CMT-MQ: Multi-QoS Aware Adaptive Concurrent Multipath Transfer With Reinforcement Learning
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,State Key Laboratory of Networking and Switching Technology,Beijing,China,100876
Funder
National Natural Science Foundation of China (NSFC)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9823957/9824097/09824120.pdf?arnumber=9824120
Reference25 articles.
1. Context-Aware Adaptive Route Mutation Scheme: A Reinforcement Learning Approach
2. An Intelligent Route Mutation Mechanism against Mixed Attack Based on Security Awareness
3. Reliable Cybertwin-Driven Concurrent Multipath Transfer With Deep Reinforcement Learning
4. ReLeS: A Neural Adaptive Multipath Scheduler based on Deep Reinforcement Learning
5. OMNeT++
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1. QoS-Aware High Throughput Scheduling for Wireless Networks;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
2. URLM: Utilising reinforcement learning to schedule subflows in MPTCP;International Journal of Communication Systems;2023-05-31
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