Applications of Machine Learning in Resource Management for RAN-Slicing in 5G and Beyond Networks: A Survey-Reference-Cited by-同舟云学术

Applications of Machine Learning in Resource Management for RAN-Slicing in 5G and Beyond Networks: A Survey

Author:

Azimi Yaser¹^ORCID,Yousefi Saleh¹^ORCID,Kalbkhani Hashem²^ORCID,Kunz Thomas³^ORCID

Affiliation:

1. Department of Computer Engineering, Urmia University, Urmia, Iran

2. Faculty of Electrical Engineering, Urmia University of Technology, Urmia, Iran

3. Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference159 articles.

2. Inter-slice mobility management in 5G: Motivations, standard principles, challenges and research directions;sajjad;arXiv 2003 11343,2020

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3. Data-Driven Proactive Uplink Slicing Enabling Real-Time Control within an Open RAN Testbed;IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2024-05-20