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Edge Computing in 5G: A Review

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TLDR
A taxonomy of edge computing in 5G is established, which gives an overview of existing state-of-the-art solutions of edge Computing in5G on the basis of objectives, computational platforms, attributes, 5G functions, performance measures, and roles.
Abstract
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.

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Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues

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A Survey on Beyond 5G Network With the Advent of 6G: Architecture and Emerging Technologies

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A survey on the 5G network and its impact on agriculture: Challenges and opportunities

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Collaborative Learning of Communication Routes in Edge-Enabled Multi-Access Vehicular Environment

TL;DR: A collaborative learning-based routing scheme for multi-access vehicular edge computing environment that employs a reinforcement learning algorithm based on end-edge-cloud collaboration to find routes in a proactive manner with a low communication overhead and is preemptively changed based on the learned information.
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5G-V2X: standardization, architecture, use cases, network-slicing, and edge-computing

TL;DR: This paper proposes the Optimizing of 5G with V2X, and analyzing the current V2x standards, introducing the development of5G, challenges, features, requirements, design, and technologies.
References
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Book ChapterDOI

Fog Computing and Its Role in the Internet of Things

TL;DR: This chapter argues that the above characteristics make the Fog the appropriate platform for a number of critical internet of things services and applications, namely connected vehicle, smart grid, smart cities, and in general, wireless sensors and actuators networks (WSANs).
Posted Content

A Survey on Mobile Edge Computing: The Communication Perspective

TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management and recent standardization efforts on MEC are introduced.
Journal ArticleDOI

Mobile Edge Computing: A Survey on Architecture and Computation Offloading

TL;DR: In this paper, the authors present a survey of the research on computation offloading in mobile edge computing (MEC), focusing on user-oriented use cases and reference scenarios where the MEC is applicable.
Journal ArticleDOI

The Promise of Edge Computing

TL;DR: The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud.
Posted Content

Living on the Edge: The Role of Proactive Caching in 5G Wireless Networks

TL;DR: This article explores one of the key enablers of beyond 4G wireless networks leveraging small cell network deployments, proactive caching, and proposes a mechanism whereby files are proactively cached during off-peak periods based on file popularity and correlations among user and file patterns.
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