Summary
5G associated to edge computing and the latest implementation technologies, is deemed to provide the required performance to address the most demanding scenarios like V2X use cases. However, if in ideal conditions, 5G has all the ingredients to fulfil those requirements, the real world is more challenging, with internal and external factors affecting network behaviour. To overcome that, AI and ML components play an essential role, sensing, mining, predicting and reasoning situations, being relevant building blocks of future autonomous 5G networks.
Summary
5G associated to edge computing and the latest implementation technologies, is deemed to provide the required performance to address the most demanding scenarios like V2X use cases. However, if in ideal conditions, 5G has all the ingredients to fulfil those requirements, the real world is more challenging, with internal and external factors affecting network behaviour. To overcome that, AI and ML components play an essential role, sensing, mining, predicting and reasoning situations, being relevant building blocks of future autonomous 5G networks.
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