An outdoor multi path channel model for vehicular visible light communication systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this paper, we develop a multiple input multiple output (MIMO) channel model for an outdoor optical wireless propagation scenario for car-to-car visible light communication system (C2C-VLC). In our model, two transmitters (front headlamps), reflectors and two receiving elements (back tail lamps) are considered which mainly reflect a multipath MIMO optical wireless channel. We proposed a new modular approach for modeling the communication channel. Our approach based on transferring the receiver parameters, transmitter parameters, and the outdoor environment from dependent into independent components. Thus, changing one of the parameters of the link requires recalculation of one of these components. Closed formula for the total channel impulse response and the bit error rate (BER) at the receiver were derived considering multipath. Simulation results show the dependency of the channel performance on the direct path parameters and the superiority of the 2×2 MIMO when compared with other MIMO configurations.
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.
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 | 0.001 | 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