A Reconfigurable Access Scheme for Critical mMTC Networks with Unknown Event Occurrence
Bibliographic record
Abstract
This paper presents a reconfigurable access scheme for critical massive machine-type communication (mMTC) networks with mobile devices, where in-coverage devices directly connect to the access point (AP) and out-of-coverage devices transmit to the AP by two-hop relaying. Given that devices have regular and event-based alarm traffic, we combine grantfree (GF) and grant-based transmissions to acquire unknown event information and ensure high reliability to guarantee alarm packet delay constraints. Then, the average age of information (AoI) is minimized by maximizing AoI-weighted regular packet throughput. Simulation results show that the proposed algorithm outperforms random and greedy scheduling in terms of minimizing AoI and guarantees the delay constraints in contrast to the baselines without delay consideration or only using GF transmissions to obtain event information. Also, the proposed algorithm can adaptively distribute resources to serve alarm and regular packets based on the stringency of delay constraints.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".