Data-Driven Estimation of Spatiotemporal Performance Maps in Cellular Networks (2021)
Abstract / truncated to 115 words
For a large class of non-delay-critical applications (e.g., buffered video streaming or data transfer from cloud services to local devices), end-to-end throughput becomes the most crucial key performance indicator (KPI). In cellular networks, the achievable end-user throughput (the maximum throughput a user will get when attempting to download as much data as possible) is a spatiotemporal function, and its estimation poses a challenging and as-yet unsolved problem. The ability to accurately predict achievable throughput in a given location and time interval would, for example, allow mobile operators to further optimize their networks and design more personalized offers for the customers, or allow end-users with mobile broadband modems to make more informed decisions when selecting a ...
KPI – dynamic time warping – gaussian process regression
Information
- Author
- Vaclav Raida
- Institution
- TU Wien
- Supervisors
- Publication Year
- 2021
- Upload Date
- Nov. 8, 2024
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