A Mean Field Game Computational Methodology for Decentralized Cellular Network Optimization
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Bibliographic record
Abstract
In cellular communication networks, quality of service (QoS) is defined as the ratio of the user's signal level to the system noise plus other agents' signal interference levels, and is commonly used to measure the performance of a mobile user over the network. In this paper, Nash equilibrium strategies, which minimize a linear combination of the system QoS and the transmitted power in code division multiple access networks, are found via an application of mean field game (MFG) control theory. Computational investigations of decentralized cellular network optimization via the application of nonlinear MFG control theory to this class of problem are presented for downlink and uplink scenarios with uniform and nonuniform agent population with respect to localized and nonlocalized interferences.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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