An Auction Mechanism for Channel Access in Vehicle-to-Roadside Communications
Bibliographic record
Abstract
This paper considers a public transportation system, which offers Internet access services to the commuting passengers. Suppose the Internet connection is available at few roadside base stations (RSBs) in a city. Our objective is to solve the bandwidth allocation problem when there are several vehicles connected to an RSB at the same time and the bandwidth of the link to the RSB has to be shared among these vehicles. To solve this bandwidth allocation problem, we propose a game-theoretic model. The main concept of the model is to let each vehicle compete with others in order to obtain the required amount of bandwidth. We formulate this game as an auction game where the vehicles are the bidders and the RSB is the auctioneer. From the performance study, we observe that there is an equilibrium which is a solution in this game. To obtain the solution in a distributed manner, an iterative algorithm is presented.
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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".