华南理工大学学报(自然科学版) ›› 2015, Vol. 43 ›› Issue (5): 35-39.doi: 10.3969/j.issn.1000-565X.2015.05.006

• 电子、通信与自动控制 • 上一篇    下一篇

基于认知网络不对称模型的交会跳频算法

钟鸣 张海林 马蓓 兰冰   

  1. 西安电子科技大学 通信工程学院,陕西 西安 710071
  • 收稿日期:2014-12-15 修回日期:2015-03-01 出版日期:2015-05-25 发布日期:2015-05-07
  • 通信作者: 钟鸣(1981-),男,博士生,主要从事认知无线网络研究. E-mail:ringbel2458_cn@sina.com
  • 作者简介:钟鸣(1981-),男,博士生,主要从事认知无线网络研究.
  • 基金资助:

    国家自然科学基金资助项目(61072069);国家科技重大专项(2012ZX03003012);西安电子科技大学中央高校基本科研业务费专项资金资助项目(72136037)

Channel-Hopping Algorithm for Rendezvous Based on Asymmetric Model in Cognitive Networks

Zhong Ming Zhang Hai-lin Ma Bei Lan Bing   

  1. School of Telecommunications Engineering,Xidian University,Xi'an 710071,Shaanxi,China
  • Received:2014-12-15 Revised:2015-03-01 Online:2015-05-25 Published:2015-05-07
  • Contact: 钟鸣(1981-),男,博士生,主要从事认知无线网络研究. E-mail:ringbel2458_cn@sina.com
  • About author:钟鸣(1981-),男,博士生,主要从事认知无线网络研究.
  • Supported by:
    Supported by the National Natural Science Foundation of China(61072069) and the National Science and Tech-nology Major Project of Ministry of Science and Technology of China(2012ZX03003012)

摘要: 基于认知网络的不对称模型提出了一种新的交会跳频算法(AMCH). 该算法根据每个次要用户感知到的可用信道集,在两个不相交的素数集中选择发射机和接收机的跳频序列长度并分别构建跳频序列. 在不需要其他辅助信息(如全网同步信息、信道标号信息)的情况下,通信范围内的任意两个次要用户通过跳频于短时间内就能交会在它们的共同信道上并建立通信链路. 与现有算法相比,AMCH 算法减小了跳频序列冗余,提高了交会效率. 仿真结果表明,AMCH 算法的交会时间上限最小,交会性能优于现有算法.

关键词: 认知无线电, 认知无线网络, 不对称模型, 跳频算法, 交会

Abstract: Proposed in this paper is a novel channel-hopping algorithm for rendezvous on the basis of asymmetric model in cognitive networks (named AMCH). According to the available channel set sensed by each secondary user,the lengths of channel hopping sequences for transmitters and receivers are selected in two disjoint sets of prime numbers,and two channel hopping sequences are respectively constructed. Without any other auxiliary infor-mation (such as the synchronization information and the global channel label information,etc. ),any two secondary users within the communication scope can rendezvous in a short time and establish a link in their common channels.In comparison with the existing algorithms,AMCH algorithm diminishes the redundancies of channel-hopping se-quences and improves the efficiency of rendezvous. Simulated results show that AMCH algorithm outperforms the existing algorithms in terms of time-to-rendezvous upper boundary and rendezvous performance.

Key words: cognitive radio, cognitive radio networks, asymmetric model, channel-hopping algorithm, rendezvous