A deep learning network planner: Propagation modeling using real-world measurements and a 3D city model
In urban scenarios, network planning requires awareness of the notoriously complex
propagation environment by accounting for blocking, diffraction, and reflection on buildings …
propagation environment by accounting for blocking, diffraction, and reflection on buildings …
Localizing basestations from end-user timing advance measurements
Although mobile communication has become ubiquitous in our modern society, operators
typically treat the underlying networking infrastructure in a secretive manner. However …
typically treat the underlying networking infrastructure in a secretive manner. However …
Mobile Internet Quality Estimation using Self-Tuning Kernel Regression
Modeling and estimation for spatial data are ubiquitous in real life, frequently appearing in
weather forecasting, pollution detection, and agriculture. Spatial data analysis often involves …
weather forecasting, pollution detection, and agriculture. Spatial data analysis often involves …
Unbiased benchmarking in mobile networks: The role of sampling and stratification
Cellular operators tightly monitor their networks to keep up with the market demand and
frequently benchmark their performance against competitors. Typical benchmarking tests …
frequently benchmark their performance against competitors. Typical benchmarking tests …
To Save Mobile Crowdsourcing from Cheap-talk: A Game Theoretic Learning Approach
S Hao, L Duan - IEEE Transactions on Mobile Computing, 2024 - ieeexplore.ieee.org
Today mobile crowdsourcing platforms invite users to provide anonymous reviews about
service experiences, yet many reviews are found biased to be extremely positive or …
service experiences, yet many reviews are found biased to be extremely positive or …
Bayesian inference of sector orientation in LTE networks based on end-user measurements
Access to reliable public data about the networking topology in a given area is an essential
requirement for applications such as end-user localization; likewise, the subject is a …
requirement for applications such as end-user localization; likewise, the subject is a …
Evaluation of Deep Learning U-Net Architectures for Signal-Strength Prediction in Cellular Networks
VDT Tran - 2024 - repositum.tuwien.at
Effective radio network planning requires accurate propagation models that account for
complex behaviors of electromagnetic waves, including scattering, multipath propagation …
complex behaviors of electromagnetic waves, including scattering, multipath propagation …
Countrywide Basestation Localization with Timing Advance Measurements from Crowdsourcing
Recently, there has been increased interest in using network traces from crowdsourcing for
anomaly detection or operator benchmarking. Likewise, the inference of the network …
anomaly detection or operator benchmarking. Likewise, the inference of the network …