Skip to main content
SpringerLink
Log in

Spatial Spectrum Reuse for Opportunistic Spectrum Access in Infrastructure-Based Systems

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Opportunistic spectrum access (OSA) receives a constantly growing interest due to its potential to mitigate spectrum scarcity and meet the increasing communication needs of mobile users. OSA refers to identifying and exploiting spatiotemporal unused portions of licensed spectrum to allow communication among unlicensed–secondary users (SUs) without adverse impact to the licensees (primary users—PUs). Key parameters in OSA are the spectrum opportunities detection method used by the SUs, and the interference level perceived by the PUs. A spatial spectrum reuse framework is proposed, where broadcast messages of an infrastructure-based primary system are exploited and combined with location-aware methods to detect spectrum opportunities and establish interference-free secondary links. The study of secondary link establishment probabilities revealed a spectrum reuse of up to 25% for omni-directional and up to 90% for directional antennas. Moreover, increased throughput is achieved in both cases, with directional antennas attaining significantly better performance.

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. Akyildiz I. F., Lee W.-Y., Vuran M. C., Mohanty S. (2006) NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks Journal (Elsevier) 50(3): 2127–2159

    Article  MATH  Google Scholar 

  2. Mitola, J. (1999). Cognitive radio for flexible mobile multimedia communication. In Proceedings of IEEE international workshop on mobile multimedia communications (MoMuC), San Diego, November 15–17, 1999 (pp. 3–10).

  3. Zhao Q., Sadler B. (2007) A survey of dynamic spectrum access. IEEE Signal Processing Magazine 24(3): 79–89

    Article  Google Scholar 

  4. Yucek T., Arslan H. (2007) A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communication Surveys and Tutorials 11(1): 116–130

    Article  Google Scholar 

  5. Zhao Q., Tong L., Swami A., Chen Y. (2007) Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework. IEEE Journal on Selected Areas in Communications 2007 25(3): 589–600

    Article  Google Scholar 

  6. Xiang J., Zhang Y., Skeie T. (2010) Medium access control protocols in cognitive radio networks. Wireless Communications and Mobile Computing 10(1): 31–49

    Article  Google Scholar 

  7. Jia J., Zhang Q., Shen X. (2008) HC-MAC: A hardware-constrained cognitive MAC for efficient spectrum management. IEEE Journal on Selected Areas in Communications 26(1): 106–117

    Article  Google Scholar 

  8. Su, H., & Zhang, X. (2008). CREAM-MAC: An efficient cognitive radio enabled multi-channel MAC protocol for wireless networks. In Proceedings of international symposium on a world of wireless, mobile and multimedia networks (WoWMoM 2008), Newport Beach, June 23–26, 2008 (pp. 1–8).

  9. Hamdaoui B., Shin K. (2008) OS-MAC: An efficient MAC protocol for spectrum-agile wireless networks. IEEE Transactions on Mobile Computing 7(8): 915–930

    Article  Google Scholar 

  10. Ma, L., Han, X., & Shen, C.-C. (2005). Dynamic open spectrum sharing MAC protocol for wireless ad hoc networks. In Proceedings of the IEEE DySPAN 2005, Baltimore, November 8–11, 2005 (pp. 203–213).

  11. Kondareddy, Y., & Agrawal, P. (2008). Synchronized MAC protocol for multi-hop cognitive radio networks. In Proceedings of IEEE international conference on communications 2008 (ICC ’08), Beijing, 19–23 May, 2008 (pp. 3198–3202).

  12. Huang K., Lau V. K. N., Chen Y. (2009) Spectrum sharing between cellular and mobile ad hoc networks: Transmission-capacity trade-off. IEEE Journal on Selected Areas in Communications 27(7): 1256–1267

    Article  Google Scholar 

  13. Tsolkas, D., Passas, N., & Merakos, L. (2011). Increasing spectrum utilization in wireless infrastructure-based systems. In Proceedings of the 16th IEEE symposium on computers and communications 2011 (ISCC’11), Corfu, Greece, 28 June–1 July, 2011.

  14. Wang L.-C., Chen A. (2009) Effects of location awareness on concurrent transmissions for cognitive ad hoc networks overlaying infrastructure based systems. IEEE Transactions on Mobile Computing 8(5): 577–589

    Article  Google Scholar 

  15. Andrews J. G., Ghosh A., Muhamed R. (2007) Fundamentals of WiMAX: Understanding Broadband Wireless Networking. Upper Saddle River, NJ: Prentice Hall

    Google Scholar 

  16. Mark B. L., Nasif A. O. (2009) Estimation of interference-free power for opportunistic spectrum access. IEEE Transactions on Wireless Communications 8(5): 2505–2513

    Article  Google Scholar 

  17. Kim, S., Jeon, H., & Ma, J. (2007). Robust localization with unknown transmission power for cognitive radio. In Proceedings of IEEE internatioanal conference on military communications (Milcom’07), Orlando, October 29–31, 2007 (pp. 1–6).

  18. Porretta M., Nepa P., Manara G., Giannetti F., Dohler M., Allen B. et al (2004) A novel single base station location technique for microcellular wireless networks: Description and validation by a deterministic propagation model. IEEE Transactions on Vehicular Technology 53(5): 1502–1514

    Article  Google Scholar 

  19. Leu E., McHenry M., Mark B. L. (2006) Modeling and analysis of interference in listen-before-talk spectrum access schemes. International Journal of Network Management 16(2): 131–147

    Article  Google Scholar 

  20. IEEE standard for wireless LAN medium access control (MAC) and physical layer (PHY) specifications, P802.11, June 2007.

  21. Bianchi G. (2000) Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Area in Communications 18(3): 535–547

    Article  Google Scholar 

  22. Chatzimisios P., Boucouvalas A. C., Vitsas V. (2005) Performance analysis of the IEEE 802.11 MAC protocol for wireless LANs. Wiley International Journal of Communication Systems 18(6): 545–569

    Article  Google Scholar 

  23. Pei Y., Liang Y.-C., The K., Li K. (2009) How much time is needed for wideband spectrum sensing?. IEEE Transactions on Wireless Communications 8(11): 5466–5471

    Article  Google Scholar 

  24. Kim H., Shin K. G. (2010) In-band spectrum sensing in IEEE 802.22 WRANs for incumbent protection. IEEE Transactions on Mobile Computing 9(12): 1766–1779

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Informatics and Telecommunications, University of Athens, 15701, Athens, Greece

    Dimitris Tsolkas, Nikos Passas & Lazaros Merakos

Authors
  1. Dimitris Tsolkas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nikos Passas
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lazaros Merakos
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dimitris Tsolkas.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tsolkas, D., Passas, N. & Merakos, L. Spatial Spectrum Reuse for Opportunistic Spectrum Access in Infrastructure-Based Systems. Wireless Pers Commun 69, 1749–1772 (2013). https://doi.org/10.1007/s11277-012-0661-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-012-0661-z

Keywords

Search

Navigation