Multi-Agent Multi-Armed Bandit Learning for Offloading Delay Minimization in V2X Networks
Author:
Affiliation:
1. School of Information and Communication Technology, Hanoi University of Science and Technology,Hanoi,Vietnam
2. Graduate School of Engineering, Chiba University,Chiba,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9741746/9741859/09742214.pdf?arnumber=9742214
Reference16 articles.
1. Modeling and Minimizing Latency in Three-tier V2X Networks
2. Joint Computation Offloading and URLLC Resource Allocation for Collaborative MEC Assisted Cellular-V2X Networks
3. Regional Intelligent Resource Allocation in Mobile Edge Computing Based Vehicular Network
4. Multi-Player Multi-Armed Bandits for Stable Allocation in Heterogeneous Ad-Hoc Networks
5. Stochastic Network Utility Maximization with Unknown Utilities: Multi-Armed Bandits Approach
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3. MANTRA: an Edge-Computing Framework based on Multi-Armed Bandit for Latency- and Energy-aware Job Offloading in Vehicular Networks;2023 IEEE 9th International Conference on Network Softwarization (NetSoft);2023-06-19
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