.png){kind=icon}
返回
Data-Augmentation-Based Cellular Traffic Prediction in Edge-Computing-Enabled Smart City
.png){kind=icon}
PRE
AI
DOI：10.1109/TII.2020.3009159.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
With the massive deployment of 5G cellular infrastructures, traffic prediction has become an indispensable part of the cellular resource management system in order to provide reliable and fast communication services that can meet the increasing quality-of-service requirements of smart city. A promising approach for handling this problem is to introduce intelligent methods to implement a highly effective and efficient cellular traffic prediction model. Meanwhile, integrating the multiaccess edge computing framework in 5G cellular networks facilitates the application of intelligent traffic prediction models by enabling their implementation at the network edge. However, the data shortage and privacy issues may still be obstacles for training a robust and accurate prediction model at the edge. To address these issues, we propose a data-augmentation-based cellular traffic prediction model (ctGAN-S2S), where an effective data augmentation submodel based on generative adversarial networks is proposed to improve the prediction performance while protecting data privacy, and a long-short-term-memory-based sequence-to-sequence submodel is used to achieve the flexible multistep cellular traffic prediction. The experimental results on a real-world city-scale cellular traffic dataset reveal that our ctGAN-S2S model achieves up to 48.49% improvement of the prediction accuracy compared to four typical reference models.
Keyword:
Predictive models
Data models
5G mobile communication
Smart cities
Cellular networks
Computational modeling
Reliability
Cellular networks
data augmentation
neural networks
smart city
time-series prediction
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.9
论文数:
8.6K
被引数:
6.0W
机构
引用论文
.png){kind=icon}
[Bis(3-methyl-2-thioxo-2,3-dihydro-1H-imidazolyl)borato-κ2
S,S′]dibromoindium(III)[双 (3-甲基-2-硫代-2，3-二氢-1H-咪唑基) 硼氧基-κ2
S,< i>S '] 二溴铟 (III)
PREAI
分享收藏Interleukin-1 Polymorphism and Expression in Hepatitis B Virus-Mediated Disease Outcome in India
PREAI
分享收藏Big Data Analysis Based Network Behavior Insight of Cellular Networks for Industry 4.0 Applications
PREAI
分享收藏分享收藏
查看更多内容