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Record W2130126171 · doi:10.1109/vetecs.2003.1207867

SS-OFDM-F/TA system packet size and structure for high mobility cellular environments

2004· article· en· W2130126171 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Network Optimization
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOrthogonal frequency-division multiplexingComputer scienceNetwork packetThroughputComputer networkTransmission (telecommunications)Disjoint setsTransmission delayWirelessTelecommunicationsChannel (broadcasting)

Abstract

fetched live from OpenAlex

The SS-OFDM-F/TA system takes advantage of multi-user diversity and adaptively allocates radio resources in two dimensions. Effective allocation of radio resources to vehicular user requires relatively small transmission sizes in comparison to those suitable for low-mobility environments. In this paper, appropriate packet sizes and structures for the SS-OFDM-F/TA system are determined in highly frequency-selective channels, for high mobility (e.g. vehicular) users. Three sets of transmission formats corresponding to various packet sizes, the allocation of sets of disjoint sub-bands and division packets into sub-packets are considered. The average data throughput per sector and packet delay performance for each system configuration are determined in vehicular environments with slow and fast sector selection.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.634
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.003
GPT teacher head0.164
Teacher spread0.161 · 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

Quick stats

Citations7
Published2004
Admission routes2
Has abstractyes

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