Thompson Sampling-Based Dynamic Spectrum Access in Non-Stationary Environments
Author:
Affiliation:
1. School of Electronic Science and Engineering, Nanjing University, Nanjing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture
Link
http://xplorestaging.ieee.org/ielx7/6687307/10146027/10018417.pdf?arnumber=10018417
Reference32 articles.
1. An Order Optimal Policy for Exploiting Idle Spectrum in Cognitive Radio Networks
2. Distributed Learning in Multi-Armed Bandit With Multiple Players
3. Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret
4. Distributed Stochastic Online Learning Policies for Opportunistic Spectrum Access
5. Adaptively tracking the best bandit arm with an unknown number of distribution changes;auer;Proc Annu Conf Learn Theory,2019
Cited by 2 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. Schwarz Information Criterion Based Thompson Sampling for Dynamic Spectrum Access in Non-Stationary Environment;IEEE Communications Letters;2024-03
2. Listen-After-Collision Mechanism for Dynamic Spectrum Access Using Deep Q-Network With an Improved Thompson Sampling Algorithm;IEEE Internet of Things Journal;2023
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