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Sensing of Spectrum Holes in Cognitive Radio Networks: A Survey

N.K. Randhawa1 , A.V. Buttar2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-8 , Page no. 28-34, Aug-2014

Online published on Aug 31, 2014

Copyright © N.K. Randhawa, A.V. Buttar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: N.K. Randhawa, A.V. Buttar, “Sensing of Spectrum Holes in Cognitive Radio Networks: A Survey,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.8, pp.28-34, 2014.

MLA Style Citation: N.K. Randhawa, A.V. Buttar "Sensing of Spectrum Holes in Cognitive Radio Networks: A Survey." International Journal of Computer Sciences and Engineering 2.8 (2014): 28-34.

APA Style Citation: N.K. Randhawa, A.V. Buttar, (2014). Sensing of Spectrum Holes in Cognitive Radio Networks: A Survey. International Journal of Computer Sciences and Engineering, 2(8), 28-34.

BibTex Style Citation:
@article{Randhawa_2014,
author = {N.K. Randhawa, A.V. Buttar},
title = {Sensing of Spectrum Holes in Cognitive Radio Networks: A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2014},
volume = {2},
Issue = {8},
month = {8},
year = {2014},
issn = {2347-2693},
pages = {28-34},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=221},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=221
TI - Sensing of Spectrum Holes in Cognitive Radio Networks: A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - N.K. Randhawa, A.V. Buttar
PY - 2014
DA - 2014/08/31
PB - IJCSE, Indore, INDIA
SP - 28-34
IS - 8
VL - 2
SN - 2347-2693
ER -

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Abstract

Cognitive Radio (CR) has risen as a tempting solution to the problem of spectral inefficiency as it performs sensing of the radio environment, sharing it without harmful interference to Primary Users (PU) and quickly quitting the frequency band if the corresponding licensed user emerges. Spectrum Sensing is the most crucial task for the establishment of cognitive radio based communication mechanism. Challenges related to spectrum sensing are discussed and different sensing techniques are surveyed in this paper along with the analysis of their advantages and disadvantages.

Key-Words / Index Term

Cognitive Radio, spectrum sensing techniques, sensing challenges

References

[1] A.S.B.Kozal, M.Merabti, and F.Bouhafs, �An Improved Energy Detection Scheme for Cognitive Radio Networks in Low SNR Region�, IEEE Symposium on Computers and Communications (ISCC), pp: 000684 � 000689, 2012.
[2] A.Sahai, D.Cabric, �Cyclostationary Feature Detection� ppt at Berkeley Wireless Research Center, 2005.
[3] E.Varadharajan and M.Rajkumari, �Discrete Wavelet Based Spectrum Sensing in Cognitive Radios using Eigen filters�, International Journal of Advanced Engineering Technology, IJAET/Vol.III/Issue I/389-391, 2012.
[4] Federal Communications Commission, �Notice of proposed rulemaking and order: Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies�, ET Docket No. 03-108, 2003.
[5] I.F.Akyildiz, B.F.Lo, R.Balakrishnan, �Cooperative spectrum sensing in cognitive radio networks: A survey�, Physical Communication 4, 40�62, 2011.
[6] J.Lehtomaki, �Analysis of Energy Based Signal Detection� Ph.D, dissertation, University of Olu, Finland, 2005.
[7] J.Unnikrishnan and V.V.Veeravalli, �Cooperative Sensing for Primary Detection in Cognitive Radio�, IEEE journal of selected topics in signal processing, vol. 2, no.1, 2008.
[8] K.Kyouwoong, I.A.Akbar, K.K.Bae, J.Um, C.M.Spooner and J.H.Reed, �Cyclostationary Approaches to Signal Detection and Classification in Cognitive Radio� IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Dublin, Ireland, pp. 212-215, 2007.
[9] L.Thanayankizil, A.Kailas, �Spectrum Sensing Techniques (II): Receiver Detection and Interference Management�, 2008.
[10] M.Subhedar and G.Birajdar, �Spectrum Sensing Techniques in Cognitive Radio Networks�, International Journal of Next-Generation Networks (IJNGN) Vol.3, No.2, 2011.
[11] S.Kapoor, SVRK.Rao and G.Singh, �Opportunistic Spectrum Sensing by Employing Matched Filter in Cognitive Radio Networks�, International Conference on Communication Systems and Network Technologies, 2011.
[12] S.Mishra, A.Sahai and R.W. Brodersen, �Cooperative Sensing among Cognitive Radios�, IEEE ICC proceedings, 2006.
[13] S.S.Jeng, J.M.Chen, H.Z.Lin and C.W.Tsung, �Wavelet-Based Spectrum Sensing for Cognitive Radios using Hilbert Transform�, World Academy of Science, Engineering and Technology, 2011.
[14] S.S.Prasad, R.Gandhiraj, K.P.Soman, �Multi-User Spectrum Sensing based on Multi-Taper Method for Cognitive Environments�, International Journal of Computer Applications (0975 � 8887) Volume 22� No.9, 2011.
[15] T.Yucek and H.Arslan, �A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications�, IEEE Communication Surveys and Tutorials, vol.11, no.1, pp: 116-130, 2009.
[16] X.Chen, S.Nagaraj, �Entropy Based Spectrum Sensing in Cognitive Radio�, Wireless Telecommunications Symposium, 2008.
[17] Y.L.Zhang, Q.Y.Zhang and T.Melodia, �A Frequency-Domain Entropy-Based Detector for Robust Spectrum Sensing in Cognitive Radio Networks�, IEEE communications letters, vol. 14, no. 6, 2010.
[18] Z.Quan, S.J.Shellhammer, W.Zhang and A.H.Sayed, �Spectrum Sensing by Cognitive Radios at Very Low SNR� IEEE "GLOBECOM" proceedings, 2009.