Dynamic Spectrum Auction With Time Optimization in Cognitive Radio Networks
Dynamic spectrum auction has been considered as one of potential approaches on spectrum allocation in cognitive radio networks. As an modified version of traditional static or quasi-static spectrum auction, dynamic spectrum auction should not only increase the auction revenue of the owner of spectrum, but also improve spectrum utilization on fine time granularity. The authors propose a Dynamic Spectrum auction algorithm with Time Optimization (DSA-TO) in an 802.22 network. First, the effects of auction period on auction revenue and spectrum utilization are discussed and optimized. Then they give a complete spectrum auction algorithm where an adaptive reserve price is used to balance the revenue and utilization of spectrum auction.