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Demo: A Digital Twin of the 5G Radio Access Network for Anomaly Detection Functionality
Recently, the concept of digital twins (DTs) has received significant attention within the realm of 5G/6G.
Detecting and Controlling Smart Lights with LiTalk
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 physical locations.
Deep Transfer Learning for WiFi Localization
Finally, an ablation study of the training dataset shows that, in both office and sport hall scenarios, after reusing the feature extraction layers of the base model, only 55% of the training data is required to obtain the models' accuracy similar to the base models.
Wireless Localisation in WiFi using Novel Deep Architectures
Meanwhile, using a well-organised architecture, the neural network models can be trained directly with raw data from the CSI and localisation features can be automatically extracted to achieve accurate position estimates.
Standing on the Shoulders of Giants: AI-driven Calibration of Localisation Technologies
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 people.
