Combinatorial Auction with Time-Frequency Flexibility in Cognitive Radio Networks

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With the ongoing growth of wireless communication services, the demand for radio spectrum increases dramatically. However, the spectrum resource is scarce because of the long-existed rigid license policy. Former studies show that from a time-spatial view, there are a large number of underutilized spectrum holes in the current wireless networks. To overcome the low-efficiency, Cognitive Radio (CR) networks was proposed. In this paper, the authors tackle the spectrum allocation problem in Cognitive Radio (CR) networks with time-frequency flexibility consideration using combinatorial auction. Different from all the previous works using auction mechanisms, they model the spectrum opportunity in a time-frequency division manner. This paper caters to much more flexible requirements from Secondary Users (SUs) and has very clear application meaning.