认知融合网络中面向端到端效能的自主资源保障机制

项目名称： 认知融合网络中面向端到端效能的自主资源保障机制

项目编号： No.61201139

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电子学与信息系统

项目作者： 杨春刚

作者单位： 西安电子科技大学

项目金额： 25万元

中文摘要： 面向端到端效能的认知融合网络，以其认知性、自主性和融合性等特点引起广泛关注。探索面向端到端效能的资源保障机制，并实现多域认知资源的自主管控，可满足资源的多样需求、提高资源利用率和保障满意的用户体验。课题首先设计网络效用函数，形成认知融合网络的端到端效能表征体系；同时，提出面向端到端效能的认知效用双环资源保障机制并设计协议，实现资源信息完美交互。第二，统一构建兼顾效能和公平的资源合作博弈模型，并提出资源合作博弈的分布式算法，实现资源自主管控的端到端效能和公平性的最佳折中。最后，面向异构网络融合发展的大趋势，对认知融合网络中多域多维资源高度抽象，凝练出"资源流"的科学概念，提出基于资源流的自主资源保障机制和算法。本课题为认知融合网络的商用和异构网络的融合提供高效资源保障机制和理论支撑。

中文关键词： 自主资源管控；认知融合网络；端到端效能；博弈论；资源流

英文摘要： Cognitive composite networks have achieved a great research interest due to their typical characteristics of end-to-end-efficiency, cognition, autonomy and convergence. It is of great importance to guarantee the resource demands of multiple kinds of traffic and enhance the quality of user experience by exploring end-to-end-efficiency-oriented resources supporting mechanisms and implementing autonomous resource management and control for multi-dimensional resources in cognitive composite networks. The project will design suitable (network) utility functions from utility theory to form the unified characterization system of the end-to-end-efficiency. Based on the IEEE 1900.4 framework, resources supporting mechanisms and algorithms are proposed to guarantee the end-to-end-efficiency, which can effectively deal with the problems of information exchange between the terminal and network side and there lacking of a unified representation end-to-end-efficiency. Furthermore, we build a unified cooperative game model taking both the efficiency and fairness into account with the aid of the extended cooperative game theory of the classical Nash bargaining game. Then, we propose a distributed algorithm for resource cooperative game, to achieve the best compromise of end-to-end performance and fairness. Finally, with the dev

英文关键词： Autonomous resource management and control；Cognitive composite networks；End-to-end-efficiency；Game theory；Resource flows