Parallel Time-Domain Full-Wave Analysis and System-Level Modeling of Ultrawideband Indoor Communication Systems
Bibliographic record
Abstract
This paper demonstrates the application of a high-order finite-difference time-domain (FDTD) technique to indoor microwave ultrawideband channel modeling with a two-fold purpose. First, the advantages of both serial and parallel versions of the technique compared to the conventional FDTD are pointed out. It is also shown that the results of this full-wave analysis can be translated from the electromagnetic field level to the system level, to produce simplified, physics-based, site-specific channel models. In particular, the parameters of well-established measurement-based models are determined for a specific indoor site, by means of our electromagnetic simulation. Moreover, the proposed technique is coupled with the Monte-Carlo method to characterize the capacity of a time-hopping pulse position modulation multiple access system. Hence, a connection between the field analysis of a channel and its system-level description is made, establishing the usefulness of this work for performance projections, optimization and compatibility studies of ultrawideband communication schemes and network architectures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".