ZTE had 101 patents in artificial intelligence during Q2 2024. The patents filed by ZTE Corp in Q2 2024 cover a range of network management and control methods, including implementing Digital Twin models for physical networks, simultaneous interpretation in call procedures, transmitting compressed codebooks for channel state information, and channel state information transmission methods. These innovations aim to improve network efficiency, communication quality, and data transmission processes. GlobalData’s report on ZTE gives a 360-degree view of the company including its patenting strategy. Buy the report here.

ZTE had no grants in artificial intelligence as a theme in Q2 2024.

Recent Patents

Application: Network management and control method and system, network system, and storage medium (Patent ID: US20240195683A1)

The patent filed by ZTE Corp. discloses a network management and control method and system that involves acquiring Digital Twin (DT) model data corresponding to physical objects in a physical network, generating DT cases at different levels based on the DT model data, obtaining a target analysis result, and generating network configuration information to be delivered to the physical network for implementation. The method utilizes Artificial Intelligence (AI) algorithms for processing the DT cases and involves updating the network configuration information based on new DT model data reported by the physical network.

Furthermore, the patent includes claims related to acquiring DT model data, generating DT cases at different levels, obtaining a target analysis result through AI algorithm-based processing, and updating the network configuration information based on changes in physical parameters or attributes. The network management and control system described in the patent comprises a memory, processor, and computer program that executes the method, while the network system includes a network management and control system and a data acquisition apparatus. The data acquisition apparatus is responsible for generating DT model data and sending it to the network management and control system for the generation of network configuration information. Overall, the patent focuses on leveraging DT technology and AI algorithms for efficient network management and control.

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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.