Title :
Improved Energy Detectors for Cognitive Radios With Randomly Arriving or Departing Primary Users
Author :
Beaulieu, Norman C. ; Chen, Yunfei
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
Abstract :
New and improved energy detectors for cognitive radios are derived by considering the effect of the primary user traffic on spectrum sensing. The new energy detectors are designed based on the assumption that the primary user randomly arrives or departs during the sensing period. Numerical results show that the new energy detector outperforms the conventional energy detector in all the cases examined. The performance gain depends on the operating signal-to-noise ratio as well as the sample size used.
Keywords :
cognitive radio; telecommunication traffic; cognitive radio; departing primary users; energy detectors; primary user traffic; randomly arriving users; spectrum sensing; Approximation methods; Artificial neural networks; Cognitive radio; Detectors; Iron; Performance gain; Permission; Postal services; Power engineering and energy; Radio access networks; Random variables; Signal to noise ratio; Traffic control; Cognitive radio; energy detector; primary user;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2010.2064768
