Abstract: Systems and methods for for efficient information exchange between UE and gNB to enable AI/ML based CSI Compression for CSI feedback enhancement.

Abstract: A method may include accessing a first code commit for a software application from a code repository, the code repository including a sequence of code commits for the software application; accessing a second code commit for the software application from the code repository, the second code commit occurring prior to the first code commit in the sequence of code commits for the software application; parsing the first code commit for differences across a plurality of dimensions from the second code commit; generating a video frame based on the differences; and appending the video frame to a video, the video including a plurality of frames tracking differences between code commits of the software application.

Abstract: A system for optimizing one of a 5G New Radio (NR) network or a 4G Long Term Evolution (LTE) network operation, includes: an artificial intelligence (AI) engine configured to: a) implement at least one of the following: i) collection of raw training data set; ii) training of an AI agent; iii) inference generation triggered by UE; iv) using at least one of network key performance indicator (KPI) report and network operator inputs; and v) network KPI collection after application of inferences; and b) at least one of infer and apply at least one of i) network-wide optimal per-gNB or per transmission/reception point (TRP) Synchronization Signal (SS) burst set, and ii) associated channel state information reference signal (CSI-RS) configurations for downlink (DL) reference signal transmissions, thereby enhancing at least one of network transmission power efficiency and spectral efficiency.

Abstract: Provided is a system and method for providing online learning in an offline environment. In one example, the method may include receiving an authentication code of a user and a user identifier at a shared agent device that is shared by multiple users, signing, via the shared agent device, the received authentication code with a signing key that is unique to the shared agent device, authenticating, via the shared agent device, the user with a host platform based on the signed authentication code, and, in response to successful authentication of the user, outputting a learning session for the user based on content received from the host platform.

Abstract: Provided is a system and method for providing online learning in an offline environment. In one example, the method may include receiving an authentication code of a user and a user identifier at a shared agent device that is shared by multiple users, signing, via the shared agent device, the received authentication code with a signing key that is unique to the shared agent device, authenticating, via the shared agent device, the user with a host platform based on the signed authentication code, and, in response to successful authentication of the user, outputting a learning session for the user based on content received from the host platform.