Analysis of user density and quality of service using crowdsourced mobile network data
This thesis analyzes the end-user quality of service (QoS) in cellular mobile networks using device-side measurements. Quality of service in a wireless network is a significant factor in determining a user's satisfaction. Customers' perception of poor QoS is one of the core sources of c...
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| Format: | Others |
| Language: | English en |
| Published: |
2021
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| Online Access: | http://hdl.handle.net/1828/13370 |
| Summary: | This thesis analyzes the end-user quality of service (QoS) in cellular mobile networks
using device-side measurements. Quality of service in a wireless network is a
significant factor in determining a user's satisfaction. Customers' perception of poor
QoS is one of the core sources of customer churn for telecommunications companies.
A core focus of this work is on assessing how user density impacts QoS within cellular
networks. Kernel density estimation is used to produce user density estimates
for high, medium, and low density areas. The QoS distributions are then compared
across these areas. The k-sample Anderson-Darling test is used to determine the
degree to which user densities vary over time. In general, it is shown that users in
higher density areas tend to experience overall lower QoS levels than those in lower
density areas, even though these higher density areas service more subscribers. The
conducted analyses highlight the value of mobile device-side QoS measurements in
augmenting traditional network-side QoS measurements. === Graduate |
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