Intelligent spectrum allocation based on user behavior patterns

A non-transitory machine-accessible medium that provides instructions, which when accessed, cause a machine to perform operations comprising:

• maintaining a database operable to store information associated with at least one spectrum asset, wherein the stored information includes dynamic spectrum availability from spectrum holders advertising their spectrum for rent;
• apportioning the spectrum for rent in response to knowledge information about a user request and a past behavior pattern of the user;
• wherein if a request for future spectrum is expected from the user then the database will negotiate with the primary spectrum holders for the future spectrum;
• wherein the knowledge information is a result of a learning engine;
• wherein the learning engine is selected from a group consisting of markov model, genetic algorithm, neural network, cluster analysis, regression analysis, fuzzy logic, or a combination thereof.

An apparatus comprising:

• at least one processor;
• and
• at least one memory including computer program code for one or more programs,
• the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,
• cause, at least in part, information corresponding to one or more available spectrum services provided by one or more spectrum service holders to be stored in a cloud spectrum service database, the information comprising one or more spectrum sharing criteria respectively associated with the one or more available spectrum services, the one or more spectrum sharing criteria being provided by the one or more spectrum service holders;
• process a request from a user for spectrum sharing to cause, at least in part, a determination to share one or more of the one or more available spectrum services with a source of the request for spectrum sharing based, at least in part, on a matching of the one or more spectrum sharing criteria stored in the cloud spectrum service database and one or more service criteria associated with the source of the request for spectrum sharing;
• and
• cause, at least in part, one or more of the one or more available spectrum services to be allocated to the source of the request for spectrum sharing based, at least in part, on knowledge information about a user request and a past behavior pattern of the user;
• wherein if a request for future spectrum is expected from the user then the database will negotiate with primary spectrum holder for the future spectrum;
• wherein the knowledge information is a result of a learning engine;
• wherein the learning engine is selected from a group consisting of markov model, genetic algorithm, neural network, cluster analysis, regression analysis, fuzzy logic, or a combination thereof.