Femto-Cloud Formation: A Coalitional Game-Theoretic Approach
Why this work is in the frame
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Bibliographic record
Abstract
This paper studies formation of local femto-clouds in a UMTS LTE network via a cooperative game-theoretic formulation. Femtocell access points (FAPs) equipped with processing power form collaborative coalitions, namely, femto-clouds, with neighboring FAPs and share their computational resources in exchange for monetary incentives. Femto-clouds are formed with the aim to avoid the remote cloud costs while improving the quality of experience (QoE) of users in terms of handling latency. The core of the formulated game represents an optimal structure for femto-clouds such that the computational resources of FAPs are maximally exploited, yet the incentive earned by each femto- cloud is divided among the FAPs in a fair fashion. Numerical simulations using NS3 verify superior QoE of users and higher incentives to FAP owners as compared with alternative schemes.
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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 | 0.001 |
| 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