- Patent Title: Encoding a data set using a neural network for uplink communication
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Application No.: US17400975Application Date: 2021-08-12
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Publication No.: US12185100B2Publication Date: 2024-12-31
- Inventor: Pavan Kumar Vitthaladevuni , Taesang Yoo , Naga Bhushan , June Namgoong
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: Harrity & Harrity, LLP
- Main IPC: G06F21/00
- IPC: G06F21/00 ; G06N3/04 ; H04W12/033
Abstract:
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a first device may encode a data set using one or more extraction operations and compression operations associated with a neural network, the one or more extraction operations and compression operations being based at least in part on a set of features of the data set to produce a compressed data set. The first device may transmit the compressed data set to a second device. Numerous other aspects are provided.
Public/Granted literature
- US20220060887A1 ENCODING A DATA SET USING A NEURAL NETWORK FOR UPLINK COMMUNICATION Public/Granted day:2022-02-24
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