Qualcomm and Nokia Bell Labs show how multiple-vendor AI models can work together in wireless networks
1 min read
Summary
Qualcomm and Nokia’s Bell Labs used the Mobile World Congress 2025 to show off an AI-enhanced channel state feedback and how it works with multiple-vendor AI models.
The demonstration showed how these can work together in wireless networks to improve flexibility in sequential learning, referred to as sequential learning.
This can to facilitate network decoder-first or device encoder-first training, with the two companies designing interoperable AI models without needing to share proprietary details of their implementations.
Instead, a training dataset of model input/output pairs is shared from one company to the other to improve network performance.
As AI technologies are deployed in real-world networks, it is important to ensure that models work robustly in diverse environments to handle new situations.