Share This Article:

Outage Performance of Cognitive Relay Networks with Best Relay Selection in Nakagami-m Channels

Abstract Full-Text HTML Download Download as PDF (Size:127KB) PP. 166-170
DOI: 10.4236/cn.2013.53B2032    3,246 Downloads   4,367 Views   Citations

ABSTRACT

This paper investigates the outage performance of a cognitive relay network considering best relay selection in Nakagami-m fading environment. The secondary user is allowed to use the spectrum when it meets the interference constraints predefined by primary user. Due to deep fading, cognitive source is unable to communicate directly with cognitive destination. As such, multiple relays are ready to deliver the signal from the cognitive source to cognitive destination. We select a single best relay and the selected relay uses decode-and-forward protocol. Specifically, we derive the exact outage probability expression, which provides an efficient means to evaluate the effects of several parameters. Finally, numerical simulation results are presented, which validate the correctness of the analytical analysis.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Zhang, Z. , Wu, Q. , Wang, J. , Zheng, X. , Shao, X. and Tan, C. (2013) Outage Performance of Cognitive Relay Networks with Best Relay Selection in Nakagami-m Channels. Communications and Network, 5, 166-170. doi: 10.4236/cn.2013.53B2032.

References

[1] Federal Communication Commission (FCC). ET Docket No 03-322: Notice of Proposed Rule Making and Order in the Matter of Facilitating Opportunities for Flexible, Efficient, and Reliable Spectrum Use Employing Cognitive Radio Technologies. Washington DC (USA), 2003.
[2] Z. Zhang, Q. Wu and J. Wang, “Energy-efficient Power Allocation Strategy in Cognitive Relay Networks,” Radio Engineering, Vol. 21, No. 3, 2012, pp. 809-814.
[3] Y. Xu, et al., “Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-theoretic Stochastic Learning Solution,” IEEE Transactions on Wireless Commun., Vol. 11, No. 4, 2012, pp. 1380-1391, 2012.
[4] J. Mitola, Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio. Ph. D. Dissertation. Stockholm (Sweden): Royal Institute of Technology (KTH), 2000.
[5] Y. Zou, et al., “Cooperative Relay Techniques for Cognitive Radio Systems: Spectrum Sensing and Secondary User Transmission,” IEEE Communications Magazine, Vol. 50, No. 4, 2012, pp. 98-103.doi:10.1109/MCOM.2012.6178840
[6] S. ikki and M. H. Ahmed, “Performance Analysis of Adaptive Decode-and-forward Cooperative Diversity Networks with Best Relay Selection,” IEEE Transactions Communications, Vol. 58, No. 1, 2010, pp. 68-72. doi:10.1109/TCOMM.2010.01.080080
[7] A. Bletsas, H. Shin, M. Z. Win and A. Lippman, “A Simple Cooperative Diversity Method Based on Network Path Selection,” IEEE J. Sel. Areas Commun., Vol. 24, No. 3, 2006, pp. 659-672. doi:10.1109/JSAC.2005.862417
[8] Q. Wu, Z. Zhang and J. Wang, “Outage Analysis of Cognitive Relay Networks with Relay Selection under Imperfect CSI Environment,” IEEE Commun. Letters.
[9] J. Wang, Z. Zhang, Q. Wu and Y. Huang, “Outage Analysis of Cognitive Relay Networks with Interference Constraints in Nakagami-m Channels,” IEEE Wireless Commun. Letters.
[10] Y. Zou, et al., “Cooperative Relay Techniques for Cognitive Radio Systems: Spectrum Sensing and Secondary User Transmissions,” IEEE Communications Magazine, Vol. 50, No. 4, 2012, pp. 98-103. doi:10.1109/MCOM.2012.6178840
[11] T. Q. Duong, et al., “Cognitive Relay Networks with Multiple Primary Transceivers under Spectrum-Sharing,” IEEE Signal Processing Letters, Vol. 19, No. 11, 2012, pp. 741-744. doi:10.1109/LSP.2012.2217327
[12] C. Zhong, et al., “Outage Analysis of Decode-and-forward Cognitive Dual-hop Systems with the Interference Constraint in Nakagami-m Fading Channels,” IEEE Transactions Vehicular Technology, Vol. 60, No. 5, 2012, pp. 2368-2374.
[13] T. Q. Duong, et al., “Cognitive Amplify-and-forward Relay Networks over Nakagami-m Fading,” IEEE Transactions Vehicular Technology, Vol. 61, No. 5, 2012, pp. 2368-2374. doi:10.1109/TVT.2012.2192509
[14] T. Q. Duong, et al., “Outage and Diversity of Cognitive Relaying Systems under Spectrum Sharing Environments in Nakagami-m fading,” IEEE Communications Letters, Vol. 16, No. 12, 2012, pp. 2075-2078. doi:10.1109/LCOMM.2012.100812.121859
[15] L. Luo, P. Zhang, G. Zhang and J. Qin, “Outage Performance for Cognitive Relay Networks with Underlay Spectrum Sharing,” IEEE Communications Letters, Vol. 15, No. 7, 2011.pp.710-712 doi:10.1109/LCOMM.2011.051011.110426
[16] K. B. Fredj, et al., “Performance of amplify-and-forward systems with partial relay selection under spectrum—haring constraints,” IEEE Transactions Wireless Commun., Vol. 11, No. 2, 2012.
[17] I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 5th ed. Orlando, FL: Academic, 1994.

  
comments powered by Disqus

Copyright © 2019 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.