A General Equilibrium Model for Industries with Price and Service Competition
Operations Research
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cognitive Radio Technology (Communications Engineering)
Cognitive Radio Technology (Communications Engineering)
Challenges of real-time secondary usage of spectrum
Computer Networks: The International Journal of Computer and Telecommunications Networking
A stackelberg game for power control and channel allocation in cognitive radio networks
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Business Model Specific Charging Mechanism in Cognitive Radio
SEAA '08 Proceedings of the 2008 34th Euromicro Conference Software Engineering and Advanced Applications
IEEE Transactions on Wireless Communications - Part 1
IEEE Spectrum
IEEE Spectrum
Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency
IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
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The traditional static spectrum access approach, which assigns a fixed portion of the spectrum to a specific license holder for exclusive use, is unable to manage the spectrum efficiently any longer. In an effort to improve the efficiency of its usage, alternative spectrum allocation scenarios are being proposed. One of these technologies is the Dynamic Spectrum Access which enables wireless users to share a wide range of available spectrum in an opportunistic manner. In this paper, we study an architecture for a competitive spectrum exchange marketplace, a theoretic base, and the empirical work for spectrum price formation. The competitive spectrum exchange marketplace architecture considers short term sub-lease of unutilized spectrum bands to different service providers. Our proposed pricing model applies game theory as its mathematical base. The Nash equilibrium point tells the spectrum holders the ideal price values where profit is maximized at the highest level of customer satisfaction. Our empirical results prove that the service providers' demand depends on the price and QoS of that band as well as the price and QoS offering of its competitors.