- AI-Native for Autonomous 5G and 6G Networks
5G and Beyond (6G)
AI-native networks are set to increase the amount of automated operation within our networks, making them more scalable and resilient and decreasing OPEX. From a consumer perspective, this will translate to more reliable service operation at a lower cost.
Integration of AI in the management and operation of telecommunication networks, supports increased automation, reducing the operational expenditure and increasing the reliability of their operation. Together, this supports cheaper, more resilient, and high quality critical national infrastructure for society that relies on such networks for entertainment, maintain societal bonds, education, emergency support, and commerce. In this way, this work in-directly supports this by supporting standardisation that eases the integration of AI in networks.
Value of Research
In my fellowship i have been working to support the challenge of native integration of AI in the context of communication networks. While much success has been achieved in addressing network use cases with intelligent technologies, this has predominantly been applied in a case by case basis, with resulting outputs added to the networks in an ad-hoc way. Instead, AI-native networks are envisioned to accommodate the ubiquitous and native deployment of AI-based solutions in the network.
