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A database-assisted TV white space network can achieve the goal of greencognitive communication by effectively reducing the energy consumption incognitive communications. The success of such a novel network relies on aproper business model that provides incentives for all parties involved. Inthis paper, we propose an integrated spectrum and information market for adatabase-assisted TV white space network, where the geo-location databaseserves as both the spectrum market platform and the information marketplatform. We study the interactions among the database, the spectrum licensee,and unlicensed users by modelling the system as a three-stage sequentialdecision process. In Stage I, the database and the licensee negotiate regardingthe commission for the licensee to use the spectrum market platform. In StageII, the database and the licensee compete for selling information or channelsto unlicensed users. In Stage III, unlicensed users determine whether theyshould buy exclusive usage right of licensed channels from the licensee orinformation regarding unlicensed channels from the database. Analyzing such athree-stage model is challenging due to the co-existence of both positive andnegative network externalities in the information market. Despite of this, weare able to characterize how the network externalities affect the equilibriumbehaviors of all parties involved. We analytically show that in this integratedmarket, the licensee can never get a market share more than half. Our numericalresults further show that the proposed integrated market can improve thenetwork profit up to 87%, compared with a pure information market.

An Integrated Spectrum and Information Market for Green Cognitive Communications