Investigating the Effect of Distance and TXOP Allocation Limit in IEEE 802.11bd Networks
Bibliographic record
Abstract
The recent IEEE 802.11bd communication technology allows next-generation vehicle (NGV) devices to make use of wide channels using channel bonding, both with and without fallback, in addition to multiple packet transmission using transmission opportunity (TXOP) allocation. To evaluate its performance in an environment which also contains legacy or non-NGV devices that do not support TXOP allocation, we develop a detailed analytical model through probabilistic modeling and Markov chain analysis. The model includes data rate scaling with distance from the roadside unit (RSU). Performance analysis provided by the model shows that enhanced distributed channel access (EDCA), which is available for both NGV and legacy devices, provides noticeable prioritization of traffic; that TXOP allocation leads to better performance by an amount which depends on the traffic priority level; and that NGV devices that use fallback experience better performance than either legacy devices or NGV devices that do not use fallback.
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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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".