Abstract:
Group mobility in mobile networks is responsible for dynamic changes of network utilization as well as concentrated accesses to base stations that eventually lead to a de...Show MoreMetadata
Abstract:
Group mobility in mobile networks is responsible for dynamic changes of network utilization as well as concentrated accesses to base stations that eventually lead to a degradation of network quality. In particular, a fast-moving group of users intensively accessing the network, such as passengers on a train running in a densely populated area, affects the perceived network quality. Efficiently evaluating and monitoring the performance of the network for these specific users is thus crucial. In this paper, we focus on the analysis of network signaling data, which contains information related to mobility and connectivity. We propose a practical and automated group movement detection method to detect train passengers without relying on the location of users and build network utilization models for train users and non-train users. The models reveal that train users consume 3.5 times more resources than non-train users, which proves that group mobility has a significant influence on mobile networks.
Published in: 2016 IEEE Global Communications Conference (GLOBECOM)
Date of Conference: 04-08 December 2016
Date Added to IEEE Xplore: 06 February 2017
ISBN Information: