all AI news
LightningNet: Distributed Graph-based Cellular Network Performance Forecasting for the Edge
March 28, 2024, 4:42 a.m. | Konstantinos Zacharopoulos, Georgios Koutroumpas, Ioannis Arapakis, Konstantinos Georgopoulos, Javad Khangosstar, Sotiris Ioannidis
cs.LG updates on arXiv.org arxiv.org
Abstract: The cellular network plays a pivotal role in providing Internet access, since it is the only global-scale infrastructure with ubiquitous mobility support. To manage and maintain large-scale networks, mobile network operators require timely information, or even accurate performance forecasts. In this paper, we propose LightningNet, a lightweight and distributed graph-based framework for forecasting cellular network performance, which can capture spatio-temporal dependencies that arise in the network traffic. LightningNet achieves a steady performance increase over state-of-the-art …
abstract arxiv cellular cs.lg cs.ni distributed edge forecasting global graph graph-based information infrastructure internet internet access mobile mobility network networks operators paper performance pivotal role scale support the edge type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Data Scientist, gTech Ads
@ Google | Mexico City, CDMX, Mexico
Lead, Data Analytics Operations
@ Zocdoc | Pune, Maharashtra, India