Aware Network Slicing Framework for 5G Radio Access Networks
err2022-06-01
err24
errOAAI
errOjaghi, Behnam; Adelantado, Ferran; Antonopoulos, Angelos; Verikoukis, Christos
err分享
err收藏
Aberrant reward processing in Parkinson's disease is associated with dopamine cell loss
err2012-02-01
err0
PREAI
errEsther Aarts; Rick C. Helmich; Marcel J.R. Janssen; Wim J.G. Oyen; Bastiaan R. Bloem; Roshan Cools
err分享
err收藏
An autonomous 16 mm/sup 3/ solar-powered node for distributed wireless sensor networks用于分布式无线传感器网络的自治16毫米/sup3/太阳能节点
err2024-10-30
err0
PREAI
errB.A. Warneke; M.D. Scott; B.S. Leibowitz; Lixia Zhou; C.L. Bellew; J.A. Chediak; J.M. Kahn; B.E. Boser; K.S.J. Pister
err分享
err收藏
Cultural Intelligence
err2015-04-20
err0
PREAI
errSoon Ang; Linn Van Dyne; Thomas Rockstuhl
err分享
err收藏
A Survey of Resource Management Toward 5G Radio Access Networks
err2016-01-01
err194
PREAI
errOlwal, Thomas O.; Djouani, Karim; Kurien, Anish M.
err分享
err收藏
Edge Computing in 5G: A Review
err2019-01-01
err224
errOAAI
errHassan, Najmul; Yau, Kok-Lim Alvin; Wu, Celimuge
err分享
err收藏
Toward Slicing-Enabled Multi-Access Edge Computing in 5G
err2020-03-01
err58
PREAI
errKsentini, Adlen; Frangoudis, Pantelis A.
err分享
err收藏
Intelligent Network Slicing With Edge Computing for Internet of Vehicles
err2021-01-01
err8
errOAAI
errDu, Ping; Nakao, Akihiro; Zhong, Lei; Onishi, Ryokichi
err分享
err收藏
err分享
err收藏
The GAIN-C study (BP25438): Randomized phase II trial of RG7160 (GA201) plus FOLFIRI, compared to cetuximab plus FOLFIRI or FOLFIRI alone in second-line KRAS wild type (WT) or mutant metastatic colorectal cancer (mCRC).
err2012-05-20
err0
PREAI
errAndres Cervantes-Ruiperez; Ben Markman; Salvatore Siena; Carles Pericay; Giuseppe Aprile; John A. Bridgewater; Antonio Cubillo; Ashita Marie Waterston; Rocio Garcia-Carbonero; Mark Kozloff; Joseph James McKendrick; Leslie M. Samuel; Jose Alejandro Perez-Fidalgo; Andrew H. Strickland; Katia Bencardino; Irene Moya; Stefania Eufemia Lutrino; Christoph Mancao; Luigi Manenti; Josep Tabernero
err分享
err收藏
学者 查看更多内容