Project description
Artifical intelligence for high-capacity communication networks
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.
Objective
Communication networks play a vital role in the technological infrastructure underpinning Internet traffic applications. Service providers and researchers worldwide are sparing no effort to increase the information capacity and security of telecommunication networks to support the demands of high-speed, reliable and secure emerging internet, data centre, cloud computing, 5G new radio and IoT systems, especially since the outbreak of Coronavirus. Applications such as intelligent transportation, signal processing ubiquitous low-latency connectivity and massive connected objects, have raised challenges for backbone and access networks that are often underpinned by optical, radio or hybrid networks. Artificial intelligent (AI) technologies appear an innovative and promising solution to cope with emerging challenges in optical/wireless/hybrid networks, in which the underlying physics, mathematics and optimisation of problems are non-deterministic to analyse or impossible to describe explicitly. In this proposed research, supervised, unsupervised and reinforcement learning techniques such as neural networks, clustering and regression will be exploited in optical/wireless/hybrid networks to mitigate stochastic distortions, to predict network conditions and to maximise network capacity. This DIOR proposal aims to unite optical/radio network research and AI technologies for tackling emerging challenges. This project aims to carry out world-leading research on building a machine learning-based communication platform to accelerate secure, intelligent and high-capacity communication networks.
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
- natural sciencesmathematics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technology
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
Keywords
Programme(s)
Coordinator
33100 Tampere
Finland