Fwd: Radio Resource Management for 6G in-X Subnetworks: Webinar on 26 June & Challenge Launch ITU

[Amali De Silva - Mitchell]

---------- Forwarded message ---------
From: AI-5G-Challenge, ITU <AI5GCh...@itu.int>
Date: Mon, 24 Jun 2024 03:30
Subject: Radio Resource Management for 6G in-X Subnetworks: Webinar on 26 June & Challenge Launch
To: AI-5G-Challenge, ITU <AI5GCh...@itu.int>

Dear Colleagues,

 

Radio resource management (RRM) in 6G networks will become increasingly complex due to ten-fold densification compared to 5G, especially with the introduction of in-X subnetworks for localized wireless coverage in various applications like in-robot and in-vehicle communications. To address the challenges of dynamic and dense environments with stringent low latency requirements, advanced AI solutions are being developed to optimize sub-band allocation and power control in in-factory subnetworks.

 

The ITU AI/ML Challenge 2024 has launched a new competition (https://challenge.aiforgood.itu.int/match/matchitem/94). This AI/ML challenge targets addressing the RRM challenge for in-X subnetworks. In particular, the task calls for the development of machine learning-based solutions that can find the optimized policy for sub-band allocation and power control for a dense in-factory network.

 

Details: https://aiforgood.itu.int/event/radio-resource-management-for-6g-in-x-subnetworks/

 

Webinar details are below;

• Date: 26 June 2024 (Wed.)
• Time: 14:00 – 15:00 CEST
• Speaker: Saeed Hakimi (Postdoctoral researcher, Aalborg University)
• Registration:  

 

For more information about the webinar visit here: https://aiforgood.itu.int/event/radio-resource-management-for-6g-in-x-subnetworks/

 

Regards,

Thomas