Movable Access Point-Aided Integrated Visible Light Communication and Sensing Networks
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
The emergence of visible light communication (VLC) provides a promising low-cost, radiation-free, and energy-efficient solution to the limited spectrum of wireless networks. However, the design issues of line-of-sight (LOS) blockage, user mobility support, random device orientation, and the limited field-of-view of VLC access points (APs) and receivers have delayed its adoption. This letter explores the use of movable AP (MAP) technology to address these issues in a visible light based joint communication and sensing system. First, a system model for a MAP-aided integrated visible light communication and sensing (IVLCS) network is proposed. Then, a non-convex optimization problem is formulated to maximize the aggregate sum rate and sensing mutual information (MI) by jointly optimizing MAPs’ position and user association. A low-complexity algorithm that obtains a locally optimal solution is proposed by leveraging the difference of convex functions and the majorization-minimization technique. Simulation results reveal that the proposed MAP-aided IVLCS system is more robust against link blockages, provides mobility support and can significantly enhance aggregate sum rate and MI compared to a fixed AP system.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| 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