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Record W2918572158 · doi:10.1109/acssc.2018.8645203

Delay-aware Conflict-free Scheduling for LTE-V, Sidelink 5G V2X Vehicular Communication, in Highways

2018· article· en· W2918572158 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venue2018 52nd Asilomar Conference on Signals, Systems, and Computers · 2018
Typearticle
Languageen
FieldEngineering
TopicVehicular Ad Hoc Networks (VANETs)
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceScheduling (production processes)ReuseComputer networkVehicular ad hoc networkDistributed computingReal-time computingWirelessWireless ad hoc networkTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

V2X, “Vehicle-to-Everything” sidelink in 5G, facilitates communication between vehicles, pedestrians and cyclists while relying on a central scheduler in the main mode. In many applications, sidelinks in highways are formed based on the location of vehicles on the road. This defines an inherent ordered-tree structure to be used for delay-aware scheduling in LTE frame. Having these in mind, we propose the first two-dimensional expansion of a popular leading delay-aware scheduler in the literature. Our designed scheduler matches the V2X LTE multichannel environment and benefits from resource reuse while being capable of handling delay in sensitive vehicular safety applications. Compared to the existing competitors, delay control is the main feature of our scheduler. Having less or similar complexity order, this feature comes at the cost of less efficient resource reuse.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.247
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it