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Cloud-Assisted Real-Time Spectrum Trading and Auctioning System

Mohamed El-Refaey, Norhan Magdi, and Hazem Abd El-Megeed
Middle East Mobile Innovation Center (Intel labs), Cairo, Egypt, Intel Corp
Abstract—During the past twenty years lots of new technologies and applications in the wireless communications domain were developed. That led to huge data explosion and accordingly significant wireless spectrum usage rates that degraded the quality of services that should be offered to end-users. Hence, there has been a need for new systems that deal with the wireless spectrum in an efficient way to get the maximum benefit of this scarce resource. In this paper we propose a system that simulates the dynamic spectrum allocation in the context of an auction-based spectrum trading system. This system utilizes cloud technologies and infrastructure to fulfill spectrum requests on real-time basis. This spectrum trading system is providing an efficient way to utilize spectrum resources. This patented system is illustrated in terms of algorithms and proof of concept supported with examples to show the dynamics of allocation and de-allocation of spectrum. Python and Matlab were used to develop the concept and illustrate the graphs and results.

Index Terms—dynamic spectrum allocation DSA, cloud spectrum services, spectrum trading, spectrum auctions

Cite: Mohamed El-Refaey, Norhan Magdi, and Hazem Abd El-Megeed, "Cloud-Assisted Real-Time Spectrum Trading and Auctioning System," Lecture Notes on Information Theory, Vol. 2, No. 1, pp. 7-12, March 2014. doi: 10.12720/lnit.2.1.7-12
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