Conjecture-based channel selection game for delay-sensitive users in multi-channel wireless networks
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
Cooperative cognitive radio with priority queueing analysis
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Spectrum management techniques with QoS provisioning in cognitive radio networks
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Average waiting time of packets with different priorities in cognitive radio networks
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Spectrum auction games for multimedia streaming over cognitive radio networks
IEEE Transactions on Communications
Computers and Operations Research
Non-cooperative spectrum access: the dedicated vs. free spectrum choice
MobiHoc '11 Proceedings of the Twelfth ACM International Symposium on Mobile Ad Hoc Networking and Computing
A fair spectrum sharing approach in Cognitive Radio Networks
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Queue Model Analysis for Spectrum-Sharing Cognitive Systems Under Outage Probability Constraint
Wireless Personal Communications: An International Journal
A two-step resource allocation procedure for LTE-based cognitive radio network
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In this paper, we propose a dynamic channel-selection solution for autonomous wireless users transmitting delay-sensitive multimedia applications over cognitive radio networks. Unlike prior works that seldom consider the requirement of the application layer, our solution explicitly considers various rate requirements and delay deadlines of heterogeneous multimedia users. Note that the users usually possess private utility functions, application requirements, and distinct channel conditions in different frequency channels. To efficiently manage available spectrum resources in a decentralized manner, information exchange among users is necessary. Hence, we propose a novel priority virtual queue interface that determines the required information exchanges and evaluates the expected delays experienced by various priority traffics. Such expected delays are important for multimedia users due to their delay-sensitivity nature. Based on the exchanged information, the interface evaluates the expected delays using priority queuing analysis that considers the wireless environment, traffic characteristics, and the competing users' behaviors in the same frequency channel. We propose a dynamic strategy learning (DSL) algorithm deployed at each user that exploits the expected delay and dynamically adapts the channel selection strategies to maximize the user's utility function. We simulate multiple video users sharing the cognitive radio network and show that our proposed solution significantly reduces the packet loss rate and outperforms the conventional single-channel dynamic resource allocation by almost 2 dB in terms of video quality.