通信学报 ›› 2012, Vol. 33 ›› Issue (Z2): 167-171.doi: 10.3969/j.issn.1000-436x.2012.z2.022

• 学术论文 • 上一篇    下一篇

基于信道系数的认知网络节点选择算法

郭金淮1,范科峰2,张素兵2   

  1. 1 94201部队,山东 济南 250002
    2 中国电子技术标准化研究院,北京 100007
  • 出版日期:2012-11-25 发布日期:2017-08-03
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目;北京市自然科学基金资助项目;国家高技术研究发展计划(“863”计划)基金资助项目;国家科技支撑计划课题基金资助项目;广州市科技计划基金资助项目

Node selection algorithm based on channel coefficient for cognitive network

Jin-huai GUO1,Ke-feng FAN2,Su-bing ZHANG2   

  1. 1 94201 Army,Jinan 250002,China
    2 China Electronics Standardization Institute,Beijing 100007,China
  • Online:2012-11-25 Published:2017-08-03
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China;The Natural Science Foundation of Beijing Municipal;The National High Technology Research and Development Program of China (863 Program);The Key Technology Research and Development Program of China;Guangzhou S&T Program

摘要:

为改善认知网络通信性能,根据机会协作通信技术思想,提出了基于信道系数的认知网络节点选择算法,并对算法性能进行了研究。结果表明,该算法能够有效提高频谱资源利用效率、提升次网络吞吐量。

关键词: 认知网络, 协作通信, 分集增益, 能量增益, 时间增益

Abstract:

To improve communication performance of cognitive network,according to the principle of opportunity cooperative communication,node selection algorithm based on channel coefficient for cognitive network was proposed and studied.Results show that the proposed algorithm can enhance spectrum utilize efficiency and improve network throughput effectively.

Key words: cognitive network, cooperative communication, diversity gain, energy gain, time gain

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