Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

被引:0
|
作者
Ateya A.A. [1 ]
Alhussan A.A. [2 ]
Abdallah H.A. [3 ]
Al duailij M.A. [2 ]
Khakimov A. [4 ]
Muthanna A. [5 ]
机构
[1] Department of Electronics and Communications Engineering, Zagazig University, Sharqia, Zagazig
[2] Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh
[3] Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh
[4] Department of Applied Probability and Informatics, Peoples' Friendship University of Russia (RUDN University), Moscow
[5] Center for Telecommunication Research, School of Postgraduate Studies & Research, Sri Lanka Technological Campus, Padukka
来源
关键词
5G; 6G; migration; mobile edge computing; offloading; quality of service;
D O I
10.32604/csse.2023.031841
中图分类号
学科分类号
摘要
Next-generation cellular networks are expected to provide users with innovative gigabits and terabits per second speeds and achieve ultra-high reliability, availability, and ultra-low latency. The requirements of such networks are the main challenges that can be handled using a range of recent technologies, including multi-access edge computing (MEC), artificial intelligence (AI), millimeterwave communications (mmWave), and software-defined networking. Many aspects and design challenges associated with the MEC-based 5G/6G networks should be solved to ensure the required quality of service (QoS). This article considers developing a complex MEC structure for fifth and sixth-generation (5G/6G) cellular networks. Furthermore, we propose a seamless migration technique for complex edge computing structures. The developed migration scheme enables services to adapt to the required load on the radio channels. The proposed algorithm is analyzed for various use cases, and a test bench has been developed to emulate the operator's infrastructure. The obtained results are introduced and discussed. © 2023 CRL Publishing. All rights reserved.
引用
收藏
页码:1775 / 1787
页数:12
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