APSK-CSK Systems Based on Kite and Color Wheel Constructions
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
Visible light communications (VLC) technology has emerged as a solution for the radio frequency relief and can be implemented, for example, through light fidelity. In most applications, VLC relies on a backbone technology due to its short-range nature. Hence, a combination technique is required to join the backbone network and VLC, preferably in an amplify-and-forward scenario, to reduce the implementation cost. In this paper, leveraging on the robustness of amplitude phase-shift keying (APSK) against channel nonlinearities, we propose a design framework consisting of a mapping technique using APSK and color shift keying (CSK), referred to as hybrid APSK-CSK scheme, to link a backbone network to VLC. The APSK constellation, made of two rings, is based on the kite structure. The ratio of inner by outer rings radii, β, combined with four other parameters, namely, the attenuation coefficient of the backbone channel, α, the amplification coefficient of inner signal, δ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</sub> , the amplification coefficient of outer signal, δ <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">o</sub> , and the ratio of the APSK-CSK inner by outer rings, γ, are exploited to control lighting, color rendering, and the communication performance. Results reveal that the scheme performance is based on the obtained characteristic equations and provides better lighting comfort as the constellation size increases.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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