DRL-Based Latency-Aware Network Slicing in O-RAN with Time-Varying SLAs
Author:
Affiliation:
1. University of Catania, CNIT Research Unit,Catania,Italy
2. Institute for the Wireless Internet of Things, Northeastern University,Boston,MA,U.S.A.
Funder
U.S. National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10555566/10555889/10556357.pdf?arnumber=10556357
Reference23 articles.
1. Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges
2. RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning
3. (2020) O-RAN Use Cases and Deployment Scenarios,2023
4. Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
5. ColO-RAN: Developing Machine Learning-based xApps for Open RAN Closed-loop Control on Programmable Experimental Platforms
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Colosseum: The Open RAN Digital Twin;IEEE Open Journal of the Communications Society;2024
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