With the aspiration to transform the current (5G) wireless thinking from focusing on “local” network improvements (e.g. isolating the radio access level or the resources management level etc.), to realizing a longer term vision of pervasive mobile virtual services, through a network managing computing and connectivity functions in an integrated way, ARIADNE envisions to bring together a novel high frequency advanced radio architecture and an Artificial Intelligence network processing and management approach in a unified system beyond 5G concept.

ARIADNE will investigate, theoretically analyse, design, develop, and showcase in a proof of concept demonstrator, an innovative wireless communications concept addressing networks beyond 5G, in which ultra-high spectral efficient and reliable communications in the bandwidth-rich D-band can be dynamically established and reconfigured by Machine Learning based design and intelligent network management, in both “Line of Sight” (LOS) and “Non-Line of Sight” (NLOS) environments.

ARIADNE will:

  • Experimentally validate on software and hardware the theoretical findings and technological developments,
  • Qualitatively and quantitatively assess the practical limitations and obstacles of AI-aided D-band communication systems in a real-life operating environment,
  • Assess the feasibility of the proposed architecture and individual components/functionalities integration, and
  • Identify possible accelerators for the adoption of AI-aided D-band wireless in the roadmaps of systems beyond 5G and potential limitations that may consist showstoppers and ways to overcome the associated obstacles.

ARIADNE objectives and Vision

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