DIOR: Deep Intelligent Optical and Radio Communication Networks

Funding Body: EU Horizon 2020 Research, innovation and science expert group (RISE) Project (2021-2025)

PI: Dr. Tianhua Xu

Collaborating with partners in Tampere (Finland), TurinTech (UK), Skein and NURE (Ukraine) and Instituto de Telecomunicações (Portugal), with a total budget of €1.932M.

The demands of high-speed, reliable and secure emerging internet, data centre, cloud computing, 5G and beyond systems have increased during the COVID-19 pandemic and require solutions for telecommunication networks with increased information capacity, intelligence and security. Artificial intelligence (AI) technologies have emerged as a promising solution for optical/wireless/hybrid networks. The EU-funded DIOR project will exploit a variety of the machine learning methods for efficient signal processing and resource allocation in optical/wireless/hybrid networks. The project will reduce signal distortions, predict network conditions and maximise network capacity. DIOR aims to integrate optical/radio network research and AI technologies and perform world-leading research on building a machine learning-underpinned communication platform to increase secure, intelligent and high-capacity communication networks.

 

UPGRADE: Multiscale IoT Equipped Long Linear Infrastructure Resilience Built and Sustainable Development (WP3)

Funding body:Horizon Europe Project (2024-2028)

Co-PI: Dr. Tianhua Xu

Optical sensing systems are highly sensitive to external perturbations leading to significantly different scattering effects within the cable. This work package will improve the field monitoring for infrastructures through the development of advanced discrete and distributed optical fibre sensing systems. The installation and the accuracy of fibre Bragg gratings (FBG) and long-period grating (LPG) sensors have to be calibrated and optimised to achieve the required spatial and temporal resolutions for infrastructures. Based on this, discrete sensing systems will be designed and optimally configured involving the FBGs and LPGs with the modelling and experimental tests to measure strain changes along civil infrastructures caused by external loads. In the distributed sensing systems, the changes in the structure of the LLIs will be estimated by measuring the backscattered light from the fibre using optical time-domain reflectometry and detecting Rayleigh, Brillouin, and Raman scattering effects. The design of the interrogator will also be investigated to secure the accuracy, sensitivity, and reliability of the fibre sensing system, in order to increase the capability of generating stable and precise optical signals, detecting and amplifying weak backscattered light signals, filtering out noise and interference, and operating in a wide range of temperatures and environmental conditions.

Selected publications

[1] Performance of Kramers–Kronig and coherent receivers in Medium-Reach optical communication, J Zhao, J Yang, Y Yang, T Gao, Y Wang, T Xu, Optical Fiber Technology 80, 103454 2023
[2] Physics-Informed Neural Network for Fibre Channel Modelling in Optical Communication Systems J Uduagbomen, S Lakshminarayana, Z Liu, MS Leeson, T Xu IEEE International Conference on Transparent Optical Networks (ICTON), Invited 2023
[3] Highly sensitive and label-free detection of biotin using a liquid crystal-based optofluidic biosensor H Wang, T Xu, Z Wang, Y Liu, H Chen, J Jiang, T Liu [Optica] Biomedical Optics Express 14 (7), 3763-3774 2023
[4] Achievable information rate optimization in C-band optical fiber communication system Z Liu, T Xu, J Qi, J Uduagbomen, J Zhao, T Liu [Springer] Frontiers of Optoelectronics 16 (1), 17 1 2023
[5] Flexible All-Optical 8QAM Signal Format Conversion Using Pump Assisted Nonlinear Optical Loop Mirror Q Li, X Yang, H Wen, Q Xu, J Yang, Y Li, H Yang, MS Leeson, T Xu [IEEE/Optica] Journal of Lightwave Technology 1 2023
[6] Liquid-core-microtubule-enhanced Laser sensor for high resolution temperature measurement, Y Liu, J Jiang, K Liu, S Wang, P Niu, D Jiao, T Xu, X Zhang, T Liu, IEEE Sensors Journal 2023
[7] Autonomous Microlasers for Profiling Extracellular Vesicles from Cancer Spheroids Z Wang, G Fang, Z Gao, Y Liao, C Gong, M Kim, GE Chang, S Feng, T Xu, [ACS] Nano Letters