CFP last date
22 April 2024
Reseach Article

Receiver Operating Characteristic for Variable Threshold and Sample Values using Energy Detection for Secondary user in Cognitive Environment

by Ashish Suri, Jaswinder Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 159 - Number 5
Year of Publication: 2017
Authors: Ashish Suri, Jaswinder Singh
10.5120/ijca2017912935

Ashish Suri, Jaswinder Singh . Receiver Operating Characteristic for Variable Threshold and Sample Values using Energy Detection for Secondary user in Cognitive Environment. International Journal of Computer Applications. 159, 5 ( Feb 2017), 25-35. DOI=10.5120/ijca2017912935

@article{ 10.5120/ijca2017912935,
author = { Ashish Suri, Jaswinder Singh },
title = { Receiver Operating Characteristic for Variable Threshold and Sample Values using Energy Detection for Secondary user in Cognitive Environment },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2017 },
volume = { 159 },
number = { 5 },
month = { Feb },
year = { 2017 },
issn = { 0975-8887 },
pages = { 25-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume159/number5/26998-2017912935/ },
doi = { 10.5120/ijca2017912935 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:04:57.828429+05:30
%A Ashish Suri
%A Jaswinder Singh
%T Receiver Operating Characteristic for Variable Threshold and Sample Values using Energy Detection for Secondary user in Cognitive Environment
%J International Journal of Computer Applications
%@ 0975-8887
%V 159
%N 5
%P 25-35
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A cognitive Radio is a current area of research for modern day communication systems design in which spectrum availability is becoming scarcity. In the current scenario various spectrum sensing techniques have been evolved, but till today energy detection remains the most common amongst of the all. In this paper the receiver operating characteristics of the receiver is being studied using the spectrum sensing method in energy detection. The receiver operating characteristic of the receiver is an important parameter to identify the spectrum availability in the cognitive environment and is being studied under the parameters of the probability of detection which is measured with the adaptive threshold values and samples values under various signal to noise ratio.

References
  1. Kalambe,Sheetal,. Lohiya Padma, P. Malathi “Performance Evolution of Energy Detection Spectrum Sensing Technique Used In Cognitive radio”, International Conference on Signal Propagation and Computer Technology (ICSPCT), 2014.
  2. Warit, Prawatmuang, Daniel ,K. C., and Emad Alsusa, “Sequential Cooperative Spectrum Sensing Technique in Time Varying Channel”, IEEE Transactions on wireless communication, Vol. 13, NO. 6, June 2014.
  3. Wen Xing See, Sharifah K. Syed-Yusof, Mohamad Kamal A. Rahim “Edge Energy Detection: An Analysis Study” IEEE 11th Malaysia International Conference on Communications Kuala Lumpur, Malaysia, 2013.
  4. Waleed Ejaz, Najam ul Hasan, Seok Lee and Hyung Seok Kim, “Intelligent spectrum sensing scheme for cognitive radio networks”, EURASIP Journal on Wireless Communications and Networking, 2013.
  5. Guicai Yu, Chengzhi Long and Mantian Xiang , “A Novel Spectrum Detection Scheme Based on Dynamic Threshold in Cognitive Radio Systems”, Research Journal of Applied Sciences, Engineering and Technology, 2012.
  6. Waleed Ejaz, Najam ul Hasan, Muhammad Awais Azam and Hyung Seok Kim, “Improved local spectrum sensing for cognitive radio networks”, EURASIP Journal on Advances in Signal Processing, 2012.
  7. Waleed Ejaz, Najam ul Hasan and Hyung Seok Kim, “SNR-based adaptive spectrum sensing for cognitive radios,” International Journal of Innovative Computing, Information and Control 2012.
  8. Kyungtae Kim, Yan Xin, and Sampath, Rangarajan, “Energy Detection Based Spectrum Sensing for Cognitive Radio”, IEEE Communications, 2010.
  9. YUE Wen-jing, ZHENG Bao-yu, MENG Qing-min, YUE Wen-jie, “Combined energy detection and one-order cyclostationary feature detection techniques in cognitive radio systems”, sciencedirect, The Journal of China Universities of Posts and Telecommunications, 2010.
  10. Tevfik Y¨ucek and H¨useyin Arslan, “A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications”, IEEE communications survey and tutorials, 2009.
  11. Guicai YU, Chengzhi LONG, Mantian XIANG,“A Novel Energy Detection Scheme Based on Dynamic Threshold in Cognitive Radio Systems” Journal of Computational Information Systems ,(2012)
  12. Ahmed S. B. Kozal, Madjid Merabti, and Faycal Bouhafs “An Improved Energy Detection Scheme for Cognitive Radio Networks in Low SNR Region” IEEE International Conference on Communications, ICC 2012.
  13. Nisha Yadav and Suman Rathi,”A Comprehensive Study of Spectrum Sensing Techniques in Cognitive Radio”, International Journal of Advances in Engineering & Technology, July 2011.
  14. Dong-Chan Oh and Yong-Hwan Lee,“Energy Detection Based Spectrum Sensing for Sensing Error Minimization in Cognitive Radio Networks”, International Journal of Communication Networks and Information Security, April 2009.
  15. Shamim, Md. Hossain, Abdullah, Md. Ibrahim “Energy Detection Performance of Spectrum Sensing in Cognitive Radio”, International Journal for Information Technology and Computer Science, 2012.
  16. Guoqing JI, Hongbo ZHU, “On the Noise Power Uncertainty of the Low SNR Energy Detection in Cognitive Radio”, Journal of Computational Information Systems 6:8(2010).
  17. Saqib Saleem and Khurram Shahzad, “Performance Evaluation of Energy Detection Based Spectrum Sensing Technique for Wireless Channel”, International Journal of Multidisciplinary Sciences and Engineering, May 2012.
  18. Saman Atapattu, Chintha Tellambura, and Hai Jiang , “Spectrum Sensing via Energy Detector in Low SNR”, IEEE Trans. Wireless Communication., 2011.
  19. Suri, Ashish, Singh, Jaswinder, “Evaluation of Probability of Detection using Energy Detection for Secondary User in Cognitive Environment with Variable Threshold & Sample Values,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE),Vol.5, Issue7,2016.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive Radio Probability of Detection Energy Detection.