A bio-inspired approach for cognitive radio networks

作     者：HE ZhiQiang NIU Kai QIU Tao SONG Tao XU WenJun GUO Li LIN JiaRu 

作者机构：Key Laboratoty of Universal Wireless CommunicationsMinistry of EducationBeijing University of Posts and TelecommunicationsBeijing 100876China 

出 版 物：《Chinese Science Bulletin》 (中国科学通报)

年 卷 期：2012年第57卷第28期

页      面：3723-3730页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 081001[工学-通信与信息系统] 

基　　金：supported by the National Basic Research Program of China (2009CB320401) Major Projects of the National Science and Technology of China (2012ZX03004005-002) National Natural Science Foundation of China (61171100 and 61171099) 

主　　题：无线电网络 仿生 网络架构 综合调查 数值模拟 蚁群算法 可用性 复杂性 

摘      要：The recent increasing interest in cognitive radio networks has motivated the study and development of new approaches capable of coping with the intrinsic challenges of this kind of network,such as dynamic spectrum availability,distributed and heterogeneous network architectures,and soaring *** bio-inspired approaches,with appealing characteristics such as autonomy,adaptation and collective intelligence of collaborative individuals,have been extensively *** paper presents a comprehensive survey of bio-inspired approaches for cognitive radio networks,emphasizing their domains of ***,ant colony optimization and particle warm optimization are further investigated with examples and numerical simulation.