Abstract:

As for the execution of dynamic resource allocation and pricing, the theory of non-complete information is applied to model the interaction between the service provider and the user. The proof of the existence and uniqueness of Bayes Equilibrium in theory presents that using this model, the service provider could reach the optimal pricing policy, while the user could reach the optimal selection of the bandwidth purchased. Based on the proposed model, a network resource allocation and pricing algorithm based on user demand intensity is designed. The simulation shows that it could enhance the performance of the resource utility efficiency and the whole social interest, compared with the static resource allocation method with single pricing.

Key words: convergence system, resource allocation, pricing model, game theory, Bayes equilibrium