Non-Orthogonal Multiple Access Vehicular Small Cell Networks: Architecture and Solution
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
Recently, the concept of 5G vehicular smallcell networking (V-SCN) has been proposed to meet the growing demand of mobile data services in vehicular communications. However, it is a great challenge to explore spectrum and energy efficiency due to the fast vehicle mobility and varying communication environment. In this article, we focus on critical issues, such as interference management and handover, when employing 5G V-SCNs. In order to solve these issues, the network architecture embedded with NOMA is deigned. Furthermore, we propose a hierarchical power control solution to perform the joint optimization of cell association and power control to improve the spectrum and energy efficiency in NOMA-enabled 5G V-SCNs. Numerical comparison results provide some guidelines for developing NOMA-enabled 5G V-SCNs in an economical and highly energy-efficient manner.
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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