Stochastic modelling and analysis: a computational approach
Stochastic modelling and analysis: a computational approach
Competitions and dynamics of duopoly wireless service providers in dynamic spectrum market
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks
IEEE Transactions on Mobile Computing
White space networking with wi-fi like connectivity
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Dynamic spectrum access in DTV whitespaces: design rules, architecture and algorithms
Proceedings of the 15th annual international conference on Mobile computing and networking
Optimal admission and eviction control of secondary users at cognitive radio HotSpots
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
A hierarchical spatial game over licenced resources
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
IEEE Communications Magazine
Application-aware dynamic spectrum access
Wireless Networks
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Wi-Fi 2.0 refers to Wi-Fi-like Internet access operating on whitespaces in the licensed spectrum using cognitive radio technology. Wi-Fi 2.0 is expected to provide better performance and larger coverage than today's Wi-Fi, thanks to the good propagation characteristics of the legacy spectrum such as TV bands. Wi-Fi 2.0 is modeled as a network consisting of an access point (called CR hotspot) and end-user terminals (CR devices) operated by a CR wireless service provider. In this article we focus on the economical perspective of Wi-Fi 2.0 and discuss various aspects in profit management of Wi-Fi 2.0 WSPs. In particular, we consider profit-maximizing optimal strategies in terms of customer admission/ eviction control and inter-WSP market competition. We first show that Wi-Fi 2.0 operates on time-varying spectrum availability due to the ON-OFF channel usage of legacy users, and advocate the necessity of customer eviction control upon appearance of legacy users. We also identify two types of WSP-WSP market competition in leasing the limited spectrum resources from the licensees and in enticing end customers with a competitive price. Then we enumerate the key factors affecting the profit of collocated WSPs, such as channel leasing cost, service tariff, QoS provisioning, and coexistence with legacy services. By examining Wi-Fi 2.0 from an economic point of view, we show its commercial value in developing next-generation CR applications that benefit both legacy and CR users.