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Record W2097642145 · doi:10.1109/cnsr.2011.38

A Survey of Opportunities for Free Space Optics in Next Generation Cellular Networks

2011· article· en· W2097642145 on OpenAlexaff
Frédéric Demers, Halim Yanıkömeroğlu, Marc St‐Hilaire

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer networkComputer scienceCellular networkBase stationTelecommunicationsRadio access networkNetwork topologyBandwidth (computing)Radio resource managementTelephone networkCore networkWireless networkFree spaceWirelessInternet accessPublic switched telephone networkThe InternetMobile telephonyMobile radioMobile stationWorld Wide Web

Abstract

fetched live from OpenAlex

Cellular wireless networks have consistently relied upon Radio Frequency (RF) channels to provide connectivity between users and base stations. RF channels have also provided, in large part, connectivity within the Radio Access Network (RAN) and the Core Network (CN) for the purpose of connecting mobile users to the Public Switched Telephone Networks (PSTN) and Internet. However, other methods may be necessary in order to provide the faster data rates required by many new and emerging applications. This paper provides a comprehensive overview of the potential role for Free Space Optical (FSO) communications within next generation cellular networks. The argument is made that the increasing number of base stations, as well as the advanced topologies supported by next generation cellular networks, pave the way for a growing reliance upon FSO communications, with a view to support the high bandwidth applications offered to mobile users.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.266
GPT teacher head0.249
Teacher spread0.017 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations84
Published2011
Admission routes1
Has abstractyes

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