移动广播融合网络中的资源分配和定价模型

应用博弈论中不完全信息理论来解决资源动态分配和定价问题，对服务提供商和用户之间的交互关系进行建模；通过求解静态博弈贝叶斯均衡问题以获得服务提供商的最佳价格策略和用户对应的对服务带宽购买的最佳选择。基于该模型，提出了基于用户需求强度的动态资源分配和定价管理机制及其算法。仿真表明，该算法相比于静态单一定价资源分配方法在网络效用和资源使用率等方面都得到了较大提高。

Resource Allocation and Pricing Model in the Convergent Network of Mobile and Broadcast

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.