International audienceNew generations of cellular networks are data oriented, targeting the integration of machine learning (ML) and artificial intelligence solutions. Data availability, required to train and compare ML-based networking solutions, is therefore becoming an important topic and a significant concern. Operators do collect data, but they rarely share it because of privacy concerns. This paper starts by reviewing the few publicly available cellular datasets, which created bursts of innovation with their release. The scarcity of such data is so acute that researchers are collecting network data using their own tools, developed in-house and covered by the second part of this survey
In this paper, we study the features of big data and data analytics. We see how Big Data contributes...
The unprecedented growth in mobile data usage is posing significant challenges to cellular operators...
We have witnessed an exponential growth in commercial data services, which has lead to the ’big data...
When coupled with spatio-temporal context, location-based data collected in mobile cellular networks...
When coupled with spatio-temporal context, location-based data collected in mobile cellular network...
Cell phones are ubiquitous in modern life and the call records collected by network operators are a ...
The fifth generation of cellular networks (5G) will rely on edge cloud deployments to satisfy the ul...
The unprecedented growth in mobile data usage is posing significant challenges to cellular operators...
In mobile networks, detecting and eliminating areas with poor performance is key to optimize end-us...
We focus on today’s LTE systems and use realworld, crowdsourced traces to understand (i) how present...
In this paper, we will review several alternative methods of collecting data from mobile phones for ...
Machine learning algorithms have started having an unprecedented impact on human society due to thei...
Mobile big data contains vast statistical features in various dimensions, including spatial, tempora...
The unprecedented growth in mobile data usage is posing significant challenges to cellular operators...
Abstract. With the significant increase in cellular data usage, it is critical to bet-ter understand...
In this paper, we study the features of big data and data analytics. We see how Big Data contributes...
The unprecedented growth in mobile data usage is posing significant challenges to cellular operators...
We have witnessed an exponential growth in commercial data services, which has lead to the ’big data...
When coupled with spatio-temporal context, location-based data collected in mobile cellular networks...
When coupled with spatio-temporal context, location-based data collected in mobile cellular network...
Cell phones are ubiquitous in modern life and the call records collected by network operators are a ...
The fifth generation of cellular networks (5G) will rely on edge cloud deployments to satisfy the ul...
The unprecedented growth in mobile data usage is posing significant challenges to cellular operators...
In mobile networks, detecting and eliminating areas with poor performance is key to optimize end-us...
We focus on today’s LTE systems and use realworld, crowdsourced traces to understand (i) how present...
In this paper, we will review several alternative methods of collecting data from mobile phones for ...
Machine learning algorithms have started having an unprecedented impact on human society due to thei...
Mobile big data contains vast statistical features in various dimensions, including spatial, tempora...
The unprecedented growth in mobile data usage is posing significant challenges to cellular operators...
Abstract. With the significant increase in cellular data usage, it is critical to bet-ter understand...
In this paper, we study the features of big data and data analytics. We see how Big Data contributes...
The unprecedented growth in mobile data usage is posing significant challenges to cellular operators...
We have witnessed an exponential growth in commercial data services, which has lead to the ’big data...