A Novel Distributed Algorithm for Phase Synchronization in Unmanned Aerial Vehicles
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".