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Sub-Band Filter in Universal Filtered Multi-Carrier Transceiver for Cognitive Radio Network

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Abstract

Modern wireless mobile communication system concentrates on effective utilization of frequency band and efficient modulation technique for side lobe elimination. Frequency bands are effectively utilized by using Cognitive radio networks. Cognitive radio network (CRN) is one of the intelligent technologies to solve spectrum scarcity. Universal Filtered Multi-Carrier (UFMC) is the potential multi-carrier modulation technique for the fifth generation (5G) wireless communication networks, as it detains the side lobes of spectral component and also reduces the effect of inter-carrier interference. In this paper, we design the UFMC transceiver whose parameters are adjusted in response to the challenge of side lobe removal. To this end, we first estimate the Peak-to-Average power Ratio (PAR), optimum sub-band filter length at the transmission and the bit error rate (BER) at the reception. The proposed UFMC transceiver can be applicable for the detection of unused spectrum by exploiting the autocorrelation properties of received signal. Finally we verify the performance of proposed UFMC transceiver for the application of CRN by computer simulation.

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References

  1. Mitola, J., & Maguire, G. Q., Jr. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications Magazine, 6(4), 13–18.

    Article  Google Scholar 

  2. Sutton, P. D., et al. (2008). Cyclostationary signatures in practical cognitive radio applications. IEEE Journal on Selected Areas in Communications, 26(1), 13–24.

    Article  Google Scholar 

  3. Siohan, P., Siclet, C., & Lacaille, N. (2002). Analysis and design of OFDM/OQAM systems based on filterbank theory. IEEE Transactions on Signal Processing, 50, 1170–1183.

    Article  Google Scholar 

  4. Farhang-Boroujeny, B. (2011). OFDM versus filter bank multi-carrier. IEEE Signal Processing Magazine, 28(92), 112.

    Google Scholar 

  5. Bellanger, M. G. (2001). Specification and design of a prototype filter for filter bank based multi-carrier transmission. In Proceedings of IEEE International Conference on Acoustic, Speech, Signal Process, (ICASSP) (vol. 4, pp. 2417–2420), Salt Lake City, UT.

  6. Fliege, N. J. (1994). Multirate digital signal processing: Multirate systems, filter banks, wavelets. Retrieved from https://www.wiley.com/en-us/Multirate+Digital+Signal+Processing%3A+Multirate+Systems+Filter+Banks+Wavelets-p-9780471492047.

  7. Yunzheng, T., et al. (2015). A survey: Several technologies of non-orthogonal transmission for 5G. Basic theories and key technologies in next generation networks. China Communications, 12(10), 1–15.

    Google Scholar 

  8. Vakilian, V., & Wild, T., et al. (2013). Universal filtered multi-carrier technique for wireless systems beyond Lte. In 9th International Workshop on Broadband Wireless Access at IEEE Globecom’13, Atlanta.

  9. Schaich, F., & Wild, T. (2015). Waveform contenders for 5G-suitability for short packet and low latency transmissions. Vehicular Technology Conference (VTC Spring). https://doi.org/10.1109/VTCSpring.2014.7023145.

    Article  Google Scholar 

  10. Wild, T., Schaich, F., & Chen, Y. (2014) 5G air interface design based on Universal Filtered (UF-)OFDM. In Proceedings of 19th international conference on digital signal processing (pp. 699–704).

  11. Lin, Y.-E., Liu, K.-H., & Hsieh, H.-Y. (2013). On using interference-aware spectrum sensing for dynamic spectrum access in cognitive radio networks. IEEE Transactions on Mobile Computing, 12(3), 461–474.

    Article  Google Scholar 

  12. Mukherjee, M. et al. (2015). Reduced out-of-band radiation-based filter optimization for UFMC systems in 5G. 978-1-4799-5344-8/15/$31.00 © IEEE.

  13. Michailow, N., Gaspar, I., Krone, S., Lentmaier, M., & Fettweis, G. (2012). Generalized frequency division multiplexing: Analysis of an alternative multi-carrier technique for next generation cellular systems. In: International symposium on wireless communication system (ISWCS’12), Paris, France.

  14. Vankka, J., Kosunen, M., Sanchis, I., & Halonen, K. A. I. (2000). A multi-carrier QAM Modulator. In IEEE transactions on circuits and systems—II: Analog and digital signal processing (Vol. 47, no 1).

    Article  Google Scholar 

  15. Bellanger, M. (2010). Efficiency of filter bank multi-carrier techniques in burst radio transmission. In Global telecommunications conference (GLOBECOM 2010), (pp. 1–4). 2010 IEEE, 6–10 Dec.

  16. Shanzhi, C., & Jian, Z. (2014). The requirements, challenges, and technologies for 5G of terrestrial mobile telecommunication. Communications Magazine, IEEE, 52(5), 36–43.

    Article  Google Scholar 

  17. Higuchi, K., & Kishiyama, Y. (2012). Non-orthogonal access with successive interference cancellation for future radio access. In APWCS 2012.

  18. Riba, J., Font-Segura, J., Villar, J., & Vázquez, G. (2014). Frequency-domain GLR detection of a second-order cyclostationary signal over fading channels. IEEE Transactions on Signal Processing, 62(8), 1899–1912.

    Article  MathSciNet  Google Scholar 

  19. Wang, X., Wild, T., Schaich, F., & Dos Santos, A. F. (2014). Universal filtered multi-carrier with leakage-based filter optimization. In VDE VERLAG GMBH, Berlin, Offenbach, Germany, European Wireless 2014.

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  1. Department of Electronics and Communication Engineering, SRM University, Chennai, Tamil Nadu, India

    R. Dayana & R. Kumar

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  1. R. Dayana
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  2. R. Kumar
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Correspondence to R. Dayana.

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Dayana, R., Kumar, R. Sub-Band Filter in Universal Filtered Multi-Carrier Transceiver for Cognitive Radio Network. Wireless Pers Commun 103, 1587–1602 (2018). https://doi.org/10.1007/s11277-018-5869-0

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