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Record W4308538949 · doi:10.48550/arxiv.2112.02404

Favorable Propagation for Massive MIMO with Circular and Cylindrical\n Antenna Arrays

2021· preprint· W4308538949 on OpenAlexaff
Elham Anarakifirooz, Sergey Loyka

Bibliographic record

VenuearXiv (Cornell University) · 2021
Typepreprint
Language
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsKronecker deltaBessel functionAntenna (radio)MIMOInterference (communication)Bounding overwatchFunction (biology)MathematicsPhysicsMathematical analysisTopology (electrical circuits)TelecommunicationsComputer scienceChannel (broadcasting)Combinatorics

Abstract

fetched live from OpenAlex

Massive MIMO systems with uniform circular and cylindrical antenna arrays are\nstudied. Favorable propagation property is rigorously shown to hold\nasymptotically in LOS environment for a fixed antenna spacing and under some\nmild conditions. The analysis is based on a novel method using a Bessel\nfunction expansion, a new bounding technique and a simplified representation of\ninter-user interference for array geometries obeying Kronecker structure.\n

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.036
GPT teacher head0.164
Teacher spread0.127 · 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 designSimulation or modeling
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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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