Artificial intelligence in perspective
Artificial intelligence in perspective
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
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Neural Computation
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IEEE Transactions on Signal Processing
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A survey of spectrum sensing algorithms for cognitive radio applications
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Spectrum trading in cognitive radio networks: A market-equilibrium-based approach
IEEE Wireless Communications
Competitive spectrum sharing in cognitive radio networks: a dynamic game approach
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications - Part 1
COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - Dynamic Spectrum Sharing: A Game Theoretical Overview
IEEE Communications Magazine
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
Dynamic spectrum access in open spectrum wireless networks
IEEE Journal on Selected Areas in Communications
Multi-Stage Pricing Game for Collusion-Resistant Dynamic Spectrum Allocation
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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In cognitive radio networks, an important issue is to share the detected available spectrum among different secondary users to improve the network performance. Although some work has been done for dynamic spectrum access, the learning capability of cognitive radio networks is largely ignored in the previous work. In this paper, we propose a reinforcement-learning-based double auction algorithm aiming to improve the performance of dynamic spectrum access in cognitive radio networks. The dynamic spectrum access process is modeled as a double auction game. Based on the spectrum access history information, both primary users and secondary users can estimate the impact on their future rewards and then adapt their spectrum access or release strategies effectively to compete for channel opportunities. Simulation results show that the proposed reinforcement-learning-based double auction algorithm can significantly improve secondary users' performance in terms of packet loss, bidding efficiency and transmission rate or opportunity access.