An ICI-Aware Scheduler for NB-IoT Devices in Co-existence with 5G NR
Why this work is in the frame
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Bibliographic record
Abstract
5G New Radio (NR) and Narrowband Internet-of-Things (NB-IoT) co-existence is a promising technique to improve scalability and flexibility of future cellular networks. In this paper, we study the performance of an ICI-limited 5G NR based multi-cell network with a number of NB-IoT devices sharing a dedicated in-band resource block (RB). We propose a unified scheduler for maximizing instantaneous throughput and fairness over each RB. Numerical simulations with realistic inter-cell-interference (ICI) parameters have been used to evaluate the performance of the proposed RB allocation scheme for both NB-IoT devices and 5G NR UEs in an urban scenario. Our simulation results provide useful insights for designing a unified ICI-aware scheduler for 5G NR systems that can work in co-existence with various type of IoT devices.
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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