Springer Nature is making Coronavirus research free. View research | View latest news | Sign up for updates

Phase Rotation to Avoid Imaginary Interference Leakage in Multi-user MIMO-OFDM/OQAM Systems

  • 29 Accesses


Orthogonal frequency division multiplexing/offset quadrature amplitude modulation (OFDM/OQAM) is a powerful substitute for OFDM owing to its higher spectral efficiency and lower spectral sidelobes. However, in OFDM/OQAM systems the receiver must recover a purely real component from a complex signal, as only an orthogonal condition is provided in the real field, resulting in imaginary interference leakage in multiple input multiple output systems. In this paper, a phase rotation method to avoid imaginary interference leakage by confining intrinsic interference to the imaginary component of the signal is proposed. The method is first applied in solving the interference problem on neighboring subcarriers; thereafter, the application scope is expanded to solving interference on multiple subbands in multi-user systems. Simulation results verify the effectiveness of the proposed method, which has the additional benefit of low receiver complexity.

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

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


  1. 1.

    Astély, D., Dahlman, E., Furuskär, A., Jading, Y., Lindström, M., & Parkvall, S. (2009). LTE: The evolution of mobile broadband. IEEE Communication Magazine, 47(4), 44–51.

  2. 2.

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

  3. 3.

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

  4. 4.

    Lin, H., Gharba, M., & Siohan, P. (2014). Impact of time and carrier frequency offsets on the FBMC/OQAM modulation scheme. Signal Processing, 102, 151–162.

  5. 5.

    Saeedi-Sourck, H., Wu, Y., Bergmans, J., Sadri, S., & Farhang-Boroujeny, B. (2011). Sensitivity analysis of offset QAM multicarrier systems to residual carrier frequency an timing offsets. Signal Processing, 91, 1604–1612.

  6. 6.

    Payaró, M., Pascual-Iserte, A., & Najar, M. (2010, April). Performance comparison between FBMC and OFDM in MIMO systems under channel uncertainty. In European wireless conference (pp. 1023–1030).

  7. 7.

    Estella, I., Pascual-Iserte, A., & Payaró, M. (2010, June). OFDM and FBMC performance comparison for multistream MIMO systems. In Future network and mobile summit (pp. 1–8).

  8. 8.

    Zakaria, R., & Le Ruyet, D. (2012). A novel filter-bank multicarrier scheme to mitigate the intrinsic interference: Application to MIMO systems. IEEE Transactions on Wireless Communications, 11(3), 1112–1123.

  9. 9.

    Zakaria, R., & Le Ruyet, D. (2010, September). On Maximum likelihood MIMO detection in QAM-FBMC systems. In IEEE 21th personal indoor and mobile radio communications conference (pp. 183–187).

  10. 10.

    Lélé, C., Siohan, P., & Legouable, R. (2010). The Alamouti Scheme with CDMA–OFDM/OQAM. EURASIP Journal on Advances in Signal Processing,.

  11. 11.

    Renfors, M., Ihalainen, T., & Stitz, T. H. (2010, April). A block-Alamouti scheme for filter bank based multicarrier transmission. In European wireless conference, pp. 1031–1037.

  12. 12.

    Caus, M., Perez-Neira, A. I., & Moretti, M. (J2013, June). SDMA for FBMC with block diagonalization. In IEEE 14th workshop on signal processing advances in wireless communications (SPAWC) (pp. 709–713).

  13. 13.

    Caus, M., & Perez-Neira, A. I. (2013, May). Multi-stream transmission in MIMO-FBMC systems. In 2013 IEEE international conference on acoustics, speech and signal processing (ICASSP) (pp. 5041–5045).

  14. 14.

    Viholainen, A., Bellanger, M., & Huchard, M. (2014). Prototype filter and structure optimization (online). Retrieved November, 2014.

  15. 15.

    Chen, D., Qu, D., Jiang, T., & He, Y. (2013). Prototype filter optimization to minimize stopband energy with NPR constraint for filter bank multicarrier modulation systems. IEEE Transactions on Signal Processing, 61(1), 159–169.

  16. 16.

    Siohan, P., Siclet, C., & Lacaille, N. (2002). Analysis and design of OFDM/OQAM systems based on filterbank theory. IEEE Transactions on Signal Processing, 50(5), 1170–1183.

  17. 17.

    Bellanger, M. (2014). FBMC physical layer: A primer (online). Retrieved November, 2014.

  18. 18.

    Zakaria, R., Le Ruyet, D., & Bellanger, M. (2010, April). Maximum Likelihood Detection in spatial multiplexing with FBMC. In European wireless conference (pp. 1038–1041).

  19. 19.

    Kong, D., Qu, D., & Jiang, T. (2014). Time domain channel estimation for OQAM–OFDM system: Algorithms and performance bounds. IEEE Transactions on Signal Processing, 62(2), 322–330.

  20. 20.

    Zhan, X. (2013). Matrix theory. Providence, RI: American Mathematical Society.

Download references


Thanks to support from the Natural Science foundation of Hubei Province under Grants 2017CFB591. Thanks to Prof. Behourz Farhang helpful suggestion and reviewer’s comments.

Author information

Correspondence to Zhongnian Li.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Li, Z., Xu, H., Chen, D. et al. Phase Rotation to Avoid Imaginary Interference Leakage in Multi-user MIMO-OFDM/OQAM Systems. Wireless Pers Commun 110, 1963–1984 (2020).

Download citation


  • Imaginary interference
  • MIMO