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Record W2040783219 · doi:10.1109/glocom.2006.854

WLC41-2: Adaptive Regenerate and Forward Cooperative Diversity System based on Quadrature Signaling

2006· article· en· W2040783219 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

VenueGlobecom · 2006
Typearticle
Languageen
FieldComputer Science
TopicCooperative Communication and Network Coding
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRelayPower consumptionComputer scienceQuadrature (astronomy)Cooperative diversitySignal-to-noise ratio (imaging)Upper and lower boundsChannel (broadcasting)Control theory (sociology)Power (physics)Topology (electrical circuits)Mathematical optimizationElectronic engineeringTelecommunicationsMathematicsEngineeringFadingPhysicsArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper, an adaptive regenerate and forward cooperative diversity (CD) system based on quadrature signaling is proposed. The bit error probability (BEP) of the proposed CD system is derived in terms of the received signal-to-noise ratio (SNR) at the relay and the destination. The derived upper bound of the BEP is validated by simulations. Further, it is shown that the proposed CD system can achieve maximum diversity order of two and performs better even though the inter-user channel is poor. The power consumption of the CD system is location dependent for given BEP. To optimize the power consumption of the proposed CD system, an optimal power allocation strategy is proposed.

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: none
Teacher disagreement score0.937
Threshold uncertainty score0.688

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.021
GPT teacher head0.222
Teacher spread0.201 · 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