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Experimental Study of an Underlay Cognitive Radio System: Model Validation and Demonstration

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Abstract

Cognitive radio is one of the potential contenders that address the problem of spectrum scarcity by making efficient use of the currently allocated spectrum below 6 GHz. A secondary access to the licensed spectrum is only possible, if the cognitive radio systems restrict the interference to the primary systems. However, the performance analysis of such a cognitive radio system is a challenging task. Currently, performance evaluation of underlay systems is limited to theoretical analysis. Most of the existing theoretical investigations make certain assumptions in order to sustain analytical tractability, which could be unrealistic from the deployment perspective. Motivated by this fact, in this work, we validate the performance of an underlay system by means of laboratory measurements, and consequently propose a hardware demonstrator of such a system. Moreover, we present a graphical user interface to provide insights to the working of the proposed demonstrator and highlight the main issues faced during this experimental study. (This work was partially supported by the National Research Fund, Luxembourg under the CORE projects “SeMIGod” and “SATSENT”.)

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Notes

  1. 1.

    In [9], we discovered a small typing error in the cdf of \(P_\text {p}\), in this paper, we present the exact version of it.

  2. 2.

    As noise power, we used the measured receiver noise floor.

  3. 3.

    For varying \(\theta _\text {I}\), while the shape of the curves changed slightly, the upper limits for \(\tau _\text {opt}\) remained constant.

References

  1. Goldsmith, A., Jafar, S., Maric, I., Srinivasa, S.: Breaking spectrum gridlock with cognitive radios: an information theoretic perspective. Proc. IEEE 97(5), 894–914 (2009)

    Article  Google Scholar 

  2. Ghasemi, A., Sousa, E.: Fundamental limits of spectrum-sharing in fading environments. IEEE Trans. Wirel. Commun. 6(2), 649–658 (2007)

    Article  Google Scholar 

  3. Kang, X., Liang, Y.C., Nallanathan, A., Garg, H., Zhang, R.: Optimal power allocation for fading channels in cognitive radio networks: ergodic capacity and outage capacity. ieee trans. wirel. commun. 8(2), 940–950 (2009)

    Article  Google Scholar 

  4. Musavian, L., Aissa, S.: Fundamental capacity limits of cognitive radio in fading environments with imperfect channel information. IEEE Trans. Commun. 57(11), 3472–3480 (2009)

    Article  Google Scholar 

  5. Sharma, S., Bogale, T., Chatzinotas, S., Ottersten, B., Le, L., Wang, X.: Cognitive radio techniques under practical imperfections: a survey. IEEE Commun. Surv. Tutorials 17(4), 1858–1884 (2015)

    Article  Google Scholar 

  6. Nguyen, T., Nguyen, T., Nguyen, H., Dang, K.: Hardware implementation of reception diversity techniques for spectrum sensing efficiency enhancement in cognitive radio network. In: 2013 Third World Congress on Information and Communication Technologies (WICT), pp. 69–73 December 2013

    Google Scholar 

  7. Anas, N., Mohamad, H., Tahir, M.: Cognitive radio test bed experimentation using USRP and Matlab/Simulink. In: 2012 IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE), pp. 229–232, December 2012

    Google Scholar 

  8. Combes, R., Proutiere, A.: Dynamic rate and channel selection in cognitive radio systems. IEEE J. Sel. Areas Commun. 33(5), 910–921 (2015)

    Article  Google Scholar 

  9. Kaushik, A., Sharma, S., Chatzinotas, S., Ottersten, B., Jondral, F.: Estimation-throughput tradeoff for underlay cognitive radio systems. In: 2015 IEEE International Conference on Communications (ICC), pp. 7701–7706, June 2015

    Google Scholar 

  10. Kaushik, A., Raza, M., Jondral, F.: On the deployment of cognitive relay as underlay systems. In: 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM), pp. 329–334 (2014)

    Google Scholar 

  11. Charalambous, C., Menemenlis, N.: Stochastic models for short-term multipath fading channels: chi-square and Ornstein-Uhlenbeck processes. In: Proceedings of the 38th IEEE Conference on Decision and Control, vol. 5, pp. 4959–4964 (1999)

    Google Scholar 

  12. Jeffrey, A., Zwillinger, D.: Table of Integrals, Series, and Products. Elsevier Science, Boston (2000)

    Google Scholar 

  13. Ettus Research, 2 December 2015. http://www.ettus.com/

  14. Sedykh, I.: laptop-icon_500x500, 2 December 2015; Copyright information: Creative Commons Attribution 2.0 Generic (CC BY 2.0) (2013). https://www.flickr.com/photos/shmectorcom/8616375606

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Correspondence to Hanna Becker .

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© 2016 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Becker, H., Kaushik, A., Sharma, S.K., Chatzinotas, S., Jondral, F. (2016). Experimental Study of an Underlay Cognitive Radio System: Model Validation and Demonstration. In: Noguet, D., Moessner, K., Palicot, J. (eds) Cognitive Radio Oriented Wireless Networks. CrownCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 172. Springer, Cham. https://doi.org/10.1007/978-3-319-40352-6_42

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  • DOI: https://doi.org/10.1007/978-3-319-40352-6_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40351-9

  • Online ISBN: 978-3-319-40352-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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