logo

SCIENTIA SINICA Informationis, Volume 47, Issue 2: 235-246(2017) https://doi.org/10.1360/N112016-00132

Implementation of the filtered multi-tone based on the \\improved spectral efficiency}{Implementation of the filtered multi-tone based on the improved spectral efficiency

More info
  • ReceivedMay 20, 2016
  • AcceptedJul 4, 2016
  • PublishedDec 12, 2016

Abstract

This paper proposes a frequency domain implementation method for the filtered multi-tone (FMT) based on fast convolution called FC-FMT, which can adjust the center frequencies flexibly. Aiming at the low spectral efficiency of the FMT, spectral-overlapping in frequency bins is introduced in FC-FMT called Overlapped FC-FMT (O-FMT). We then analyze the relationships between the overlap factor, overlap frequency bins, roll-off factor, and system performance using models and simulations. The simulation results show that O-FMT can be used to simultaneously process multiple waveforms. It also has superiority in meeting a variety of transport requirements, such as computation complexity, spectrum efficiency, and mean squared error, for multiple services due to simple parameters.


Funded by

国家科技重大专项(2016ZX03001010)

重庆市教委科学技术研究项目(KJ1400437)


References

[1] Osseiran A, Boccardi F, Braun V, et al. Scenarios for 5G mobile and wireless communications: the vision of the METIS project. IEEE Commun Mag, 2014, 52: 26-35. Google Scholar

[2] Patel S, Chauhan M, Kapadiya K. 5G: future mobile technology-vision 2020. Int J Comput Appl, 2012, 54: 6-10. Google Scholar

[3] You X H, Pan Z W, Gao X Q, et al. The 5G mobile communication: the development trends and its emerging key techniques. Sci Sin Inform, 2014, 44: 551-563 [尤肖虎, 潘志文, 高西奇, 等. 5G移动通信发展趋势与若干关键技术. 中国科学: 信息科学, 2014, 44: 551-563]. Google Scholar

[4] Farhang-Boroujeny B. OFDM versus filter bank multicarrier. IEEE Signal Process Mag, 2011, 28: 92-112 CrossRef Google Scholar

[5] Louveaux J, Baltar L, Waldhauser D, et al. Equalization and demodulation in the receiver (single antenna). Phys Layer Dyn Spectrum Access Cogn Radio Deliverable D, 2008, 3: 35-46. Google Scholar

[6] Cherubini G, Eleftheriou E, Oker S, et al. Filter bank modulation techniques for very high speed digital subscriber lines. IEEE Commun Mag, 2000, 38: 98-104. Google Scholar

[7] Zakaria R, Le Ruyet D. A novel filter-bank multicarrier scheme to mitigate the intrinsic interference: application to MIMO systems. IEEE Trans Wirel Commun, 2012, 11: 1112-1123 CrossRef Google Scholar

[8] Tonello A M, Pecile F. Analytical results about the robustness of FMT modulation with several prototype pulses in time-frequency selective fading channels. IEEE Trans Wirel Commun, 2008, 7: 1634-1645 CrossRef Google Scholar

[9] Siclet C, Siohan P, Pinchon D. Perfect reconstruction conditions and design of oversampled DFT-modulated transmultiplexers. EURASIP J Advances Signal Process, 2006, 2006: 1-14. Google Scholar

[10] Mazo J E. Faster-than-Nyquist signaling. Bell Syst Tech J, 1975, 54: 1451-1462 CrossRef Google Scholar

[11] Liveris A D, Georghiades C N. Exploiting faster-than-Nyquist signaling. IEEE Trans Commun, 2003, 51: 1502-1511 CrossRef Google Scholar

[12] Rusek F, Anderson J B. The two dimensional Mazo limit. In: Proceedings of IEEE International Symposium on Information Theory, Adelaide, 2005. 970-974. Google Scholar

[13] Hu G S. Introduction to Digital Signal Processing. Beijing: Tsinghua University Press, 2005. 126-135 [胡广书. 数字信号处理导论. 北京: 清华大学出版社, 2005. 126-135]. Google Scholar

[14] Muramatsu S, Kiya H. Extended overlap-add and-save methods for multirate signal processing. IEEE Trans Signal Process, 1997, 45: 2376-2380 CrossRef Google Scholar

[15] Borgerding M. Turning overlap-save into a multiband mixing, downsampling filter bank. Signal Process Mag, 2006, 23: 158-161 CrossRef Google Scholar

[16] Renfors M, Yli-Kaakinen J, Harris F J. Analysis and design of efficient and flexible fast-convolution based multirate filter banks. IEEE Trans Signal Process, 2014, 62: 3768-3783 CrossRef Google Scholar

[17] Yli-Kaakinen J, Renfors M. Fast-convolution filter bank approach for non-contiguous spectrum use. In: Proceedings of Future Network and Mobile Summi. Portugal: IEEE Computer Society, 2013. 1-10. Google Scholar

[18] Shao K, Alhava J, Yli-Kaakinen J, et al. Fast-convolution implementation of filter bank multicarrier waveform processing. In: Proceedings of IEEE International Symposium on Circuits and Systems. Lisbon: IEEE, 2015. 978-981. Google Scholar

[19] Viholainen A, Bellanger M, Huchard M. PHYDYAS project, deliverable 5.1: prototype filter and structure optimization. Phys Layer Dynam Spectrum Access Cogn Radio Deliverable D, 2009, 5: 26-44. Google Scholar

[20] Abdoli J, Jia M, Ma J. Filtered OFDM: a new waveform for future wireless systems. In: Proceedings of the 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). Stockholm: IEEE, 2015. 66-70. Google Scholar

[21] Schaich F, Wild T. Waveform contenders for 5G-OFDM vs. FBMC vs. UFMC. In: Proceedings of the 6th International Symposium on Communications, Control and Signal Processing (ISCCSP). Athens: IEEE, 2014. 457-460. Google Scholar

[22] Huang P, Lee Y. Adaptive decision feedback orthogonality restoration filter for windowed OFDM. In: Proceedings of Vehicular Technology Conference. Atlantic City: IEEE, 2001. 1106-1110. Google Scholar

Copyright 2019 Science China Press Co., Ltd. 《中国科学》杂志社有限责任公司 版权所有

京ICP备18024590号-1