NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Resource Allocation for Wireless Networks: Basics, Techniques, and Applications
Resource Allocation for Wireless Networks: Basics, Techniques, and Applications
Price dynamics in competitive agile spectrum access markets
IEEE Journal on Selected Areas in Communications
Economic Approaches for Cognitive Radio Networks: A Survey
Wireless Personal Communications: An International Journal
A fair cooperative content-sharing service
Computer Networks: The International Journal of Computer and Telecommunications Networking
Pricing-based decentralized spectrum access control in cognitive radio networks
IEEE/ACM Transactions on Networking (TON)
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The emerging IEEE 802.22-based wireless regional area network technology will use the same radio spectrum currently allocated for TV service. This standard will use the concept of cognitive radio based on dynamic spectrum access to provide wireless access services in a large coverage area. A brief overview of the current state of the IEEE 802.22 standard is provided with a particular emphasis on the spectrum management (i.e., spectrum sensing and dynamic spectrum access) in this standard. Key research issues related to spectrum trading among TV broadcasters, WRAN service providers, and IEEE 802.22-based cognitive radio users are identified. To this end, a hierarchical spectrum trading model is presented to analyze the interaction among WRAN service providers, TV broadcasters, and WRAN users. In this model a double auction is established among multiple TV broadcasters and WRAN service providers who sell and buy the radio spectrum (i.e., TV bands), respectively. Again, multiple WRAN service providers compete with each other by adjusting the service price charged to WRAN users. We propose a joint spectrum bidding and service pricing model for WRAN service providers to maximize their profits. A non-cooperative game is formulated to obtain the solution in terms of the number of TV bands and the service price of a service provider. Numerical results are presented on the performance of this joint spectrum bidding and pricing model.