Combinatorial Auction with Time-Frequency Flexibility in Cognitive Radio Networks
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.