Qualcomm had 324 patents in internet of things during Q1 2024. Qualcomm Inc’s patents filed in Q1 2024 cover methods for automatic gain control in RF front-end circuitry, a package design with multiple dielectric layers and interconnects, electronic devices with lower inductance paths for capacitors, machine learning models for predicting object locations in spatial environments, and standard cells and transistors with unique silicide layers and contact structures. GlobalData’s report on Qualcomm gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Qualcomm grant share with internet of things as a theme is 36% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Fast automatic gain control in bypass and filter modes (Patent ID: US20240106562A1)

Qualcomm Inc. has filed a patent for methods and apparatus for automatic gain control (AGC) in bypass and filter modes for RF front-end circuitry. The method involves operating a receiver in a first mode during a set of symbols of a subframe, then determining whether to switch to a second mode in a subsequent subframe based on the output of a jamming detection circuit during a specific symbol. The receiver is controlled to operate in the determined mode in the subsequent subframe.

The patent claims detail the method for wireless communication, including operating a transmitter, switching between modes based on jamming detection, and selecting gain states for reception signals. The claims also cover the operation of the receiver in different modes, such as filtering or bypassing signals, based on the presence of jamming signals. Additionally, the patent includes claims for a wireless device and apparatus implementing the described methods for AGC in RF front-end circuitry.

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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.