Hybrid approach for spectrum bidding in wireless communications for maximizing the profit

Optimum allocation of spectrum and achieving the best revenue is highly desirable for electronic marketplaces. Currently static allocation of spectrum is underutilized. The majority of the researchers are working to achieve optimum allocation and better utilization of the spectrum. Selecting a better part of the spectrum for bidding is equally important part in the market to transfer the information with minimum errors. In this research we used the case-based reasoning (CBR) with automated collaborated filtering (ACF) for selecting the best part of the spectrum with an affordable price and allocate the spectrum through auctions (bidding for spectrum in open market)for better profit. A case-based reasoning algorithm is provided and a mathematical model for ACF is introduced for profit maximization. A genetic algorithm is used for optimum allocation of resource (spectrum).