CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Review of Spectrum Sensing in Cognitive Radio by using Energy Detection Technique

Published on August 2015 by Ajay Jindal
journal_cover_thumbnail

International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 12
August 2015
Authors: Ajay Jindal
a6998adf-1812-4ab8-8070-4af881ad1910

Ajay Jindal . Review of Spectrum Sensing in Cognitive Radio by using Energy Detection Technique. International Conference on Advancements in Engineering and Technology. ICAET2015, 12 (August 2015), 12-15.

@article{
author = { Ajay Jindal },
title = { Review of Spectrum Sensing in Cognitive Radio by using Energy Detection Technique },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 12 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 12-15 },
numpages = 4,
url = { /proceedings/icaet2015/number12/22288-4169/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Ajay Jindal
%T Review of Spectrum Sensing in Cognitive Radio by using Energy Detection Technique
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 12
%P 12-15
%D 2015
%I International Journal of Computer Applications
Abstract

Sensing of channel to detect the presence of primary to provide the vacant band to secondary users we use the Energy Detection Technique Algorithm in Cognitive Radio. The simulations of a proper coding to detect or shows the all kind of requirements like Presence of primary and secondary and level of noise and level attenuation The behaviors of Energy Detection Scheme in Cognitive Radio is mainly depends upon three parameters like Probability of Detection, Likelihood of False discovery, Probability of Miss recognition is likewise enhancing by utilizing the created MATLAB codes. Vitality Detection Technique is best strategy for cognitive Radio for low SNR.

References
  1. Federal Communications Commission, "Range Policy Task Force," Rep. ET docket no. 02-135, Nov. 2002.
  2. J. Mitola and G. Q. Maguire, "Cognitive radio: making programming radios more individual," IEEE Personal Common. , vol. 6, pp. 13-18, Aug. 1999.
  3. D. Cambric, S. M. Mishra, and R. W. Brodersen, "Usage issues in range sensing for cognitive radios," in Proc. Asilomar Conf. Signals, Frameworks, Computers, Nov. 2004, vol. 1, pp. 772-776.
  4. W. Zhang and K. B. Letaief, "Helpful range sensing with transmit what's more transfer differing qualities in cognitive radio systems," IEEE Trans. Remote Common. , vol. 7, pp. 4761-4766, Dec. 2008.
  5. G. Ganesan and Y. G. Li, "Helpful range sensing in cognitive radio systems," in Proc. IEEE Symp. New Frontiers Dynamic Spectrum Access Networks (DySPAN'05), Baltimore, USA, Nov. 2005, pp. 137- 143.
  6. A. Ghasemi and E. S. Sousa, "Shared range sensing for crafty access in blurring situations," in Proc. IEEE Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN'05), Baltimore, USA, Nov. 2005, pp. 131-136.
  7. S. M. Mishra, A. Sahai, and R Brodersen, "Agreeable sensing among
  8. cognitive radios," in Conf. Rec. IEEE Int. Conf. Common. (ICC'06), Turkey, June 2006, vol. 4, pp. 1658-1663. K. B. Letaief and W. Zhang, "Agreeable interchanges for cognitive radio," Proc. IEEE, vol. 97, no. 5, pp. 878-893, May 2009.
  9. Z. Quan, S. Cui, and A. H. Sayed, "Ideal direct participation for range sensing in cognitive radio systems," IEEE J. Sel. Themes Signal Process. , vol. 2, no. 1, pp. 28-40, Feb. 2008.
  10. E. Peh and Y. -C. Liang, "Streamlining for agreeable sensing in cognitive radio systems," in Proc. IEEE Int. Remote Common. Organizing Conf. , Hong Kong, Mar. 2007, pp. 27-32.
  11. Y. -C. Liang, Y. Zeng, E. Peh, and A. T. Hoang, "Sensing-throughput tradeoff for cognitive radio systems," IEEE Trans. Remote Common. , vol. 7, pp. 1326-1337, Apr. 2008.
  12. B. Chen and P. K. Willett, "On the optimality of probability degree test for neighborhood sensor choice standards in the vicinity of non-perfect channels," IEEE Trans. Inf. Hypothesis, vol. 51, pp. 693-699, Feb. 2005.
  13. A. Sahai, N. Hoven, and R. Tundra, "Some central breaking points on cognitive radio," in Proc. Allerton Conf. Communion. , Control, Computing, Monticello, Oct. 2004.
  14. F. F. Digham, M. -S. Alouini, and M. K. Simon, "On the vitality discovery of obscure flags over blurring channels," in Conf. Rec. IEEE Int. Conf. Common. (ICC'03), Anchorage, AK, USA, May 2003, pp. 3575-3579.
  15. P. K. Varshney, Distributed Detectiona and Data Fusion. Springer, 1997.
Index Terms

Computer Science
Information Sciences

Keywords

Spectrum Sensing And Opportunity Sensor Clustering Sensing Scheduling Energy And Feature Detection.