Apple Inc.

Google Inc.

Motorola Mobility LLC

Indranil S Sen

Mohit Narang

Alejandro J Marquez

Shang-Te Yang

Peter M Agboh

Ruben Caballero

Digvijay Arjunrao Jadhav

Hsin-Yuo Liu

Diego C Hernandez

Vusthla Sunil Reddy

Chia Yiaw Chong

Xu Chen

Nicholas M McDonnell

Mark D Neumann

Raghuram C Kamath

Harneet Singh Oberoi

Bing Jiang

Robert William Mayor

Brent Michael Ledvina

Robert W Brumley

James A Van Bosch

Mark R Braun

Gary Leung

William J Bencze

Xi Yang

Graham R Alvey

Jonathan C King

Amit S Sant

Jerrold Von Hauck

Yi Jiang

Yannick L Sierra

Timothy R Paaske

Raman S Thiara

Manjit S Walia

Kevin C Camilleri

Robert W Schlub

Wen Zhao

Yu Cheng Chen

Michael E Russell

Vijay Gadde

Liquan Tan

Blake R Marshall

Reza Nasiri Mahalati

Xiaojun Chen

Michael DiVincent

Qiyang Wu

Qiong Wu

Ricardo R Velasco

Xiaoming Yu

Shrenik Milapchand

Phan Dao Minh Truong

Mun Soo Bae

Scott Vernon

Christopher B Crowe

Herve Sibert

Prathyusha Sangepu

Madhusudan Chaudhary

Xiaoyuan Tu

Vinay R Majjigi

Hung A Pham

Joachim S Hammerschmidt

Pengkai Zhao

Prashant H Vashi

Vaneet Pathak

Paul V Flynn

Matthew L Semersky

Jouya Jadidian

Rajesh Ambati

Anil K Kandangath

Weiping Dou

Umamahesh Srinivas

Lei Li

William Burchill

Gunes Dervisoglu

Tushar Ramanlal Shah

Chun-Lung Chen

Martin Schauer

Sunny Kai Pang Chow

Hailong Yang

Javier Gomez Tagle

Anthony Wang

Eric Conor Merkley

Amit Gaikwad

Vusthia Sunil Reddy

Haejoon Jung

Medini Guruprasad

Dineshan Poopalaratnam

Hung Kwan Oscar Au

Peiyu Chen

Dinesh Poopalaratnam

Devices and systems useful in concurrently receiving and transmitting Wi-Fi signals and Bluetooth signals in the same frequency band are provided. By way of example, an electronic device includes a transceiver configured to transmit data and to receive data over channels of a first wireless network and a second wireless network concurrently. The transceiver includes a plurality of filters configured to allow the transceiver to transmit the data and to receive the data in the same frequency band by reducing interference between signals of the first wireless network and the second wireless network.

Multi-radio filtering front-end circuitry for transceiver systems

Methods and devices are provided for allowing a mobile device (e.g., a key fob or a consumer electronic device, such as a mobile phone, watch, or other wearable device) to interact with a vehicle such that a location of the mobile device can be determined by the vehicle, thereby enabling certain functionality of the vehicle. A device may include both RF antenna(s) and magnetic antenna(s) for determining a location of a mobile device relative to the vehicle. Such a hybrid approach can provide various advantages. Existing magnetic coils on a mobile device (e.g., for charging or communication) may be re-used for distance measurements that are supplemented by the RF measurements. Any device antenna may provide measurements to a machine learning model that determines a region in which the mobile device resides, based on training measurements in the regions.

Enhanced automotive passive entry

Wireless communication between two electronic devices may be used to determine a distance between the two devices, even in the presence of an otherwise-disruptive attacker. A wireless receiver system of one device may receive a true wireless ranging signal from a first transmitting device and a false wireless ranging signal from an attacker. The wireless receiver system may correlate the wireless signals with a known preamble sequence and perform channel estimation using the result, obtaining a channel impulse response for the wireless signals. The wireless receiver system may filter the channel impulse response for the plurality of wireless signals by removing at least part of the channel impulse response due to the false wireless ranging signal while not removing at least part of the channel impulse response due to the true wireless ranging signal. The receiver system may perform a wireless ranging operation using the filtered channel impulse response.

