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Record W2594306674 · doi:10.1109/antem.2004.7860648

Information theory and electromagnetism: Are they related?

2004· article· en· W2594306674 on OpenAlexaff
Sergey Loyka

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced MIMO Systems Optimization
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsElectromagnetismAntenna (radio)Limit (mathematics)Aperture (computer memory)MIMOMathematicsPhysicsChannel capacityAntenna apertureNyquist–Shannon sampling theoremMathematical analysisTopology (electrical circuits)TelecommunicationsChannel (broadcasting)Radiation patternComputer scienceQuantum mechanicsAcoustics

Abstract

fetched live from OpenAlex

In this paper, we study the limitations imposed by the laws of electromagnetism on achievable MIMO channel capacity in its general form. Our approach is a two-fold one. First, we use the channel correlation argument to demonstrate that the minimum antenna spacing under any scattering conditions is at least half a wavelength. Secondly, using a plane-wave spectrum expansion of a generic electromagnetic wave combined with Nyquist sampling theorem in the spatial domain, we show that the laws of electromagnetism limit the minimum antenna spacing to half a wavelength, λ/2, (in the case of 1-D antenna apertures) only asymptotically, when the number of antennas n Å ∞. For a finite number of antennas, this limit is slightly less than λ/2. In any case, the number of antennas and, consequently, the MIMO capacity is limited for a given aperture size. This is a scenario-independent limit.

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)0.004
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.008
Scholarly communication0.0030.014
Open science0.0020.003
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.002
GPT teacher head0.168
Teacher spread0.166 · 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 designTheoretical or conceptual
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
Published2004
Admission routes1
Has abstractyes

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