A hybrid approach to QoS measurements in cellular networks

Boz, Eren; Manner, Jukka

doi:10.1016/j.comnet.2020.107158

Cited by 4 publications

(3 citation statements)

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“…In this paper, we describe the parts of the measurement platform relevant to our study. The detailed description of the Netradar measurement platform and its validation are available [29].…”

Section: Measurement Platformmentioning

confidence: 99%

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Clustering and predicting the data usage patterns of geographically diverse mobile users

et al. 2021

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Section: Measurement Platformmentioning

confidence: 99%

“…It reflects the maximum data rate offered by the network to the user. It is inferred based on the queuing delay of packets, the available bandwidth and the latency information [29].…”

Section: Measurement Platformmentioning

confidence: 99%

Clustering and predicting the data usage patterns of geographically diverse mobile users

et al. 2021

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“…PGM and PRM utilize packet pair [32] probes to estimate the available bandwidth. For a detailed description of the measurement platform and its validation, we refer the reader to [33]. Going forward, we present a brief description of the measurement platform and the dataset relevant to this study.…”

Section: Methodology a Measurement Platformmentioning

confidence: 99%

Understanding Data Usage Patterns of Geographically Diverse Mobile Users

Walelgne

Asrese

Manner

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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The increasing trend of the traffic demand from mobile users and the presence of limited resources creates a challenge for network resource management. Understanding the data usage pattern and traffic demand of mobile users is a way forward to enable data-driven network resource management. However, due to the complex nature of mobile networks, understanding and characterizing data usage pattern of mobile users is a daunting task. In this work, we investigate and characterize data usage patterns and behavior of users in mobile networks. We leverage a dataset (∼340M records) collected through a crowd-based mobile network measurement platform -Netradar -across six countries. We elucidate different network factors and study how they affect the data usage patterns by taking mobile users in Finland as a use case. We perform a comparison on data usage patterns of mobile users across six countries by considering total data consumption, network access, the number of sessions created per user, throughput, and user satisfaction level on services. We show that data usage behavior of users over a mobile network is primarily driven by user mobility, the type of data subscription plan marketed by Mobile Network Operators (MNOs), network congestion, and network coverage. Besides, the data usage patterns over different network technologies (e.g., preferring cellular over WiFi) and the percentage of users accessing congested networks vary by country; mostly due to the market pricing strategy and radio coverage. However, the overall data consumption (cellular and WiFi) is comparatively similar in most of the countries we studied.

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On Improving Quality of Experience of 4G Mobile Networks – A Slack Based Approach

Soundarabai

Raj

2021

Communications in Computer and Information Science

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A hybrid approach to QoS measurements in cellular networks

Cited by 4 publications

References 20 publications

Clustering and predicting the data usage patterns of geographically diverse mobile users

Clustering and predicting the data usage patterns of geographically diverse mobile users

Understanding Data Usage Patterns of Geographically Diverse Mobile Users

On Improving Quality of Experience of 4G Mobile Networks – A Slack Based Approach

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