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Record W2738587533 · doi:10.1109/bmsb.2017.7986163

Coverage analysis on improved LTE eMBMS with layered-division-multiplexing and longer cyclic prefix

2017· article· en· W2738587533 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
FieldEngineering
TopicTelecommunications and Broadcasting Technologies
Canadian institutionsWestern UniversityCommunications Research Centre Canada
Fundersnot available
KeywordsMultimedia Broadcast Multicast ServiceCyclic prefixComputer scienceOrthogonal frequency-division multiplexingComputer networkMulticastBroadcasting (networking)Division (mathematics)Software deploymentMultiplexingTelecommunicationsMathematics

Abstract

fetched live from OpenAlex

3GPP is currently studying the improvement on the LTE eMBMS system to provide more capabilities and flexibilties on delivering multicast/broadcast services using the LTE infrastructure. This paper investigates the performance of an improved LTE eMBMS system using layered-division-multiplexing (LDM) technology and longer cyclic prefix (CP). The link-layer performance of using two-layer LDM in eMBMS system is first investigated with extensive computer simulations. Coverage analysis is then conducted on future eMBMS services with different cyclic prefix (CP) lengths, to allow more efficient deployment of multicast/broadcast single-frequency-network (MBSFN) for different cell sizes. The coverage performance is then used to demonstrate the capability of the improved eMBMS system with LDM to simultaneously deliver high-definition (HD) indoor/mobile services and ultra-HD fixed services targeting receivers with rooftop antennas.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score0.400

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 head0.013
GPT teacher head0.235
Teacher spread0.223 · 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