Meta Wireless

TID-1 job position in the METAWIRELESS Project has been reopened. Please apply here! …
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December 7, 2021 / News

Details of first course have been published

The details of course entitled “Responsible Research Practices: Reflection, Research Ethics, Research Integrity” (7-17/12/21), within the METAWIRELESS project, have been published here …
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November 15, 2021 / News

Deliverable D4.1 has been published

The Dissemination, standardization and awareness plan for the METAWIRELESS project, also registered as deliverable D4.1 of Work Package 4 (WP4), has been published. On the one hand, the purpose of the document is to provide a plan for the dissemination of the activities and results of the project, including also activities of public involvement. The aim is to increase interest in research results, targeting relevant groups such as the scientific community, industry, stakeholders and the …
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August 2, 2021 / News

Project summary

MetaWireless puts forth the disruptive idea to design wireless networks by treating the wireless environment as an optimization variable to be adapted to maximize the network performance. But how to implement this vision? How to modify in real-time the propagation properties of the environment between two communicating devices? The answer lies in realizing reconfigurable intelligent surfaces (RISs), incorporating them into 6G wireless networks. To succeed, this vision needs to advance and merge the inter-disciplinary fields of wireless communications, physics, electromagnetic meta-surfaces, computational learning, software networks that have never been combined before.

MetaWireless will lay the theoretical, algorithmic, and architectural foundation of RIS-enabled future wireless networks, and will develop the first open access system-level simulator for network optimization.

The above overall objective is decomposed into the following four research objectives of MetaWireless:

Objective 1 – Developing RISs. Bring to light the third generation of meta-materials technology by developing RISs that can be reconfigured in real-time and are able to perform joint communication and sensing tasks.
Objective 2 – Theoretical frameworks. Develop new mathematical techniques to introduce a novel communication theory that overcomes conventional Shannon’s theory and unveils the ultimate performance of RIS-based networks.
Objective 3 – Algorithmic frameworks. Develop new communication schemes, optimization protocols, and algorithms for RIS-based networks, coping with the large degrees of freedom and the passive nature of RISs.
Objective 4 – System-level simulator. Develop RIS-tailored ray tracing modules and build the first open access simulation (software) platform to analyze, optimize, and test large-scale RIS-based intelligent radio environments.