Research on Accurate Modeling and Simulation of Physical Layer of Wireless Network
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In wireless network simulation, the accuracy of the simulation for higher layer communication protocols heavily depends on the quality of PHY layer (physical layer) modeling and simulation. However, the precision of OPNET modeling doesn’t meet the need of wireless network simulation. In order to model and simulate the fundamentals of PHY layer accurately, the adverse effect upon the simulation accuracy is analyzed, which is deriving from the inward deficiencies of the original OPNET PHY layer simulation mechanism, such as inauthenticity of wireless channel and inaccuracy of transceiver working. Moreover, combining the fundamentals of PHY layer, an effective improved method to make up insufficiencies cased by OPNET modeling mechanism is proposed. This method optimizes the ways of modeling the wireless channel, transceiver mechanism, calculation of frame-error rate (FER), and so on. Indicated from the simulation results, the innovated method for PHY layer modeling and simulation is able to remarkably improve the accuracy of the OPNET pipeline stage simulation mechanism.
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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 it