Skip to main content
Log in

Filter bank SCFDMA: an efficient uplink strategy for future communication systems

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

This paper develops a generalized system model for the precoded multicarrier communication system, using basic multirate building blocks. Mathematical analysis of the proposed model is carried out, and the results are utilized in developing an efficient uplink wireless communication standard filter bank single carrier frequency division multiple access. The proposed system combines the low peak to average power ratio (PAPR) advantage of a single carrier communication system with the reduced out of band emission (OBE) of filter bank multicarrier (FBMC) scheme. The sensitivity of the proposed system to carrier frequency offset (CFO) is analyzed, and the results are utilized in developing a CFO compensation scheme with reduced complexity. A Nyquist filter design approach, which strikes a balance between OBE and tail size, is developed and is incorporated into the proposed system to enhance the OBE and PAPR characteristics. The instantaneous power of the proposed system is theoretically analyzed using characteristic function based approach, and the effectiveness of modifications is substantiated. A detailed simulation study is carried out to validate the performance of the proposals.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Budiarjo, I., Nikookar, H., & Ligthart, L. P. (2008). Cognitive radio modulation techniques. IEEE Signal Processing Magazine, 25(6), 24–34.

    Article  Google Scholar 

  2. Luo, F. L., & Zhang, C. (2016). Signal processing for 5G: Algorithms and implementations. New York: Wiley.

    Book  Google Scholar 

  3. Bellanger, M., Le Ruyet, D., Roviras, D., Terré M, Nossek , J., Baltar, L., Bai, Q., Waldhauser, D., Renfors, M., Ihalainen, T. (2010). FBMC physical layer: A primer. PHYDYAS FP7 Project Document.

  4. Farhang-Boroujeny, B. (2011). OFDM versus filter bank multicarrier. IEEE Transactions on Signal Processing, 28(3), 92–112.

    Article  Google Scholar 

  5. Alnoman, A., & Anpalagan, A. (2017). Towards the fulfillment of 5G network requirements: Technologies and challenges. Telecommunication Systems, 65(1), 101–116. https://doi.org/10.1007/s11235-016-0216-9.

    Article  Google Scholar 

  6. Gerzaguet, R., Bartzoudis, N., Baltar, L. G., Berg, V., Doré, J. B., Kténas, D., et al. (2017). (2017) The 5G candidate waveform race: A comparison of complexity and performance. EURASIP Journal on Wireless Communications and Networking, 1, 13.

    Article  Google Scholar 

  7. Farhang-Boroujeny, B. (2014). Filter bank multicarrier modulation: A waveform candidate for 5G and beyond. Advances in Electrical Engineering. https://doi.org/10.1155/2014/482805.

    Article  Google Scholar 

  8. Nasir, A. A., Durrani, S., Mehrpouyan, H., Blostein, S. D., & Kennedy, R. A. (2016). Timing and carrier synchronization in wireless communication systems: a survey and classification of research in the last 5 years. EURASIP Journal on Wireless Communications and Networking, 1, 180.

    Article  Google Scholar 

  9. Raghunath, K,, Chockalingam, A. (2009). SC-FDMA versus OFDMA: Sensitivity to large carrier frequency and timing offsets on the uplink. In: IEEE global telecommunications conference (GLOBECOM’09) (pp 1–6).

  10. Choi, J., Lee, Y. H., Lee, C., & Jung, H. W. (2000). Carrier frequency offset compensation for uplink of OFDM-FDMA systems. IEEE Communications Letters, 4(12), 425–429.

    Google Scholar 

  11. Cao, Z., Tureli, U., & Yao, Y. D. (2007). Low-complexity orthogonal spectral signal construction for generalized OFDMA uplink with frequency synchronization errors. IEEE Transactions on vehicular Technology, 56(3), 1143–1154.

    Article  Google Scholar 

  12. Al-kamali, F. S., Dessouky, M. I., Sallam, B. M., Shawki, F., & El-Samie, F. A. (2012). Equalization and carrier frequency offsets compensation for the SC-FDMA system. Wireless Personal Communications, 67(2), 113–138.

    Article  Google Scholar 

  13. Al-Kamali, F. S. (2014). Low-complexity joint regularised equalisation and carrier frequency offsets compensation scheme for single-carrier frequency division multiple access system. IET Communications, 8(5), 767–773.

    Article  Google Scholar 

  14. Argenti, F., Biagini, M., Del Re, E., & Morosi, S. (2015). Time-frequency MSE analysis of linear channel estimation methods for the LTE downlink. Transactions on Emerging Telecommunications Technologies, 26(4), 704–717.

