6 citations · 11 across the 10 of their papers we have counts for
4 papers · 1 filter
Sim2real for Reinforcement Learning Driven Next Generation Networks
Peizheng Li, Jonathan Thomas, Xiaoyang Wang +8
The next generation of networks will actively embrace artificial intelligence (AI) and machine learning (ML) technologies for automation networks and optimal network operation stra…
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…