Skip to main content
Log in

Performance Analysis of Partial Relay Selection in Cooperative Spectrum Sharing Systems

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In recent years, cooperative diversity and cognitive radio have received considerable attention from the wireless communications community due to its performance gains and spectrum utilization improvements, respectively, when compared to the traditional communications techniques. In one hand, cooperative diversity combats the signal fading caused by the multipath propagation. On the other hand, cognitive radio offers an efficient way to enhance spectrum utilization. However, these two promising technologies have been usually studied apart. In this paper, motivated by the important benefits of cooperative communications, we introduce decode-and-forward relays in primary/secondary spectrum sharing systems with the aim to provide a higher performance for the secondary user. Our analysis considers a partial relay selection in the first-hop transmission, with the relay nodes pertaining to the selected cluster positioned relatively close together (location-based clustering). The end-to-end performance of the secondary communication is investigated for several number of fading channels, such as Generalized Gamma (or αμ), Nakagami-m, and Rayleigh. In particular, considering Rayleigh fading channels, closed-form expressions for the average bit error rate and outage probability are derived. Illustrative numerical examples are provided and the influence of the number of relays, fading parameters, and noise power imbalance between the hops on system performance is discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Laneman J. N., Tse D. N. C., Wornell G. W. (2004) Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory 50(12): 3062–3080

    Article  MathSciNet  Google Scholar 

  2. Sendonaris A., Erkip E., Aazhang B. (2003) User cooperation diversity—part I: System description. IEEE Transactions on Communications 51(11): 1927–1938

    Article  Google Scholar 

  3. da Costa D. B., Aíssa S. (2010) Performance analysis of relay selection techniques with clustered fixed-gain relays. IEEE Signal Processing Letters 17(2): 201–204

    Article  Google Scholar 

  4. Mitola J. et al (1999) Cognitive radio: Making software radio more personal. IEEE Personal Communications, 6(4): 13–18

    Article  Google Scholar 

  5. Gastpar M. (2007) On capacity under receive and spatial spectrum-sharing constraints. IEEE Transactions on Information Theory 53(2): 471–487

    Article  MathSciNet  Google Scholar 

  6. Musavian L., Aïssa S. (2009) Fundamental capacity limits of cognitive radios in fading environments with imperfect channel information. IEEE Transactions on Wireless Communications 57(11): 3472–3480

    Google Scholar 

  7. Musavian, L., & Aïssa, S. (2009). Cross-layer analysis of cognitive radio relay networks under quality of service constraints. In Proceedings of IEEE Vehicular Technology Conference (VTC-S’09), Barcelona, Spain (pp. 1–5).

  8. Zhang Q., Jia J., Zhang J. (2009) Cooperative relay to improve diversity in cognitive radio networks. IEEE Communication Magazine 47(2): 111–117

    Article  Google Scholar 

  9. Zhang W., Ben Letaief K. (2009) Cooperative communications for cognitive radio networks. Proceedings of IEEE Communication Magazine 97(5): 878–893

    Google Scholar 

  10. Asghari, V., & Aïssa, S. (2010). Cooperative relay communication performance under spectrum-sharing rsource requirements. In Proceedings of IEEE International Conference on Communications (ICC), Cape Town, Africa.

  11. Luo L., Zhang P., Zhang G., Qin J. (2011) Outage performance for cognitive relay networks with underlay spectrum sharing. IEEE Communication Letters 15(7): 710–712

    Article  Google Scholar 

  12. Krikidis I., Thompson J., McLaughlin S., Goertz N. (2008) Amplify-and-forward with partial relay selection. IEEE Communication Letters 12(4): 235–237

    Article  Google Scholar 

  13. da Costa D. B., Aïssa S. (2009) End-to-end performance of dual-hop semi-blind relaying systems with partial relay selection. IEEE Transactions on Wireless Communications 8(8): 4306–4315

    Article  Google Scholar 

  14. Yacoub M. D. (2007) The α−μ distribution: A physical fading model for the Stacy distribution. IEEE Transactions on Vehicular Technology 56(1): 27–34

    Article  Google Scholar 

  15. Nakagami M. (1960) The m-distribution—A general formula of intensity distribution of rapid fading, statistical methods in radio wave propagation. Pergamon, Elmsford

    Google Scholar 

  16. Peha J. M. (2005) Approaches to spectrum sharing. IEEE Communications Magazine 43(2): 10–12

    Article  Google Scholar 

  17. Zhang, R., & Liang, Y. C. (2008). Exploiting hidden power-feedback loops for cognitive radio. In Proceedings of 3rd IEEE DySPAN (pp. 1–5).

  18. Buljore S., Harada H., Filin S., Houze P., Tsagkaris K., Holland O., Nolte K., Farnham T., Ivanov V. (2009) Architecture and enablers for optimized radio resource usage in heterogeneous wireless access networks: The IEEE 1900.4 working group. IEEE Communications Magazine 47(1): 122–129

    Article  Google Scholar 

  19. Zhao Q., Geirhofer S., Tong L., Sadler B. M. (2008) Opportunistic spectrum access via periodic channel sensing. IEEE Transactions on Signal Processing 56(2): 785–796

    Article  MathSciNet  Google Scholar 

  20. Gradshteyn I. S., Ryzhik I. M. (2007) Table of integrals, series, and products (7th ed.). Academic, San Diego, CA

    MATH  Google Scholar 

  21. Hasna M. O., Alouini M.-S. (2003) End-to-end performance of transmission systems with relays over Rayleigh-fading channels. IEEE Transactions on Wireless Commmunications 2(6): 1126–1131

    Article  Google Scholar 

  22. Zhao Y., Adve R., Lim T. J. (2006) Symbol error rate of selection amplify-and-forward relay systems. IEEE Communications Letters 10(11): 757–759

    Article  Google Scholar 

  23. Papoulis, A. (2002). Probability, random variables, and stochastic processes (4th ed.). New York, NY: McGraw-Hill.

  24. Abramowitz M., Stegun I. A. (1972) Handbook of mathematical functions with formulas, graphs, and mathematical tables. Dover, New York, NY

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Charles Casimiro Cavalcante.

Rights and permissions

Reprints and permissions

About this article

Cite this article

da Costa, D.B., Aïssa, S. & Cavalcante, C.C. Performance Analysis of Partial Relay Selection in Cooperative Spectrum Sharing Systems. Wireless Pers Commun 64, 79–92 (2012). https://doi.org/10.1007/s11277-012-0518-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-012-0518-5

Keywords

Navigation