系统仿真学报 ›› 2016, Vol. 28 ›› Issue (3): 727-732.

• 专栏:通信仿真应用 • 上一篇    下一篇

认知无线电系统中搜索空闲信道的平均时间优化算法

乔培1, 肖丽媛1,2,3, 韩妍妍4, 高岭1   

  1. 1.西北大学,陕西 西安 710127;
    2.西安电子科技大学,陕西 西安 710071;
    3.中央编办事业发展中心,北京 100028;
    4.北京电子科技学院,北京 100070
  • 收稿日期:2014-07-14 修回日期:2014-09-22 发布日期:2020-07-02
  • 作者简介:乔培(1982-),男,陕西咸阳,博士生,助理研究员,研究方向为认知无线电,域名系统,IP网络,信息安全。
  • 基金资助:
    国家自然科学基金(61373176);国家科技支撑计划(2012BAH16B00);信息安全国家标准(2013bzzd-WG1-005)

Optimization Scheme of Average Time for Finding Idle Channel in Cognitive Radio System

Qiao Pei1, Xiao Liyuan1,2,3, Han Yanyan4, Gao Ling1   

  1. 1. Northwest University, Xi'an 710127, China;
    2. Xidian University, Xi'an 710071, China;
    3. Service Development Center of the State Commission Office for Public Sector Reform, Beijing 100028, China;
    4. Beijing Electronic Science and Technology Institute, Beijing 100070, China
  • Received:2014-07-14 Revised:2014-09-22 Published:2020-07-02

摘要: 为了保证主用户在传输数据过程中不受次级用户的干扰,认知无线电系统中次级用户采用了周期频谱检测技术来检测空闲信道。假设系统中存在多条主用户信道,当检测出当前使用的主用户信道被占用时,次级用户进行频谱切换。频谱切换过程中搜索空闲信道的时间是个随机变量。为了加速频谱切换,采用等增益合并合作频谱检测模式来进行空闲信道的检测,这种模式优化单个信道的检测时间,可以达到使搜索空闲信道平均时间最短的效果。研究了在不同仿真参数的情况下,系统存在相应的最优单个信道检测时间,以及对应最短搜索空闲信道的平均时间。

关键词: 认知无线电, 频谱检测, 频谱切换, 软合并, 优化

Abstract: In cognitive radio system, periodic spectrum sensing was taken by secondary users to prevent the interference to primary users. Supposed that there are many primary user channels, when the current primary user occupies channel, secondary users do spectrum handover. During spectrum handover, the time of finding an idle channel is a random variable. In order to speed up spectrum handover, the system used equal gain combining cooperative spectrum sensing to inspect an idle channel. This pattern optimized the sensing time of the single user channel, in order to get the best effect of the average time in finding idle channel. Using different simulation parameters, there are accordingly optimal sensing times of the single channel, and the corresponding different shortest average time of finding idle channel.

Key words: cognitive radio, spectrum sensing, spectrum handover, soft combination, optimization

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