Advertisement

Influence of Amplitude Limitation for Random Sequence of Single-Frequency Optimal FTN Signals on the Occupied Frequency Bandwidth and BER Performance

  • Sergey B. Makarov
  • Anna S. Ovsyannikova
  • Sergey V. Zavjalov
  • Sergey V. VolvenkoEmail author
  • Lei Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11118)

Abstract

Application of optimal signals allows to solve the problem of improving spectral efficiency with minimal energy losses. However, the major disadvantage of such signals is high peak-to-average power ratio (PAPR) which leads to degradation of transmitter efficiency. This work considers the possibility of using rigid amplitude limitation for random sequence of optimal signals. PAPR values distribution is presented. It is shown that amplitude limiting does not cause widening of energy spectrum defined for the level higher than –20 dB. Decreasing PAPR value by 4 dB may provide energy gain up to 3.5 dB as a result of increasing average signal power.

Keywords

Optimal signals Peak-to-average power ratio  Transmitter efficiency Rigid limitation BER performance 

References

  1. 1.
    Fan, J., Guo, S., Zhou, X., Ren, Y., Li, G.Y., Chen, X.: Faster-Than-Nyquist signaling: an overview. IEEE Access 5, 1925–1940 (2017)CrossRefGoogle Scholar
  2. 2.
    Liveris, A.D., Georghiades, C.N.: Exploiting faster-than-Nyquist signaling. IEEE Trans. Commun. 51(9), 1502–1511 (2003)CrossRefGoogle Scholar
  3. 3.
    Rusek, F., Anderson, J.B.: Constrained capacities for faster-than-Nyquist signaling. IEEE Trans. Inf. Theory 55(2), 764–775 (2009)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Gorlov, A., Gelgor, A., Nguyen, V.P.: Root-raised cosine versus optimal finite pulses for faster-than-Nyquist generation. In: Galinina, O., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART 2016. LNCS, vol. 9870, pp. 628–640. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-46301-8_54CrossRefGoogle Scholar
  5. 5.
    Andreev, S., et al.: Exploring synergy between communications, caching, and computing in 5G-grade deployments. IEEE Commun. Mag. 54(8), 60–69 (2016)CrossRefGoogle Scholar
  6. 6.
    Waldman, D.G., Makarov, S.B.: Synthesis of spectral-effective modulation techniques for digital communication systems. In: 1st IEEE International Conference on Circuits and Systems for Communications, Proceedings, ICCSC 2002, pp. 432–435, June 2002Google Scholar
  7. 7.
    Xue, W., Ma, W., Chen, B.: Research on a realization method of the optimized efficient spectrum signals using Legendre series. In: 2010 IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS), 25–27 June 2010, pp. 155–159 (2010)Google Scholar
  8. 8.
    Xue, W., Ma, W., Chen, B.: A realization method of the optimized efficient spectrum signals using Fourier series. In: 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), 23–25 September 2010Google Scholar
  9. 9.
    Ovsyannikova, A.S., Zavjalov, S.V., Makarov, S.B., Volvenko, S.V.: Choosing parameters of optimal signals with restriction on correlation coefficient. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART/NsCC -2017. LNCS, vol. 10531, pp. 619–628. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-67380-6_58CrossRefGoogle Scholar
  10. 10.
    Zavjalov, S.V., Makarov, S.B., Volvenko, S.V., Xue, W.: Waveform optimization of SEFDM signals with constraints on bandwidth and an out-of-band emission level. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) ruSMART 2015. LNCS, vol. 9247, pp. 636–646. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-23126-6_57CrossRefGoogle Scholar
  11. 11.
    Zavjalov, S.V., Volvenko, S.V., Makarov, S.B.: A method for increasing the spectral and energy efficiency SEFDM signals. IEEE Commun. Lett. 20(12), 2382–2385 (2016)CrossRefGoogle Scholar
  12. 12.
    Zavjalov, S.V., Makarov, S.B., Volvenko, S.V.: Duration of nonorthogonal multifrequency signals in the presence of controlled intersymbol interference. In: 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Brno, pp. 49–52 (2015)Google Scholar
  13. 13.
    Baek, M.S., Yun, J., Lim, H., Kim, Y., Hur, N.: Joint masking and PAPR reduction for digital broadcasting system with faster-than-Nyquist signaling. In: 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), Cagliari, pp. 1–2 (2017)Google Scholar
  14. 14.
    Le, C., Schellmann, M., Fuhrwerk, M., Peissig, J.: On the practical benefits of faster-than-Nyquist signaling. In: 2014 International Conference on Advanced Technologies for Communications (ATC 2014), Hanoi, pp. 208–213 (2014)Google Scholar
  15. 15.
    Antonov, E.O., Rashich, A.V., Fadeev, D.K., Tan, N.: Reduced complexity tone reservation peak-to-average power ratio reduction algorithm for SEFDM signals. In: 2016 39th International Conference on Telecommunications and Signal Processing (TSP), Vienna, pp. 445–448 (2016)Google Scholar
  16. 16.
    Rave, W., Zillmann, P., Fettweis, G.: Iterative correction and decoding of OFDM signals affected by clipping. In: Proceedings of MC-SS 2005, pp. 443–452 (2005)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Peter the Great St. Petersburg Polytechnic UniversitySt. PetersburgRussia
  2. 2.School of Computer Science and Software EngineeringEast China Normal UniversityShanghaiChina

Personalised recommendations