Skip to main content
SpringerLink
Log in

Efficient Spectrum Allocation and Time of Arrival Based Localization in Cognitive Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Position of the primary user is significant to the transmission among secondary users in cognitive networks (CN). In this paper, orthogonal frequency division multiplexing (OFDM)-based spectrum allocation and time of arrival-based localization are proposed for the devised CN. Crame–Rao lower bound for range estimation is theoretically derived in terms of the proposed spectrum allocation in CN, compared with that of the nonoverlapped allocation in CN and OFDM-based static spectrum allocation in noncognitive networks (NCN). The 2D localization accuracy is investigated based on horizontal dilution of precision (HDOP). The theoretical minimum HDOP is explored and the corresponding network topology to attain the minimum HDOP is provided. Theoretical analysis and simulation results demonstrate that the proposed spectrum allocation in CN exhibits a much better ranging and localization accuracy, and a better data transmission rate than the nonoverlapped spectrum allocation in CN, no matter the designed spectrum with nonoverlapped allocation is a sinc function or a rectangle. Also, the proposed spectrum allocation in CN is demonstrated to have a better ranging and localization accuracy than OFDM-based static spectrum allocation in NCN.

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. Weiss T. A., Jondral F. K. (2004) Spectrum pooling: An innovative strategy for the enhancement of spectrum efficiency. IEEE Communications Magazine 42(3): S8–S14

    Article  Google Scholar 

  2. Thomas, R. W., Da Silva, L. A., MacKenzie, A. B., et al. (2005). Cognitive networks. In Proceedings of IEEE international symposium on new frontiers in dynamic spectrum access networks (pp. 352–360).

  3. Gong, D., Ma, Z., Li, Y., Chen, W., Cao, Z., et al. (2008). High order geometric range free localization in opportunistic cognitive sensor networks. In Proceedings of IEEE international conference on communations (pp. 139–143).

  4. Urruela A., Sala J., Riba J. (2006) Average performance analysis of circular and hyperbolic geolocation. IEEE Transactions on Vehicular Technology 55(1): 52–66

    Article  Google Scholar 

  5. Sayed A. H., Tarighat A., Khajehnouri N. (2005) Network-based wireless location: Challenges faced in developing techniques for accurate wireless location information. IEEE Signal Processing Magazine 22(4): 24–40

    Article  Google Scholar 

  6. Gustafsson F., Gunnarsson F. (2005) Mobile positioning using wireless networks: Possibilities and fundamental limitations based on available wireless network measurements. IEEE Signal Processing Magazine 22(4): 41–53

    Article  Google Scholar 

  7. Do, J., Rabinowitz, M., Enge, P., et al. (2006). Performance of TOA and TDOA in a non-homogeneous transmitter network combining GPS and terrestrial signals. In Proceeding of ION National Technical Meeting (pp. 642–649).

  8. Guvenc I., Chong C. (2009) A survey on TOA based wireless localization and NLOS mitigation techniques. IEEE Communications Surveys and Tutorials 11(3): 107–124

    Article  Google Scholar 

  9. Kim, S., Jeon, H., Ma, J., et al. (2007). Robust localization with unknown transmission power for cognitive radio. In Proceedings of IEEE military communication conference (pp. 1–6).

  10. Wang D., Fattouche M. (2010) OFDM transmission for time-based range estimation. IEEE Signal Processing Letters 17(6): 571–574

    Article  Google Scholar 

  11. Wang D., Fattouche M. (2010) Multipath mitigation for LOS TBRE using NDB OFDM transmission and phase correlation. IET Electronics Letters 46(21): 1467–1468

    Article  Google Scholar 

  12. Zhao G., Wang D., Fattouche M. (2011) Time sum of arrival based BLUE for mobile target positioning. Advanced Scienced Letters 4(1): 165–167

    Article  Google Scholar 

  13. Zhao, G., Wang, D., Fattouche, M., et al. (2011). Novel wireless positioning system for OFDM-based cellular networks. IEEE Systems Journal (accepted).

  14. Kay S. M. (1998) Fundamentals of statistical signal processing: Estimation theory. Prentice-Hall PTR, Upper Saddle River, NJ

    Google Scholar 

  15. Sang-Seon, B., Balasingham, I., Liang, X., et al. (2008). Dynamic spectrum allocation in wireless cognitive sensor networks: Improving fairness and energy efficiency. In Proceedings of IEEE vehicular technology conference (pp. 1–5).

  16. Athley F. (2005) Threshold region performance of maximum likelihood direction of arrival estimators. IEEE Transactions on Signal Processing 53(4): 1359–1373

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, T2N 1N4, Canada

    Donglin Wang, Henry Leung, Michel Fattouche & Fadhel Ghannouchi

Authors
  1. Donglin Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Henry Leung
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Michel Fattouche
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fadhel Ghannouchi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Donglin Wang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, D., Leung, H., Fattouche, M. et al. Efficient Spectrum Allocation and Time of Arrival Based Localization in Cognitive Networks. Wireless Pers Commun 66, 813–831 (2012). https://doi.org/10.1007/s11277-011-0365-9

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-011-0365-9

Keywords

Search

Navigation