GTI & GSMA AI Evolution for Communication and Sensing in Future Network Challenge
Official recruitment will begin soon
This challenge focuses on future network, enhance communication and sensing performance through AI empowerment, break through traditional functional boundaries, and explore new pathways for open and intelligent collaboration platform.
About this challenge:
The Challenge consists of the following 3 Tasks: to develop an AI model for -
Task 1: Ground Environment Noise Cancellation Technology Based on U6G Multi-Station Collaborative Sensing
Task 2: Training of a High-Performance Lightweight Future Network AI Receiver Model
Task 3: Sensing Capability Enhancement and AI Receiver Capability Enhancement Based on Universal Models
Notes: Applicants may choose to participate in one, two, or all three tasks.
For each of the 3 Tasks the Future Network Open Test Lab provides Applicants with the following enabling devices and capabilities
1) Data
2) Functionality
3) Interfaces
4) Scenarios
5) and Services
The specific goals for the Challenge are as follows
1) A dedicated model for Task 1 clutter elimination and Task 2 AI receiver design.
A general model for Task 3.
The Challenge Process is as follows
1) Potential Applicants register to the Challenge and remotely receive the data via cloud
2) Applicant runs / builds their AI model themselves on the data received
3) Applicant then receives a new data set of test verification data for their AI model to run on
4) Applicant sends back to GTI performance results of their AI model and a "demo" of it
5) Challenge judges assess the Round 1 applications and for those which are shortlisted to go through to the final round.
6) Applicant is invited to send their AI model to GTI (Beijing) for final round evaluation
More information about the challenge will be released soon.
