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Record W1992627689 · doi:10.1109/pimrc.2011.6139886

Radio propagation measurements and channel characterisation pertinent to urban microcellular communications systems incorporating relay links

2011· article· en· W1992627689 on OpenAlexaff
R.J.C. Bultitude, Georgy Levin, Hong Zhu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicCooperative Communication and Network Coding
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsRelayNarrowbandFadingEmulationRelay channelComputer scienceChannel (broadcasting)Base stationComputer networkCommunications systemRadio propagationElectronic engineeringMobile radioTelecommunicationsEngineeringPhysics

Abstract

fetched live from OpenAlex

The future use of cellular radio systems incorporating relay links is viewed [1-3] as key to the satisfaction of ever-increasing demands for greater capacity, while maintaining installation and operating costs at manageable levels. However, because of the scarcity of published propagation measurements on relay channels, channel models that have heretofore been used to support the claimed advantages of systems incorporating relays must be considered as only provisional until more measured results are available. This paper therefore reports radio propagation measurements that were made to observe quasi-simultaneous characteristics on direct and indirect (relay) radio links in base-relay-mobile terminal configurations that result in an emulation of radio links in urban microcells. Statistics for both wide and narrowband channel parameters, models for narrowband fading, and comparisons of results for direct and indirect links pertinent to both amplify and forward (AF) and decode and forward (DF) relay systems are reported.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.136
GPT teacher head0.262
Teacher spread0.125 · 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 designObservational
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

Citations4
Published2011
Admission routes1
Has abstractyes

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