Centurion+ Patent Holders as of April 9, 2024

His research interests include information theory, coding theory and their applications in physical layer security, and machine learning. He was a recipient of the Erik Jonsson Graduate Fellowship in 2012, the Louis-Beecherl Jr. Award in 2015, and the UTD Electrical Engineering Industrial Advisory Board Award in 2016, from The University of Texas at Dallas.

Patent №: 11956819 (April 9, 2024) – System and method for performing transmission cancellation indication monitoring. A method involves a network providing a transmission grant to a UE device. It initiates the grant process for a specific time, verifies no cancellation indication overlaps with it, and then provides the grant. It also checks if any transmission overlaps with a cancellation window associated with a monitoring occasion and skips the occasion accordingly. A system for this purpose is also disclosed.

Patent №: 11956732 (April 9, 2024) – Autonomous physical uplink shared channel repetition cancellation for energy-limited devices. A UE may transmit multiple uplink channel repetitions to a base station. If the device’s power level doesn’t meet a predetermined threshold for the required repetitions, it decides not to transmit them. The device can adjust its power level through energy harvesting operations, thus enhancing power efficiency and reliability for uplink transmissions.

Patent №: 11956728 (April 9, 2024) – Downlink power adaptation for full-duplex systems. If downlink messages from a base station overlap with uplink messages from the UE, the UE determines a downlink transmission power adjustment. The base station can convey this adjustment via RRC signaling or DCI messages. The UE then transmits the uplink messages while receiving the downlink messages at a transmission power corresponding to the adjustment. This adjustment reduces self-interference at the UE and/or base station.

Patent №: 11954615 (April 9, 2024) – Model management for non-stationary systems. A method to enhance quality or yield of a physical process involves obtaining values for variables associated with the process from its performances. It determines Gaussian mixture models (GMMs) representing these values, computes anomaly scores based on the GMMs, identifies performances as outliers, and modifies variables for subsequent performances based on this identification.

Patent №: 11954342 (April 9, 2024) – Masked training and analysis with a memory array. Describes methods, systems, and devices for masked training and analysis using a memory array. The memory device can operate in two modes: the first mode disables the MTA decoder and couples the input node with the first decoder’s output node, while the second mode enables the MTA decoder and couples the input node with the second decoder’s output node.