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ITU has proposed that the new 6G air interface be AI native and use AI/ML to enhance the performance of radio interface functions, such as symbol detection/decoding and channel estimation. From a standardization perspective, 3GPP is operationalizing the ITU proposal for the AI-native air interface.
In Release 18, 3GPP conducted a first-of-its-kind study on AI/ML for a 5G New Radio air interface to investigate a general framework for AI/ML as well as selected use cases, including channel state information (CSI) feedback, beam management, and positioning.
Release 19 will expand on these topics on at least three fronts. Specifically, the study will investigate AI/ML-based radio resource management prediction for both the UE-sided model and network-sided model as well as the prediction of events (such as handover failure, radio link failure, and measurement events) for the UE-sided model.
Full Article: IEEE Vehicular Technology Magazine, Volume 19, Number 4, December 2024
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