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This study explores a high-speed communication medium access control (MAC) protocol designed for the THz band, simulating 42 cases to evaluate performance. To analyze the received power from the Access Point, at the Mobile Terminal level, we utilized Empirical Mode Decomposition (EMD) and Marginal Hilbert Spectrum (MHS) due to their proven effectiveness in decomposing nonlinear signals and their successful applications across various fields. We applied four statistical methods (mean, interquartile range variance, and skewness) to analyze the MHS, revealing distinct clustering behaviors in different topologies. The results indicate that the centered topology demonstrated higher signal consistency and clustering, while the uniform topology exhibited greater variability and dispersion. It also highlights the pivotal role of topology, with centered configurations outperforming uniform ones by 17 dB in signal variance. The paper proves how the MHS effectively extracts topology-driven differences in signal clustering and variability. It further demonstrates the importance of designing the optimal topology for positioning the mobile terminals to enhance the Quality of Service of the THz MAC protocol, enabling efficient and robust communication in THz-band networks.

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Analysis of High-Speed Radio Communication in THz Bands: Topological Impacts and Signal Decomposition Using Empirical Mode Decomposition and Marginal Hilbert Spectrum

  • 会议论文

  • 发表日期：

    2025年

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  • Djamila Talbi,
  • Zoltan Gal

摘要

This study explores a high-speed communication medium access control (MAC) protocol designed for the THz band, simulating 42 cases to evaluate performance. To analyze the received power from the Access Point, at the Mobile Terminal level, we utilized Empirical Mode Decomposition (EMD) and Marginal Hilbert Spectrum (MHS) due to their proven effectiveness in decomposing nonlinear signals and their successful applications across various fields. We applied four statistical methods (mean, interquartile range variance, and skewness) to analyze the MHS, revealing distinct clustering behaviors in different topologies. The results indicate that the centered topology demonstrated higher signal consistency and clustering, while the uniform topology exhibited greater variability and dispersion. It also highlights the pivotal role of topology, with centered configurations outperforming uniform ones by 17 dB in signal variance. The paper proves how the MHS effectively extracts topology-driven differences in signal clustering and variability. It further demonstrates the importance of designing the optimal topology for positioning the mobile terminals to enhance the Quality of Service of the THz MAC protocol, enabling efficient and robust communication in THz-band networks.