Enhanced Detection of Cognitive Radio Under Noisy Channels

Authors

  • Khanam S Dept. of Information Technology, Chandigarh Engineering College, Landran, Punjab
  • Kaur A Dept. of Information Technology, Chandigarh Engineering College, Landran, Punjab

Keywords:

Primary Users, Secondary Users, Matched Filter, Genetic Algorithm

Abstract

Cognitive radio have been considered as the able-bodied approach with the goal of enhancing spectral efficiency. The prime aim of cognitive radio is spectrum sensing. Spectrum sensing senses the presence of white spaces, but in fading environment unlicensed users are unable to discover the presence of licensed user in the band and this leads to interference. Therefore the aim of this paper is to increase SNR in two noisy environments, AWGN and Rayleigh Fading Environment using matched filter process and to increase lifetime of cognitive radio network using genetic algorithm.

References

J. Mitola and G. Q. Maguire,” Cognitive radio: making software radios more personal,” IEEE Personal Communications, 6(4): pp.13-18, 1999.

Feijing Bao, Huifang Chen, Lei Xie, “Analysis of Primary User Emulation Attack with Motional Secondary Users in Cognitive Radio Networks,” IEEE.

T. Yucek and H. Arslan, “A survey of spectrum sensing algorithms for cognitive radio applications,” IEEE Communications Surveys and Tutorials, vol. 11, no. 1, pp. 116-130, 2009.

S.Tamilarasan, P.Kumar, "A Survey on Dynamic Resource Allocation in Cognitive Radio Networks", International Journal of Computer Sciences and Engineering, Volume-04, Issue-07, Page No (86-93), Jul -2016

Zhaoyu Gao, Haojin Zhu, Yao Liu, Muyuan Li, and Zhanfu Cao, “Location Privacy In Database-Driven Cognitive Radio Networks: Attacks And Countermeasures,” IEEE 2013.

Krikidis, Ioannis, et al. "Cognitive legacy networks via cooperative diversity."IEEE Communications Letters 13.2 (2009): 106-108

Akyildiz, Ian F., et al. "A survey on spectrum management in cognitive radio networks." IEEE Communications magazine 46.4 (2008): 40-48.

Loong Lee, Wasan Kadhim Saad, Ayman Abd El-Saleh, Mahamod Ismail, “Improved Detection Performance of Cognitive Radio Networks in AWGN and Rayleigh Fading Environments.” Journal of Applied Research and Technology.

T.Nilavazhaki, G.Sathish Kumar, "Spectrum Sensing Cognitive Radio For Opportunistic Access Environments Based Trust Management", International Journal of Computer Sciences and Engineering, Volume-04, Issue-04, Page No (298-301), Apr -2016

Downloads

Published

2025-11-11

How to Cite

[1]
S. Khanam and A. Kaur, “Enhanced Detection of Cognitive Radio Under Noisy Channels”, Int. J. Comp. Sci. Eng., vol. 4, no. 10, pp. 116–119, Nov. 2025.

Issue

Section

Research Article