针对异构网络融合中的终端聚合重构模式,讨论了在付费激励机制下如何通过聚合资源提供者的动态定价来激励终端间的高效合作,引导系统资源分配的全局自治优化.提出信息不完全情况下以人工免疫系统自适应控制模型为基础的自主定价方法(AISMAP).仿真结果表明,该方法能提高系统整体的资源收益,并能引导带宽资源分配自治实现全局均衡.
Aggregation reconfiguration assisted by the cooperation of terminals is a new paradigm for heterogeneous networks convergence.The market-based incentive pay mechanism is investigated,and dynamic pricing is used to promote global optimization on resource allocation autonomously.With the consideration that the pricing decision will confront incomplete information,an adaptive-control-based pricing solution based on artificial immune system is proposed.Experiment shows that the artificial immune system model based automatic pricing(AISMAP)algorithm can improve resource utilization of whole system and autonomously guide the traffic resources allocation toward global balance.