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Record W1641767697 · doi:10.1109/ccece.2004.1347651

Integrated optical/wireless networking

2004· article· en· W1641767697 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
TopicAdvanced Photonic Communication Systems
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBroadbandComputer scienceTelecommunicationsComputer networkPassive optical networkOptical wirelessBandwidth (computing)Access network10G-PONWirelessWireless broadbandBroadband networksRadio over fiberWireless networkWavelength-division multiplexing

Abstract

fetched live from OpenAlex

The explosive growth of fiber bandwidth is revolutionizing telecommunications throughout the world. The end-user bandwidth demand is also increasing concurrently. To run fiber to each end user is impossible. To cope with this situation, hybrid fiber radio (HFR) and hybrid free space optics (FSO)/RF are viable solutions to provide survivable access networks for the end-users and business access. It provides the solutions for the vital challenges under diverse atmospheric conditions by offering "all weather survivable" links, pushing the high bandwidth backbone network towards the distribution access point. This case study presents the HFR concepts and its various networking scenarios. Here we want to study the synergy effect based on the integration of broadband wireless and optical networks that will lead to a flexible access network structure, capable of offering broadband mobility functions to the telecommunication users. This time frame allows us to consider some quite promising state-of-the-art technologies and enables us to evaluate the possible implementation of the integrated optical/wireless access networks.

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 score0.881
Threshold uncertainty score0.296

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 head0.015
GPT teacher head0.228
Teacher spread0.213 · 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

Citations6
Published2004
Admission routes1
Has abstractyes

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