.png){kind=icon}
返回
Mobile Demand Profiling for Cellular Cognitive Networking
.png){kind=icon}
OA
AI
DOI：10.1109/TMC.2016.2563429.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In the next few years, mobile networks will undergo significant evolutions in order to accommodate the ever-growing load generated by increasingly pervasive smartphones and connected objects. Among those evolutions, cognitive networking upholds a more dynamic management of network resources that adapts to the significant spatiotemporal fluctuations of the mobile demand. Cognitive networking techniques root in the capability of mining large amounts of mobile traffic data collected in the network, so as to understand the current resource utilization in an automated manner. In this paper, we take a first step towards cellular cognitive networks by proposing a framework that analyzes mobile operator data, builds profiles of the typical demand, and identifies unusual situations in network-wide usages. We evaluate our framework on two real-world mobile traffic datasets, and show how it extracts from these a limited number of meaningful mobile demand profiles. In addition, the proposed framework singles out a large number of outlying behaviors in both case studies, which are mapped to social events or technical issues in the network.
Keyword:
Cellular networks
cognitive networking
network demand profiling
outliers detection
mobile data analysis
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:
9.2
论文数:
5.9K
被引数:
1.8W
机构
引用论文
Security Performance Analysis of Relay Networks Based on
κ
-
μ
Shadowed Channels with RHIs and CEEs
OAAI
OAAI分享收藏Crystal structures of two Pt(II) diamine compounds: trans-Pt(CH3NH2)2Cl2 and cis-Pt[(CH3)2NH]2Cl2
PREAI
分享收藏分享收藏Towards The Internet of Smart Clothing: A Review on IoT Wearables and Garments for Creating Intelligent Connected E-Textiles走向智能服装的互联网: 物联网可穿戴设备和服装创造智能互联电子纺织品的回顾.png)
ElectronicsOAAI
ElectronicsIF0
OAAI分享收藏
查看更多内容