US Patent Application 18248350. COMMUNICATIONS USING A NEURAL NETWORK BASED AT LEAST IN PART ON AN INDICATED INPUT SIZE AND/OR INPUT STRUCTURE simplified abstract

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COMMUNICATIONS USING A NEURAL NETWORK BASED AT LEAST IN PART ON AN INDICATED INPUT SIZE AND/OR INPUT STRUCTURE

Organization Name

QUALCOMM Incorporated==Inventor(s)==

[[Category:Qiaoyu Li of Beijing (CN)]]

[[Category:Yu Zhang of San Diego CA (US)]]

[[Category:Hao Xu of Beijing (CN)]]

COMMUNICATIONS USING A NEURAL NETWORK BASED AT LEAST IN PART ON AN INDICATED INPUT SIZE AND/OR INPUT STRUCTURE - A simplified explanation of the abstract

This abstract first appeared for US patent application 18248350 titled 'COMMUNICATIONS USING A NEURAL NETWORK BASED AT LEAST IN PART ON AN INDICATED INPUT SIZE AND/OR INPUT STRUCTURE

Simplified Explanation

- The patent application relates to wireless communication and specifically focuses on a user equipment (UE) receiving information about the input size and structure of a transmitting-side neural network. - The UE receives an indication of the input size, which refers to the dimensions of the input to the neural network. - The UE also receives an indication of the input structure, which specifies the non-zero values and their locations within the input. - Based on this information, the UE can establish communication with a base station, taking into account the input size and structure of the transmitting-side neural network. - The patent application mentions that there are numerous other aspects provided, but these are not specified in the abstract.


Original Abstract Submitted

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive an indication of one or more of an input size or an input structure for a transmitting-side neural network, wherein the input structure indicates one or more of non-zero values or locations for the non-zero values within an input, having the input size, to the transmitting-side neural network. The UE may communicate with a base station based at least in part on the indication of the one or more of the input size or the input structure of the transmitting-side neural network. Numerous other aspects are provided.

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