Two bit Soften Hard Decision Fusion for Cooperative Spectrum Sensing inCognitive Radio Networks

J.Abinaya*, K.Yalini**, S.Shanmugavel***
* -*** Department of Electronics and Communication Engineering, College of Engineering, Anna University, Chennai, India.
Periodicity:January - March'2014
DOI : https://doi.org/10.26634/jdp.2.1.2722

Abstract

This paper presents a comprehensive analysis of spectrum sensing (SS) in cognitive radio (CR) network. The main function of cognitive radio is detecting unused spectrum and sharing it without harmful interference to the licensed user. Cooperative spectrum sensing refers to incorporation of multiple secondary users (SU) to analyze the primary user (PU) signal in order to achieve more accurate detection performance. In order to solve the sensing failure problem in conventional two threshold energy detection method soften hard decision fusion mechanism is used exploiting all the sensing results. Consideration of the confused region which is the intersection of the energy distribution of PU signal and noise. SUs could not distinguish between the absence or presence of the primary user in the confused region. So the fusion center makes a soft combination of the observations. The objective of this paper is to produce an efficient spectrum sensing algorithms using two thresholds with soften hard decision fusion mechanism.

Keywords

Censoring, cognitive radio, cooperative sensing, dynamic spectrum access, soften hard decision, spectrum sensing

How to Cite this Article?

Abinaya,J.,Yalini.K.,, and Shanmugavel.S. (2014). Two Bit Soften Hard Decision Fusion for Cooperative Spectrum Sensing In Cognitive Radio Networks. i-manager’s Journal on Digital Signal Processing, 2(1), 26-32. https://doi.org/10.26634/jdp.2.1.2722

References

[1]. Danijela Cabric, Shridhar Mubaraq Mishra, Robert W. Brodersen, (2004). "Implementation Issues in Spectrum Sensing for Cognitive Radios", IEEE Proc. of Asilomar Conf. on Signals, Systems, and Computers, pp. 772–776
[2]. Simon Haykin, David J. Thomson and Jeffrey H. Reed, (2009). "Spectrum Sensing for Cognitive Radio", IEEE.
[3]. Sina Maleki and Geert Leus, (2013). "Censored Truncated Sequential Spectrum Sensing for Cognitive Radio Networks", Journal on selected areas in communications, IEEE, Vol.31 pp. 364-377
[4]. Jun Ma and Ye (Geoffrey) Li, (2007). "Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks", IEEE GLOBECOM, pp. 3139-3143.
[5]. Ashish Bagwari & Geetam Singh Tomar, (2013). "Adaptive double-threshold based energy detector for spectrum sensing in cognitive radio networks", International Journal of Electronics Letters, Vol. 1, pp. 24-32
[6]. Yan Xin and Honghai Zhang, (2009). "A Simple Sequential Spectrum Sensing Scheme for Cognitive Radio", IEEE Transactions on Signal Processing.
[7]. Rahul Tandra and Anant Sahai, (2008). "SNR Walls for Signal Detection", IEEE Journal of Selected Topics in Signal Processing, Vol. 2 pp.4-17.
[8]. I.F Akyildiz, W.Y. Lee, K.R. Chowdhury, (2009). "CRAHNs: cognitive radio ad hoc networks," Ad Hoc Networks 7 (5), pp. 810-836.
[9]. Yulong Zou and Yu-Dong Yao Baoyu Zheng, (2010). "Spectrum Sensing and Data Transmission Tradeoff in Cognitive Radio Networks", IEEE.
[10]. Tevfik Yucek and Huseyin Arslan, (2009). "A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications", IEEE Communications Surveys & Tutorials, Vol. 2, pp. 116-130
[11]. Urkowitz, H, (1967). " Energy detection of unknown deterministic", Signals, Proceedings of IEEE, pp.523-531.
[12]. Shishir Kumar Srivastava, Adrish Banerjee, (2009). "Inratio" Logic Based Cooperative Spectrum Sensing using Double threshold Energy Detection", Proceedings of 4th International Conference on Crowncom.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Online 15 15

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.