基于人工智能技术的认知无线网络重构决策算法  

Reconfiguration decision making based on artificial intelligence technology in cognitive radio networks

作　　者：贺倩[1] 冯志勇[1] 张平[1] 贺倩 

机构地区：[1]北京邮电大学无线新技术研究所,北京100876 [2]北京邮电大学泛在网络教育部重点实验室,北京100876

出　　处：《通信学报》2012年第7期96-102,共7页Journal on Communications

基　　金：国家重点基础研究发展计划(“973”计划)基金资助项目(2009CB320400);国家科技重大专项(2010ZX03003-001-01);国家自然科学基金资助项目(61121001)~~

摘　　要：认知无线网络引入重构技术以实现对复杂时变环境的动态适应,为在认知无线网络中实现重构,提出了重构架构模型,并在此模型基础上进行重构决策算法的研究,提出了基于人工智能技术的重构决策算法。该决策算法包括了推理过程和学习过程,使重构技术在认知无线网络感知能力、推理能力和学习能力的帮助下实现了对环境的适应并同时维护和提升了系统性能。Cognitive wireless networks introduced the reconfiguration technologies to achieve the dynamically time-varying adaptation of the environment. A reconfiguration decision making model and reconfiguration decision algo- rithm based on the artificial intelligence technology were presented. The reconfiguration decision algorithm, which in- clude the reasoning and learning process with the help of the cognitive capabilities of awareness, reasoning and learning, could achieve adaptation of the environment and also maintain and enhance the system performance.

关 键 词：重构决策 认知无线网络 推理 学习 人工智能 

分 类 号：TN915.02[电子电信—通信与信息系统]