• UA

    • Optical and Radio Network Traffic Optimization Using AI Techniques – DIOR

    «DIOR: Deep Intelligent Optical and Radio Communication Networks»

    Funding program: HORIZON-MSCA-RISE-2020 – Research and Innovation Staff Exchange

    Contract: №#101008280.

    Project duration: Dec 2021 – May 2027.

    Project consortium:

    TAMPERE UNIVERSITY, FI (https://www.tuni.fi/fi) – coordinator

    THE UNIVERSITY OF WARWICK, UK (https://warwick.ac.uk/)

    SKEIN LTD, UA (https://skein.co/)

    INSTITUTO DE TELECOMUNICACOES – IT, PT (https://www.it.pt/)

    TURING INTELLIGENCE TECHNOLOGY LIMITED, UK (https://turintech.ai/)

    KHARKIV NATIONAL UNIVERSITY OF RADIO ELECTRONICS, UA (https://nure.ua/)

    Project objectives: 

    • Processing the signal and network traffic optimization from analytical approaches to data-driven inferring, especially neural network (NN) based approaches.
    • Developing the convolutional and recurrent NN models in optical fiber and radio communication networks to mitigate stochastic distortions, to optimise network lightpath and to facilitate network load allocation. Exploiting heterogeneous data analysis to build models for optical fibre and radio access channels and to estimate traffic load to optimise both the deployment and operations of optical and radio networks.
    • Designing Machine Learning (ML) algorithms and Artificial Neural Networks (ANN) that facilitate future high-capacity optical and radio communications to enable a new age of intelligent communication networks beyond 5G.

    DIOR Project on the EU CORDIS research results platform: https://cordis.europa.eu/project/id/101008280

    The project will continue until May 2027 and will further enhance contributions to high-quality, reliable, resilient, and sustainable infrastructure, particularly through a partnership with the British IT company TurinTech, which activates scientific research, strengthens technological capacity, and supports the achievement of SDG 9 (Building resilient infrastructure, promoting inclusive and sustainable industrialization, and fostering innovation). Additionally, the project outcomes contribute to the innovation and research-based education, aligning with the goals of SDG 4 (Quality Education).