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Record W2182529666 · doi:10.1109/eumc.2015.7345734

Millimeter wave spatial multiplexing: Feasibility and performance of a short range 2×2 link

2015· article· en· W2182529666 on OpenAlexaff
Eddy Dailleux, Jean‐François Frigon, C. Hannachi, Serioja Ovidiu Tatu

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsInstitut National de la Recherche ScientifiquePolytechnique Montréal
Fundersnot available
KeywordsSpatial multiplexingMIMOMultiplexingComputer scienceElectronic engineering3G MIMOTransmitterBandwidth (computing)Multi-user MIMOStatistical time division multiplexingChannel (broadcasting)EngineeringTelecommunications

Abstract

fetched live from OpenAlex

In this paper, a 60 GHz short-range spatial multiplexing architecture for a 2 × 2 MIMO (Multiple-Input Multiple-Output) system is proposed and analyzed. High-speed communications can be achieved at 60 GHz thanks to the availability of 7 GHz of unlicensed bandwidth and strong free-space attenuation, allowing efficient spectrum reuse. Spatial multiplexing MIMO techniques can also be used to furher improve the data rate. A computer model using measured results of 8 patches microstrip antenna array for both transmitter and receiver antennas is proposed to analyze a MIMO spatial multiplexing architecture which diagonalize the channel matrix in hardware, by tuning certain physical parameters. This method avoids the conventional MIMO signal processing which requires high speed embedded DSP. Measurement results of the spatial multiplexing systems are also presented. This study proves that the capacity of the proposed MIMO system can be considerably increased compared to SISO (Single-Input-Single-Output) under certain conditions.

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: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.387

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 head0.094
GPT teacher head0.252
Teacher spread0.158 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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