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AppleGranted patentNetworks & wirelessInterest 3/10

Apple patents AI method to compress wireless channel data

This patent describes a method for compressing channel state information (CSI) data sent from a device to a base station. It uses an artificial intelligence encoder to summarize the radio channel conditions, ensuring the number of data points matches the AI model's input requirements.

Why it mattersIt improves the efficiency of 5G and future wireless networks by reducing the amount of data needed to describe signal quality.

In the filing’s own words

Systems, methods, and circuitries are provided for aligning a number of eigen-vectors summarizing channel state information to a number of input nodes of an AI-based CSI feedback compression encoder. In one example, a method includes receiving a channel state information (CSI) report configuration that indicates a number of PRBs; determining a number of subbands and a respective number of PRBs in each respective subband; and generating a plurality of eigen-vectors, wherein one or more of the eigen-vectors summarizes a channel state matrix across a respective subband. A number eigen-vectors in the plurality corresponds to number of inputs of an artificial intelligence (AI) encoder used for CSI feedback compression.

What exactly they claim (claim 1)

1. A user equipment (UE), comprising: a memory; and a baseband processor coupled to the memory, the baseband processor configured to, when executing instructions stored in the memory, cause the UE to: receive a channel state information (CSI) report configuration that indicates a number of PRBs; determine a number of subbands based on a number of inputs to an artificial intelligence (AI) encoder used for CSI feedback compression; determine a number of PRBs for each of the subbands such that all PRBs indicated by the CSI report configuration are assigned to a subband and no subband includes a PRB outside the PRBs indicated by the CSI report configuration; and based on the determined number of subbands, generate one or more sets of eigen-vectors, wherein each set includes a number of eigen-vectors equal to the number of inputs to the AI-based encoder, further wherein one or more of the eigen-vectors summarizes a channel state matrix across a respective subband; input the one or more sets of eigen-vectors to the AI-based encoder; and transmit a CSI report based on an output of the AI-based encoder.

Facts

Company
Apple (Apple Inc.)
Official title
Input scaling for artificial intelligence based channel state information feedback compression
Patent number
US12771510B2
Application number
18422069
Filed
Jan 25, 2024
Granted
Oct 20, 2026
Inventors
6
Claims
16

Classified under

H04L 5/0053 Electricity & electronics

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.