6GDAWN-RESILIENT - Decentralized AI and Architectures for Massive Wireless Network Slicing Scalability and Sustainability in 6G-RESILIENT

Ico_CTTC
Start: 01/12/2021
End: 31/12/2024
Funding: National
Status: On going
Research unit:
Services as Networks (SaS)
Acronym: 6GDAWN-RESILIENT
Call ID: UNICO I+D 5G
Code: TSI-063000-2021-55

6GDAWN-RESILIENT (within the coordinated project 6GDAWN) will devise a distributed management plane to handle the deployment of a massive number of network slices with emphasis on its reliability understood in a wide sense, i.e., guaranteeing secure and continuous operation of network slices. To this end, 6GDAWN-RESILIENT will evolve the traditional centralized cloud management system architecture, composed of three main entities: Monitoring System (MS), Analytics Engine (AE) and Decision Engine (DE), towards a distributed system, where the components will be decomposed and distributed over different technological domains (i.e., RAN, Core, Cloud, MEC). 6GDAWN-RESILIENT will elaborate advanced security schemes and plans to empower secure smart network slice life-cycle management (LCM).

6GDAWN-RESILIENT will provide AI-driven security mechanisms for automatic identification and mitigation of both in-slice and cross-slice attacks. Meanwhile, 6GDAWN-RESILIENT will focus on security issues associated with the operation of the AI techniques themselves. This can be used to deploy on-demand 6G private network slices with the highest level of security for Verticals.

6GDAWN-RESILIENT will leverage the developed massive scalable network slicing to propose innovative schemes that suit the needs of infrastructure providers, vertical tenants and final consumers.

Josep Mangues
PI/Project Leader
Engin Zeydan
Researcher
Manuel Requena
Researcher
Jorge Baranda
Researcher
Sarang Kahvazadeh
Researcher
Luis Blanco
Researcher
Centre Tecnològic de Telecomunicacions de Catalunya
Coordinator
SOFTWARE RADIO SYSTEMS LIMITED
ATOS SPAIN SA
Ericsson España SA
Telcaria Ideas SL
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