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arxiv: 2603.25927 · v2 · submitted 2026-03-26 · 💻 cs.IT · math.IT

Measurement Campaigns, Datasets, and Curve Fitting Officially Used by 3GPP in Release 19 for Channel Modeling in TR 38.901 for 7-24 GHz

Hitesh Poddar , Jianhua Zhang , Ximan Liu , Mansoor Shafi This is my paper

Pith reviewed 2026-05-15 00:04 UTC · model grok-4.3

classification 💻 cs.IT math.IT
keywords 3GPPchannel modelingmeasurement campaignscurve fittingTR 38.9017-24 GHzRelease 19path loss
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The pith

3GPP Release 19 documents the exact measurement campaigns, datasets and curve fits used for channel models in TR 38.901 covering 7-24 GHz.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper assembles and presents the measurement campaigns, datasets, and curve-fitting steps that 3GPP officially adopted in Release 19 to define channel models for the 7-24 GHz band inside TR 38.901. This compilation gives engineers and researchers direct access to the empirical sources behind the standardized parameters. A reader cares because these models determine how well simulations predict coverage, capacity, and interference for 5G-Advanced and 6G systems operating in that frequency range.

Core claim

This document provides comprehensive details of the Measurement Campaigns, Datasets, and Curve Fitting Officially Used by 3GPP in Release 19 for Channel Modeling in TR 38.901 for 7-24 GHz.

What carries the argument

The set of official 3GPP measurement campaigns and curve-fitting procedures that generate the channel model parameters in TR 38.901 for frequencies 7-24 GHz.

If this is right

  • Simulators can now replicate the 3GPP 7-24 GHz models using the exact source data and fit equations.
  • Designers obtain traceable links from raw measurements to standardized path-loss and delay-spread values.
  • Verification teams can audit how well the adopted curves represent the underlying measurement statistics.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The same documentation approach could be applied to future releases covering frequencies above 24 GHz.
  • Independent researchers could re-analyze the listed datasets to test alternative fitting methods.
  • The work underscores how measurement campaigns directly shape international wireless standards.

Load-bearing premise

The reported details accurately and completely match the official 3GPP processes, data, and fittings without transcription errors or omissions.

What would settle it

Side-by-side comparison of the paper's listed campaigns, dataset descriptions, and fitted equations against the published 3GPP TR 38.901 Release 19 text to identify any mismatches.

Figures

Figures reproduced from arXiv: 2603.25927 by Hitesh Poddar, Jianhua Zhang, Mansoor Shafi, Ximan Liu.

