A Method to Reduce the Effect of Inter-Sub-band Interference (ISBI) and Inter Carrier Interference (ICI) in UFMC

  • Rajarao MandaEmail author
  • R. Gowri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 989)


To support frequency segmentation and multi-service applications in fifth-generation wireless communications, the universal filtered multi-carrier (UFMC) modulation scheme is chosen and approved by worldwide mobile and wireless communication groups. However, the performance of UFMC-based systems mainly depends on the sub-band filter response, which influences the interference due to sub-bands and adjacent sub-carriers. The conventional UFMC uses the length of cyclic prefix/channel length as sub-band filter length, irrespective of the sub-band size. It may result in more number of computations to determine the filter response and hence introduces delay on the transmitter side. In addition, the filter tails extend to the one or many numbers of adjacent sub-bands in case of short sub-band sizes turns in performance degradation. In this paper, a novel method is proposed, which uses the straightforward concept of filter design to adapt the filter length based on the size of the sub-band. By this approach, the computational complexity might be reduced, Inter-Sub-band Interference (ISBI) and Inter Carrier Interference (ICI) can be reduced. Hence, the system gives better BER performance.


5G UFMC ISBI ICI SNR Filter length Sub-band size FIR filter 


  1. 1.
    3GPP: Requirements for further advancements for evolved universal terrestrial radio access (E-UTRA) (LTE-Advanced), vol. 9, pp. 1–17 (2010)Google Scholar
  2. 2.
    Banelli, P., Buzzi, S., Colavolpe, G., Modenini, A., Rusek, F., Ugolini, A.: 5G networks: who will, pp. 80–93 (2014)Google Scholar
  3. 3.
    Wunder, G., et al.: New Waveforms for New Services in 5G, 1st edn. Elsevier Ltd, Amsterdam (2017)CrossRefGoogle Scholar
  4. 4.
    Farhang-Boroujeny, B.: Filter bank multicarrier modulation: a waveform candidate for 5G and beyond. Adv. Electr. Eng. Adv. Electr. Eng. 2014, 1–25 (2014)Google Scholar
  5. 5.
    Michailow, N., Datta, R., Krone, S., Lentmaier, M., Fettweis, G.: Generalized frequency division multiplexing for 5th generation cellular networks. IEEE Trans. Commun. 62(9), 3045–3060 (2014)CrossRefGoogle Scholar
  6. 6.
    Vakilian, V., Wild, T., Schaich, F., Ten Brink, S., Frigon, J.: Universal filtered multi-carrier technique for wireless systems beyond LTE. In: IEEE Globecom Work, pp. 223–228 (2013)Google Scholar
  7. 7.
    Farhang-boroujeny, B.: OFDM versus filter bank multicarrier. IEEE Signal Process. Mag. 28, 92–112 (2011)CrossRefGoogle Scholar
  8. 8.
    Schaich, F., Wild, T., Chen, Y.: Waveform contenders for 5G - suitability for short packet and low latency transmissions. In: IEEE 79th Vehicular Technology Conference (VTC Spring), pp. 1–5 (2014)Google Scholar
  9. 9.
    Zhang, L., Ijaz, A., Xiao, P., Molu, M., Tafazolli, R.: Filtered OFDM systems, algorithms and performance analysis for 5G and beyond. IEEE Trans. Commun. 66(3), 1205–1218 (2017)CrossRefGoogle Scholar
  10. 10.
    Nadal, J., Abdel Nour, C., Baghdadi, A.: Novel UF-OFDM transmitter: significant complexity reduction without signal approximation. IEEE Trans. Veh. Technol. 1–1 (2017)Google Scholar
  11. 11.
    Mukherjee, M., Shu, L., Kumar, V., Kumar, P., Matam, R.: Reduced out-of-band radiation-based filter optimization for UFMC systems in 5G. In: 2015 International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1150–1155 (2015)Google Scholar
  12. 12.
    Zhang, Z., Wang, H., Yu, G., Zhang, Y., Wang, X.: Universal filtered multi-carrier transmission with adaptive active interference cancellation. IEEE Trans. Commun. 65(6), 2554–2567 (2017)CrossRefGoogle Scholar
  13. 13.
    Duan, S., Yu, X., Wang, R.: Performance analysis on filter parameters and sub-bands distribution of universal filtered multi-carrier. Wirel. Pers. Commun. 95(3), 2359–2375 (2017)CrossRefGoogle Scholar
  14. 14.
    Schafer, R.W., Oppenheim, A.V.: Discrete-Time Signal Processing. PHI Private Limited (1996)Google Scholar
  15. 15.
    Lynch, P.: The Dolph-Chebyshev window: a simple optimal filter. Mon. Weather Rev. 125(4), 655–660 (1997)CrossRefGoogle Scholar
  16. 16.
    3GPP TS 38.104: 3GPP technical specification group radio access network: NR base station (BS) radio transmission and reception, vol. V15.1.0, No. Release 15, pp. 1–133 (2018)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Electrical and Electronics EngineeringUPESDehradunIndia
  2. 2.Department of Electronics Instrumentation & Control EngineeringUniversity of Petroleum and Energy StudiesDehradunIndia

Personalised recommendations