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On power allocation for a cognitive radio network with hybrid spectrum sharing

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Abstract

In this study we propose a hybrid spectrum sharing scheme based on power control by combining Overlay with Underlay schemes, to improve radio spectrum efficiency. In the scheme, the secondary users dynamically switch their operational states between Overlay and Underlay according to the spectrum occupancy. Thus the dynamics of the primary network is first modeled with a discrete-state Markov process to find the time fraction of secondary users in the Overlay state and that in the Underlay state, which leads to the capacity model of the hybrid spectrum sharing system. Under the criterion of maximizing capacity, the power allocation of the cognitive network is researched and the optimum power allocation for secondary users is deduced. As a result, the maximum achievable capacity of the cognitive network is obtained. Simulations are given to prove the analysis further. Theoretical and simulated results indicate that hybrid spectrum sharing based on power control provides a higher capacity than single Overlay and Underlay systems for the cognitive network, i.e., hybrid spectrum sharing can further improve radio spectrum efficiency.

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References

  1. Federal Communications Commission. Spectrum policy task force report. ET Docket No.02-135, 2002

  2. Cabric D, O’Donnell I D, Chen M S W, et al. Spectrum sharing radios. IEEE Circuits Syst Mag, 2006, 6: 30–45

    Article  Google Scholar 

  3. Haykin S. Cognitive radio: brain-empowered wireless communications. IEEE J Select Areas Commun, 2005, 23: 201–220

    Article  Google Scholar 

  4. Zhao Q, Sadler B M. A survey of dynamic spectrum access: signal processing, networking, and regulatory policy. IEEE Signal Process Mag, 2007, 24: 79–89

    Article  Google Scholar 

  5. Goldsmith A, Jafar S A, Maric I, et al. Breaking spectrum gridlock with cognitive radios: an information theoretic perspective. Proc IEEE, 2009, 97: 894–913

    Article  Google Scholar 

  6. Gastpar M. On capacity under receiver and spatial spectrum-sharing constraints. IEEE Trans Inf Theory, 2007, 53: 471–487

    Article  MathSciNet  Google Scholar 

  7. Jafar S A, Srinivasa S. Fundamental limits of cognitive radio with distributed and dynamic spectrum activity. IEEE J Select Areas Commun, 2007, 25: 529–537

    Article  Google Scholar 

  8. Ghasemi A, Sousa E S. Fundamental limits of spectrum-sharing in fading environments. IEEE Trans Wireless Commun, 2007, 6: 649–658

    Article  Google Scholar 

  9. Khoshkholgh M, Navaie K, Yanikomeroglu H. On the impact of the primary network activity on the achievable capacity of spectrum sharing over fading channels. IEEE Trans Wireless Commun, 2009, 8: 2100–2110

    Article  Google Scholar 

  10. Musavian L, Aissa S. Capacity and power allocation for spectrum-sharing communications in fading channels. IEEE Trans Wireless Commun, 2009, 8: 145–156

    Article  Google Scholar 

  11. Chakravarthy V, Li X, Zhou R, et al. Novel Overlay/Underlay cognitive radio waveforms using SD-SMSE framework to enhance spectrum efficiency-part I: theoretical framework and analysis in AWGN channel. IEEE Trans Commun, 2009, 57: 3794–3804

    Article  Google Scholar 

  12. Chakravarthy V, Li X, Zhou R, et al. Novel Overlay/Underlay cognitive radio waveforms using SD-SMSE framework to enhance spectrum efficiency-part II: analysis in fading channels. IEEE Trans Commun, 2010, 58: 1868–1876

    Article  Google Scholar 

  13. Hammuda H. Cellular Mobile Radio Systems. New York: John Wiley & Sons Press, 1997

    Book  Google Scholar 

  14. Papoulis A, Pillai S. Probability, Random Variables, and Stochastic Processes. 4th ed. New York: McGraw-Hill, 2002

    Google Scholar 

Download references

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Correspondence to Jing Zhang.

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Zhang, J., Zhu, H. On power allocation for a cognitive radio network with hybrid spectrum sharing. Sci. China Inf. Sci. 54, 2425–2434 (2011). https://doi.org/10.1007/s11432-011-4462-x

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  • DOI: https://doi.org/10.1007/s11432-011-4462-x

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