Edge Computing in 5G: A Review

By Najmul Hassan, Kok-Lim Alvin Yau, Celimuge Wu. IEEE Access, 2019

297 citations recorded by the source corpus.

5G is the next generation cellular network that aspires to achieve substantial improvement on quality of service, such as higher throughput and lower latency. Edge computing is an emerging technology that enables the evolution to 5G by bringing cloud capabilities near to the end users (or user equipment, UEs) in order to overcome the intrinsic problems of the traditional cloud, such as high latency and the lack of security. In this paper, we establish a taxonomy of edge computing in 5G, which gives an overview of existing state-of-the-art solutions of edge computing in 5G on the basis of objectives, computational platforms, attributes, 5G functions, performance measures, and roles. We also present other important aspects, including the key requirements for its successful deployment in 5G and the applications of edge computing in 5G. Then, we explore, highlight, and categorize recent advancements in edge computing for 5G. By doing so, we reveal the salient features of different edge computing paradigms for 5G. Finally, open research issues are outlined.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/350352a67270bf968350db7789634d9d7bdcf36a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Anutusha Dogra
2. Shubha Jain
3. Rakesh Kumar Jha
4. Yusheng Ji
5. Kok-Lim Alvin Yau
6. Celimuge Wu

In Electrical and Electronic Engineering

1. Anutusha Dogra
2. Shubha Jain
3. Rakesh Kumar Jha
4. Yusheng Ji
5. Kok-Lim Alvin Yau
6. Celimuge Wu

Citations in the corpus

• A Survey on Beyond 5G Network With the Advent of 6G: Architecture and Emerging Technologies (2020, background): “In [70], the author has broadly reviewed the edge technology in the 5G network.”
• Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues (2020, background): “MEC is expected to incorporate FL in order to achieve the level of true intelligence in complex vehicular environments.”