In December 2019, the European Commission presented the European Green Deal with the ambition of making Europe the first climate-neutral continent by 2050, boosting the economy, improving people's health and quality of life, caring for nature, and leaving no one behind.

Digitalisation will be at the core of this ambitious program and fibre is key to align the digital and sustainability agendas. As the most sustainable telecommunication infrastructure technology, full-fibre is a prerequisite to achieving the European Green Deal and making the European Union’s economy more sustainable.

The need to work collectively towards a more sustainable society has become a strategic objective of policy makers and the vast majority of private organisations alike. With this context in mind, the sustainability Working Group of the FTTH Council Europe has been created with two key objectives:

  • Promote full fibre as the most sustainable access network technology and enabler of multiple applications which can contribute to reducing the carbon footprint of our activities. Remote working and learning being the most obvious examples.
  • Support all stakeholders of the Fibre to the Home value chain in their efforts to make their respective activities more carbon neutral.

Insights from the Committee

 

 

Signal Quality and Performance Monitoring in FTTH Networks

This presentation explored the key technical challenges in GPON (Gigabit Passive Optical Network) deployments and their corresponding solutions. These challenges were grouped into three areas: Signal Quality and Performance, Network Security and Reliability, and Scalability and Compatibility.

Ensuring strong signal quality involved managing the optical power budget, balancing splitting ratios, and minimizing latency and jitter. Scalability and compatibility were essential for addressing growing bandwidth demands, maintaining consistent Quality of Service (QoS), and ensuring seamless interoperability between equipment from different vendors.

The focus of this presentation was the calculation of health indexes for network elements in GPON networks. These indexes enabled the detection of signal distortions, thereby maintaining stable and reliable QoS/QoE. The presented health indexes were part of Axiros' monitoring and management solutions, which were based on well-defined standards and protocols.

Additionally, the presentation included AI predictive maintenance use cases, showcasing how artificial intelligence anticipated potential network issues, reduced downtime, and ensured optimal performance in GPON deployments.

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