Our research on the radio aspect focuses on machine learning, optimization, and neural network applications in radio signals processing and network traffic modeling. On the radio channel side, we explored machine learning based channel classification in 5G, studied indoor signal propagation characterization by using vector antennas, and developed a generative model based channel power estimation for THz V2I networks. On the radio signal and network side, we examined spatial-spectral THz networks with leaky-wave antennas and designed neural network-based digital pre-distortion for power amplifiers. Additionally, we implemented the autoencoder-based model to exploit the nonlinearity of the radio signal for radio transmitter identification and network security enhancement.
For the optic and network research, we have conducted research on AI methods for optical channel modeling, signal Processing, and optic network optimization. The results include: 1). AI-based optical channel models to incorporate power-dependent impairments; 2). DNNs to compensate for nonlinear optical impairments, including fiber nonlinearities, transceiver noise, and laser phase noise; 3). mutual information estimation methods to optimize optical network capacity; 4). Bayesian-trained deep learning models for optical network topology optimization; 5). On-demand wavelength adaptation strategies for elastic optical networks (EONs) to optimize resource allocation.
For the hybrid optical-radio Networks, we designed AI-driven strategies for joint optical-radio network optimization, integrating load-aware data analysis, and developed probabilistic ML-based optimization models for network topology adaptation.
We have developed productive international collaborations involves the active research organizations from EU, UK, Japan, Taiwan, China and Australia. The research results and knowledge are disseminated via activities such as the DIOR Communication Networks Summit (London, Hybrid, 2023) and Warwick Secure and Intelligent Communications Workshop (Warwick, 2023), invited talks at IEEE ICAIT, IEEE Summer Topicals, and IEEE International Conference on Photonics.