An accurate and effective physical layer simulator for micro- and pico-cellular radio systems and networks
Bibliographic record
Abstract
Complex multipath and interference effects have become the important system design and planning considerations in micro- and pico-cellular broadband mobile data networks such as wireless LAN (WLAN) and very short range personal area networks (PAN) like those based on Bluetooth. Another important issue is the interoperability and coexistence of these various network technologies. Bluetooth and IEEE 802.11b use the same portion of radio spectrum (2.4 GHz) and are liable to interfere. Most of the recent propagation models are based on simple statistical path loss algorithms, which become very inaccurate in the complex indoor environment. The deals with an accurate indoor end-to-end physical layer (radio channel) model including the radiowave propagation environment, antenna model, and the RF/IF front end circuit and baseband processes. The simulator's interface geometrical modeler makes the tool very convenient for complex environments. Results are shown indoor propagation effects for short-range technologies interfering on each other in a simple common RF link.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".