    Article  Google Scholar 

  15. Deepak, P. M., & Ali, C. K. (2016). Low-complexity inter-carrier interference cancelation scheme for SC-IFDMA system. International Journal of Communication Systems, 29(4), 823–835.

    Article  Google Scholar 

  16. Farhang, A., Marchetti, N., Doyle, L., & Farhang-Boroujeny, B. (2015). Low complexity CFO compensation in uplink OFDMA systems with receiver windowing. IEEE Transactions on Signal Processing, 63(10), 2546–2558.

    Article  Google Scholar 

  17. Saeedi-Sourck, H., Wu, Y., Bergmans, J. W., Sadri, S., & Farhang-Boroujeny, B. (2011). Complexity and performance comparison of filter bank multicarrier and OFDM in uplink of multicarrier multiple access networks. IEEE Transactions on Signal Processing, 59(4), 1907–1912.

    Article  Google Scholar 

  18. Skrzypczak, A., Siohan, P., Javaudin, J. P. (2006). Analysis of the peak-to-average power ratio for OFDM/OQAM. In: 2006 IEEE 7th workshop on signal processing advances in wireless communications (pp. 1–5). IEEE.

  19. Slimane, S. B. (2007). Reducing the peak-to-average power ratio of OFDM signals through precoding. IEEE Transactions on Vehicular Technology, 56(2), 686–695.

    Article  Google Scholar 

  20. Myung, H. G., & Goodman, D. J. (2008). Single carrier FDMA: A new air interface for long term evolution (Vol. 8). West Sussex: Wiley.

    Book  Google Scholar 

  21. Yuen, C. H. G., & Farhang-Boroujeny, B. (2012). Analysis of the optimum precoder in SC-FDMA. IEEE Transactions on Wireless Communication, 11(11), 4096–4107.

    Article  Google Scholar 

  22. Gharba, M., Lin, H., Siohan, P., Labeau, F. (2012). DFT-OQAMA: An alternative multiple access for future mobile networks. In: IEEE Vehicular Technology Conference (VTC Fall 2012) (pp. 1–5). IEEE.

  23. Ihalainen, T., Viholainen, A., Stitz, T. H., Renfors, M., Bellanger, M. (2009). Filter bank based multi-mode multiple access scheme for wireless uplink. In: 17th European signal processing conference (pp. 1354–1358). IEEE.

  24. Yuen, C. H., Amini, P., Farhang-Boroujeny, B. (2010). Single carrier frequency division multiple access (SC-FDMA) for filter bank multicarrier communication systems. In: Fifth international conference on cognitive radio oriented wireless networks and communications (pp. 1–5). IEEE.

  25. Valette, A., Traverso, S., Fijalkow, I., Ariaudo, M., Cipriano, A. (2015). Parameters selection for filter bank precoded filter bank multicarrier systems. In: 2015 IEEE Globecom Workshops (GC Wkshps) (pp. 1–6). IEEE.

  26. Gutman, I., & Wulich, D. (2012). Distribution of instantaneous power in single carrier signal with independent I/Q components. IEEE Transactions on Wireless Communications, 11(10), 3660–3667.

    Article  Google Scholar 

  27. Ihalainen, T., Stitz, T. H., Rinne, M., & Renfors, M. (2007). Channel equalization in filter bank based multicarrier modulation for wireless communications. EURASIP Journal on Applied Signal Processing, 1, 140–140.

    Google Scholar 

  28. Mirabbasi, S., & Martin, K. (2003). Overlapped complex-modulated transmultiplexer filters with simplified design and superior stopbands. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 50(8), 456–469.

    Article  Google Scholar 

  29. Farhang-Boroujeny, B. (2008). A square-root nyquist (M) filter design for digital communication systems. IEEE Transactions on Signal Processing, 56(5), 2127–2132.

    Article  Google Scholar 

  30. Baltar, L. G., Schaich, F., Renfors, M., Nossek, J. A. (2011). Computational complexity analysis of advanced physical layers based on multicarrier modulation. In: Future Network & Mobile Summit (FutureNetw), 2011 (pp. 1–8). IEEE.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. M. Deepak.

Ethics declarations

Conflict of interest

On behalf of all authors, the corresponding author states that there is no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Deepak, P.M., Ali, C.K. Filter bank SCFDMA: an efficient uplink strategy for future communication systems. Telecommun Syst 69, 529–543 (2018). https://doi.org/10.1007/s11235-018-0463-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-018-0463-z

Keywords

Navigation