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Record W2021606815 · doi:10.1109/icuwb.2014.6958951

60 GHz wireless data center channel measurements: Initial results

2014· article· en· W2021606815 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMillimeter-Wave Propagation and Modeling
Canadian institutionsUniversité du Québec en Abitibi-TémiscamingueUniversité du Québec en Outaouais
Fundersnot available
KeywordsAisleChannel (broadcasting)Radio channelComputer scienceDelay spreadPath lossReal-time computingWirelessData setAlgorithmRay tracing (physics)Computer networkEngineeringMultipath propagationTelecommunicationsPhysicsOptics

Abstract

fetched live from OpenAlex

This paper reports initial results of wireless data center (WDC) 60 GHz radio channel measurements in a real data center. A channel sounder based on a vector network analyzer is used to measure the channel transfer function. In addition, ray-tracing simulations are conducted to verify the measurements accuracy. Data post processing procedure is presented to derive the power delay profiles (PDP). PDPs are processed using a peak detection algorithm for quick clusters enumeration. Two measurement sets are considered, namely neighbor racks scenario set and cross aisle scenario set. It is found that ray-tracing simulations results show a reasonable agreement for both sets. Cluster number and path loss results exhibit a slight difference for the two sets. Moreover, path loss results of neighbor racks scenarios show a 3 dB better link budget compared to cross aisle scenarios.

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.

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 score0.971
Threshold uncertainty score0.429

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 head0.135
GPT teacher head0.283
Teacher spread0.148 · 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

Quick stats

Citations13
Published2014
Admission routes1
Has abstractyes

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