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Chirp Signal Based Timing Offset Estimation for GFDM Systems

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Abstract

Generalized frequency division multiplexing (GFDM) is a block-based multicarrier modulation scheme that is a potential candidate for the fifth generation (5G) and beyond wireless communication systems. A critical factor in enhancing the performance of GFDM is achieving precise synchronization. To that end, a new timing synchronization algorithm that utilizes cross-correlation and the sliding window algorithm is presented in this article. The algorithm uses a training symbol based on a chirp sequence. The simulation results of the proposed estimator and conventional CP based approach are analyzed under indoor office scenarios and urban macro cells scenarios for orthogonal frequency division multiplexing and GFDM. The performance of the proposed method is better for GFDM in terms of the three parameters: mean of the timing offset, mean square error of the timing offset, and probability of timing failure. For the proposed algorithm, the results show that the probability of timing failure decreases with increasing signal to noise ratio in the case of the GFDM system.

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Data Availability

Simulation results were obtained using MATLAB software.

Code Availability

Available on request.

References

  1. Bojadjievski, S., Kalendar, M., & Shuminoski. (2021). T. 5g emerging and mission critical framework with ultra-reliable low delay. Wireless Personal Communications, 119, 2561–2575.

    Article  Google Scholar 

  2. Kim, M., Lee, J., & Park, D. (2020). Iterative detection based on consensus alternating direction method of multipliers in massive machine-type communications. Wireless Personal Communications, 110(4), 2253–2264.

    Article  Google Scholar 

  3. Tripathi, P. S., & Prasad, R. (2018). Spectrum for 5g services. Wireless Personal Communications, 100(2), 539–555.

    Article  Google Scholar 

  4. Zhang, X., Chen, L., Qiu, J., & Abdoli, J. (2016). On the waveform for 5g. IEEE Communications Magazine, 54(11), 74–80.

    Article  Google Scholar 

  5. Lin, H., & Siohan, P. (2016). Major 5g waveform candidates: Overview and comparison. In Signal processing for 5G: Algorithms and implementations (pp. 170–187 ). Wiley.

  6. Parkvall, S., Dahlman, E., Furuskar, A., & Frenne, M. (2017). The new 5g radio access technology. IEEE Communications Standards Magazine, 1(4), 24–30.

    Article  Google Scholar 

  7. Cai, Y., Qin, Z., Cui, F., Li, G. Y., & McCann, J. A. (2017). Modulation and multiple access for 5g network. IEEE Communications Surveys & Tutorials, 20(1), 629–646.

    Article  Google Scholar 

  8. de Almeida, I. B. F., Mendes, L. L., Rodrigues, J. J., & da Cruz, M. A. (2019). 5g waveforms for iot applications. IEEE Communications Surveys & Tutorials, 21(3), 2554–2567.

    Article  Google Scholar 

  9. Mansour Shalaby, E., Ibrahim Hussin, S., & Ibrahim Dessoky, M. (2021). Performance evaluation of 5g modulation techniques. Wireless Personal Communications, 121(4), 2461–2476.

    Article  Google Scholar 

  10. Demir, A. F., Elkourdi, M., Ibrahim, M., & Arslan, H. (2018). Waveform design for 5g and beyond. In 5G networks: Fundamental requirements, enabling technologies, and operations management (pp. 51–76). Wiley.

  11. Michailow, N., Matth e, M., Gaspar, I. S., Caldevilla, A. N., Mendes, L. L., Festag, A., & Fettweis, G. (2014). Generalized frequency division multiplexing for 5th generation cellular networks. IEEE Transactions on Communications, 62(9), 3045–3061.

    Article  Google Scholar 

  12. Gupta, M., Kang, A. S., & Sharma, V. (2020). Comparative study on implementation performance analysis of simulink models of cognitive radio based GFDM and UFMC techniques for 5g wireless communication. Wireless Personal Communications, 126, 1–31.

    Google Scholar 

  13. Fettweis, G., Krondorf, M., & Bittner, S. (2009). GFDM-generalized frequency division multiplexing. In Proceedings of the 69th IEEE VTC Spring, Barcelona, Spain (pp. 1–4).

  14. Gaspar, D., Mendes, L., & Pimenta, T. (2017). GFDM BER under synchronization errors. IEEE Communications Letters, 218, 1743–1746.

    Article  Google Scholar 

  15. Zhang, D., Festag, A., & Fettweis, G. P. (2017). Performance of generalized frequency division multiplexing based physical layer in vehicular communications. IEEE Transactions on Vehicular Technology, 66(11), 9809–9824.

