Skip to main content
SpringerLink
Log in

A distributed method for relay selection in cooperative cognitive radio networks

  • Published:
Journal of Electronics (China)

Abstract

We analyze the performance of a fully decentralized relay-selection method for the relay-assisted Cognitive Radio (CR) systems. The method requires no explicit communication among relay, assumes no prior knowledge of geometry. In particular, we assume that the frequencies chosen by the relay-assisted CR network overlapped with an active primary link. The proposed relay-selection scheme decreases the outage probability by considering both the channel scenario and the interference to the primary link compared with the non-cooperative transmission. Benefits of cooperative diversity are increased with the increased number of relays.

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

Access this article

Log in via an institution

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. S. Haykin. Cognitive radio: Brain-empowered wireless communications. Journal on Selected Areas in Communications, 23(2005)2, 201–220.

    Article  Google Scholar 

  2. Sendonaris, E. Erkip, and B. Aazhang. User cooperation diversity-part I: system description. IEEE Transations on Communications, 51(2003)11, 1927–1938.

    Article  Google Scholar 

  3. Sendonaris, E. Erkip and B. Aazhang. User cooperation diversity-part II: implementation aspects and performance analysis. IEEE Transations on Communications, 51(2003)11, 1939–1948.

    Article  Google Scholar 

  4. Dong Li and Xianua Dai. Power control in cooperative cognitive radio networks by geometric programming. in Proceedings of 15th Asia-Pacific Conference on Communications, 2009 (APCC’ 2009), Shanghai, China, Oct. 2009, 118–121.

  5. A. Ghasemi and E. S. Sousa. Spectrum sensing in cognitive radio networks: Requirements, challenges and design trade-offs. IEEE Communications Magazine, 46 (2008)4, 32–39.

    Article  Google Scholar 

  6. H. Zhang, X. Zhou, K. Y. Yazdandoost, and I. Chlamtac. Multiple signal waveforms adaptation in cognitive ultra-wideband radio evolution. Journal on Selected Areas in Communications, 24(2006)4, 878–884.

    Article  Google Scholar 

  7. C. Sun and K. B. Letaief. User cooperation in heterogeneous cognitive radio networks with interference reduction. in Proceedings IEEE International Conference on Communications (ICC), Beijing, China, 2008, 3193–3197.

  8. J. Mietzner, L. Lampe, and R. Schober. Distributed transmit power allocation for relay-assisted cognitive-radio systems. in Proceedings of Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, USA, Nov. 2007, 792–796.

  9. J. Mietzner, L. Lampe, and R. Schober. Performance analysis for a fully decentralized transmit power allocation scheme for relay-assisted cognitive-radio systems. in Proceedings of IEEE Global Communieations Conference (Globecom’ 2008), New Orleans, Louisiana, USA, Nov./Dec. 2008, 1–6.

  10. Chun-Gang Yang, Jian-Dong Li, and Zhi Tian. Optimal power control for cognitive radio networks under coupled interference constraints: A cooperative gametheoretic perspective. IEEE Transactions on Vehicu lar Technology, 59(2010)4, 1696–1706.

    Article  Google Scholar 

  11. A. Bletsas, D. P. Reed, A. Khisti, and A. Lippman. A simple distributed method for relay selection in cooperative diversity wireless networks, based on reciprocity and channel measurements. in Proceedings of IEEE Vehicular Technology Conference, Stockholm, Sweden, May 2005, 1484–1488.

  12. V. Brik, E. Rozner, S. Banarjee, and P. Bahl. DSAP: A protocol for coordinated spectrum access. in Proceedings of IEEE DySPAN 2005, Baltimore, MD, November 2005, 611–614.

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

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, China

    Junhui Zhao

  2. Faculty of Science and Technology, Macau University, Macau, China

    Ximei Chen

  3. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China

    Junhui Zhao & Ximei Chen

Authors
  1. Junhui Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ximei Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Junhui Zhao.

Additional information

Supported by the Key Laboratory of Universal Wireless Communications Lab., Beijing University of Posts and Telecommunications, Ministry of Education, the Open Research Fund of National Mobile Communications Research Laboratory (No. W200906), Southeast University, the Fundamental Research Funds for the Central Universities, and National Natural Science Foundation of China (No. 50534060).

Communication author: Zhao Junhui, born in 1973, male, Associate Professor.

About this article

Cite this article

Zhao, J., Chen, X. A distributed method for relay selection in cooperative cognitive radio networks. J. Electron.(China) 27, 715–722 (2010). https://doi.org/10.1007/s11767-011-0513-0

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11767-011-0513-0

Key words

CLC index

Search

Navigation