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Satellite-Based Spectrum Sensing for Dynamic Spectrum Sharing in Ground-Located CRNs

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Abstract

In the paper, we propose a novel satellite-based spectrum sensing method for cognitive radio networks (CRNs) using multibeam antennas in large-scale coverage ground areas. Our objective is to achieve the dynamic spectrum sharing easily in both temporal and geographical dimensions, such that the primary networks and the CRNs can better coexist. By simple linear transformation and energy detection at the satellite multibeam receiver, spectrum sensing can be simultaneously performed for multiple cells. This approach overcomes the limitations of the traditional sensing method, which therefore considerably improves the spectrum utilization. To verify the efficiency of the proposed approach, theoretical expressions of the average probabilities of miss detection and false alarm are derived. Simulation results show that the satellite-based spectrum sensing method is very efficient for the CRNs in large-scale scenarios under different conditions (equivalent signal-to-noise ratio, threshold, antenna beam pattern, etc.). In addition, the proposed sensing method provides a new vision on the large-scale dynamic spectrum sharing system design to effectively integrate the terrestrial and the satellite communication systems for the future CRN development.

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References

  1. Federal Communication Commission, Spectrum policy task force report, Washington, DC, FCC 02-155 (2002).

  2. 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 50(13): 2127–2159

    Article  MATH  Google Scholar 

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

    Article  Google Scholar 

  4. Yucek T., Arslan H. (2009) A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys and Tutorials 11(1): 116–130

    Article  Google Scholar 

  5. Wang C. X., Chen H. H., Hong X., Guizani M. (2008) Cognitive radio network management. IEEE Vehicular Technology Magazine 3(1): 28–35

    Article  Google Scholar 

  6. Urkowitz H. (1967) Energy detection of unknown deterministic signals. Journal Proceedings of IEEE 55: 523–531

    Article  Google Scholar 

  7. Digham, F. F., Alouini, M.-S., & Simon, M. K. (2003). On the energy detection of unknown signals over fading channels. In Proceedings of IEEE Internation Conference on Communications (ICC’03), pp. 3575–3579.

  8. Ghasemi, A., & Sousa, E. (2005). Collaborative spectrum sensing for opportunistic access in fading environments. In Proceedings IEEE Symposium New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 131–136.

  9. Quan Z., Cui S, Sayed A. H. (2008) Optimal linear cooperation for spectrum sensing in cognitive radio networks. IEEE Journal of Selected Topics in Signal Processing 2(1): 28–40

    Article  Google Scholar 

  10. Li W., Huang X., Leung H. (2004) Performance evaluation of digital beamforming strategies for satellite communications. IEEE Transactions on Aerospace and Electronic systems 40(1): 12–26

    Article  MATH  Google Scholar 

  11. Litva J., Lo T. (1996) Digital beamforming in wireless communication. Artech House, Boston

    Google Scholar 

Download references

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Correspondence to Lingyang Song.

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Feng, Y., Jiao, B. & Song, L. Satellite-Based Spectrum Sensing for Dynamic Spectrum Sharing in Ground-Located CRNs. Wireless Pers Commun 57, 105–117 (2011). https://doi.org/10.1007/s11277-010-0009-5

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  • DOI: https://doi.org/10.1007/s11277-010-0009-5

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