DESIRE6G: Deep Programmability and Secure Distributed Intelligence for Real-Time End-to-End 6G Networks Projects uri icon

researchers

type

  • European Research Project

reference

  • GA - 101096466

date/time interval

  • January 1, 2023 - December 31, 2025

abstract

  • Over the past decades the mobile communications has evolved over the different generations to the current 5G, and transformed into a
    fundamental infrastructure that supports digital demands from all industry sectors. However, 5G systems are expected to fall short on
    meeting the anticipated stringent performance requirements for the new generation of real time mission-critical applications. In view of
    that, DESIRE6G will design and develop novel zero-touch control, management, and orchestration platform, with native integration of AI,
    to support eXtreme URLLC application requirements. DESIRE6G will re-architect mobile networks through a) its intent-based control
    and end-to-end orchestration that targets to achieve near real time autonomic networking; and b) a cloud-native unified programmable
    data plane layersupporting multi-tenancy. The latter will be supported by a generic hardware abstraction layer designed for heterogeneous
    systems. Flexible composition of modular micro-services for slice specific implementations and flexible function placement depending
    on HW requirements will enable granular use case instantiation and service level assurance with minimum resource consumption and
    maximum energy efficiency. The DESIRE6G data, control, management, and orchestration plane is supported by a pervasive monitoring
    system, extending from the network to the user equipment or IoT terminal. DESIRE6G will employ distributed ledger technology to
    support a) dynamic federation for services across of multiple administrative domains and b) infrastructure-agnostic software security.

    Finally, DESIRE6G will enable communication-, and energy- efficient distributed AI, at the network edge, while considering application-
    level requirements and resource constraints. The proposed innovations will be validated employing a VR/AR/MR and a Digital Twin
    application at two distinct experimental sites.