Share This Article:

Efficient Performance Analysis of Spectrum Sensing for Cascaded Multihop Network over Nagakami-m Fading Channels

Abstract Full-Text HTML XML Download Download as PDF (Size:243KB) PP. 71-77
DOI: 10.4236/eng.2014.62010    3,779 Downloads   5,067 Views  

ABSTRACT

Performance evaluation of spectrum sensing in infrastructure based multihop network is very hard to achieve because of the adverse effects of channel fading. In this paper, performance of a multihop link is studied over Nakagami-m distribution. It provides the exact theoretical methodology for the performance analysis of spectrum sensing by evaluating detection probability. Using a cascaded multihop model, the end-to-end Signal to Noise Ratio (SNR) is given over Nakagami-m distribution. In the analysis, multihop model based on relays are considered over independent and not identically distributed (i.n.i.d) wireless channels. Simulation results show the effect of increase in number of hops on probability of detection for multihop links. Subsequent to the thorough fading severity analysis, it has been accomplished that spectrum hole detection is more crucial at lower SNR values with large number of hops.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Kakkar, D. , Khosla, A. and Uddin, M. (2014) Efficient Performance Analysis of Spectrum Sensing for Cascaded Multihop Network over Nagakami-m Fading Channels. Engineering, 6, 71-77. doi: 10.4236/eng.2014.62010.

