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Record W2541483476 · doi:10.1109/icupc.1994.383071

The design of a radio link for indoor wireless communications at 29 GHz

2002· article· en· W2541483476 on OpenAlexaff
Grigorios Kalivas, M. El-Tanany, S. Mahmoud

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsFadingComputer scienceChannel (broadcasting)WirelessBroadbandRadio Link ProtocolRadio frequencyElectronic engineeringElectrical engineeringTransmitter power outputLink budgetTelecommunicationsEngineeringTransmitter

Abstract

fetched live from OpenAlex

This paper outlines the design of an experimental indoor broadband radio system at 29 GHz. Based on this design, the availability of this system is presented for various cell sizes and transmitted power values. The system has a maximum information bit rate of 155 Mb/sec and a maximum receiver noise figure of 8 dB. Channel measurements and modeling which were performed during an earlier stage of the project provided some of the parameters for the design of the system. These include distance-power law exponents and received fading envelope statistics. The design of the link is based on a quadrature up/down converter configuration. Both the transmitting and receiving parts have one front-end RF stage at 29 GHz and one IF stage at 2.5 GHz. Several different scenarios with different antenna types and orientations are considered taking into account experimentally determined channel characteristics such as received signal power distributions and large scale attenuation losses. The link design and the calculated availability figures demonstrate that reliable indoor portable radio systems can accommodate microcells of radius up to 50 m.>

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.045
GPT teacher head0.230
Teacher spread0.185 · 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 designBench or experimental
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

Citations1
Published2002
Admission routes1
Has abstractyes

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