MétaCan
Menu
Back to cohort
Record W1596671267 · doi:10.1109/pacrim.2003.1235755

Spectral efficiency of packet transmission with adaptive uncoded signaling compared to channel capacity

2004· article· en· W1596671267 on OpenAlexaff
Peter F. Driessen

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Network Optimization
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSpectral efficiencyTransmission (telecommunications)SignallingChannel capacityChannel (broadcasting)Computer scienceThroughputNetwork packetBlock (permutation group theory)Electronic engineeringChannel spacingComputer networkTelecommunicationsMathematicsEngineeringPhysicsWirelessOptoelectronicsWavelength-division multiplexing

Abstract

fetched live from OpenAlex

The throughput performance (spectral efficiency) versus SNR of packet transmission using uncoded signalling is compared to channel capacity. It is shown that the uncoded M-QAM signalling is 8.25 /spl plusmn/ 0.5 dB away from capacity over a wide range of block lengths L. For m-chip spread spectrum, the corresponding value is 10.5 dB. This result may be useful for evaluating the benefit of adaptive signalling in various system contexts without the need to refer to a specific air interface.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.199
Teacher spread0.185 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2004
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Wireless Network OptimizationFrench-language works237,207