Distributed Spectrum Resource Allocation via Stochastic Learning in Potential Games
Author:
Affiliation:
1. Qian Xuesen Laboratory of Space Technology, China Academy of Space Technology,Beijing,China
2. Flying College Beihang University,Beijing,China
Funder
National Natural Science Foundation of China (NSFC)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10450150/10449968/10450236.pdf?arnumber=10450236
Reference15 articles.
1. Decision-Theoretic Distributed Channel Selection for Opportunistic Spectrum Access: Strategies, Challenges and Solutions
2. Multiuser Opportunistic Spectrum Access in cognitive radio networks: An optimal stopping approach with Spectrum Partition
3. An Adaptive Stopping Rule for Distributed Opportunistic Spectrum Access Systems with Multi-channel and Multi-user
4. Aggregation of multi-armed bandits learning algorithms for opportunistic spectrum access
5. Securing hybrid channel access cognitive radio networks with energy harvesting
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