Skip to main content

Interference Rejection Combining for Black-Space Cognitive Radio Communications

  • Conference paper
  • First Online:
Cognitive Radio Oriented Wireless Networks (CROWNCOM 2018)

Abstract

This paper focuses on multi-antenna interference rejection combing (IRC) based black-space cognitive radio (BS-CR) operation. The idea of BS-CR is to transmit secondary user (SU) signal in the same frequency band with the primary user (PU) such that SU’s power spectral density is clearly below that of the PU, and no significant interference is inflicted on the PU receivers. We develop a novel blind IRC technique which allows such operation mode for effective reuse of the PU spectrum for relatively short-distance CR communication. We assume that both the PU system and the BS-CR use orthogonal frequency division multiplexing (OFDM) waveforms with common frame structure. In this case the PU interference on the BS-CR signal is strictly flat-fading at subcarrier level. Sample covariance matrix based IRC adaptation is applied during silent gaps in CR operation. During CR transmission, the target signal detection and channel estimation utilize multiple outputs from the IRC process obtained with linearly independent steering vectors. The performance of the proposed IRC scheme is tested considering terrestrial digital TV broadcasting (DVB-T) as the primary service. The resulting interference suppression capability is evaluated with different PU interference power levels, silent gap durations, and CR device mobilities.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Yucek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun. Surv. Tutor. 11(1), 116–129 (2009)

    Article  Google Scholar 

  2. Liang, Y.C., Hoang, A.T., Zeng, Y., Zhang, R.: A review on spectrum sensing for cognitive radio: challenges and solutions. In: EURASIP J. Adv. Signal Process., 1–15 (2010)

    Google Scholar 

  3. Dikmese, S., Srinivasan, S., Shaat, M., Bader, F., Renfors, M.: Spectrum sensing and resource allocation for multicarrier cognitive radio systems under interference and power constraints. EURASIP J. Adv. Signal Process. 2014, 68 (2014)

    Article  Google Scholar 

  4. Wyglinski, A.M., et al.: Cognitive Radio Communications and Networks: Principles and Practice. Academic Press, Cambridge (2010)

    Google Scholar 

  5. Selén, Y., Baldemair, R., Sachs, J.: A short feasibility study of a cognitive TV black space system. In: Proceedings of IEEE PIMRC, Toronto, ON, pp. 520–524 (2011)

    Google Scholar 

  6. Rico-Alvariño, A., Mosquera, C.: Overlay spectrum reuse in a broadcast network: covering the whole grayscale of spaces. In: Proceedings of IEEE DySPAN 2012, WA, pp. 479–488 (2012)

    Google Scholar 

  7. Wei, Z., Feng, Z., Zhang, Q., Li, W.: Three regions for space-time spectrum sensing and access in cognitive radio networks. IEEE Trans. Veh. Technol. 64(6), 2448–2462 (2015)

    Article  Google Scholar 

  8. Beyene, Y., Ruttik, K., Jantti, R.: Effect of secondary transmission on primary pilot carriers in overlay cognitive radios. In: Proceedings of CROWNCOM 2013, Washington, DC, pp. 111–116 (2013)

    Google Scholar 

  9. Carleial, A.B.: A case where interference does not reduce capacity. IEEE Trans. Inf. Theory 21, 569–570 (1975)

    Article  MathSciNet  Google Scholar 

  10. Devroye, N., Mitran, P., Tarokh, V.: Achievable rates in cognitive radio channels. IEEE Trans. Inf. Theory 52, 1813–1827 (2006)

    Article  MathSciNet  Google Scholar 

  11. Verdu, S.: Multiuser Detection. Cambridge University Press, Cambridge (1998)

    MATH  Google Scholar 

  12. Winters, J.: Optimum combining in digital mobile radio with cochannel interference. IEEE Trans. Veh. Technol. 2(4), 539–583 (1984)

    Google Scholar 

  13. Liaster, J., Reed, J.: Interference rejection in digital wireless communication. IEEE Signal Process. Mag. 14(3), 37–62 (1997)

    Article  Google Scholar 

  14. Klang, G.: On interference rejection in wireless multichannel systems. Ph.D. thesis, KTH, Stockholm, Sweden (2003)

    Google Scholar 

  15. Beach, M.A., et al.: Study into the application of interference cancellation techniques. Roke Manor Research Report 72/06/R/036/U, April 2006

    Google Scholar 

  16. Bakr, O., Johnson, M., Mudumbai, R., Ramchandran, K.: Multi-antenna interference cancellation techniques for cognitive radio applications. In: Proceedings of IEEE WCNC (2009)

    Google Scholar 

  17. Cheng, C.C., Sezginer, S., Sari, H., Su, Y.T.: Linear interference suppression with covariance mismatches in MIMO-OFDM systems. IEEE Trans. Wirel. Commun. 13, 7086–7097 (2014)

    Article  Google Scholar 

  18. Srinivasan, S., Dikmese, S., Menegazzo, D., Renfors, M.: Multi-antenna interference cancellation for black space cognitive radio communications. In: IEEE Globecom Workshops, San Diego, CA, pp. 1–6 (2015)

    Google Scholar 

  19. Ladebusch, U., Liss, C.A.: Terrestrial DVB (DVB-T): a broadcast technology for stationary portable and mobile use. Proc. IEEE 94(1), 183–193 (2006)

    Article  Google Scholar 

  20. Haykin, S.: Adaptive Filter Theory, 4th edn. Prentice-Hall, Upper Saddle River (2001)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sudharsan Srinivasan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Srinivasan, S., Renfors, M. (2019). Interference Rejection Combining for Black-Space Cognitive Radio Communications. In: Moerman, I., Marquez-Barja, J., Shahid, A., Liu, W., Giannoulis, S., Jiao, X. (eds) Cognitive Radio Oriented Wireless Networks. CROWNCOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 261. Springer, Cham. https://doi.org/10.1007/978-3-030-05490-8_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05490-8_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05489-2

  • Online ISBN: 978-3-030-05490-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics