ZTE has been granted a patent for a method that enhances signal reception by associating multiple overlapping signals with channel property assumptions (CPAs). The method involves selecting CPAs based on specific rules and receiving signals accordingly, improving communication efficiency in overlapping time domains. GlobalData’s report on ZTE gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on ZTE, IoT-5G convergence was a key innovation area identified from patents. ZTE's grant share as of July 2024 was 38%. Grant share is based on the ratio of number of grants to total number of patents.
Channel property assumption for signal reception in communication devices
The patent US12075457B2 outlines a method for communication devices and nodes to manage multiple overlapping signals in a time domain by utilizing channel property assumptions (CPAs). The method involves receiving multiple signals from a communication node, each associated with at least one CPA determined through spatial filtering. A selection rule is applied to choose at least one CPA based on the transmission timing of the signals, which may include offsets. The method also allows for the selection of CPAs based on various parameters, such as beam groups, antenna groups, and control resource sets, ensuring that the selected CPAs are appropriately prioritized and associated with the signals.
Additionally, the patent describes the role of the communication node in generating and transmitting the associations between the signals and their respective CPAs. The communication node is responsible for ensuring that the multiple signals are transmitted in a manner that allows the communication device to effectively select the appropriate CPAs based on the defined selection rules. This process enhances the efficiency of signal reception and management, particularly in scenarios where signals overlap in time, thereby improving overall communication performance. The claims emphasize the importance of spatial filtering and the structured approach to signal association and selection, which are critical for optimizing communication in complex environments.
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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.
