Sharing imaging information for sensing and positioning

A network apparatus comprising:

• one or more transceivers;
• one or more memories;
• a machine learning model;
• and
• one or more processors communicatively coupled with the one or more transceivers, the one or more memories, and the machine learning model, wherein the one or more processors are configured to:
• receive, from another network apparatus via the one or more transceivers, environment imaging information relating to an environment of a wireless network, the environment imaging information comprising:
• visual imaging information of the environment obtained via a camera;
• non-visual imaging information of the environment obtained via an optical sensor, a radio frequency (RF) sensor, or a combination thereof;
• or
• a combination thereof;
• and
• perform a sensing operation, a positioning operation, or a combination thereof using an output of the machine learning model, the output produced based on at least a portion of the environment imaging information.

A non-transitory computer-readable apparatus comprising a storage medium, the storage medium comprising a plurality of instructions configured to, when executed by one or more processors, cause a network apparatus of a wireless network to:

• receive, from another network apparatus, environment imaging information relating to an environment of the wireless network, the environment imaging information comprising:
• visual imaging information of the environment obtained via a camera;
• non-visual imaging information of the environment obtained via an optical sensor, a radio frequency (RF) sensor, or a combination thereof;
• or
• a combination thereof;
• and
• perform a sensing operation, a positioning operation, or a combination thereof using an output of a machine learning model of the network apparatus, the output produced based on at least a portion of the environment imaging information.