Multi-Carrier Medium Access Control for In-Vehicle Power Line Communication with Imperfect Sensing
Bibliographic record
Abstract
With the rapid growth in the deployment of electronic control units within vehicle, we will witness a tremendous growth in weight, volume, and complexity of the wiring harnesses in vehicles. The use of power lines inside vehicles as a transmission medium, so-called power line communication, is a promising alternative to overcome these issues. In this paper, we present a multi-carrier contention scheme that uses a combination of time and frequency multiplexing. We address physical layer related sensing errors, i.e., false alarm and miss- detection, and obtain the probability of successful transmission and time utilization as a function of these errors. To maximize the probability of successful transmission, we consider a cross-layer approach where the average signal--to--noise ratio and sampling rate in each subcarrier are included in calculating the probability distribution that nodes use to randomly select subcarriers, and sensing threshold that is being employed in each subcarrier. Finally, numerical results are provided to show the performance of the proposed scheme in different scenarios.
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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".