6 citations · 10 across the 6 of their papers we have counts for
6 papers
Demo: Integration of Marketplace for the 5G Open RAN Ecosystem
Tim Farnham, Sajida Gufran, Peizheng Li +1
The Open RAN API and interface standards facilitate the new ecosystems where distinct hardware and software components are brought together to build 5G systems. Key to this concept…
Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality
Peizheng Li, Adnan Aijaz, Tim Farnham +2
Recently, the concept of digital twins (DTs) has received significant attention within the realm of 5G/6G. This demonstration shows an innovative DT design and implementation frame…
Detecting and Controlling Smart Lights with LiTalk
Jagdeep Singh, Dan Watkinson, Tim Farnham +1
The rapid increase in demand for wireless controlled Smart Lighting has created a need to automate the mapping between the identifiers for individual light sources and their physic…
Deep Transfer Learning for WiFi Localization
Peizheng Li, Han Cui, Aftab Khan +4
This paper studies a WiFi indoor localisation technique based on using a deep learning model and its transfer strategies. We take CSI packets collected via the WiFi standard channe…
Wireless Localisation in WiFi using Novel Deep Architectures
Peizheng Li, Han Cui, Aftab Khan +4
This paper studies the indoor localisation of WiFi devices based on a commodity chipset and standard channel sounding. First, we present a novel shallow neural network (SNN) in whi…
Standing on the Shoulders of Giants: AI-driven Calibration of Localisation Technologies
Aftab Khan, Tim Farnham, Roget Kou +4
High accuracy localisation technologies exist but are prohibitively expensive to deploy for large indoor spaces such as warehouses, factories, and supermarkets to track assets and…