Project description
Enabling AI models for use in zero-touch network
The increasing proliferation and widespread use of IoT, digital, and smart technologies throughout public life, sectors, and public services have created a massive demand for higher interconnectivity, speeds, reliability, and availability for networks. Unfortunately, meeting these needs is becoming progressively more difficult. The implementation of 6G requires mobile network operators (MNOs) to deploy Zero-touch Network and Service management (ZSM) solutions, underpinned by AI technology, to completely automate resource orchestration at high speeds to match demand. With the support of the Marie Skłodowska-Curie Actions programme, the 6G-AI-TANGO project will research and quantify data surrounding key performance indicators in mobile network prediction to enable AI models for use in ZSM and increase their robustness, efficiency, and trustworthiness.
Objective
"To fully exploit the 6G potential and ensure near-zero latency, infinite capacity, and 100% reliability and availability communications, Mobile Network Operators (MNOs) are expected to deploy Zero-touch Network and Service Management (ZSM) solutions that completely automate the resource orchestration and work at a very fast timescale, and Artificial Intelligence (AI) is regarded as the primary enabler for proactive decision-making algorithms that will underpin ZSM.
However, the robustness and trustworthiness of AI predictors are critical aspects and represent one of the major barriers presently withholding MNOs from trusting ZSM technologies. In fact, all existing studies on mobile traffic forecasting work under assumption of stationary network, but, in the case of mobile network Key Performance Indicators (KPIs) prediction, user demands and network configurations are time-varying (non-stationary) in operational mobile networks. For example, update of antenna configurations or shifts in popularity of mobile applications can happen over time.
Thus, this project is termed ""practical AI for Time-vAryiNG network traffic fOrecasting in 6G"" (6G-AI-TANGO) and aims to:
(i) assess and quantify the severity of temporal changes (due to non-stationarity) in 6G network KPI forecasting,
(ii) design AI models tailored to mobile KPI forecasting that are resilient to the long-timescale temporal variations regularly encountered in real-world user demands and network configurations, and
(iii) verify the robustness of proposed predictors on real-word data and in production-grade 6G mobile network during non-academic placement at Telefónica."
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications telecommunications networks mobile network
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Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships
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Call for proposal
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(opens in new window) HORIZON-MSCA-2024-PF-01
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28918 Leganes (Madrid)
Spain
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