129 citations · 309 across the 18 of their papers we have counts for
12 papers · 1 filter
TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks
Luyang Xu, Haoyu Liu, Junping Song +4
The Covid-19 pandemic has forced the workforce to switch to working from home, which has put significant burdens on the management of broadband networks and called for intelligent…
Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System
Marco Cominelli, Paul Patras, Francesco Gringoli
The recently released Bluetooth 5.1 specification introduces fine-grained positioning capabilities in this wireless technology, which is deemed essential to context-/location-based…
DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls
Rui Li, Chaoyun Zhang, Paul Patras +2
Advances in network programmability enable operators to 'slice' the physical infrastructure into independent logical networks. By this approach, each network slice aims to accommod…
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang, Paul Patras, Hamed Haddadi
The rapid uptake of mobile devices and the rising popularity of mobile applications and services pose unprecedented demands on mobile and wireless networking infrastructure. Upcomi…
ORLA/OLAA: Orthogonal Coexistence of LAA and WiFi in Unlicensed Spectrum
Andres Garcia-Saavedra, Paul Patras, Victor Valls +2
Future mobile networks will exploit unlicensed spectrum to boost capacity and meet growing user demands cost-effectively. The 3GPP has recently defined a Licensed-Assisted Access (…
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…