CANOPY

Cognitive and Automated Network Operations for Present and Beyond

© Project CANOPY

Project description
With increasing competition and cost pressures, communications service providers are facing major challenges in technological development. New strategies are needed to find the best compromise between Quality of Experience (QoE) for the end customer and the cost of network operations.

Currently, most mobile network operators in Network Operations Centres operate in a reactive manner, namely performing diagnostics and troubleshooting only when a fault occurs. This is inefficient and time-consuming as it requires manual analysis of a variety of information sources such as alarms, performance metrics and configuration data. Therefore, repairs take a long time and service availability decreases, resulting in customer complaints.

CANOPY will help communications service providers to implement more automated and self-managed processes, taking advantage of artificial intelligence (AI) and machine learning (ML). This will allow a greater number of requests to be handled while using fewer resources.

By using AI/ML, it is possible to make faster decisions, process network information in near real-time and automate network functions. These techniques rely on recognising known patterns based on past data to predict the future occurrence of similar network problems before they happen. This enables necessary self-healing actions to be taken before the customer is even affected. AI will help Network Operations Centres teams work more efficiently by providing additional information on anomalies, ticket resolution and early fault detection. Network Operation Centres are therefore expected to improve from reactive to proactive and predictive systems through the results of CANOPY project.

Consortium
Germany: Detecon International GmbH, Expleo Germany GmbH, Fraunhofer IIS/EAS
Portugal: Celfinet, ISEP – Instituto Superior de Engenharia do Porto, IT/IST
Turkey: KocSistem, Tarentum, Turkcell Teknoloji

Duration
August 2022 – July 2025

Budget (Germany)
Total costs: € 2.8 million
Funding volume: € 1.7 million