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Mar, 2023
基于对比学习的边缘计算网络中流行度预测的生存分析
CLSA: Contrastive Learning-based Survival Analysis for Popularity Prediction in MEC Networks
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Zohreh Hajiakhondi-Meybodi, Arash Mohammadi, Jamshid Abouei, Konstantinos N. Plataniotis
TL;DR
提出一种基于对比学习的生存分析(CLSA)框架,结合移动边缘缓存(MEC)和深度神经网络(DNNs),用于预测MEC节点存储的最受欢迎的内容,相较于现有的时序DNN模型在网络输入规模方面具有更好的性能
Abstract
mobile edge caching
(MEC) integrated with
deep neural networks
(DNNs) is an innovative technology with significant potential for the future generation of wireless networks, resulting in a considerable reduction i
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