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Record W1527389525 · doi:10.1109/icwc.1992.200713

The probability of error for optimum detection on the two wave Rayleigh fading channel

2003· article· en· W1527389525 on OpenAlexaff
M. Alles, S. Pasupathy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MIMO Systems Optimization
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRayleigh fadingFadingChannel (broadcasting)DetectorRayleigh scatteringProbability of errorExpression (computer science)AlgorithmEnergy (signal processing)MathematicsDiversity combiningWirelessComputer scienceTopology (electrical circuits)Applied mathematicsStatisticsTelecommunicationsPhysicsCombinatoricsOptics

Abstract

fetched live from OpenAlex

The indoor wireless channel (20-60 GHz) can be modeled by a two wave Rayleigh model. The authors consider the optimum detector for equal energy signals on the two wave Rayleigh fading channel with known delay. They obtain upper and lower bounds on the probability of error when communicating on this channel using signals with nonzero complex cross-correlation. The bounds obtained converge to an exact expression for uniformly orthogonal signals. The expression explicitly demonstrates the existence of a diversity like effect, present whenever the delay is nonzero. Numerical evaluation of the bounds indicate that when the complex cross-correlation of the signals is small, the performance is nearly the same as the performance of the detector when it uses signals with zero complex cross-correlation.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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 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 score0.981
Threshold uncertainty score0.229

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 head0.036
GPT teacher head0.247
Teacher spread0.211 · 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 teacher head, 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

Citations3
Published2003
Admission routes1
Has abstractyes

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