Skip to content
DraconiticResearch
Search Sources API
201,683 studies31 sourcesUpdated 42 min ago
PreprintCC BY 4.0arXiv

Sensitivity of RMS Delay Spread Estimation to Power Delay Profile Thresholding in Time-Varying Channels at 33 GHz

Abstract

Root mean square (RMS) delay spread is a key parameter characterizing temporal dispersion in radio propagation channels. Its estimation from measured power delay profiles (PDPs), however, depends strongly on the adopted power threshold. This paper investigates the sensitivity of RMS delay spread estimates to relative PDP thresholding in a time-varying millimeter-wave channel at 33 GHz. The analysis uses wideband channel sounding measurements conducted in a dynamic road environment with moving vehicles. The temporal evolution and empirical cumulative distributions of RMS delay spread are evaluated for thresholds ranging from -20 to -50 dB. Reducing the threshold increases the median RMS delay spread from approximately 140 to 168 ns and the 90th percentile from 200 to 210 ns. Both statistics converge at lower thresholds, with -40 dB providing a practical convergence level. The results emphasize the importance of threshold selection for reliable channel characterization and consistent comparison of measurements.

Related

  1. JEPA-kMMVAE: CSI Prediction for Time-Varying Wireless Channels
    Efstathios Chatziloizos, Konstantinos Vandikas, Aneta Vulgarakis Feljan +2
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  2. Leveraging Slowly Time-Varying AP-AP Channels for Interference Mitigation in Dynamic TDD
    Martin Andersson, Tung T. Vu, Pål Frenger +2
    arXivPreprintCC BY 4.0Full textGeneral mathematicsarXiv
  3. Authentication over Arbitrarily Varying Channels with Causal Adversaries
    Mayank Bakshi, Vinod M. Prabhakaran, Bikash Kumar Dey +1
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  4. FedPGT: Progressive Gradient Transmission for Vehicular Federated Learning over Time-Varying Channels
    Jintao Yan, Tan Chen, Yuxuan Sun +2
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  5. PRB-WM: Physics-Regularized Beta World Models for Predictive Link Adaptation on Real Time-Varying Underwater Acoustic Channels
    Shengjie Zhong, Zhongliang Zhao, Jingxuan Chen +5
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
BibTeX
@misc{wojtun2026sensitivity,
  title = {{Sensitivity of RMS Delay Spread Estimation to Power Delay Profile Thresholding in Time-Varying Channels at 33 GHz}},
  author = {Jarosław Wojtuń and Bartosz Czaja and Tomasz Grasza and Jan M. Kelner and Cezary Ziółkowski and Radek Zavorka and Josef Vychodil and Tomas Mikulasek and Jiri Blumenstein and Ales Prokes and Aniruddha Chandra},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.36783},
  eprint = {2610.36783},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.36783},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Sensitivity of RMS Delay Spread Estimation to Power Delay Profile Thresholding in Time-Varying Channels at 33 GHz
AU  - Jarosław Wojtuń
AU  - Bartosz Czaja
AU  - Tomasz Grasza
AU  - Jan M. Kelner
AU  - Cezary Ziółkowski
AU  - Radek Zavorka
AU  - Josef Vychodil
AU  - Tomas Mikulasek
AU  - Jiri Blumenstein
AU  - Ales Prokes
AU  - Aniruddha Chandra
PY  - 2026
DA  - 2026/10/27
PB  - arXiv
DO  - 10.48550/arxiv.2610.36783
UR  - https://arxiv.org/abs/2610.36783
AB  - Root mean square (RMS) delay spread is a key parameter characterizing temporal dispersion in radio propagation channels. Its estimation from measured power delay profiles (PDPs), however, depends strongly on the adopted power threshold. This paper investigates the sensitivity of RMS delay spread estimates to relative PDP thresholding in a time-varying millimeter-wave channel at 33 GHz. The analysis uses wideband channel sounding measurements conducted in a dynamic road environment with moving vehicles. The temporal evolution and empirical cumulative distributions of RMS delay spread are evaluated for thresholds ranging from -20 to -50 dB. Reducing the threshold increases the median RMS delay spread from approximately 140 to 168 ns and the 90th percentile from 200 to 210 ns. Both statistics converge at lower thresholds, with -40 dB providing a practical convergence level. The results emphasize the importance of threshold selection for reliable channel characterization and consistent comparison of measurements.
ER  -