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Record W2902245344 · doi:10.1109/mwp.2018.8552898

16-Wavelength DWDM A-RoF with Stimulated Brillouin Scattering Suppression, for Antenna Remoting in Wireless Front-haul

2018· article· en· W2902245344 on OpenAlexaff
Hadi Bahrami, Robert Leroux, Chunshu Zhang, Sai Mohan Kilambi, Irfan Fazal, Dominic Goodwill, David Wessel, Éric Bernier

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsHuawei Technologies (Canada)
Fundersnot available
KeywordsWavelength-division multiplexingBrillouin scatteringWirelessOpticsWavelengthPhysicsAntenna (radio)ScatteringOptoelectronicsOptical fiberTelecommunicationsComputer science

Abstract

fetched live from OpenAlex

A DWDM analog radio over fiber (ARoF) system connected a base band unit (BBU) to a radio remote unit (RRU). It is capable of carrying massive-MIMO, sub-6GHz and mmWave signals. It was tested using live mmWave traffic. Uplink and downlink each comprised 16 wavelengths, with directly-modulated lasers. Each wavelength capable of carrying a 2 GHz RF-bandwidth signal on a 1.5 GHz IF carrier, at RF ACLR of 40 dBc at 12 km fiber, including 3 dB ACLR improvement by offsetting the wavelength from the optical mux grid by 22 GHz. Using ARoF, no DSP is needed at the RRU. This reduces weight and power consumption on the tower compared to eCPRI, and allows the RF format to be modified as new standards emerge, without replacing or reprogramming the RRU.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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 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

Citations6
Published2018
Admission routes1
Has abstractyes

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