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Analysis of Frequency Division Spectrum Sensing in Cognitive Radio Network for Nakagami Fading Channel
International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 114 - Number 3
Year of Publication: 2015
|
10.5120/19960-1794 |
O.p.meena and Ajay Somkuwar. Article: Analysis of Frequency Division Spectrum Sensing in Cognitive Radio Network for Nakagami Fading Channel. International Journal of Computer Applications 114(3):29-32, March 2015. Full text available. BibTeX
@article{key:article,
author = {O.p.meena and Ajay Somkuwar},
title = {Article: Analysis of Frequency Division Spectrum Sensing in Cognitive Radio Network for Nakagami Fading Channel},
journal = {International Journal of Computer Applications},
year = {2015},
volume = {114},
number = {3},
pages = {29-32},
month = {March},
note = {Full text available}
}
Abstract
In this paper we have analyzed and simulated Frequency Division Spectrum Sensing (FDSS) in Cognitive Radio Network (CRN) for Nakagami fading channel. The simulation results shows that for different values of Nakagami Parameters (m) the performance of the FDSS is different. As the value of Nakagami parameter (m) increases probability of false alarm decreases, probability of detection increases and secondary user's throughput also increases. The simulation results show that for the optimum spectrum sensing bandwidth (Ws) 0. 5 MHz, the false alarm probability decreases by 49. 6% and 96. 6% for m=2 and m=5 respectively as compare to m=1, the probability of detection increases by 6% and 17. 7% for m=2 and m=5 respectively as compare to m=1, the secondary user throughput increases by 14% and 29. 1% for m=2 and m=5 respectively as compare to m=1.
References
- Ian F. Akyildiz, Won-Yeol Lee, Mehmet C. Vuran "NeXt generation/ dynamic spectrum access/ cognitive radio wireless networks: A survey", Computer Networks 50, 2006, pp. 2127-2159.
- J. Mitola, "Cognitive radio: an integrated agent architecture for software defined radio," Doctor of Technology, Royal Inst. Technol. (KTH), Stockholm, Sweden, 2000.
- Tevfik Yucek, Huseyin Arslan "A survey of spectrum sensing algorithms for cognitive radio Applications", IEEE communications survey & tutorials, vol. 11, no. 1, 2009, pp. 116-129.
- Erik Axell, greet leus, Erik G. Larsson, H. Vincent Poor, "Spectrum Sensing for Cognitive Radio", IEEE signal Processing Magazine, 2012, pp. 101-116.
- Lei Yang, Zhe Chen, Fuliang Yin "Cyclo-energy detector for spectrum sensing in cognitive radio", International Journal of Electronics and Communications (AEÜ), 66 (2012), pp. 89-92.
- Ying-Chang Liang, Yonghong Zeng, Edward C. Y. Peh, Anh Tuan Hoang, "Sensing-Throughput Tradeoff for Cognitive Radio Networks", IEEE Transaction on wireless communications, Vol. 7, No. 4, 2008, pp. 1326-1337.
- Wenshan Yin, Pinyi Ren, Qinghe Du, Yichen Wang, "Delay and Throughput Oriented Continuous Spectrum Sensing Schemes in Cognitive Radio Networks ", IEEE Transaction on wireless communications, Vol. 11, No. 6, 2012, pp. 2148-2159.
- Hang Hu, hang Zhang, Hong Hu, Yi Chen, "Spectrum-Energy_efficient sensing with novel frame structure in cognitive radio networks", International Journal of Electronics and Communications (AEÜ), 2014, pp. 1065-1072.
- Sami M. Almalfouh, Gordon L. St¨uber, " Joint Spectrum-Sensing Design and Power Control in Cognitive Radio Networks: A Stochastic Approach", IEEE Transaction on wireless communications, Vol. 11, No. 12, 2012,pp. 4372-4380.
- Won-Yeol Lee, Ian. F. Akyildiz, "Optimal Spectrum Sensing Framework for Cognitive Radio Networks", IEEE Transaction on wireless communications, Vol. 7, No. 10,2008, pp. 3845-3857.
- Stergios Stotas, Arumugam Nallanathan, (2012). On the Throughput and Spectrum Sensing Enhancement of Oppoutunistic Spectrum Access Conmitive Radio Network, IEEE Transaction on wireless communications, Vol. 11, No. 1, pp. 97-107.
- S. Senthuran, A. Anpalagan, O. Das, "Throughput Analysis of Opportunistic Access Strategies in Hybrid Underlay–Overlay Cognitive Radio Networks", IEEE Transaction on wireless communications, Vol. 11, No. 6, 2012,pp. 2024-2035.
- Husheng Li, Huaiyu Dai, Chengzhi Li "Collaborative Quickest Spectrum Sensing via Random Broadcast in Cognitive Radio Systems", IEEE Transaction on wireless communications, Vol. 9, No. 7, 2010, pp. 2338-2348.
- Wei Zhang, Ranjan K. Mallik, Khaled Ben Letaief, " Optimization of Cooperative Spectrum Sensing with Energy Detection in Cognitive Radio Networks", IEEE Transaction on wireless communications, Vol. 8, No. 12, 2009, pp. 5761-5766.
- Weijia Han, Jiandong Li, Zhi Tian, and Yan Zhang "Efficient Cooperative Spectrum Sensing with Minimum Overhead in Cognitive Radio", IEEE Transaction on wireless communications, Vol. 9, No. 10, 2010, pp. 3006-3011.
- Qihui Wu, Guoru Ding, Jinlong Wang,Yu-Dong Yao, "Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing" IEEE Transaction on wireless communications, Vol. 12, No. 2, 2013, pp. 516-526.
- F. Gómez-Cuba, R. Asorey-Cacheda, F. J. González-Castaño, H. Huang, "Application of Cooperative Diversity to Cognitive Radio Leasing: Model and Analytical Characterization of Resource Gains ", IEEE Transaction on wireless communications, Vol. 12, No. 1, 2013, pp. 40-49.
- Ezio Biglieri, John Proakis, Shlomo Shamai, "Fading channel: Information- Theoretic and communication aspects", IEEE Transaction on Information Theory, Vol. 44, No. 6, 1998, pp. 2619-2692.
- Bernard Sklar, 'Rayleigh fading channels in mobile digital communicationsystem Part-I: Characterizatio' July 1997, pp. 90-100.
- Norman C. Beaulieu, Christine Cheng, "Efficient Nakagami-m Fading Channel Simulation", Vol. 54, No. 2, March 2005, IEEE Transaction on Vehicular Technology , Vol. 54, No. 2, 2005, pp. 413-424.