5G网络切片中的资源供应和利用:最新进展、挑战和开放问题综述

S. Asakipaam, J. J. Kponyo, K. Gyasi
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引用次数: 0

摘要

–现代电信网络对更高带宽和更低延迟的需求不断增加,促使人们探索在下一代5G网络中更有效地满足这些要求的网络切片方法。尽管学术界对网络切片中的资源分配和管理非常感兴趣,但现有的研究是分散和零散的。本研究对5G网络切片中的资源分配和优化技术的最新研究进行了分类和评估。它还展示了先进的机器学习技术如何支持切片无线网络中的资源管理。本文全面概述和分析了5G网络切片中资源分配和管理的当前解决方案,概述了开放的研究挑战,并为该领域的研究人员和工程师提出了未来的研究方向
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Resource Provisioning and Utilization in 5G Network Slicing: A Survey of Recent Advances, Challenges, and Open Issues
– The increasing demands for higher bandwidth and lower latency in modern telecommunications networks have led to the exploration of network slicing as a means to meet these requirements more efficiently in next-generation 5G networks. Despite substantial academic interest in resource allocation and management in network slicing, existing research is dispersed and fragmented. This study presents a categorization and assessment of the latest research on resource allocation and optimization techniques in 5G network slicing. It also shows how advanced machine learning techniques can support resource management in sliced wireless networks. The present paper offers a complete overview and analysis of current solutions for resource allocation and management in 5G network slicing, outlines open research challenges, and suggests future research directions for researchers and engineers in this field
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来源期刊
International Journal of Computer Networks and Applications
International Journal of Computer Networks and Applications Computer Science-Computer Science Applications
CiteScore
2.30
自引率
0.00%
发文量
40
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