4 papers
Federated Meta-Learning for Traffic Steering in O-RAN
Hakan Erdol, Xiaoyang Wang, Peizheng Li +7
The vision of 5G lies in providing high data rates, low latency (for the aim of near-real-time applications), significantly increased base station capacity, and near-perfect qualit…
Bayesian Optimisation-Assisted Neural Network Training Technique for Radio Localisation
Xingchi Liu, Peizheng Li, Ziming Zhu
Radio signal-based (indoor) localisation technique is important for IoT applications such as smart factory and warehouse. Through machine learning, especially neural networks metho…
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…