/Methods, Apparatus, And Systems For Artificial Intelligence (ai)-enabled Filters In Wireless Systems
Abstract

Methods, apparatus and systems are disclosed. One method may include a wireless transmit/receive unit (WTRU) receiving a transmission including a data unit (DU) on a first set of resources. The WTRU may select an artificial intelligence (AI) filter based on the first set of resources and input the DU or a part of the DU to the selected AI filter. The WTRU may perform AI filtering on the inputted DU or part thereof to output any of: a set of AI-based transmission parameters or an AI-processed DU. The AI-processed DU may include: a first portion of the DU processed by the AI filter and a second portion of the DU processed by a rule-based component, or the DU processed by the AI filter. The WTRU may transmit any of: the AI-processed DU using a set of rule-based transmission parameters, or a rule-based DU using the AI-based transmission parameters.

Full Text

What is claimed is:

Methods, apparatus and systems are disclosed. One method may include a wireless transmit/receive unit (WTRU) receiving a transmission including a data unit (DU) on a first set of resources. The WTRU may select an artificial intelligence (AI) filter based on the first set of resources and input the DU or a part of the DU to the selected AI filter. The WTRU may perform AI filtering on the inputted DU or part thereof to output any of: a set of AI-based transmission parameters or an AI-processed DU. The AI-processed DU may include: a first portion of the DU processed by the AI filter and a second portion of the DU processed by a rule-based component, or the DU processed by the AI filter. The WTRU may transmit any of: the AI-processed DU using a set of rule-based transmission parameters, or a rule-based DU using the AI-based transmission parameters.
Timeline
Filed
04/21/2026
Published
08/27/2026
Granted
Not Available
IPC Codes(3)
H04W 72/50:Allocation or scheduling criteria for wireless resources
G06N 3/0455:Auto-encoder networks; Encoder-decoder networks
G06N 3/084:Backpropagation, e.g. using gradient descent