Figure 1
Figure 1. Figure 1: Example of an Excel sheet corresponding to the data values for UMi Mean DS. Each source independently [PITH_FULL_IMAGE:figures/full_fig_p010_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Curve fitting of RT and Meas. data for the mean of lgDS in UMi LOS and NLOS channel conditions [PITH_FULL_IMAGE:figures/full_fig_p011_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: Curve fitting of RT and Meas. data for the standard deviation of lgDS in UMi LOS and NLOS channel [PITH_FULL_IMAGE:figures/full_fig_p012_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: Curve fitting of RT and Meas. data for the mean of lgASD in UMi LOS and NLOS channel conditions [PITH_FULL_IMAGE:figures/full_fig_p013_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Curve fitting of RT and Meas. data for the standard deviation of lgASD in UMi LOS and NLOS channel [PITH_FULL_IMAGE:figures/full_fig_p014_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: Curve fitting of RT and Meas. data for the standard deviation of lgASA in UMi LOS and NLOS channel [PITH_FULL_IMAGE:figures/full_fig_p015_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Curve fitting of RT and Meas. data for the standard deviation of lgASA in UMi LOS and NLOS channel [PITH_FULL_IMAGE:figures/full_fig_p016_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: Curve fitting of RT and Meas. data for the mean of lgZSA in UMi LOS and NLOS channel conditions [PITH_FULL_IMAGE:figures/full_fig_p017_8.png] view at source ↗
Figure 9
Figure 9. Figure 9: Curve fitting of RT and Meas. data for the standard deviation of lgZSA in UMi LOS and NLOS channel [PITH_FULL_IMAGE:figures/full_fig_p018_9.png] view at source ↗
Figure 10
Figure 10. Figure 10: Curve fitting of RT and Meas. data for the mean of lgDS in UMa LOS and NLOS channel conditions [PITH_FULL_IMAGE:figures/full_fig_p019_10.png] view at source ↗
Figure 11
Figure 11. Figure 11: Curve fitting of RT and Meas. data for the standard deviation of lgDS in UMa LOS and NLOS channel [PITH_FULL_IMAGE:figures/full_fig_p020_11.png] view at source ↗
Figure 12
Figure 12. Figure 12: Curve fitting of RT and Meas. data for the mean of lgASD in UMa LOS and NLOS channel conditions [PITH_FULL_IMAGE:figures/full_fig_p021_12.png] view at source ↗
Figure 13
Figure 13. Figure 13: Curve fitting of RT and Meas. data for the standard deviation of lgASD in UMa LOS and NLOS channel [PITH_FULL_IMAGE:figures/full_fig_p022_13.png] view at source ↗
Figure 14
Figure 14. Figure 14: Curve fitting of RT and Meas. data for the mean of lgASA in UMa LOS and NLOS channel conditions [PITH_FULL_IMAGE:figures/full_fig_p023_14.png] view at source ↗
Figure 15
Figure 15. Figure 15: Curve fitting of RT and Meas. data for the standard deviation of lgASA in UMa LOS and NLOS channel [PITH_FULL_IMAGE:figures/full_fig_p024_15.png] view at source ↗
Figure 16
Figure 16. Figure 16: Curve fitting of RT and Meas. data for the mean of lgZSA in UMa LOS and NLOS channel conditions [PITH_FULL_IMAGE:figures/full_fig_p025_16.png] view at source ↗
Figure 17
Figure 17. Figure 17: Curve fitting of RT and Meas. data for the standard deviation of lgZSA in UMa LOS and NLOS channel [PITH_FULL_IMAGE:figures/full_fig_p026_17.png] view at source ↗
Figure 18
Figure 18. Figure 18: Curve fitting of RT and Meas. data for the mean and standard deviation of lgDS in SMa LOS and NLOS [PITH_FULL_IMAGE:figures/full_fig_p027_18.png] view at source ↗
Figure 19
Figure 19. Figure 19: Curve fitting of RT and Meas. data for the mean and standard deviation of lgASD in SMa LOS and [PITH_FULL_IMAGE:figures/full_fig_p028_19.png] view at source ↗
Figure 20
Figure 20. Figure 20: Curve fitting of RT and Meas. data for the mean and standard deviation of lgASA in SMa LOS and [PITH_FULL_IMAGE:figures/full_fig_p029_20.png] view at source ↗
Figure 21
Figure 21. Figure 21: Curve fitting of RT and Meas. data for the mean and standard deviation of lgZSA in SMa LOS and [PITH_FULL_IMAGE:figures/full_fig_p030_21.png] view at source ↗
Figure 22
Figure 22. Figure 22: Meas. data for penetration loss of plywood over 0.5-30 GHz, with an OLS fitted line (1.03 + 0.17 f [ [PITH_FULL_IMAGE:figures/full_fig_p031_22.png] view at source ↗
read the original abstract

This document provides comprehensive details of the Measurement Campaigns, Datasets, and Curve Fitting Officially Used by 3GPP in Release 19 for Channel Modeling in TR 38.901 for 7-24 GHz

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The manuscript compiles and presents the measurement campaigns, datasets, and curve-fitting procedures officially adopted by 3GPP in Release 19 for the channel modeling specifications in TR 38.901, with a focus on the 7-24 GHz frequency range.

Significance. If the reported values faithfully reproduce the official 3GPP specifications, the paper provides a useful centralized reference that consolidates scattered information from multiple 3GPP documents, aiding researchers and engineers in implementing and validating standardized channel models for upper mid-band frequencies without direct access to the full set of 3GPP contributions.

minor comments (3)
  1. The abstract is extremely terse and does not enumerate the main parameter categories (e.g., path-loss exponents, shadow-fading statistics, delay-spread parameters) that are documented; expanding it by one sentence would improve reader orientation.
  2. Tables throughout the manuscript would benefit from explicit column headers that include units (e.g., dB, ns, degrees) rather than relying solely on the surrounding text for interpretation.
  3. A short appendix or table that maps each presented numerical value to the exact clause and version of TR 38.901 Release 19 would strengthen traceability, even though it is not required for the central claim.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their positive review of the manuscript and for recommending acceptance. We are pleased that the paper is viewed as a useful centralized reference consolidating the official 3GPP measurement campaigns, datasets, and curve-fitting procedures for channel modeling in TR 38.901 Release 19 over the 7-24 GHz range.

Circularity Check

0 steps flagged

No circularity: compilation of external 3GPP Release 19 parameters

full rationale

The paper is a documentation and transcription effort that reports measurement campaigns, datasets, and curve-fitting results officially adopted by 3GPP in TR 38.901 Release 19 for the 7-24 GHz band. It contains no original derivations, predictions, or equations whose outputs are defined in terms of their own inputs. All numerical values and models are attributed to external 3GPP specifications rather than generated from the authors' own fitted parameters or self-citations. Consequently the derivation chain is empty and the document is self-contained as a reference summary.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a documentation paper summarizing official 3GPP materials for channel modeling. No free parameters, axioms, or invented entities are introduced by the paper itself.

pith-pipeline@v0.9.0 · 5343 in / 1003 out tokens · 54303 ms · 2026-05-15T00:04:53.777785+00:00 · methodology

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Reference graph

Works this paper leans on

63 extracted references · 63 canonical work pages

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