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Record W4401916429 · doi:10.18280/mmep.110809

A Systematic Review of Relay-Aided Dual-Hop FSO Device-to-Device Communication Systems Using STLC and STBC Techniques

2024· review· en· W4401916429 on OpenAlexvenueno aff
Mahdi Abed Atiyah, Lwaa Faisal Abdulameer

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2024
Typereview
Languageen
FieldEngineering
TopicOptical Wireless Communication Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsRelayDual (grammatical number)Computer scienceMaterials scienceComputer networkOptoelectronicsPhysicsArt

Abstract

fetched live from OpenAlex

This study explores the use of optical relay devices to provide dual-hop communication between two devices using an FSO link without a base station.The central theme of this essay revolves around enhancing the reliability and spectral efficiency of device-todevice (D2D) communication.The primary goal is to establish robust and high-speed connections while minimizing the processing burden on the relay device (RD).The challenge lies in securing a stable connection over extended distances in D2D communication, safeguarding against signal degradation and link disruptions.The study emphasizes the importance of signal processing where RD does not need to estimate channel state information, whether at RD's receiving or sending sides.To realize this objective, the study suggests employing Space-Time Line Code (STLC) for encoding between the first device and the RD and Space-Time Block Code (STBC) for encoding between the RD and the second device.This strategic combination aims to optimize processing within the RD, thus enhancing overall communication performance.Furthermore, the investigation explores the potential implementation of orthogonal and quasi-orthogonal STLC-STBC techniques to mitigate delays and improve power efficiency.This systematic review uncovers several promising avenues for researchers to bridge existing gaps in wireless communication technologies by addressing the challenges related to relay-assisted D2D communication and refining encoding strategies.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.064
GPT teacher head0.298
Teacher spread0.234 · 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 designSystematic review
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

Citations0
Published2024
Admission routes1
Has abstractyes

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