Apple Inc.

Sandisk Technologies Inc.

Datarobot, Inc.

Hewlett-packard Development Company, L.p.

Sriram Subramanian

Sanjeevi Balasubramanian

Shiva Krishna Narra

Madhukar K Shanbhag

Vishwanth Kamala Govindaraju

Wei Zhang

Nisha D Talagala

Swaminathan Sundararaman

Dirk Nickisch

Srinivasan Nimmala

Sharad Deepak Sambhwani

Tarakkumar G Dhanani

Sandeep K Sunkesala

Vijay Venkataraman

Sree Ram Kodali

Alosious Pradeep Prabhakar

Dawei Zhang

Yakun Sun

Rohit U Nabar

Tarik Tabet

Wen Zhao

Parvathanathan Subrahmanya

Muthukumaran Dhanapal

Lakshmi N Kavuri

Sagar B Shah

Fangli Xu

Haijing Hu

Murtaza A Shikari

Hong He

Wei Zeng

Haitong Sun

Yuchul Kim

Li Su

Johnson O Sebeni

Krisztian Kiss

David Flynn

Madhusudan Chaudhary

Pengkai Zhao

Thanigaivelu Elangovan

Robert A Wipfel

Vijay Gadde

Ioannis Pefkianakis

Franco Travostino

Sharad Garg

Dhruv Khati

Han Pu

Geoffrey R Hall

Yuqin Chen

Sethuraman Gurumoorthy

Longda Xing

Srirang Ashok Lovlekar

John Strasser

Vikram Bhaskara Yerrabommanahalli

James G Peterson

Raj S Chaugule

Xu Ou

Sachin J Sane

David Nellans

Rajesh Ambati

Rohit R Matolia

Mohammed Sadique

Krishna Myneni

Bharath Ramsundar

Gahima S Mbonye

Dhiraj J Shirke

Pranav Tripathi

Drew Roselli

Eduardo De Almeida Abrantes

Vinay Sridhar

Sindhu Ghanta

Zhu Ji

Jia Tang

Sami M Almalfouh

Lior Khermosh

Vladislav Bolkhovitin

Junsung Lim

Yi Su

Yu-Lin Wang

Harsha Shirahatti

Lior Amar

Wenping Lou

Nischay Goel

Stephen C Schweizer

Galib A Mohiuddin

An electronic device may include radios that transmit signals using antennas. Control circuitry may assign radio-frequency exposure (RFE) budgets to the radios. The control circuitry may classify and predict attributes of application data for transmission over the radios, may generate a per-radio data prediction based on the classified attributes, and may generate the RFE budgets based on the classified attributes. Each radio may transmit application data based on its data prediction and according to its RFE budget. A dynamic portion of the RFE budget may be reserved for control signaling. RFE planning in this way may ensure that the device optimally utilizes its RFE budget, increasing overall RFE during some time periods so sufficient transmit power is available, and ensuring that RFE is distributed across the radios depending on the amount and criticality of the data to be transmitted by each radio.

Electronic devices with application-based radio-frequency exposure management

User equipment in close proximity may transfer data and control information. For example, the user equipment may exchange data or data sets between each other. Each user equipment can receive and transmit data using radio access technologies. A group of user equipments may include active user equipment and passive user equipment. Active user equipment connects with one or more base stations and transfers data on a wireless communication network via the base station. The active user equipment may communicate with other active user equipment and passive user equipment. Passive user equipment may not connect to any base station and/or the wireless communication network and may communicate with other passive user equipment and active user equipment (e.g., via a sidelink, peer-to-peer, or device-to-device channel).

Unified operation for user equipment groups

Formation of user equipment groups

Control signaling reservation for radio-frequency exposure management

Systems and methods for user equipment group management and control

Apparatuses, systems, program products, and method are disclosed for detecting suitability of machine learning models for datasets. An apparatus includes a training evaluation module configured to calculate a first statistical data signature for a training data set of a machine learning system using one or more predefined statistical algorithms. An apparatus includes an inference evaluation module configured to calculate a second statistical data signature for an inference data set of a machine learning system using one or more predefined statistical algorithms. An apparatus includes a score module configured to calculate a suitability score describing the suitability of a training data set to an inference data set as a function of a first and a second statistical data signature. An apparatus includes an action module configured to perform an action related to a machine learning system in response to a suitability score satisfying an unsuitability threshold.

