IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks
21–23 October 2024 // Athens, Greece

Distributed Artificial Intelligence-Driven Open & Programmable Architecture for 6G Networks

The organizing committee:

Scope of the session

As the world moves from the 5G towards the 6G era, the mobile communications fabric needs to be architected differently to accommodate the emerging stringent requirements of innovative extreme future-looking applications that cannot be served by existing 5G mobile networks. Heading towards the next decade, when 6G is expected to be widely deployed, 5G application types will be redefined by morphing the classical service classes of Ultra-Reliable and Low-Latency Communications (URLLC), enhanced Mobile BroadBand (eMBB), and massive Machine-Type Communications (mMTC) and introducing new services, while also requesting the re-evaluation and re-engineering of the architecture of future mobile networks.

In response to these challenges, this Special Session on “Distributed Artificial Intelligence-Driven Open & Programmable Architecture for 6G Networks” serves as a platform to delve into the cutting-edge developments brought forth by two collaborative projects, ADROIT6G and CENTRIC, both funded by Phase 1 of the SNS JU.

ADROIT6G spearheads a visionary approach towards 6G network architecture, envisioning a system tailored to the specific requirements of diverse and innovative applications. This session aims to scrutinize ADROIT6G's disruptive innovations, focusing on Distributed AI for a high-performance core, the transition to fully cloud-native network software, and the achievement of software-driven, zero-touch operations. On a parallel trajectory, CENTRIC focuses on the development of an AI-enabled user-centric radio air interface, harmonizing seamlessly with ADROIT6G's objectives. The session will unfold the exploration of AI techniques in a top-down, modular approach to designing a wireless connectivity stack, emphasizing user-centricity through tailor-made solutions such as waveforms, transceivers, signalling, protocols, and Radio Resource Management (RRM) procedures.

By conjoining the expertise of ADROIT6G and CENTRIC, this Special Session seeks to offer conference participants a comprehensive understanding of the intricate interplay between the 6G architecture, AI-driven user-centricity, and Distributed Artificial Intelligence-Driven Open & Programmable Architecture for 6G Networks energy efficiency. The IEEE CAMAD 2024 provides an opportune stage for the dissemination and discussion of these ground-breaking advancements, fostering collaboration and knowledge exchange among researchers, practitioners, and industry experts.

Prospective authors are invited to submit original and unpublished work on the following research topics related to this Special Session. The following is a non-exhaustive list of terms related to the project:

  • CrowdSourcing AI
  • ML as a Service (MLaaS) 
  • Network management
    • Deep Reinforcement Learning
    • Multi-agent Reinforcement Learning
    • Multi-objective Reinforcement Learning
    • Federated learning
  • Meta-learning techniques
  • Energy-aware models for multimodal Representation Learning
  • Decentralized AI for D2D communications - BDI agents
  • Decentralized resource management for network slicing in B5G/6G networks
  • AI-driven VNF Placement, Scaling, Service Migration
  • Self-driven 6G infrastructures
    • Zero-Touch management
    • AI-driven dynamic slice reconfiguration
    • SLA-Driven End-To-End Slice Management
  • Green networking using AI
    • Energy-efficient communication
    • Traffic prediction

Important Dates

Paper submission: 1 June, 2024

Notification of acceptance: 31 July, 2024

Final paper submission: 31 August, 2024

Submission Guidelines: Manuscripts must be prepared in English with a maximum paper length of six (6) printed pages (following the standard IEEE 2-column format) and submitted via the Special Session’s EDAS link


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