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Record W3036626785 · doi:10.1109/lcomm.2020.3002859

A Novel Distributed Algorithm for Phase Synchronization in Unmanned Aerial Vehicles

2020· article· en· W3036626785 on OpenAlexaff
Ali Pourranjbar, Mohammadamin Baniasadi, Aliazam Abbasfar, Georges Kaddoum

Bibliographic record

VenueIEEE Communications Letters · 2020
Typearticle
Languageen
FieldEngineering
TopicUAV Applications and Optimization
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsRSSDroneComputer scienceAlgorithmSynchronizingConvergence (economics)Synchronization (alternating current)Base stationReal-time computingControl theory (sociology)TelecommunicationsArtificial intelligenceChannel (broadcasting)

Abstract

fetched live from OpenAlex

In this letter, the problem of phase synchronization for a group of drones acting as relays to build a connection between a base station (BS) and a ground receiver (GR) is investigated. The received signal strength (RSS) of the GR significantly degrades due to phase-mismatch caused by mobility of the drones. To tackle this challenge, a distributed synchronization algorithm that utilizes a few feedbacks is proposed and its convergence is proved for a specified bound on the frequency deviation. To evaluate the performance of the proposed method, the received signal strength (RSS) of the GR is presented assuming different deviation frequencies and number of drones. Provided simulation results demonstrate that our proposed method is capable of synchronizing the drones' phases for all the considered deviation frequencies and number of drones. Moreover, the proposed method outperforms the existing cumulative positive one-bit feedback based approaches in terms of convergence speed and RSS, which renders the proposed algorithm viable for practical deployment.

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: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.797
Threshold uncertainty score0.539

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 head0.027
GPT teacher head0.261
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

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

Citations9
Published2020
Admission routes1
Has abstractyes

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