Detecting suitability of machine learning models for datasets

Some aspects of this disclosure relate to apparatuses and methods for communicating in a first radio access technology (RAT) and a second RAT. A user equipment (UE) can receive, from a first base station using the first RAT, first configuration information for the UE to communicate with a second base station via the second RAT; and receive, from the first base station using the first RAT, a downlink message to enable a communication link between the UE and the second base station via the second RAT. The downlink message includes second configuration information for the UE to communicate with the second base station via the second RAT. The UE can establish the communication link between the UE and the second base station using the second RAT based on a link configuration obtained from the first configuration information and the second configuration information.

Communications using multiple radio access technologies (RAT) for a multi-mode user equipment (UE)

Cooperative communication for user equipment groups

A user equipment (UE) device may reside in a state of dual connectivity with a master cell group (MCG) and a secondary cell group (SCG), wherein the radio access technologies of the MCG and the SCG are different. While in the dual connectivity state, the UE device may transition to a mode of reduced activity (e.g., processing and/or RF activity) relative to the secondary cell group (SCG) in order to save power, e.g., when traffic flow via the SCG is below a threshold, or when scheduling activity on the SCG is low. Various mechanisms may be employed to reduce activity, e.g., mechanisms such as reduction of beam monitoring, deactivation of secondary cells of the SCG, reduction of number of active antenna elements, employment of longer periods for periodic measurement and reporting processes, etc.

Traffic-rate based branch deactivation for UE power efficiency in a dual-connectivity mode

A wireless device may connect, using a first subscriber identity module (SIM), to a first base station according to a first radio access technology (RAT) and a second base station according to a second RAT. The wireless device may also connect, using a second SIM, to a third base station according to the first RAT. The wireless device may, in response to the second SIM performing a call according to the first RAT, disable the first RAT for the first SIM and perform, using the first SIM, data communication according to the second RAT while the call is performed using the second SIM.

Communication coordination and power saving techniques for multi-subscriber identity module devices

This disclosure relates to methods and devices for mitigating overheating in a user equipment device (UE). The UE is configured to communicate over each of LTE and 5G NR and may be configured to communicate through 5G NR over each of a Sub-6 GHz and a millimeter Wave (mmW) frequency band. The UE is configured to establish an ENDC connection with an enB and one or more gNBs. The UE implements intelligent transmission modification and cell measurement adjustments to mitigate overheating and reduce battery drain.

Smart mechanism to manage thermal impact in 5G NR

Disclosed are systems, methods, integrated circuits and computer readable storage media for configuring time sensitive communications (TSC). The configuring of the TSC includes monitoring, by a user plane function (UPF), a source and destination of packets in a first protocol data unit (PDU) session of a first user equipment (UE) and in a second PDU session of a second UE, pairing a first device side TSN translator (DS-TT) port of the first UE with a second DS-TT port of the second UE when the first PDU session and the second PDU session are served by the same UPF, wherein the pairing is based on the monitoring of the first and second PDU sessions and when the first DS-TT and second DS-TT ports are paired, communicating the packets between the first UE and the second UE in a UE-UE communication without traversing the TSN.

Time sensitive communications between user equipment

This disclosure provide various techniques for decreasing the time it takes user equipment to tune away from a compromised network connection. By more quickly detecting a signal characteristic issue (e.g., signal quality issue) in the compromised signal and performing mitigation actions, the user equipment may decrease power consumption and increase data throughput. The signal quality issue may be detected by monitoring the location of the user equipment, a channel impulse response of the user equipment, and/or a block error rate (BLER) of a signal, among other methods. The data obtained may be fed into confidence validation logic, which may determine a level of confidence that the signal quality issue may cause a weak or broken connection between the user equipment and a network. The confidence validation logic may, based on the determination, operate the user equipment in an active state, a suspend state, or a release state.

Systems and methods for early FR2 tune-away

This disclosure relates to techniques for a wireless device to perform millimeter wavelength communication with increased reliability and power efficiency using sensor inputs. The sensor inputs may include motion, rotation, or temperature measurements, among various possibilities. The sensor inputs may be used when performing beamforming tracking, antenna configuration, transmit and receive chain measurements and selection, and/or in any of various other possible operations.

Millimeter wave link reliability and power efficiency improvements using sensor input

Growing community of inventors

San Jose, CA, United States of America

Sriram Subramanian