Cognitive Radio Networks for Delay-Sensitive Applications: Games and Learning
We have witnessed an explosion in wireless video traffic in recent years. Video applications are bandwidth intensive and delay sensitive and hence require efficient utilization of spectrum resources. Born to utilize wireless spectrum more efficiently, cog
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Yuanzhang Xiao and Mihaela van der Schaar
Contents Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Multimedia Applications over Cognitive Radio Networks . . . . . . . . . . . . . . . . . . . . . . . . . . Theoretical Frameworks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . General Model for Video Applications over Cognitive Radio . . . . . . . . . . . . . . . . . . . . . . . . . The General Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . An Example Packet-Level Video Transmission Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Design Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Optimal Foresighted Video Transmission . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Decoupling of The Users’ Decision Problems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Optimal Decentralized Video Transmission Strategy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Optimal Packet Scheduling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Learning Unknown Dynamics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Strategy-Proof Resource Allocation Mechanisms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Conclusion and Future Directions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Further Reading . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
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Y. Xiao () Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA e-mail: [email protected] M. van der Schaar Oxford – Man Institute of Quantitative Finance (OMI), Oxford, UK Department of Engineering Science, University of Oxford, Oxford, UK e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2019 W. Zhang (ed.), Handbook of Cognitive Radio, https://doi.org/10.1007/978-981-10-1394-2_28
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Y. Xiao and M. van der Schaar
Abstract
We have witnessed an explosion in wireless video traffic in recent years. Video applications are bandwidth intensive and delay sensitive and hence require efficient utilization of spectrum resources. Born to utilize wireless spectrum more efficiently, cognitive radio networks are promising candidates for
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