MétaCan
Menu
Back to cohort
Record W3211907939 · doi:10.32920/ryerson.14648430.v1

Optimization of optical signal-to noise ratio by α profile multimode fibre in wireless over fibre link

2021· preprint· en· W3211907939 on OpenAlexaff
Muhammad Imran Khan

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicPAPR reduction in OFDM
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTelecommunications linkOrthogonal frequency-division multiplexingElectronic engineeringRadio over fiberMultipath propagationMulti-mode optical fiberFadingComputer scienceOptical wirelessSignal-to-noise ratio (imaging)Cyclic prefixWirelessBandwidth (computing)Optical fiberEngineeringTelecommunicationsChannel (broadcasting)

Abstract

fetched live from OpenAlex

The demand of bandwidth in mobile communication is growing exponentially day-by-day, as the number of users have been increasing drastically over the span of last five years. Fibre optics has attracted much attention due to its promising performance and operational cost reduction. In this thesis, the feasibility of using multimode fibre as an inexpensive cell feed in indoor system is investigated. The proposed architecture is analyzed using signal to noise ratio versus GI multimode fibre profile parameter α, cumulative signal to noise ratio, and multipath fading in indoor environment. The objectives of this thesis are: (i)designing COFDM based radio-over-fibre communication system, (ii)analyzing the downlink and uplink performance considering impairements in the fibre and wireless channels and investigating the effect of core refractive index profile (α) on graded index RoF link, (iii)investigating the effect of COFDM cyclic prefix to the graded index multimode fibre dispersion. The performance is evaluated through theoretical analysis and simulations using Matlab. The downlink and uplink analysis are performed considering all the impairements from the air interface and the RoF link. Thereafter, numerical results are generated for the downlink and uplink to illustrate the performance of the COFDM-RoF architecture.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicPAPR reduction in OFDMFrench-language works237,207