Qualcomm and Nokia Bell Labs show how multiple-vendor AI models can work together in wireless networks

Qualcomm and Nokia Bell Labs showed how multiple-vendor AI models can work together in an interoperable way in wireless networks. Carl Nuzman, Bell Labs Fellow at Nokia Bell Labs and Rachel Wang, principal engineer at Qualcomm, said in a blog post that they demonstrated the flexibility of sequential learning, which can facilitate network decoder-first or device encoder-first training. They said Qualcomm and Nokia Bell Labs are continuing to work together to demonstrate the value of interoperable, multi-vendor AI in wireless networks. At Mobile World Congress 2024, they first demonstrated over-the-air interoperability of AI-enhanced channel state feedback encoder and decoder models. These were running in reference mobile devices with Qualcomm’s 5G modem-RF system and a Nokia prototype base station, respectively. These interoperable models were developed by the two companies using a new technique referred to as sequential learning. Now they’re back at MWC 2025 with more. Channel sta ... Read full article.