Behind the NAT??? A measurement based evaluation of cellular service quality
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Behind the NAT??? A measurement based evaluation of cellular service quality. / Kaup, F.; Michelinakis, F.; Bui, N.; Widmer, J.; Wac, Katarzyna; Hausheer, D.
Network and Service Management (CNSM), 2015 11th International Conference on. IEEE, 2015. p. 228-236.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Behind the NAT??? A measurement based evaluation of cellular service quality
AU - Kaup, F.
AU - Michelinakis, F.
AU - Bui, N.
AU - Widmer, J.
AU - Wac, Katarzyna
AU - Hausheer, D.
N1 - Conference code: 11
PY - 2015
Y1 - 2015
N2 - Mobile applications such as VoIP, (live) gaming, or video streaming have diverse QoS requirements ranging from low delay to high throughput. The optimization of the network quality experienced by end-users requires detailed knowledge of the expected network performance. Also, the achieved service quality is affected by a number of factors, including network operator and available technologies. However, most studies focusing on measuring the cellular network do not consider the performance implications of network configuration and management. To this end, this paper reports about an extensive data set of cellular network measurements, focused on analyzing root causes of mobile network performance variability. Measurements conducted over four weeks in a 4G cellular network in Germany show that management and configuration decisions have a substantial impact on the performance. Specifically, it is observed that the association of mobile devices to a Point of Presence (PoP) within the operator's network can influence the end-to-end RTT by a large extent. Given the collected data a model predicting the PoP assignment and its resulting RTT leveraging Markov Chain and machine learning approaches is developed. RTT increases of 58% to 73% compared to the optimum performance are observed in more than 57% of the measurements.
AB - Mobile applications such as VoIP, (live) gaming, or video streaming have diverse QoS requirements ranging from low delay to high throughput. The optimization of the network quality experienced by end-users requires detailed knowledge of the expected network performance. Also, the achieved service quality is affected by a number of factors, including network operator and available technologies. However, most studies focusing on measuring the cellular network do not consider the performance implications of network configuration and management. To this end, this paper reports about an extensive data set of cellular network measurements, focused on analyzing root causes of mobile network performance variability. Measurements conducted over four weeks in a 4G cellular network in Germany show that management and configuration decisions have a substantial impact on the performance. Specifically, it is observed that the association of mobile devices to a Point of Presence (PoP) within the operator's network can influence the end-to-end RTT by a large extent. Given the collected data a model predicting the PoP assignment and its resulting RTT leveraging Markov Chain and machine learning approaches is developed. RTT increases of 58% to 73% compared to the optimum performance are observed in more than 57% of the measurements.
KW - 4G mobile communication
KW - Markov processes
KW - cellular radio
KW - learning (artificial intelligence)
KW - quality of experience
KW - quality of service
KW - telecommunication network management
KW - 4G cellular network
KW - Germany
KW - Markov Chain
KW - NAT
KW - QoS
KW - VoIP
KW - cellular service quality
KW - live gaming
KW - machine learning
KW - measurement based evaluation
KW - mobile devices
KW - network operator
KW - point of presence
KW - video streaming
KW - Delays
KW - Mobile communication
KW - Mobile computing
KW - Performance evaluation
KW - Quality of service
KW - Servers
KW - Throughput
U2 - 10.1109/CNSM.2015.7367363
DO - 10.1109/CNSM.2015.7367363
M3 - Article in proceedings
SN - 978-3-9018-8278-4
SP - 228
EP - 236
BT - Network and Service Management (CNSM), 2015 11th International Conference on
PB - IEEE
Y2 - 9 November 2015 through 13 November 2015
ER -
ID: 155830858