ZTE had 53 patents in big data during Q1 2024. ZTE Corp filed patents in Q1 2024 for methods and devices related to adjusting initial values for User Equipment (UEs) in a cell, configuring UEs with quality information for minimization of drive tests, processing three-dimensional point cloud data, and predicting RRU undervoltage risks using federated learning. These patents aim to improve network performance, data processing efficiency, and predictive maintenance in communication systems. GlobalData’s report on ZTE gives a 360-degree view of the company including its patenting strategy. Buy the report here.

ZTE grant share with big data as a theme is 11% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Method and apparatus for adjusting initial values of outer-loop, and computer-readable storage medium (Patent ID: US20240073893A1)

The patent filed by ZTE Corp. discloses an outer loop initial value adjustment method for User Equipment (UEs) scheduled by a cell. The method involves acquiring feature information of the UEs, performing raster division to obtain rasters, determining an outer loop value within a target Block Error Rate (BLER) range for each raster, identifying a target raster for a specific UE, and setting the outer loop value of the target raster as the initial outer loop value of the target UE. The method utilizes mapping curves of Modulation and Coding Scheme (MCS) versus Signal-to-Interference-plus-Noise Ratio (SINR) for different chip types, clustering chip types, and performing raster division based on chip type classification. Additionally, the method involves adjusting outer loop values based on scheduling feedback results to optimize performance.

The patent also includes claims for a method, apparatus, and computer-readable storage medium for adjusting initial outer loop values. The method involves acquiring feature information of UEs, performing raster division, determining outer loop values for rasters, identifying a target raster for a specific UE, and setting the outer loop value of the target raster as the initial outer loop value of the target UE. The apparatus includes a memory, processor, and computer program for executing the method, while the storage medium stores the executable instructions. The method further includes steps for adjusting outer loop values based on scheduling feedback results, calculating BLER, and re-executing raster division if BLER does not meet a preset value.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.