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Record W2020175615 · doi:10.1049/iet-com.2014.0534

Physical layer security of multiple‐input–multiple‐output systems with transmit beamforming in Rayleigh fading

2015· article· en· W2020175615 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

VenueIET Communications · 2015
Typearticle
Languageen
FieldEngineering
TopicWireless Communication Security Techniques
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsRayleigh fadingFadingPhysical layerBeamformingComputer scienceTelecommunicationsWirelessChannel (broadcasting)

Abstract

fetched live from OpenAlex

This study analyses the physical layer security in the wiretap channel for multiple‐input–multiple‐output transmit‐beamforming (TB) systems with maximal ratio combining (MRC) receivers. The TB is designed to maximise the signal‐to‐noise ratio (SNR) at the main receiver output. The authors assume that both legitimate and eavesdropper receivers have the knowledge of their own channel state information (CSI). Furthermore, they consider that the transmitter has the full CSI of the main channel and does not have the CSI of the eavesdropper's channel. At the eavesdropper, two combining methods are considered: (i) MRC technique and (ii) selection combining method. They derive closed‐form expressions for the exact secrecy outage probability (SOP) and the probability of strictly positive secrecy capacity. Expressions of the asymptotic SOP and the asymptotic ε ‐outage secrecy capacity are also derived. The secrecy diversity order and the secrecy SNR gain are then obtained.

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 score0.544
Threshold uncertainty score0.996

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 science0.0020.000
Research integrity0.0000.001
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 head0.048
GPT teacher head0.274
Teacher spread0.226 · 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