An energy-efficient adaptive frameless ALOHA protocol
Why this work is in the frame
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Bibliographic record
Abstract
Random access protocols are a key feature of a family of emerging communication networks such as machine-to-machine, radio frequency identification (RFID), and sensor networks. To accommodate the needs of such networks with a massive number of uncoordinated devices, new random multiple access (MAC) protocols have been proposed that aim to improve the system efficiency by resolving collisions in the received signal. In this work, we consider one of such protocols, called frameless ALOHA, and propose two techniques to improve its energy efficiency without sacrificing the network throughput. More specifically, we propose mechanisms to adaptively control the access probability at the users. The proposed mechanisms are local and like the original frameless ALOHA, no coordination between the users is needed. Our simulation results verify the improvement achieved in the energy efficiency by the proposed techniques.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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