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TeraWireless aims to:
Introduce innovative ultra-MIMO (multiple-input multiple-output) technology to boost data rates and link reliability through spatial multiplexing and superdirective beamforming, while pioneering the development of electromagnetic and communication models to assess performance in low-scattering THz channels, where multipath propagation is not viable, integrating sensing, localization, and communication capabilities.
Advance the emerging concept of semantic and goal - oriented communications by incorporating message semantics and communication goals within communication layers.
Develop novel physics - based machine learning solutions for energy - efficient, robust, reliable, and explainable - by - design implementations.
Provide the research community with the EU's and the world's first open - access, open - source simulation environment - integrating ray tracing, link-level, and system - level features - for evaluating and optimizing large-scale deterministic THz networks operating at optical speed.
Objective 1
First-principles electromagnetic models and engineering: To develop and validate accurate electromagnetic antenna models accounting for the unique features of U-MIMO operating at THz frequencies, and to use them to develop new communication schemes for guiding the engineering design of new U-MIMO arrays.
Objective 2
Performance evaluation and design: To develop accurate channel models for THz propagation to enable the assessment of the effective performance of scalable, computationally efficient, robust rule-based ML architectures, data-aware (sematic, goal-oriented) communication designs for deterministic U-MIMO THz networks.
Objective 3
Open-access/open-source integrated simulation environment: To develop the first of its kind open-access/source integrated simulation platform, amalgamating advanced ray tracing channel models, link-level technologies, network-level resource allocation strategies specifically tailored for deterministic THz networks.
TeraWireless objectives will be achieved by solving 13 key research challenges, tackled by 13 recruited fellow.
Objectives
Work Packages
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