ZTE had eight patents in edge computing during Q1 2024. ZTE Corp’s patent involves a method for a platform manager node to receive VNF instance information from a wireless communication node, select a multi-access edge computing platform (MEP) based on this information, and transmit a configuration request to the selected MEP. 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 edge computing as a theme is 25% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Method for deployment multi-access edge computing application (Patent ID: US20240040355A1)

The patent filed by ZTE Corp. describes methods, systems, and devices for managing virtualization network functions (VNFs) in wireless communication networks. The platform manager node receives VNF instance information from wireless communication nodes, selects a multi-access edge computing platform (MEP) based on this information, and transmits configuration requests to the selected MEP. The system allows for efficient management and deployment of VNF instances in wireless networks.

The patent includes claims detailing the wireless communication method, orchestrator node, and platform manager node involved in managing VNF instances. These claims specify the process of receiving VNF instance information, selecting MEPs, and transmitting configuration requests. Additionally, the claims outline scenarios where the VNF instance information includes location details, the involvement of different network components like Multi-access Edge Application Orchestrators (MEAOs) and VNF managers (VNFMs), and the acquisition of multi-access edge computing (MEC) configuration information. Overall, the patent aims to streamline the management of VNFs in wireless networks through effective communication and coordination between network nodes.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

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.