CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Cooperative Spectrum Sensing and Determination of Optimum Threshold in Cognitive Radio System

by M.m. Abdullahi, S.m. Sani, M.b. Mu'azu
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 23
Year of Publication: 2015
Authors: M.m. Abdullahi, S.m. Sani, M.b. Mu'azu
10.5120/21867-5198

M.m. Abdullahi, S.m. Sani, M.b. Mu'azu . Cooperative Spectrum Sensing and Determination of Optimum Threshold in Cognitive Radio System. International Journal of Computer Applications. 122, 23 ( July 2015), 32-38. DOI=10.5120/21867-5198

@article{ 10.5120/21867-5198,
author = { M.m. Abdullahi, S.m. Sani, M.b. Mu'azu },
title = { Cooperative Spectrum Sensing and Determination of Optimum Threshold in Cognitive Radio System },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 23 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number23/21867-5198/ },
doi = { 10.5120/21867-5198 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:11:21.168937+05:30
%A M.m. Abdullahi
%A S.m. Sani
%A M.b. Mu'azu
%T Cooperative Spectrum Sensing and Determination of Optimum Threshold in Cognitive Radio System
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 23
%P 32-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The challenges associated with the determination of detection threshold due to uncertainty was addressed in this paper. The technique of Cooperative Sensing Spectrum (CSS) was used to model the functional subsystems that made up the Cognitive Radio System. The model developed utilizes channel centre frequencies. Also, implemented and threshold actualized for the presence/absence of PU based on false alarm and detection decisions. The innovative approach employed the use of FLA for the improvement of the detection threshold. This was used to fine tune and determine the optimum threshold using the hypothesis H0 and H1.

References
  1. Haykin, Simon. "Cognitive radio: brain-empowered wireless communications. " Selected Areas in Communications, IEEE Journal on 23. 2 (2005): 201-220.
  2. Hossain, Ekram, and Vijay K. Bhargava, eds. Cognitive wireless communication networks. Springer Science & Business Media, 2007.
  3. Mitola III, Joseph, and Gerald Q. Maguire Jr. "Cognitive radio: making software radios more personal. " Personal Communications, IEEE 6. 4 (1999): 13-18.
  4. Horne, W. D. "An adaptive Spectrum Access: Using the full spectrum space, technical report, the MITRE corporation (2004).
  5. Liang, Ying-Chang, et al. "Sensing-throughput tradeoff for cognitive radio networks. " Wireless Communications, IEEE Transactions on 7. 4 (2008): 1326-1337.
  6. Song, Yang, Yuguang Fang, and Yanchao Zhang. "Stochastic channel selection in cognitive radio networks. " Global Telecommunications Conference, 2007. GLOBECOM'07. IEEE. IEEE, 2007.
  7. Ghasemi, Amir, and Elvino S. Sousa. "Optimization of spectrum sensing for opportunistic spectrum access in cognitive radio networks. " 2007 4th IEEE Consumer Communications and Networking Conference. 2007.
  8. Cabric, Danijela, Artem Tkachenko, and Robert W. Brodersen. "Experimental study of spectrum sensing based on energy detection and network cooperation. " Proceedings of the first international workshop on Technology and policy for accessing spectrum. ACM, 2006.
  9. Cavalcanti, Dave, et al. "Cognitive radio based wireless sensor networks. " Computer Communications and Networks, 2008. ICCCN'08. Proceedings of 17th International Conference on. IEEE, 2008.
  10. Zhang, Tao, Bin Wang, and Zhiqiang Wu. "Spectrum assignment in infrastructure based cognitive radio networks. " Aerospace & Electronics Conference (NAECON), Proceedings of the IEEE 2009 National. IEEE, 2009.
  11. Matinmikko, Marja, et al. "Cognitive radio: An intelligent wireless communication system. " VTT Technical Research Centre of Finland, Tech. Rep (2008).
  12. Hao, Junwei, and Yunxiao Zu. "An enhanced energy detection algorithm in cognitive radio. " Wireless Communications, Networking and Mobile Computing, 2009. WiCom'09. 5th International Conference on. IEEE, 2009.
  13. WANG, Xiaoxiang, et al. "Cooperative Spectrum Sensing Exploiting a Certain Number of CR Users Based on Multi-Antennas in Cognitive Radio Networks. " China Communications 7. 4 (2010): 149-155.
Index Terms

Computer Science
Information Sciences

Keywords

CSS FLA PU and SU

Powered by PhDFocusTM