Cooperative Edge Caching via Multi Agent Reinforcement Learning in Fog Radio Access Networks
Author:
Affiliation:
1. Southeast University,National Mobile Communications Research Laboratory,Nanjing,China,210096
2. University of Oulu,Centre for Wireless Communications,Oulu,Finland,90014
Funder
Research and Development
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838588.pdf?arnumber=9838588
Reference18 articles.
1. Deep Reinforcement Learning Approaches for Content Caching in Cache-Enabled D2D Networks
2. Cooperative Edge Caching via Federated Deep Reinforcement Learning in Fog-RANs
3. Multi-Agent Reinforcement Learning for Cooperative Edge Caching in Internet of Vehicles
4. Analysis and Optimization of Cache-Enabled Fog Radio Access Networks: Successful Transmission Probability, Fractional Offloaded Traffic and Delay
5. Cache Placement in Fog-RANs: From Centralized to Distributed Algorithms
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