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37th Annual IEEE Conference on Local Computer Networks
A differential game theoretic model for real-time spectrum pricing in cognitive radio networks
Clearwater Beach, FL, USA USA
October 22-October 25
ISBN: 978-1-4673-1565-4
Dong Hao, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan 819-0395
Atsushi Iwasaki, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan 819-0395
Makoto Yokoo, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan 819-0395
In cognitive radio networks, one key feature of spectrum trading is its short term or, even, real time, since the spectrum availability, quality, and price keep changing over time. Therefore, a spectrum pricing policy should be dynamically optimal. In this work, we address the real-time optimal pricing problem for primary users. Based on differential game model, we analyze the optimal pricing strategy for QoS-aware dynamic networks in which the secondary users' number and primary users' QoS level keep changing over time. Nash equilibrium is derived and an optimal pricing and QoS setting policy is formulated. Since the Nash equilibrium of our differential game based model deals with optimal pricing in each time instance, the real-time optimal pricing characteristic can be realized.
Index Terms:
Quality of service,Pricing,Games,Real-time systems,Analytical models,Optimized production technology,IEEE 802.11 Standards,Nash equilibrium,Cognitive radio networks,Spectrum trading,Demand and pricing,Differential game
Citation:
Dong Hao, Atsushi Iwasaki, Makoto Yokoo, "A differential game theoretic model for real-time spectrum pricing in cognitive radio networks," lcn, pp.236-239, 37th Annual IEEE Conference on Local Computer Networks, 2012
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