Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing
Author:
Affiliation:
1. School of Electrical Engineering and Computer Science, University of Ottawa
Funder
NSERC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001658.pdf?arnumber=10001658
Reference17 articles.
1. Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network Slicing
2. Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination
3. An optimal application-aware resource block scheduling in LTE
4. Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN)
5. Federated Deep Reinforcement Learning for User Access Control in Open Radio Access Networks
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