HSAPST
Higher school of applied physics and space technologies Institute of Electronics and Telecommunications SPbPU
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Science Departments Scientific laboratory "Special Technological Center-Polytech"

Scientific laboratory "Special Technological Center-Polytech"

Description

At present, OFDM signals are widely used in modern communication systems such as LTE, Wi-Fi, WiMAX.  OFDM signals have both advantages (high noise immunity) and disadvantages (relatively wide occupied bandwidth, high crest factor, low spectral efficiency, etc. To overcome these shortcomings, it is proposed to use non-orthogonal signals in 5G 5G networks. The signal is a departure from the requirement of orthogonal placement of subcarriers, the possibility of using smoothed envelopes of increased duration (compared to systems based on OFDM technology).

By reducing the occupied frequency band, it becomes possible to arrange additional subcarriers, which will increase the information transfer rate up to 2 times without a significant loss in noise immunity.

Other Information

Papers:

  1. S. B. Makarov et al., "Optimizing the Shape of Faster-Than-Nyquist (FTN) Signals With the Constraint on Energy Concentration in the Occupied Frequency Bandwidth," in IEEE Access, vol. 8, pp. 130082-130093, 2020, doi: 10.1109/ACCESS.2020.3009213.
  2. A. S. Ovsyannikova, S. V. Zavjalov and S. V. Volvenko, "On the Joint Use of Turbo codes and Optimal Signals with Increased Symbol Rate," 2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Moscow, Russia, 2018, pp. 1-4. doi: 10.1109/ICUMT.2018.8631243
  3. I. R. Ishkaev, A. A. Belov and S. V. Zavjalov, "Influence of Guard Intervals Length on Detection of Long Pulse Signals," 2018 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech), St. Petersburg, 2018, pp. 93-97. doi: 10.1109/EExPolytech.2018.8564380
  4. M. A. Zanina, A. A. Belov and S. V. Volvenko, "Estimation of Accuracy of Algorithm for Measuring Radiofrequency Pulse Parameters," 2018 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech), St. Petersburg, 2018, pp. 98-102. doi: 10.1109/EExPolytech.2018.8564382
  5. I. R. Ishkaev, A. E. Shevelev, A. S. Ovsyannikova, S. V. Zavjalov, S. V. Volvenko and S. B. Makarov, "Possibility of Peak-to-Avegare Power Ratio Reduction by Application of Optimal Signal for Transmitter Based on SDR HackRF One," 2018 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech), St. Petersburg, 2018, pp. 141-145. doi: 10.1109/EExPolytech.2018.8564411
  6. Bakir N., Pavlov V., Zavjalov S., Volvenko S., Gumenyuk A., Rethmeier M. Novel metrology to determine the critical strain conditions required for solidification cracking during laser welding of thin sheets // Journal of Physics: Conference Series. ‒ 2018. ‒ T. 1109. ‒ pp. 1-9.
  7. M. A. Zanina, V. A. Pavlov, S. V. Zavjalov and S. V. Volvenko, "TLD Object Tracking Algorithm Improved with Particle Filter," 2018 41st International Conference on Telecommunications and Signal Processing (TSP), Athens, 2018, pp. 1-4. doi: 10.1109/TSP.2018.8441515
  8. V. A. Pavlov, S. V. Zavjalov, S. V. Volvenko and M. A. Zanina, "Modification of Tracking Algorithm Struck by the Application of the Scale Estimation Method," 2018 41st International Conference on Telecommunications and Signal Processing (TSP), Athens, 2018, pp. 1-5. doi: 10.1109/TSP.2018.8441458
  9. S. B. Makarov, A. S. Ovsyannikova, I. I. Lavrenyuk, S. V. Zavjalov and S. V. Volvenko, "Distributions of probability of power values for random sequences of optimal FTN signals," 2018 International Symposium on Consumer Technologies (ISCT), St. Petersburg, 2018, pp. 57-59. doi: 10.1109/ISCE.2018.8408919
  10. Zavjalov, S.V., Ovsyannikova, A.S., Volvenko, S.V. On the Necessary Accuracy of Representation of Optimal Signals (2018) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11118 LNCS, pp. 153-161. doi: 10.1007/978-3-030-01168-0_14
  11. Makarov, S.B., Ovsyannikova, A.S., Zavjalov, S.V., Volvenko, S.V., Zhang, L. Influence of Amplitude Limitation for Random Sequence of Single-Frequency Optimal FTN Signals on the Occupied Frequency Bandwidth and BER Performance
  12. (2018) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11118 LNCS, pp. 181-190. doi: 10.1007/978-3-030-01168-0_17
  13. Zavjalov, S.V., Ovsyannikova, A.S., Lavrenyuk, I.I., Volvenko, S.V., Makarov, S.B. Application of Optimal Finite-Length Signals for Overcoming “Nyquist Limit” (2018) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11118 LNCS, pp. 172-180. doi: 10.1007/978-3-030-01168-0_16
  14. A. S. Ovsyannikova, S. V. Zavjalov and S. V. Volvenko, "On the joint use of nonlinear amplifier and optimal signals with increased duration," 2017 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Munich, 2017, pp. 205-208. doi: 10.1109/ICUMT.2017.8255115
  15. S. V. Volvenko, D. Ge, S. V. Zavjalov, A. S. Gruzdev, A. V. Rashich and E. L. Svechnikov, "Experimental wireless ultra wideband sensor network for data collection," 2017 Progress In Electromagnetics Research Symposium - Spring (PIERS), St. Petersburg, 2017, pp. 965-970. doi: 10.1109/PIERS.2017.8261883
  16. Ovsyannikova, A.S., Zavjalov, S.V., Makarov, S.B., Volvenko, S.V. Choosing parameters of optimal signals with restriction on correlation coefficient (2017) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10531 LNCS, pp. 619-628. doi: 10.1007/978-3-319-67380-6_58
  17. Ovsyannikova, A.S., Zavjalov, S.V., Makarov, S.B., Volvenko, S.V., Quang, T.L. Spectral and energy efficiency of optimal signals with increased duration, providing overcoming “Nyquist Barrier” (2017) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10531 LNCS, pp. 607-618. doi: 10.1007/978-3-319-67380-6_57
  18. S. V. Zavjalov, D. K. Fadeev and S. V. Volvenko, "Influence of input power backoff of nonlinear power amplifier on ber performance of optimal SEFDM signals," 2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Lisbon, 2016, pp. 447-450. doi: 10.1109/ICUMT.2016.7765401
  19. S. V. Zavjalov, S. V. Volvenko and S. B. Makarov, "A Method for Increasing the Spectral and Energy Efficiency SEFDM Signals," in IEEE Communications Letters, vol. 20, no. 12, pp. 2382-2385, Dec. 2016. doi: 10.1109/LCOMM.2016.2607742
  20. S. V. Zavjalov, S. B. Makarov and S. V. Volvenko, "Duration of nonorthogonal multifrequency signals in the presence of controlled intersymbol interference," 2015 7th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Brno, 2015, pp. 49-52. doi: 10.1109/ICUMT.2015.7382404
  21. Zavjalov, S.V., Makarov, S.B., Volvenko, S.V. Reduction of energy losses under conditions of overcoming “Nyquist barrier” by optimal signal selection (2016) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9870 LNCS, pp. 620-627. doi: 10.1007/978-3-319-46301-8_53
  22. Zavjalov, S.V., Makarov, S.B., Volvenko, S.V., De Yuan, S. Possibilities of “Nyquist barrier” breaking by optimal signal selection (2016) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9870 LNCS, pp. 612-619. doi: 10.1007/978-3-319-46301-8_52