Towards Smart Routing: Exploiting User Context for Video Delivery in Mobile Networks

2014 ◽  
Author(s):  
Jun He ◽  
Wei Song
Keyword(s):  
Mobile Networks ◽  
Video Delivery ◽  
User Context

Distributed mobility management for efficient video delivery over all-IP mobile networks: Competing approaches

IEEE Network ◽  
2013 ◽  
Vol 27 (2) ◽  
pp. 28-33 ◽  
Author(s):  
Dong-Hoon Shin ◽  
Danny Moses ◽  
Muthaiah Venkatachalam ◽  
Saurabh Bagchi
Keyword(s):  
Mobile Networks ◽  
Mobility Management ◽  
Video Delivery ◽  
Distributed Mobility Management ◽  
Efficient Video

scholarly journals Statistical Model for Mobile User Positioning Based on Social Information

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1782
Author(s):  
Juan Luis Bejarano-Luque ◽  
Matías Toril ◽  
Mariano Fernández-Navarro ◽  
Luis Roberto Jiménez ◽  
Salvador Luna-Ramírez
Keyword(s):  
Social Networks ◽  
Population Density ◽  
Mobile Networks ◽  
Mobile User ◽  
Data Traffic ◽  
Huge Amount ◽  
User Context ◽  
Term Evolution ◽  
User Location

In spite of the vast set of measurements provided by current mobile networks, cellular operators have problems pinpointing problematic locations because the origin of such measurements (i.e., user location) is usually not registered. At the same time, social networks generate a huge amount of data that can be used to infer population density. In this work, a data-driven model is proposed to deduce the statistical distribution of connections, exploiting the knowledge of network layout and population density in the scenario. Due to the absence of GPS measurements, the proposed method combines data from radio connection traces stored in the network management system and geolocated posts from social networks. This information is enriched with user context information inferred from data traffic attributes. The method is tested with a large trace dataset from a live Long Term Evolution (LTE) network and a database of geotagged posts from social networks collected in real-time.

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