name: UCI
full_form: Uplink Control Information
context: accuracy of Top-K/1(%) if no genie-aid Top-1 beam change out of the K predicted beam (pairs) during the additional measurements. Note: This is to explain the potential implications and relations of Top-1(%) and Top-K/1(%) beam prediction accuracy metrics defined in evaluations agenda item with regards to RS overhead and additional measurement. The corresponding specification impact is a separate discussion. Other KPIs, including: - UCI report overhead (e.g., number of UCI reports and UCI payload size) and/or UCI overhead reduction for inference of AI/ML model can be reported, at least for NW side beam prediction - UCI overhead reduction = 1- Total UCI payload size for AI/ML/Total UCI payload size of baseline. - Companies expected to report detailed assumption of UCI for AI/ML and baseline, e.g., including quantization mechanism. - Latency reduction: - (1 â (Total transmission time of N beams) / (Total transmission time of M beams)) - where N is the number of beams (with reference
description: Uplink Control Information (UCI) is signaling data transmitted between network components for managing uplink communication. It's used in AI/ML model inference and baseline comparisons, aiming to reduce overhead and latency.
explanation: UCI is classified as a Signal because it represents information carried over the network for control purposes. Its function is to manage uplink communication, aligning with the definition of a signal as a transmitted representation of data.
section_title: 6.3.1	Evaluation assumptions, methodology and KPIs3GPP TS 38.843
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