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Record W2912092237 · doi:10.1109/mwc.2018.1800092

Layered-Division-Multiplexing for High Spectrum Efficiency and Service Flexibility in Next Generation ATSC 3.0 Broadcast System

2019· article· en· W2912092237 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

VenueIEEE Wireless Communications · 2019
Typearticle
Languageen
FieldEngineering
TopicTelecommunications and Broadcasting Technologies
Canadian institutionsWestern UniversityCommunications Research Centre Canada
Fundersnot available
KeywordsComputer scienceBackhaul (telecommunications)MultiplexingSpectral efficiencyScalabilityBroadcasting (networking)WirelessWireless broadbandFlexibility (engineering)Computer networkTelecommunicationsWireless networkBeamforming

Abstract

fetched live from OpenAlex

LDM, a non-orthogonal multiplexing technology, is one of the main innovations in ATSC 3.0, a next generation terrestrial TV broadcast system. This article gives a general overview of the LDM technology, its current applications in the ATSC 3.0 system, and its cost in terms of the required additional complexity. The transmission capacity benefit offered by LDM is explained by theoretical analysis and demonstrated by simulation results. An efficient implementation scheme is described with less than 15 percent complexity increase. New service coverage paradigms enabled by LDM are presented. Finally, more future innovative applications of LDM, along with their benefits and challenges, are introduced. These include using LDM for wireless in-band backhaul, combining LDM with scalable video coding, and the application of LDM in other future broadcasting and 4G/5G broadband systems.

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: Empirical
Teacher disagreement score0.423
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.062
GPT teacher head0.266
Teacher spread0.204 · 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