Cooperative Energy-Efficient Content Dissemination Using Coalition Formation Game Over Device-to-Device Communications
Why this work is in the frame
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Bibliographic record
Abstract
This paper investigates the problem of cooperative energy-efficient content dissemination among a number of cellular user equipments (UEs), with the assumption that these UEs are seeking to receive the same content from a common wireless access point, such as an eNodeB. We formulate the problem as a nontransferable utility coalition formation game, in which a utility function is characterized by taking into consideration energy efficiency and mutual interference in the scenario of proximity device-to-device (D2D) communications. Then, we develop a distributed coalition formation algorithm. With the proposed algorithm, UEs that are in proximity of each other can cooperate and then self-organize into independent disjoint coalitions, and finally minimize overall network energy consumption using D2D communications. The simulation results show that using the proposed algorithm, significant energy savings can be achieved compared with the cellular multicasting case and the noncooperative case, which validates the high energy efficiency of the proposed game-theory-based algorithm in wireless content dissemination scenarios.
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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 | 0.000 | 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