RAN Resource Slicing in 5G Using Multi-Agent Correlated Q-Learning
Author:
Funder
Canada Research Chairs
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9569244/9569245/09569358.pdf?arnumber=9569358
Cited by 32 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. AIaaS for ORAN-based 6G Networks: Multi-time Scale Slice Resource Management with DRL;ICC 2024 - IEEE International Conference on Communications;2024-06-09
2. Jamming Attacks and Mitigation in Transfer Learning Enabled 5G RAN Slicing;ICC 2024 - IEEE International Conference on Communications;2024-06-09
3. Novel Adaptive Multi-User Multi-Services Scheduling to Enhance Throughput in 5G-Advanced and Beyond;IEEE Transactions on Network and Service Management;2024-04
4. Mobility aware and energy-efficient federated deep reinforcement learning assisted resource allocation for 5G-RAN slicing;Computer Communications;2024-03
5. DRL-Based Latency-Aware Network Slicing in O-RAN with Time-Varying SLAs;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19
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