A realistic analytical model of IEEE 802.11p for Wireless Access in Vehicular Networks
Why this work is in the frame
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Bibliographic record
Abstract
The IEEE 802.11p is an emerging wireless protocol dedicated for Wireless Access in the Vehicular Environment (WAVE). It employs the Enhanced Distributed Channel Access (EDCA) mechanism to access the channel. Its objective is to provide differentiated services to vehicular networks which are delay-sensitive and requires high communication throughput. In this paper, we carry out comprehensive performance analysis of the IEEE 802.11p standard. We propose a Markov chain-based analytical model that depicts accurate representation of the IEEE 802.11p MAC sub-layer. We take into account the internal collision probability that occur among different Access Categories (ACs) in the same vehicle. We also consider an unsaturated traffic condition and include the probability of finding the medium busy when sensed during the backoff period. We study the performance of the system in terms of average throughput and average time delay.
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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 | 0.001 | 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 | 0.001 | 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