Modelling of electromagnetic propagation characteristics in indoor wireless communication systems using the LOD-FDTD method
Bibliographic record
Abstract
Wireless technologies has been attracting much attention due to its wide application. Thus it is important to predict the electromagnetic propagation characterization precisely. Full-wave time-domain electromagnetic methods are usually effective in rigorously modelling and evaluating wireless channels. However, their computational expenditures are expensive, when dealing with electrically large size problems consisting of fine structures. Thus, in this paper, a rigorous full-wave numerical solution, via the locally one-direction finite difference time domain (LOD-FDTD) method for lossy media, which reduces computational time by removing the Courant-Friedrich-Levy (CFL) stability condition, is applied to characterize the wireless channel. By comparing the simulation results with the conventional FDTD, the proposed method demonstrates both good simulation efficiency and high accuracy. Post-processing of the simulation results lead to effective channel characterization with path loss exponent and probability distribution of path loss.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".