newelectronics.co.uk, Nov. 26, 2024 –
The modern wireless industry is booming with over 7 billion mobile users, while there has been a massive jump in the number of wireless machine-to-machine (M2M) connections.
Consequently, one of the biggest challenges when it comes to designing the next generation of wireless systems and networks is simply managing their complexity.
For those designing next generation wireless networks traditional predefined designs are both inadequate and inflexible.
According to MathWorks' Principal Product Manager, Wireless Communications, Houman Zarrinkoub, predefined designs are struggling when having to deal with system complexities and are unable to adapt to rapidly changing requirements and environments.
"What we are seeing today is the emergence of AI-native technologies that are going to be able to address the issue of complexity," Zarrinkoub explained. "They are a hot topic today and everyone is talking about them. AI techniques have traditionally been used to optimise existing components or systems as part of modern engineering techniques. Now we are seeing AI systems being used to replace legacy components and that's a very different approach.
"It is true to say that the wireless industry has been behind many others when it has come to embracing AI but we've now recently seen standards bodies, such as 3GPP, introducing AI into the foundational aspects of 5G Advanced on the optimisation side.
"It has been very vocal about AI's significance and its role in the forthcoming 5G Advanced and now 6G standards and it talks about AI's functionality for enhanced positioning, beam management, and channel state information (CSI) feedback."
Elsewhere the Wi Fi Alliance has established a study group on ML while the ITU has incorporated AI into its 'pillars' when it comes to the development of 6G.
"Although there was some reticence at the beginning AI is now being embraced by all the standardisation organisations," said Zarrinkoub.