Resource-Efficient Synthetic Data Generation for Performance Evaluation in Mobile Edge Computing Over 5G Networks

Resource-Efficient Synthetic Data Generation for Performance Evaluation in Mobile Edge Computing Over 5G Networks

Mobile Edge Computing (MEC) in 5G networks has emerged as a promising technology to enable efficient and low-latency services for mobile users. In this paper, we present a novel synthetic data generation approach tailored for evaluating MEC in 5G networks. Our methodology incorporates resource-effic...

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Bibliographic Details
Main Authors:	Chandrasen Pandey, Vaibhav Tiwari, Rajkumar Singh Rathore, Rutvij H. Jhaveri, Diptendu Sinha Roy, Shitharth Selvarajan
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Series:	IEEE Open Journal of the Communications Society
Subjects:	Generative adversarial network 5G mobile edge computing synthetic data generation resource efficiency performance evaluation
Online Access:	https://ieeexplore.ieee.org/document/10221869/

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