Cognitive information metrics for cognitive wireless networks  

作　　者：Zhiyong Feng Zhiqing Wei Qixun Zhang Ping Zhang 

机构地区：[1]Key Laboratory of Universal Wireless Communications,Ministry of Education,Wireless Technology Innovation Institute (WTI),Beijing University of Posts and Telecommunications

出　　处：《Chinese Science Bulletin》2014年第17期2057-2064,共8页

基　　金：supported by the National Natural Science Foundation of China (61227801,61201152,61121001);the Major State Basic Research Development Program of China (973 Program,2009CB320400);the National Science and Technology Major Project (2012ZX03003006);the Program for New Century Excellent Talents in University (NCET-01-0259);the Fundamental Research Funds for the Central Universities (2013RC0106)

摘　　要：Considering the dynamic changes and uncertainty features of the radio environment in cognitive wireless networks(CWNs),the environment cognition ability is critical for the performance evaluation of CWNs design and optimization.However,there are no effective metrics to evaluate the ability and gain of information cognition in CWNs from an information theory perspective.Therefore,the novel cognitive information concept is proposed and defined as a metric to evaluate the uncertainty of both the internal and external environments of one system that can be removed by other systems or nodes using cognitive radio techniques.As an intelligent wireless communication system that is aware of its surrounding radio,network,and user multi-domains environment,the more cognitive information it achieves,the higher level cognitive capability it is.In this paper,we define and analyze the mathematical features of cognitive information.Results reveal that the increase of cognitive information can improve the spectrum efficiency and reduce the interference probability simultaneously in CWNs.Thus cognitive information can be regarded as a metric for CWNs optimization.Finally,we apply the theory of cognitive information in the parameters optimization in energy detection and cooperative spectrum sensing.Considering the dynamic changes and uncer- tainty features of the radio environment in cognitive wireless networks （CWNs）, the environment cognition ability is critical for the performance evaluation of CWNs design and optimization. However, there are no effective metrics to evaluate the ability and gain of information cognition in CWNs from an information theory perspec- tive. Therefore, the novel cognitive information concept is proposed and defined as a metric to evaluate the uncer- tainty of both the internal and external environments of one system that can be removed by other systems or nodes using cognitive radio techniques. As an intelligent wireless communication system that is aware of its surrounding radio, network, and user multi-domains environment, the more cognitive information it achieves, the higher level cognitive capability it is. In this paper, we define and analyze the mathematical features of cognitive informa- tion. Results reveal that the increase of cognitive infor- mation can improve the spectrum efficiency and reduce the interference probability simultaneously in CWNs. Thus cognitive information can be regarded as a metric for CWNs optimization. Finally, we apply the theory of cog- nitive information in the parameters optimization in energy detection and cooperative spectrum sensing.

关 键 词：信息理论 无线网络 度量 无线通信系统 无线电环境 高频谱效率 认知能力 参数优化 

分 类 号：TN925[电子电信—通信与信息系统]