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Record W1967168353 · doi:10.1109/icpads.2012.14

Hybrid Mode Radio Link Control for Efficient Video Transmission over 4GLTE Network

2012· article· en· W1967168353 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicVideo Coding and Compression Technologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComputer scienceComputer networkHeaderJitterReal-time computingTransmission (telecommunications)Wireless networkNetwork packetVideo qualityWirelessTelecommunicationsEngineering

Abstract

fetched live from OpenAlex

Accessing video content on mobile devices has become widespread in recent years. The wireless network has to become content aware in order to offer enhanced quality of video service through efficient utilisation of the wireless spectrum. This paper proposes a scheme for end-to-end video transmission over Long Term Evolution (LTE) network. The network elements are made aware of the critical video frames that are transmitted through the network with the help of a field in Internet Protocol (IP) header which reduces the processing time. A new mode of operation called Hybrid Mode (HM) for Radio Link Control (RLC) of evolved NodeB (eNodeB) has been defined to ensure the reliable delivery of critical video frames which in turn increase the video quality. The simulation results with the proposed scheme show a 7% increase in received video quality in comparison to the legacy Unacknowledged Mode (UM) of RLC. The proposed scheme also removes the major jitter and provides a reduction in end-to-end delay by 99% when compared with the Acknowledged Mode (AM).

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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score0.528

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 science0.0010.000
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 head0.015
GPT teacher head0.252
Teacher spread0.237 · 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