References

[1] D. Cabric, S. M. Mishra and R. W. Brodersen, “Implementation Issues in Spectrum Sensing for Cognitive Radios,” Proceedings of 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, 7-10 November 2004, Vol. 1, pp. 772-776.
[2] D. Cabric, A. Tkachenko and R. Brodersen, “Spectrum Sensing Measurements of Pilot Energy and Collaborative Detection,” Proceedings of IEEE Military Communication Conference, Washington DC, 23-25 October 2006, pp. 1-7.
[3] G. Ganesan and Y. Li, “Agility Improvement through Cooperative Diversity in Cognitive Radio,” Proceedings of IEEE Global Telecommunications Conference (Globecom), St. Louis, Vol. 5, 28 November-2 December 2005, pp. 2505-2509.
[4] G. Ganesan and Y. Li, “Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks,” IEEE Transactions on Wireless Communications, Vol. 6, No. 6, 2007, pp. 2204-2213.
http://dx.doi.org/10.1109/TWC.2007.05775
[5] H. Urkowitz, “Energy Detection of Unknown Deterministic Signals,” Proceedings of IEEE, Vol. 55, No. 4, 1967, pp. 523-531.
http://dx.doi.org/10.1109/PROC.1967.5573
[6] G. Ganesan and Y. Li, “Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks,” IEEE Transaction on Wireless Communications, Vol. 6, No. 6, 2007, pp. 2214-2222.
http://dx.doi.org/10.1109/TWC.2007.05776
[7] R. Fan and H. Jiang, “Optimal Multi-Channel Cooperative Sensing in Cognitive Radio Networks,” IEEE Transaction on Wireless Communications, Vol. 9, No. 3, 2010, pp. 1128-1138.
http://dx.doi.org/10.1109/TWC.2010.03.090467
[8] W. Zhang and K. B. Letaif, “Cooperative Communications for Cognitive Radio Networks,” Proceedings of the IEEE, Vol. 97, No. 5, 2009, pp. 878-893.
http://dx.doi.org/10.1109/JPROC.2009.2015716
[9] F. F. Digham, M. S. Alouini and M. K. Simon, “On the Energy Detection of Unknown Signals over Fading Channels,” IEEE Transaction on Wireless Communication, Vol. 55, No. 1, 2007, pp. 21-24.
[10] A. Ghasemi and E. S. Sousa, “Collaborative Spectrum Sensing for Opportunistic Access in Fading Environments,” Proceedings of the IEEE Dynamic Spectrum Access Networks, Baltimore, 8-11 November 2005, pp. 131-136.
[11] J. Shen, T. Jiang, S. Liu and Z. Zhang, “Maximum Channel throughput via Cooperative Spectrum Sensing in Cognitive Radio Networks,” IEEE Transaction on Wireless Communication, Vol. 8, No. 10, 2009, pp. 5166-5175.
http://dx.doi.org/10.1109/TWC.2009.081110
[12] S. M. Mishra, A. Sahai and R. W. Brodersen, “Cooperative Sensing among Cognitive Radios,” Proceeding of IEEE International Conference on Communication, Istanbul, 11-15 June 2006, pp. 1658-1663.
[13] S. Atapattu, C. Tellambura and H. Jiang, “Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks,” IEEE Transactions on Wireless Communications, Vol. 10, No. 4, 2011, pp. 1232-1241.
http://dx.doi.org/10.1109/TWC.2011.012411.100611
[14] H. Khalif, N. Malouch and S. Fdida, “Multihop Cognitive Radio Network: To Route or Not to Route,” IEEE Network, Vol. 23, No. 4, 2009, pp. 20-25.
http://dx.doi.org/10.1109/MNET.2009.5191142
[15] Y. Yuan, P. Bhal, R. Chandra, P. Chou, J. Ferrell, T. Moscibroda, S. Narlanka and Y. Wu, “KNOWS: Cognitive Networking over White Spaces,” Proceedings of 2nd IEEE DySPAN, Dublin, 17-20 April 2007, pp. 416-427.
[16] J. Jia, Q. Zhang and X. Shen, “HC_MAC: A HardwareConstrained Cognitive MAC for Efficient Spectrum Management,” IEEE Journal on Selected Areas in Communications, Vol. 26, No. 1, 2008, pp. 106-117.
http://dx.doi.org/10.1109/JSAC.2008.080110
[17] V. Ashgari, D. B. da-Costa and S. Aissa, “Performance Analysis of Multihop Relaying Channels with Nakagami-m Fading: Ergodic Capacity Upper-Bounds and Outage Probability,” IEEE Transaction on Communication, Vol. 60, No. 10, 2012, pp. 2761-2767.
http://dx.doi.org/10.1109/TCOMM.2012.081012.100156
[18] E. Morgado, I. Mora-Jimenez, J. J. Vinagre, J. Ramos and A. J. Caamano, “End-to-End Average BER in Multihop Wireless Networks over Fading Channels,” IEEE Transaction on Wireless Communication, Vol. 9, No. 8, 2010, pp. 2478-2487.
http://dx.doi.org/10.1109/TWC.2010.070710.090240
[19] N. C. Beaulieu and J. Hu, “A Closed-Form Expression for the Outage Probability of Decode-and-Forward Relaying in Dissimilar Rayleigh Fading Channels,” IEEE Communication Letter, Vol. 10, No. 12, 2006,pp. 813-815.
http://dx.doi.org/10.1109/LCOMM.2006.061048
[20] G. K. Karagiannidis, T. A. Tsiftsis and R. A. Mallik, “Bounds for Multihop Relayed Communications in Nakagami-m Fading,” IEEE Transactions on Communications, Vol. 54, No. 1, 2006, pp. 18-22.
http://dx.doi.org/10.1109/TCOMM.2005.861679
[21] H. A. Suraweera and G. K. Karagiannidis, “Closed-Form Error Analysis of the Non-Identical Nakagami-m Relay Fading Channel,” IEEE Communications Letters, Vol. 12, No. 4, 2008, pp. 259-261.
http://dx.doi.org/10.1109/LCOMM.2008.071922
[22] H. A. Suraweera, D. S. Michalopoulos and G. K. Karagiannidis, “Performance of Distributed Diversity Systems with a Single Amplify-and-Forward Relay,” IEEE Transactions on Vehicular Technology, Vol. 58, No. 5, 2009, pp. 2603-2608.
http://dx.doi.org/10.1109/TVT.2008.2007798
[23] N. C. Beaulieu and C. Cheng, “Efficient Nakagami-m Fading Channel Simulation,” IEEE Transaction on Vehicular Technology, Vol. 54, No. 2, 2005, pp. 413-424.
http://dx.doi.org/10.1109/TVT.2004.841555
[24] M. O. Hasna and M. S. Alouini, “A Performance Study of Dual-Hop Transmissions with Fixed Gain Relays,” IEEE Transactions on Wireless Communications, Vol. 3, No. 6, 2004, pp. 1963-1968.
http://dx.doi.org/10.1109/TWC.2004.837470
[25] Y. L. Zou, J. Zhu, B. Y. Zheng and Y.-D. Yao, “An Adaptive Cooperation Diversity Scheme with Best-Relay Selection in Cognitive Radio Networks,” IEEE Transactions on Signal Processing, Vol. 58, No. 10, 2010, pp. 54385445. http://dx.doi.org/10.1109/TSP.2010.2053708
[26] C. Tellambura, A. Annamalai and V. K. Bhargva, “Contour Integral Representation for Generalized Marcum-Q Function and Its Application to Unified Analysis of DualBranch Selection Diversity over Correlated Nakagami-m Fading Channels,” Proceeding of the 51st IEEE Vehicular Technology Conference, Tokyo, 15-18 May 2000, Vol. 2, pp. 1031-1034.
[27] S. Ikki and M. H. Ahmed, “Performance Analysis of Cooperative Diversity Wireless Networks over Nakagami-m Fading Channel,” IEEE Communications Letters, Vol. 11, No. 4, 2007, pp. 334-336.
http://dx.doi.org/10.1109/LCOM.2007.348292
[28] T. Wang, A. Cano, G. B. Giannakis and J. N. Laneman, “High Performance Cooperative Demodulation with Decode-and-Forward Relays,” IEEE Transaction on Communication, Vol. 55, No. 4, 2007, pp. 1427-1438.
http://dx.doi.org/10.1109/TCOMM.2007.900631

  
comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.