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."
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
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)
MAIN PROGRAMME
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Topic(s)
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.
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.
Funding Scheme
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.
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
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2024-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28918 Leganes (Madrid)
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.