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Record W1571337872

Capacity of MIMO system using polarimetric antenna elements

2012· article· en· W1571337872 on OpenAlexaff
Dao Manh Tuan, Seong‐Ook Park

Bibliographic record

VenueInternational Symposium on Antennas and Propagation · 2012
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsMIMOPolarimetryChannel capacityPolarization (electrochemistry)ScatteringAntenna (radio)Electronic engineeringAntenna diversityComputer scienceDipole antennaPhysicsTelecommunicationsChannel (broadcasting)OpticsEngineering
DOInot available

Abstract

fetched live from OpenAlex

Exploitation of polarization for MIMO system is a promising approach to increase multiple parallel channels, particularly for space-limited mobile and base-stations. For this purpose, the use of polarimetric antenna elements has been studied by both theoretical studies and experiment [1]-[4]. The studies, however, present different conclusion on the number of possible independent parallel channels from polarization diversity. In this paper, we study the use of polarimetric antennas under different scattering environments by using a three dimensional (3D) polarized channel modelling in which the Fisher-Bingham (FB5) distribution was used to model direction of scatterers in 3D space. We found that due to a significant correlation between electric and magnetic dipoles, only four independent channels are obtained in fully scattering condition and that in order to achieve full capacity, a certain separation between them is required. Our results can be used for optimisation of array antenna design using polarimetric antenna elements.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.946
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.235
Teacher spread0.214 · 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 teacher head, 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

Citations0
Published2012
Admission routes1
Has abstractyes

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