    Article  Google Scholar 

  16. Han, S., Sung, Y., & Lee, Y. H. (2016). Filter design for generalized frequency-division multiplexing. IEEE Transactions on Signal Processing, 65(7), 1644–1659.

    Article  MathSciNet  MATH  Google Scholar 

  17. Kumar, A., & Magarini, M. (2017). Improving GFDM symbol error rate performance using Better than Nyquist pulse shaping filters. IEEE Latin America Transactions, 15(7), 1244–1249.

    Article  Google Scholar 

  18. Sim, Z. A., Juwono, F. H., Reine, R., Zang, Z., & Gopal, L. (2020). Performance of GFDM systems using quadratic programming pulse shaping filter design. IEEE Access, 8, 37134–37146. https://doi.org/10.1109/ACCESS.2020.2975430

    Article  Google Scholar 

  19. Liu, M., Xue, W., Gao, J., Jia, P., Xu, Y., & Volvenko, S. V. (2022). Prototype filter design for effectively suppressing out-of-band radiation in GFDM systems. IEEE Communications Letters, 27(2), 696–700.

    Article  Google Scholar 

  20. Kalsotra, S., Kumar Singh, A., & Dutt Joshi, H. (2022). Performance analysis of space time coded generalized frequency division multiplexing system over generalized fading channels. Transactions on Emerging Telecommunications Technologies, 33(4), e4423.

    Article  Google Scholar 

  21. Gupta, M., & Gamad, R. (2023). Performance analysis of generalized frequency division multiplexing in various pulse-shaping filter with raised cosine and root raised cosine filter. Wireless Personal Communications, 130, 1–13.

    Article  Google Scholar 

  22. Cheng, H., Xia, Y., Huang, Y., Yang, L., & Mandic, D. P. (2019). Joint channel estimation and Tx/Rx I/Q imbalance compensation for GFDM systems. IEEE Transactions on Wireless Communications, 18(2), 1304–1317.

    Article  Google Scholar 

  23. Mohammadian, A., & Tellambura, C. (2021). Joint channel and phase noise estimation and data detection for GFDM. IEEE Open Journal of the Communications Society, 2, 915–933.

    Article  Google Scholar 

  24. Gaspar, I. S., Mendes, L. L., Michailow, N., & Fettweis, G. (2014). A synchronization technique for generalized frequency division multiplexing. IEEE Transactions on Communications, 2014(1), 1–10.

    Google Scholar 

  25. Gaspar, I., & Fettweis, G. (2015). An embedded midamble synchronization approach for generalized frequency division multiplexing. In 2015 IEEE global communications conference (GLOBECOM), San Diego, USA (pp. 1–5).

  26. Gaspar, I., Festag, A., & Fettweis, G. (2015). Synchronization using a pseudocircular preamble for generalized frequency division multiplexing in vehicular communication. In 2015 IEEE 82nd vehicular technology conference (VTC2015-Fall), Boston, USA (pp. 1–5).

  27. Wang, P.-S., & Lin, D. W. (2016). Maximum-likelihood blind synchronization for GFDM systems. IEEE Signal Processing Letters, 23(6), 790–794.

    Article  Google Scholar 

  28. Na, Z., Zhang, M., Xiong, M., Xia, J., Liu, X., & Lu, W. (2018). Pseudo-noise sequence based synchronization for generalized frequency multiplexing in 5G communication system. IEEE Access, 6, 14812–14819.

    Article  Google Scholar 

  29. Hamid, E. Y., et al. (2022). Joint synchronization and channel equalization of preamble-based GFDM. In 16th international conference on telecommunication systems, services, and applications (TSSA) (pp. 1–6). IEEE, Bali, Indonesia.

  30. Boumard, S., & Mammela, A. (2009). Robust and accurate frequency and timing synchronization using chirp signals. IEEE Transactions on Broadcasting, 55(1), 115–123.

    Article  Google Scholar 

  31. 3GPP TR 38.901. (2018). Study on channel model for frequencies from 0.5 to 100 GHz (release 15).

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The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Bhadson Road, Patiala, Punjab, 147001, India

    Manpreet Kaur & Hem Dutt Joshi

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  1. Manpreet Kaur
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  2. Hem Dutt Joshi
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We conducted the research together, analyzed the data, and performed simulations. All authors have approved the final version.

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Correspondence to Manpreet Kaur.

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Kaur, M., Joshi, H.D. Chirp Signal Based Timing Offset Estimation for GFDM Systems. Wireless Pers Commun 132, 1781–1796 (2023). https://doi.org/10.1007/s11277-023-10679-8

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