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Record W2100166219 · doi:10.1109/icnf.2011.5994356

Measurement of optical impairments in OFDM based radio-over-fiber communication systems

2011· article· en· W2100166219 on OpenAlexaff
Muhammad Imran Khan, Kaamran Raahemifar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRadio over fiberMulti-mode optical fiberOrthogonal frequency-division multiplexingDetectorElectronic engineeringOptical fiberOptical linkComputer scienceTransmission (telecommunications)Signal-to-noise ratio (imaging)OpticsTelecommunicationsPhysicsEngineeringChannel (broadcasting)

Abstract

fetched live from OpenAlex

Radio-over-Fiber (RoF) technology allows radio frequency transmission directly over the fiber. Optical link employs laser, optical fiber and optical detector to transmit RF signal. RoF has an ability to carry signals for tens of kilometers, but this transmission is limited by optical impairments such as laser nonlinearity, fiber dispersion, and optical detector noises. In this paper, we study the effects of multimode fiber core refractive index profile, optical detector noises and atmospheric instability on the achievable performance of an OFDM based RoF link. The optical-signal-to-noise ratio (OSNR) and cumulative signal-to-noise ratio (SNRc) are used to evaluate the feasibility of the proposed scheme for a low-cost, reliable, robust, and high data rate fiber-wireless link. Thereafter, numerical results are generated for the downlink to illustrate the performance of the OFDM based RoF system.

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 score0.559
Threshold uncertainty score0.421

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 science0.0010.000
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 head0.037
GPT teacher head0.225
Teacher spread0.187 · 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

Citations3
Published2011
Admission routes1
Has abstractyes

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