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Record W2077820612 · doi:10.1109/ieeegcc.2009.5734249

Optimization of pilot placement in adaptive M-PSK modulation systems in Rayleigh fading channel

2009· article· en· W2077820612 on OpenAlex
Serguei Primak, Khaled Mohamad Almustafa

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venueexhibition · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Wireless Network Optimization
Canadian institutionsWestern University
FundersDefence Research and Development Canada
KeywordsRayleigh fadingFadingLink adaptationChannel (broadcasting)Decoding methodsComputer scienceChannel state informationFrame (networking)Phase-shift keyingModulation (music)Electronic engineeringControl theory (sociology)Bit error rateAlgorithmTelecommunicationsEngineeringPhysicsWirelessAcoustics

Abstract

fetched live from OpenAlex

Performance of constant-power variable-rate M-PSK schemes over Rayleigh fading channels in the presence of Imperfect Channel State Information is investigated for a single frame decoding and prediction. Negligible time delay between channel estimation and signal set adaptation was assumed. The optimization of frame duration, conditioned on the target BER is investigated. An analytical expression for the desired threshold is derived. Its dépendance on the targeted BER and quality of the feedback is investigated.

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: none
Teacher disagreement score0.895
Threshold uncertainty score0.642

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 head0.015
GPT teacher head0.214
Teacher spread0.199 · 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