Resource allocation for relay-aided OFDMA networks with constraints on queue stability
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Bibliographic record
Abstract
In this paper we consider subcarrier allocation to relay-assisted users in an OFDMA wireless network. The two-hop downlink transmission is modeled as a network of queues in series. We have studied the queue length evolution at each hop and propose a rate control mechanism to stabilize the considered queues. To the best of our knowledge this is the first work that stabilizes the system without sending queue length information that causes extra transmission overhead. The suggested allocation problem aims to maximize the system throughput with respect to the channel condition and the stability requirements. In order to solve the resulting combinatorial problem we apply a time-shared approach and then convert the outcome to binary allocations which is called anti-relaxation mechanism. Since the optimization problem requires exponential computation time, we have proposed a less complex heuristic approach. The extensive numerical trials confirm that the stability control mechanism balances the data arrival and departure rates which is the required condition for queue stability. When time-sharing is not permitted, the heuristic algorithm can guarantee the queue length stability in significantly smaller execution time comparing to the anti-relaxation method.
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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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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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