Secure channel estimation architecture

Methods and devices useful in performing precise indoor localization and tracking are provided. By way of example, a method includes locating and tracking, via a first wireless electronic device, a plurality of other wireless electronic devices within an indoor environment. Location ambiguity mitigation is performed using characteristics of signals received by a reference node used to generate a radio frequency map of electronic devices.

Precise indoor localization and tracking of electronic devices

A method includes receiving an indication to transmit a first set of signals using a first standard (e.g., Long Term Evolution) via a first set of antennas of a radio frequency device and a second set of signals using a second standard (e.g., New Radio) via a second set of antennas. The method also includes transmitting the first set of signals via the first set of antennas using a first power based on positions of the first set and second set of antennas, exposure conditions of the first set and the second set of signals on a user, and/or priorities of the first and the second set of signals. Moreover, the method includes transmitting the second set of signals via the second set of antennas using a second power based on the positions of the antennas, the exposure conditions of the signals on the user, and/or priorities of the signals.

Transmission power management for concurrent operating radios

A secure ranging system can use a secure processing system to deliver one or more ranging keys to a ranging radio on a device, and the ranging radio can derive locally at the system ranging codes based on the ranging keys. A deterministic random number generator can derive the ranging codes using the ranging key and one or more session parameters, and each device (e.g. a cellular telephone and another device) can independently derive the ranging codes and derive them contemporaneously with their use in ranging operations.

Methods and architectures for secure ranging

A dynamic specific absorption rate (SAR) may be implemented by monitoring and controlling power utilization of the various radio frequency (RF) emitting components over time within a mobile device. Power utilization may be tracked and modified to control the time-averaged RF exposure over a rolling time window. Periodically calculations of the updated rolling averages for RF transmissions may be performed based on the transmission data received from the mobile device components, and the continuously updated rolling averages of RF transmissions may be compared to time-average power utilization limits. Based on such comparisons, the mobile device may dynamically adjust the current transmissions of the radio transceivers and other RF emitting components on the mobile device.

Wireless device performance optimization using dynamic power control

Multi-radio wireless network devices are capable of transmitting and/or receiving data from multiple radiofrequency (RF) networks at different bands. Total transmission power limitations may be in place due to, for example, safety reasons. As a result, active management of transmission power may be performed during simultaneous transmission in different bands and/or networks. In some embodiments, the management may take place on group-by-group basis and a network-by-network basis. Antennas may be grouped based on their relative positions and impact on radiation emitted by the devices.

Granular adjustment of antenna power in multi-radio systems

Systems, methods, and devices for grouping client devices based on sensor data in an assisted wireless communication system are provided. Sensor data may include device mobility, device type, and device application data usage, among other characteristics. An assisted wireless communication system may include client devices sending data to an access point. The clients may send conventional protocol data over a channel and, concurrently, send sensor data over an alternative channel. In some cases, client devices may exchange their protocol data, modify their own protocol data based on the exchanged data, and send the modified protocol data to the access point. This may allow the clients to adjust their grouping.

Assisted multi-user multi-input multi-output (MU-MIMO) communication system

Methods and devices useful in performing precise indoor localization and tracking are provided. By way of example, a method includes locating and tracking, via a first wireless electronic device, a plurality of other wireless electronic devices within an indoor environment. The method also includes performing front-back detection, performing stationary node detection, performing angle of arrival (AoA) error correction, and performing field of view (FOV) filtering. Performing indoor localization and tracking of the plurality of other wireless electronic devices includes providing an indication of a physical location of the plurality of other wireless electronic devices within the indoor environment.

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Santa Clara, CA, United States of America

Indranil S Sen