A Distributed Approach to Improving EPC Controller Performance
Bibliographic record
Abstract
A software-defined network paradigm has been recently proposed as a solution to tackle several issues in legacy networking, specifically, in cellular networks. In cellular networks such as LTE, SDN has been incorporated into different parts, especially into the Evolved Packet Core (EPC). The current SDN-based centralized EPC controller architecture for the cellular network displays weaknesses on handover efficiency and scalability. In this paper, we present a distributed approach for implementing EPC controller architecture that utilizes functional entities to handle handover procedures asynchronously in order to improve system efficiency and scalability. Moreover, we carried out a comparative analysis of current centralized EPC controller architecture and our proposed distributed EPC controller architecture. The simulation results quantify the advantages of the distributed EPC controller architecture over centralized EPC controller architecture in terms of handover latency and average throughput per user. We demonstrate that the proposed architecture offers better performance on handover and data transmission in general.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".