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Dielectric resonator magnetoelectric dipole arrays with low cross polarization, backward radiation, and mutual coupling for MIMO base station applications

2024· article· en· W4394627385 on OpenAlexaff
Da Yiran, Bingyi Qian, Xiaoyu Huang, Yingsong Li, Ahmed A. Kishk

Bibliographic record

VenueChina Communications · 2024
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Analysis
Canadian institutionsConcordia University
Fundersnot available
KeywordsMIMOBase stationDielectric resonatorComputer scienceResonatorDielectricPolarization (electrochemistry)TelecommunicationsCoupling (piping)DipolePhysicsOptoelectronicsElectrical engineeringElectronic engineeringMaterials scienceBeamformingChemistryEngineering

Abstract

fetched live from OpenAlex

Dielectric resonator magnetoelectric dipole (DRMED) arrays with enhanced isolation, reduced cross-polarization, and backward radiation are proposed for base station (BS) applications. The proposed antenna comprises an elevated dielectric resonator antenna (DRA) on a small metal plate above a sizeable common ground plane. The DRA is designed in its TE<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">δ11</inf> mode, acting like a magnetic dipole. The surface current excited by the differential probes flowing on the small ground plane is equivalent to an electric dipole. Since these two equivalent dipoles are orthogonal, they have the magnetoelectric dipole characteristics with reduced backward radiation. Meanwhile, the small ground planes can be treated as decoupling structures to provide a neutralization path to cancel the original coupling path. A linearly-polarized 4-element prototype array was verified experimentally in previous work. Here, a dual-polarized DRMED antenna is presented to construct a 2-element and 4×4 array for BS applications. To investigate its MIMO performance, sophisticated multi-cell scenario simulations are carried out. By using the proposed dual-polarized DRMED array, the cellular system capacity is improved by 118.6% compared to a conventional DRA array. This significant MIMO system improvement is mainly due to the reduced backward radiation and, therefore, reduced inter-cell interferences. Measurements align well with the simulations.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.007
GPT teacher head0.237
Teacher spread0.230 · 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 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

Citations13
Published2024
Admission routes1
Has abstractyes

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