DEVS-based modeling of coordinated multipoint techniques for LTE-advanced
Why this work is in the frame
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Bibliographic record
Abstract
Considering the ever-increasing bandwidth demand of the users in cellular networks, there have been ongoing investigations of new standards to support users' requirements and increasing their performance in mobile networks. One of the more promising mobile communication standards for the Fourth Generation (4G) cellular systems is the Long Term Evolution Advanced (LTE-Advanced) standard. This technology provides an order of magnitude higher data rates and improves the users' quality of service by using a number of technologies including Coordinated Multipoint (CoMP) processing. In this paper, we have used the Discrete Event System Specification (DEVS) formalism to model a mobile network using two approaches of CoMP: namely, coordinated scheduling/beamforming and joint processing. The DEVS approach confirms that these approaches decrease the interference level resulting in cell edge users experiencing higher level of performance.
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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