A new approach for spectrum sensing in cognitive radio using modified threshold and filtering Method
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2017 by IJETT Journal | ||
| Volume-49 Number-5 |
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| Year of Publication : 2017 | ||
| Authors : Davinder Kaur, Er. Mandeep Kaur |
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| DOI : 10.14445/22315381/IJETT-V49P245 |
Citation
Davinder Kaur, Er. Mandeep Kaur "A new approach for spectrum sensing in cognitive radio using modified threshold and filtering Method", International Journal of Engineering Trends and Technology (IJETT), V49(5),295-298 July 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
Cognitive radio is one of the communication mean that resolves the issue related to inefficient utilization of spectrum by facilitating the secondary user to utilize the unused licensed bands. To perform more improvisations in cognitive radio the concept of spread spectrum has been developed which sense the spectrum and detect the primary user efficiently, In this the specific amount of spectrum is allotted to the primary users and no other users have authority to utilize this band. In this form of communication the carrier signals can also get affected by noise or narrow bandwidth. To resolve the noise related issue various modulation and filtering techniques have been developed in last decades. In this study a novel approach has been developed by using Matched Filters to perform filtration of the signals so that the SNR of the system can be more efficient and effective. The proposed work also overcome a disadvantage of traditional work by using the concept of double threshold value to enhance the detection probability of the system. The performance of the proposed work is evaluated in the term of SNR and detection probability. The result section renders the comparison of proposed work with conventional work and proves that the proposal outnumbered the traditional spread spectrum sensing mechanisms.
Reference
[1] Jamal Elhachmi Spectrum Allocation in Cognitive Radio Networks Using Genetic Algorithm", International Journal of Science and Research (IJSR), vol. 5, no. 5, pp. 74-85, 2016.
[2] B. Hou, Y. Zu, W. Li, G. Liu and J. Ding, "Cognitive Radio Spectrum Allocation Strategy Based on Improved Genetic Algorithm", Communications and Network, vol. 05, no. 03, pp. 22-26, 2013.
[3] B. Lo and R. Balakrishnan, "Cooperative spectrum sensing in cognitive radio networks: A survey", Physical Communication, vol. 4, no. 1, pp. 40-62, 2011.
[4] Mansi Subhedar and Gajanan Birajdar, “SPECTRUM SENSING TECHNIQUES IN COGNITIVE RADIO NETWORKS: A SURVEY”, International Journal of Next Generation Networks, Vol.3, No.2,Pp 37-51,June 2011
[5] Yonghong Zeng, “Eigen value based Spectrum Sensing Algorithm for Cognitive Radio”, IEEE Transaction of communication, Vol 57, No. 6, Pp 1-12, June 2009
[6] Tevfik Yucek, Huseyin Arslan , “A Survey od Spectrum Sensing Algorithm for Cognitive Radio Application”, IEEE Communication Surveys And Tutorials, Volume: 11 Issue: 1, Pp 116-130, March 2009
[7] Yonghong Zeng, Ying-Chang Liang, “Spectrum Sensing Algorithm for Cognitive Radio Based on Statistical Covariance”, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 58, NO. 4, MAY 2009 Pp 1-12
[8] A. Ghasemi and E. Sousa, "Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs", IEEE Communications Magazine, vol. 46, no. 4, pp. 32-39, 2008.
[9] Ian F. Akyildiz, W. Lee, M. Vuran and S. Mohanty, "NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey", Computer Networks, vol. 50, no. 13, pp. 2127-2159, 2006.
[10] Joseph Mitola,“Cognitive Radio Flexible Mobile Multimedia Communication”, Springer Mobile Networks and Applications, Volume 6, Issue 5, pp 435–441, September 2001.
[11] Hoi yau, Tao Ling, Chen Xu, “Match Filter Design for Improved Strain Estimation in Transient Elastography”, IEEE, Jul 2010
[12] B.H Ahmad, K.N Mihad, “A Review on Reconfigurable Low Pass Bandstop Filter Based on Technology, Method and Design”, IJECSE, 2(1), Pp 395-405, 1956.
[13] Bharat Vashistha, Nishant Panwar, Rebala Neel Reddy, A. Jabeena, “Implementation of Spread-Spectrum Techniques in OpticalComunication”, IOSR-JECE, 9(3), Pp 44-51, 2014
[14] Zhengxiang Ma, Tiejun Chen, Min Zhang, Pawel D. Kecerski, and Shuping Dang, “Literature Review of Spread Spectrum Signaling:Performance, Applications and Implementation”, journal of communication, 10(12), Pp 932-939, 2015
[15] Ernestina Cianca & Ramjee Prasad, “Spread Spectrum Techniques and their Applications to Wireless Communications”, IETE, 51(1), 2005
[16] G.Manikandan,N.Mathavan,M.Suresh,M.Paramasivam,V.Lavanya, “cognitive radio spectrum sensing techniques -a survey”, IJAET, Pp 1-5, 2016
[17] Joseph Mitolla, “Cognitive Radio for Flexible Mobile Multimedia Communications”, SPRINGER, 6(5), Pp 435-441, 2001
[18] D. Cabric ; S.M. Mishra ; R.W. Brodersen, “Implementation issues in spectrum sensing for cognitive radios”, IEEE, 2005
[19] Tevfik Yucek ; Huseyin Arslan, “A survey of spectrum sensing algorithms for cognitive radio applications”, IEEE, 11(1), Pp 116-130, 2009
[20] Ian F. Akyildiz ; Won-yeol Lee ; Mehmet C. Vuran ; Shantidev Mohanty, “A survey on spectrum management in cognitive radio networks”, IEEE, 46(4), 2008
[21] Mohd Sajid Imran, “A Review paper based on spectrum sensing technique s in CognitiveRadioNetworks”, IISTE, 3(9), Pp 14-21, 2013
[22] Ruchi Mittal, Er, Deepti Garg, “A Review to Spread Spectrum Sensing Techniques”, IJARCSSE, 5(5), Pp 1187-1192, 2015
Keywords
Cognitive Radio, Spread Spectrum Sensing, Filtration, Noise, Matched Filters, SNR.