Scheduling Algorithms for 5G Networks and Beyond: Classification and Survey
Author:
Affiliation:
1. Laboratory of Artificial Intelligence, Data Sciences and Emerging Systems, Sidi Mohammed Ben Abdellah University, Fez, Morocco
2. IMAGE Laboratory, Moulay Ismail University, Meknes, Morocco
Funder
National Center for Scientific and Technical Research (CNRST) through the Research Excellence Scholarships Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09773317.pdf?arnumber=9773317
Reference117 articles.
1. Comparative analysis of scheduling algorithms for radio resource allocation in future communication networks
2. 5G New Radio Evaluation Against IMT-2020 Key Performance Indicators
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