Differential Receiver as a Denoising Scheme to Improve the Performance of V2V-VLC Systems
Why this work is in the frame
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Bibliographic record
Abstract
Visible light communications (VLC) system is an emergent technology to enhance the security of road transportation by enabling wireless communications between vehicles and with the traffic infrastructures. Ambient light noise, due to the sunlight irradiance and other surrounding light sources, is a major concern that degrades the performance of the VLC system in outdoor application in terms of signal to noise ratio (SNR) and bit error rate (BER). In this paper, the effect of sunlight irradiance and other external sources are investigated for vehicle to vehicle (V2V) communication system in visible light environment with regard to SNR, BER and data rate. A differential receiver scheme is proposed as a solution to mitigate the effect of the sunlight noise. We investigate the system performance for three scenarios: without optical filter, with optical filter, and with proposed differential receiver. Simulation results show that differential receiver can predict about 50% of sunlight irradiance and can improve the BER from 5x10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-4 </sup> <;span -4="">up to 5x10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-8</sup> <;sup -5="" style="vertical-align: super;">
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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 it