Optimizing Information Freshness in RIS-Assisted Non-Orthogonal Multiple Access-Based IoT Networks
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Bibliographic record
Abstract
This letter investigates the benefits of integrating reconfigurable intelligent surface (RIS) on minimizing the average sum age of information in uplink NOMA-based IoT networks. A problem is formulated to optimize the RIS configuration, the transmit power of IoT devices (IoTDs) and their clustering policy. The formulated problem is a mixed-integer non-convex one, and in order to solve it, we obtain first the RIS configuration by resorting to difference-of-convex and successive convex approximation. Afterwards, the joint power allocation and clustering problem is solved using the concept of bi-level optimization and is decomposed into an outer IoTDs clustering problem and an inner power allocation problem. Optimal closed-form expressions are derived for the inner problem and one-to-one matching is employed to solve the outer one. Numerical results demonstrate the performance superiority of our scheme.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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