name: NW
full_form: Network
context: evaluation cases are considered for multi-vendors, - Case 1 (baseline): Type 2 training between one NW part model to one UE part model - Case 2: Type 2 training between one NW part model and M>1 separate UE part models. - Companies to report the AI/ML structures for the UE part model and the NW part model - Case 3: Type 2 training between one UE part model and N>1 separate NW part models. - Companies to report the AI/ML structures for the UE part model and the NW part model For the evaluation of an example of Type 3 (Separate training at NW side and UE side), the following procedure is considered for the sequential training starting with NW side training (NW-first training): - Step1: NW side trains the NW side CSI generation part (which is not used for inference) and the NW side CSI reconstruction part jointly - Step2: After NW side training is finished, NW side shares UE side with a set of information (e.g., dataset) that is used by the UE side to be able to train the UE side CSI
description: A collective set of interconnected network functions delivering telecommunications capabilities. In this context, NW refers to the network side in the evaluation cases for multi-vendors, specifically involving Type 2 training between one NW part model and one or multiple UE part models.
explanation: The abbreviation 'NW' is classified as a Network based on its role in the provided context from 3GPP TS 38.843, where it represents the network side involved in various evaluation cases for multi-vendors.
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