RESEARCH OF OFDM SIGNAL EFFICIENCY IN LATEST GENERATION MOBILE NETWORKS UNDER INTERFERENCE

DOI: 10.31673/2786-8362.2025.029306

Authors

  • В. І. Кравченко, (Kravchenko V.I.) State University of Information and Communication Technologies, Kyiv
  • І. І. Борисенко, (Borysenko I.I.) State University of Information and Communication Technologies, Kyiv, Ukraine
  • О. І. Голубенко, (Golubenko O.I.) Academician Yuriy Bugay International Scientific and Technical University, Kyiv, Ukraine
  • В. П. Яковець, (Yakovets V.P.) State University of Information and Communication Technologies, Kyiv
  • Н. С. Хаб’юк, (Khabiuk N.S.) State University of Information and Communication Technologies, Kyiv

DOI:

https://doi.org/10.31673/2786-8362.2025.029306

Abstract

The article
investigates the impact of subscriber mobility and frequency shifts on the behavior of multicarrier signals
in modern wireless networks using OFDM approaches as an example. The mechanisms through which
changes in speed and frequency synchronization errors lead to the appearance of intersymbol and
intercarrier interference, as well as to degradation of reception quality, are considered. Based on analytical
considerations, an approach is proposed for evaluating the trade-off between desired spectral efficiency and
signal stability in conditions of user mobility. The concept of adapting the parameters of the multi-carrier
signal depending on channel conditions and mobility is described, and practical methods that can reduce
the negative effects of frequency shifts are discussed, from improving frequency localization to the use of
adaptive signal processing schemes. It is emphasized that optimal solutions depend on the usage scenario
and must take into account compatibility with existing standards and hardware limitations.
Keywords: LTE, OFDM, MIMO, Doppler effect, spectral efficiency

References
1. Mohammed S.K., Prakash S., Ubadah M., Ali K.I., Hadani R., Rakib S., Kons S., Hebron Y.,
Chockalingam A., Calderbank R. Zak-OFDM: Low Complexity Joint Equalization of OFDM
Carriers in Doubly-Spread Channels. URL: https://doi.org/10.48550/arXiv.2506.23045.
2. Ma Y., Ai B., Yuan J., Li S., Cheng Q., Shi Z., Yuan W., Wei Z., Shafie A., Ma G., Lu Y.,
Yang M., Zhong Z. Delay-Doppler Domain Signal Processing Aided OFDM (DD-a-OFDM) for 6G
and Beyond. URL: https://doi.org/10.48550/arXiv.2508.04253.
3. Fine carrier frequency offset estimation for OFDM and MIMO-OFDM systems: A
comparative study / M. M. E. Kotb et al. Scientific Reports. 2025. Vol. 15, no. 1. URL:
https://doi.org/10.1038/s41598-025-98233-3.
4. Hander A., Erkal B., Rahebi J. Symbol Classification in Receiver of OFDM Carrier Signal
with Deep Learning and Whale Optimization Algorithm. Politeknik Dergisi. 2025. P. 1. URL:
https://doi.org/10.2339/politeknik.1664072.
5. Experimental review of wideband OFDM in electronic sub-mmW wireless communication /
S. Haussmann et al. International Journal of Microwave and Wireless Technologies. 2025. P. 1–10.
URL: https://doi.org/10.1017/s1759078725102365.
6. Cho J. H., Lee J. H. OFDM-Based Carrier Phase Localization with Integer Ambiguity
Resolution. IEEE Access. 2025. P. 1. URL: https://doi.org/10.1109/access.2025.3585495.
7. Nagaraj S., Sarkar M. Inter-Carrier Interference Reduction Technique for Backscattered
OFDM. IEEE Transactions on Vehicular Technology. 2024. P. 1–5. URL:
https://doi.org/10.1109/tvt.2024.3381868.
8. Joint Optimization and Performance Analysis of Analog Shannon–Kotel’nikov Mapping for
OFDM with Carrier Frequency Offset / J. Lin et al. Entropy. 2025. Vol. 27, no. 8. P. 778. URL:
https://doi.org/10.3390/e27080778.

Published

2026-01-19

Issue

Section

Articles