CENTRIC Webinar Explores AI-Driven Physical Layer Innovations for 6G

The CENTRIC project’s upcoming webinar will delve into AI-native techniques transforming the 6G physical layer, featuring insights from NVIDIA, Keysight, IDC, and Nokia.

On May 21, 2025, from 14:00 to 15:30 CET, the CENTRIC project will host a pivotal webinar titled “Physical Layer Methods for AI-native 6G Air-Interface”. This session aims to illuminate how artificial intelligence is revolutionizing the physical layer of 6G networks, moving beyond traditional paradigms to embrace AI-native designs.

Agenda Highlights:

  • Sebastian Cammerer (NVIDIA): Real-Time Neural Receiver for Pilotless Communication
    Exploring the development of neural receivers that eliminate the need for traditional pilot signals, enhancing efficiency and performance.
  • Alejandro V. Rodriguez (Keysight): Testing and Validation of 6G Neural Receiver
    Discussing methodologies for validating AI-driven receivers, ensuring reliability and robustness in real-world scenarios.
  • Ahmet Serdar Tan (IDC): AI-Enabled Non-Codebook Based Symbol Modulation
    Introducing innovative modulation techniques that leverage AI to optimize symbol mapping without predefined codebooks.
  • Aakash Saini (Nokia): AI/ML-Driven Spatial-Frequency-Temporal Domain CSI Compression
    Presenting advanced methods for compressing channel state information using AI/ML across multiple domains to reduce overhead.

This webinar represents a significant step towards realizing the AI-native air interface envisioned for 6G, where machine learning algorithms are deeply integrated into the communication stack. By addressing challenges such as pilot overhead, modulation flexibility, and CSI compression, these innovations promise to enhance spectral efficiency, reduce latency, and improve overall network performance.

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Why It Matters:

As the telecommunications industry progresses towards 6G, integrating AI at the physical layer is crucial for meeting the demands of ultra-reliable low-latency communications (URLLC), massive machine-type communications (mMTC), and enhanced mobile broadband (eMBB). The CENTRIC project’s focus on AI-native solutions positions it at the forefront of this transformation, contributing to the development of more intelligent and adaptable networks.

Key Questions:

  • How will AI-native physical layer techniques impact the design and standardization of 6G networks?
  • What are the implications of pilotless communication for synchronization and channel estimation?
  • How can the industry ensure interoperability and scalability of AI-driven components across diverse network environments?

Join the Conversation:

Stay ahead in the evolving landscape of wireless communications by participating in this insightful webinar. For more details and registration, visit the CENTRIC webinar page.

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