US Patent Application 17824890. LEARNING-BASED DYNAMIC SIGNAL FORMATTING WITH RAMIFICATION CODING simplified abstract

LEARNING-BASED DYNAMIC SIGNAL FORMATTING WITH RAMIFICATION CODING

Organization Name

QUALCOMM Incorporated==Inventor(s)==

[[Category:Jamie Menjay Lin of San Diego CA (US)]]

LEARNING-BASED DYNAMIC SIGNAL FORMATTING WITH RAMIFICATION CODING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17824890 titled 'LEARNING-BASED DYNAMIC SIGNAL FORMATTING WITH RAMIFICATION CODING

Simplified Explanation

- This patent application describes methods, systems, and devices for wireless communications. - The invention involves a transmitter that sends control signaling to a set of receivers, indicating a common resource and a dedicated resource. - The transmitter also uses a ramification coding structure to indicate different segments of a ramification codeword. - The ramification coding structure is determined based on common data for multiple receivers, hierarchical levels, a machine learning model, or a combination of these factors. - The transmitter encodes common and dedicated data into ramification codewords using the ramification coding structure. - The encoded ramification codewords are transmitted to the first receiver using both common and dedicated resources. - The first receiver, being aware of the ramification coding structure, can decode the transmitted ramification codeword in a dynamic signaling format.

Original Abstract Submitted

Methods, systems, and devices for wireless communications are described. A transmitter may transmit control signaling indicating a common resource commonly allocated to a set of receivers, a dedicated resource allocated to a first receiver, and a ramification coding structure that indicates a common code segment and a dedicated code segment of a ramification codeword. The transmitter may determine the ramification coding structure based on common data for multiple receivers, a quantity of hierarchical levels, a machine learning model, or any combination thereof. The transmitter may encode common and dedicated data into at least one ramification codeword in a dynamic signaling format using the ramification coding structure, and transmit the at least one ramification codeword to the first receiver via the common and dedicated resources. Being aware of the ramification coding structure, the first receiver may decode the ramification codeword transmitted by the transmitter in the dynamic signaling format.