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Record W2131218545 · doi:10.2528/pierb08050402

MULTI-POLARIZATION DIMENSIONALITY OF MULTI-ANTENNA SYSTEMS

2009· article· en· W2131218545 on OpenAlexfundno aff
M.S. Elnaggar, Sujeet K. Chaudhuri, Safieddin Safavi‐Naeini

Bibliographic record

VenueProgress In Electromagnetics Research B · 2009
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCurse of dimensionalityComputer sciencePolarization (electrochemistry)Antenna (radio)TelecommunicationsArtificial intelligenceChemistry

Abstract

fetched live from OpenAlex

Abstract—Based on the deterministic Maxwellian framework, we investigate the ability of each of the dual fields (electric and magnetic) in carrying independent information in a multi-polarization MIMO system. We quantify the performance by using a well-defined power independent dimensionality (PID) metric. We present numerical results for 3 deterministic scenarios: a canonical free-space (near and far field exact solution), a canonical PEC corridor (using rigorous modal analysis) and a lossy-wall corridor (using image ray tracing). The deterministic results show that in a multi-path rich environment, the hexapole system (collocated polarized electric and magnetic point radiators) is almost guaranteed to provide more than 3 DOF. However, in the simulated scenarios, the maximum 6 DOF are never attained due to the inevitable coupling between the electric and magnetic fields. On the other hand, for a tripole system, the upper-limit of 3 DOF is achievable. 1.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.341
Teacher spread0.293 · 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

Citations17
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueProgress In Electromagnetics Research BSame topicAntenna Design and AnalysisFrench-language works237,207