129 citations · 309 across the 18 of their papers we have counts for
5 papers · 1 filter
Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks
Chaoyun Zhang, Paul Patras
Forecasting with high accuracy the volume of data traffic that mobile users will consume is becoming increasingly important for precision traffic engineering, demand-aware network…
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
Chaoyun Zhang, Xi Ouyang, Paul Patras
Large-scale mobile traffic analytics is becoming essential to digital infrastructure provisioning, public transportation, events planning, and other domains. Monitoring city-wide m…
Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls
Rui Li, Paul Patras
5G mobile networks are expected to provide pervasive high speed wireless connectivity, to support increasingly resource intensive user applications. Network hyper-densification the…
Breaking Fitness Records without Moving: Reverse Engineering and Spoofing Fitbit
Hossein Fereidooni, Jiska Classen, Tom Spink +5
Tens of millions of wearable fitness trackers are shipped yearly to consumers who routinely collect information about their exercising patterns. Smartphones push this health-relate…
Maximising the Utility of Enterprise Millimetre-Wave Networks
Nicolo Facchi, Francesco Gringoli, Paul Patras
Millimetre-wave (mmWave) technology is a promising candidate for meeting the intensifying demand for ultra fast wireless connectivity, especially in high-end enterprise networks. V…