Skip to main content

Advertisement

Log in

Abstract

Green cognitive radio is a cognitive radio (CR) that is aware of sustainable development issues and deals with an additional constraint as regards the decision-making function of the cognitive cycle. In this paper, it is explained how the sensors distributed throughout the different layers of our CR model could help on taking the best decision in order to best contribute to sustainable development.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

Notes

  1. Since sensors are the heart of this paper, they will be noted for the rest of the paper in italic letters

References

  1. United Nations (1987) Report of the world commission on environment and development. In: General assembly resolution 42/187, 11 December 1987. Retrieved 2007-04-12

  2. Palicot J, Roland C (2005) On the use of cognitive radio for decreasing the electromagnetic radiations. In: URSI 05, XXVIII general assembly, New Delhi, India, 23–29 October 2005

  3. SUPELEC (2009) Next generation wireless green networks workshop. http://www-prod-gif.supelec.fr/d2ri/flexibleradio/Workshops/Greenworkshop/index.html

  4. Palicot J (2009) Cognitive radio: an enabling technology for the green radio communications concept. In: IWCMC’09, Leipzig, Germany

  5. Mitola J (2000) Cognitive radio. PhD dissertation, Royal Inst. of Tech., Sweden

  6. Mitola J (1995) The software radio architecture. IEEE Commun Mag 33(5):26–38

    Article  Google Scholar 

  7. Palicot J, Moy C, Hachemani R (2009) Multilayer sensors for the sensorial radio bubble. Phys Commun 2(1–2):151–165

    Google Scholar 

  8. Mitola III J, Maguire Jr GQ (1999) Cognitive radio: making software radios more personal. IEEE Pers Commun 6(4):13–18

    Article  Google Scholar 

  9. Palicot J, Zhang X, Leray P, Moy C (2010) Cognitive radio and green communications: power consumption consideration. In: IRSSP conference, Sofia, Bulgarian

  10. Delorme J, Nafkha A, Leray P, Moy C (2009) New OPBHWICAP interface for realtime partial reconfiguration of FPGA. In: International conference on reconfigurable computing and FPGAs

  11. Gupte A, Jones P (2009) Hotspot mitigation using dynamic partial reconfiguration for improved performance. In: International conference on reconfigurable computing and FPGAs

  12. McNally D (1994) The vanishing universe, p 208. Cambridge University Press, Cambridge, UK. ISBN 0521450209

    Google Scholar 

  13. Percy J (1998) Preserving the astronomical windows by/for education and culture. In: ASP conference series, vol 139

  14. http://www.nrao.edu/index.php/learn/radvioastronomy/interference

  15. Zhang H (2008) Cognitive radio for green communications and green spectrum. In: COMNETS 08 co-located with CHINACOM 08, 25–27 August 2008, Hangzhou, China

  16. Mahesh R, Vinod AP, Moy C, Palicot J (2008) A low complexity reconfigurable filter bank architecture for spectrum sensing in cognitive radios. In: CROWNCOM 2008, Singapore

  17. Jouini W, Moy C, Palicot J (2012) Decision making for cognitive radio equipment: analysis of the first 10 years of exploration. In: EURASIP journal on wireless communications and networking, vol 2012, p 26

  18. He A, Kyung KB, Newman TR, Gaeddert J, Kyouwoong K, Menon R, Morales-Tirado L, Neel JJ, Zhao Y, Reed JH, Tranter WH (2010) A survey of artificial intelligence for cognitive radios. IEEE Trans Veh Technol 59(4):1578–1592

    Article  Google Scholar 

  19. Jouini W, Ernst D, Moy C, Palicot J (2010) Upper confidence bound based decision making strategies and dynamic spectrum access. In: International communication conference, ICC’10, Cape Town, South Africa

  20. Wang B, Wu Y, Liu KJR (2010) Game theory for cognitive radio networks: an overview. Comput Netw 54:2537–2561

    Article  MATH  Google Scholar 

  21. Azamasab E, Kempter R, Patwari N, Farhang-Boroujen B (2007) Filterbank multicarrier and multicarrier CDMA for cognitive radio systems. In: Cognitive radio oriented wireless networks and communications, 2007. CrownCom 2007

  22. Skrzypczak A, Palicot J, Siohan P (2012) OFDM/OQAM modulation for efficient dynamic spectrum access. Int J Commun Netw Distrib Syst 8(3/4):247–266

    Google Scholar 

  23. Renfors M, Siohan P, Farhang-Boroujeny B, Bader F (2010) Filter bank for next generation multicarrier wireless system. In: Eurasip journal on advances on signal processing (ASP), vol 2010, p 2

  24. Zhang H, Le Ru yet D, Terre M (2009) Spectral efficiency analysis in OFDM and OFDM/OQAM based cognitive radio networks. In: Vehicular technology conference, 2009. VTC Spring

  25. Palicot J, Louet Y, Hussain S, Zabre S (2008) Frequency domain interpretation of power ratio metric for cognitive radio systems. In: Proceedings of IET communications journal, vol 2, pp 783–793

  26. Hall PS, Vetterlein SJ (1990) Review of radio frequency beamforming techniques for scanned and multiple beam antennas. In: Microwaves, antennas and propagation, IEE proceedings H, vol 137, issue 5

  27. Litva J (1996) Digital beamforming in wireless communications. In: Artech house mobile communications

  28. Wang H, Jouini W, Nafkha A, Palicot J, Cardoso L, Debbah M (2010) Blind standard identification with bandwidth shape and GI recognition using USRP platforms and SDR4all tools. In: 5th international ICST conference on cognitive radio oriented wireless networks (Crown’Com), Cannes, France

  29. Socheleau F, Houcke S, Ciblat P, Abdeldjalil A (2011) Cognitive OFDM system detection using pilot tones second and third-order cyclostationarity. Signal Process 91(2):252–268

    Article  MATH  Google Scholar 

  30. http://www.cwc.oulu.fi/workshops/W-Green2008.pdf

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jacques Palicot.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Palicot, J. Cross-layer sensors for green cognitive radio. Ann. Telecommun. 67, 171–180 (2012). https://doi.org/10.1007/s12243-012-0292-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12243-012-0292-0

Keywords