ETN WON team at the IEEE Summer Topicals Meeting Series

• Post by: Tatiana
• July 13, 2022
• No Comment

ETN WON team from Aston University & Aston Institute of Photonics Technologies (AIPT), Prof Wladek Forysiak and Pratim Hazarika, represented Aston at the IEEE Summer Topicals Meeting Series which were held on 11-13 July, in Cabo San Lucas, Mexico, giving presentations and chairing eight sessions on the UWB – Ultra-wideband Optical Fibre Communication Systems topic area, and also presenting a Virtual Labs Tour showcasing AIPT’s outstanding facilities in optical communications .

Topic description:

Ultra-wideband optical fibre communication systems (UWB OFCS) have emerged in recent years as a burgeoning field of interest, addressing near-to-mid-term requirements in optical networking. Systems based on UWB technology are attractive because they leverage the existing, massive investment in single mode optical fibre plant worldwide, by making use of the whole low-loss transmission window (~1250-1650nm), a potentially cost-effective and green solution to increasing network capacity.  This topic area seeks to bring together researchers from around the world with interests in UWB OFCS, and related subjects, to explore recent progress in UWB component technologies, sub-systems, architectures, and systems.  We aim to stimulate an open discussion on the latest advances, opportunities, and challenges faced by scientists and engineers working in these areas, and to foster a forum for the generation of new ideas, directions, and collaborations.

The topic area seeks contributions related to ultra-wideband fibre optical fibre communication systems (UWB OFCS) and include:

• Optical fibre communication modelling and performance prediction
• Optical fibre component and sub-system technologies, and physical integration
• Optical fibre communication system demonstrations
• System design and operation
• Spectral power optimisation, bandwidth allocation and network management
• Optical power management techniques and capacity optimisation
• Application of novel techniques such as machine learning to UWB OFCS
• Cost and energy performance analyses for network applications