中国邮电高校学报(英文) ›› 2009, Vol. 16 ›› Issue (2): 42-46.doi: 10.1016/S1005-8885(08)60202-2

• Wireless • 上一篇    下一篇

Cyclostationary signature design for common control channel of cognitive radio

QI Yuan, PENG Tao, WANG Wen-bo, LUO Shi-feng   

  1. School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-04-30
  • 通讯作者: 漆源

Cyclostationary signature design for common control channel of cognitive radio

QI Yuan, PENG Tao, WANG Wen-bo, LUO Shi-feng   

  1. School of Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-04-30
  • Contact: QI Yuan

摘要:

Embedding specific signatures in transmitted signals for identifying common control channels of cognitive radio are addressed in research laboratories because availability of the spectrum occupied by the common control channel might change in time. A novel solution to embed a unique cyclostationary signature for the common control channel of cognitive radio is proposed in this article. Based on linear periodically time-variant transformation (LPTV) model, the cyclic autocorrelation expression of the proposed signature is derived, which characterizes its cyclostationarity. Analysis of the cyclostationary signature is presented considering effects of additive white Gaussian noise (AWGN) and multiplath channels. Simulation results illustrating the reliability of signatures are given.

关键词:

cyclostationary;signature,;spectrum;sensing,;cognitive;radio,;common;control;channel

Abstract:

Embedding specific signatures in transmitted signals for identifying common control channels of cognitive radio are addressed in research laboratories because availability of the spectrum occupied by the common control channel might change in time. A novel solution to embed a unique cyclostationary signature for the common control channel of cognitive radio is proposed in this article. Based on linear periodically time-variant transformation (LPTV) model, the cyclic autocorrelation expression of the proposed signature is derived, which characterizes its cyclostationarity. Analysis of the cyclostationary signature is presented considering effects of additive white Gaussian noise (AWGN) and multiplath channels. Simulation results illustrating the reliability of signatures are given.

Key words:

cyclostationary signature;spectrum sensing;cognitive radio;common control channel