At&t Mobility Ii LLC

At&t Intellectual Property I, L.p.

Radio Frequency Systems, Inc.

Metawave Communications Corporation

Hyundai Motor Company

Kia Corporation

At&t Intellectual Property I,l.p.

Cricket Wireless LLC

Kathrein-werke Kg

At&t Intellectaul Property I, L.p.

Sheldon Kent Meredith

Jeremy Fix

William Charles Cottrill

Mark D Austin

Mario Kosseifi

Brandon Bowers Hilliard

Rick Tipton

Zachary Meredith

John Pastore

Francisco Martinez

Juliette Zerick

Biren Parekh

Yevgeniy Puzyrev

Mark Pack

Andrew G Hume

Peter Hardie

Sarat Puthenpura

Michael A Salmon

George Goehring

Jie Chen

David Patterson

Christine Thomas

Ravishankar Doejode

Larry Fix

Kurt Donald Huber

Wenjie Zhao

Roderic W Paulk

John D Francis

Joseph Patrick Dennisson

Rudolph Louis Mappus, Iv

Thomas Kiernan

Rajeev Garg

Radhika Gouni

Charles Michaelis

Trey Norred, Iii

Kuang-Chi Tung

Lakshman Sundeep Myneni

Michael Bates

Stephen Kelly

Lawrence Ryan

Justin McNamara

Douglas O Reudink

Yuang Lou

Mark D Reudink

Rudolph Mappus

Vijayan Nagarajan

David A Dye

Natalia Schenck

Ivan Dario Hernandez Sanchez

Ivan Rasnik

R Blair Bardwell

Walter Brian Steele

James Kercheville

Bachir Aoun

Shravari Abnave

Muayyad Mustafa

Naeemul Hassan

Christopher Parsons

Andrew Jones, Iii

Martin J Feuerstein

Gopalakrishnan Meempat

Gary Allen Martek

Wei Yuan

Edmond J Abrahamian

Tony Wong

Thomas Ogle Shafer

Adam Gasper

Robert S Larkin

Kevin M Gaukel

Mohamad Hannaoui

Pitt W Arnold

Umut Akyol

Kevin J Connolly

Paul Ireifej

Warren Frederick Hunt

Adam Edgar

Chuanyun Zang

Douglas T Sanders

Roger Kirk Reese, Jr

Sankat Chauhan

Tung Nguyen

Scot D Gordon

Thomas W Hammond

Dan Edwards

Jason Summers

Gopal Meempat

Gary S Goldsmith

Donn Harvey

Sarah L Green

Prashant Shivaji Bhapkar

Abhijit Railkar

Michelle McHugh

Aspects of the subject disclosure may include, for example, an end-user device comprising: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: storing for each other end-user device of a plurality of other end-user devices a respective identification, the end-user device and the plurality of other end-user devices forming a group; receiving a first indication of a first subset of the group with which to carry out first communications, the first subset comprising one or more first target end-user devices selected from the group; responsive to receipt of the first indication, sending to each of the one or more first target end-user devices a first instruction to communicate with the end-user device via a first dynamically determined channel; and engaging in the first communications with each of the one or more first target end-user devices after each of the one or more first target end-user devices has tuned to the first dynamically determined channel. Other embodiments are disclosed.

System, apparatus, and method for dynamic channelization of group communications

In one example, a method includes calculating a signal to noise ratio of a captured audio stream, determining that the signal to noise ratio of the captured audio stream is lower than a predefined threshold, acquiring visual data of a source of the captured audio stream in response to the determining that the signal to noise ratio of the captured audio stream is lower than the predefined threshold, using the visual data to infer a sound that is being made by the source of the captured audio stream, indexing the sound that is being made by the source of the captured audio stream to a library index, and transferring the library index to a receiving user endpoint device.

Leveraging visual data to enhance audio reception

A resource upgrade predictor can be operable to receive, from a first network node device, traffic information. Based on the traffic information, the resource upgrade predictor can obtain network utilization data related to other network node devices having a similar interference characteristic to the first network node device. The resource upgrade predictor can use this network utilization data to determine a demand at which at least a defined value related to a transmission link capacity associated with transmissions between the first network node device and the user equipment, is attained. The resource upgrade predictor can also obtain projected demand data associated with a geographic area serviced by the first network node device, and determine, based upon the demand and the projected demand data, a time at which a network resource upgrade related to the first network node device, is to be performed.

Machine learning between radio loading and user experience

A managed Wi-Fi service network device can receive, from a cellular network device, an allowable throughput rate at which a user equipment is authorized to communicate via a managed Wi-Fi service network. Based on the allowable throughput rate, the managed Wi-Fi service network device can monitor a communication rate of the user equipment via the managed Wi-Fi service network. In response to the user equipment communicating via the managed Wi-Fi service network at a rate that exceeds the allowable throughput rate, the managed Wi-Fi service network device can facilitate reducing the communication rate of the user equipment. Also, a user equipment can receive from a cellular network device an allowable throughput rate at which the user equipment is authorized to communicate via the managed Wi-Fi service network. The UE can communicate via the managed Wi-Fi service network at a communication rate that does not exceed the allowable throughput rate.

Adaptive throughput for user equipment communicating via a managed Wi-Fi service network

A system for predicting injuries includes a plurality of sensors configured to generate sensor data and an apparatus having an input-output interface and a processor coupled to the input-output interface and wherein the processor is coupled to a memory, the memory having stored thereon executable instructions that when executed by the processor cause the processor to effectuate operations including receiving the sensor data, applying analytics to the sensor data, based on the applying step, predicting a likely injury, and transmitting a report based on the predicting step.

System and method for estimating potential injuries from a vehicular incident

In one example, a processor may receive a first request to process a first task, the first request including a first estimated central processing unit utilization for the first task and a first estimated memory utilization for the first task and receive central processing unit capacities and memory capacities of a plurality of sub-data routers including at least a first sub-data router. The processor may further determine that the first sub-data router has a lowest central processing unit capacity from among the plurality of sub-data routers that is sufficient to accommodate the first estimated central processing unit utilization for the first task and determine that the first sub-data router has a memory capacity that is sufficient to accommodate the first estimated memory utilization for the first task. The processor may then assign the first task to the first sub-data router.

Task allocation among devices in a distributed data storage system

In one example, a processing system may identify a type of data contained in a first dataset that is to be stored in a storage array, wherein the storage array comprises a plurality of storage zones, and wherein the plurality of storage zones includes at least two different types of storage technologies. The processing system may generate a metadata file for the first dataset that contains self-describing information for the first dataset, wherein the metadata file is generated based on the type of the data, and wherein the self-describing information defines a manner, a time, and a location for storing the first dataset. The processing system may send the first dataset to a first storage zone of the plurality of storage zones, wherein the self-describing information includes an instruction to send the first dataset to the first storage zone for at least a defined period of time.

Record information management based on self-describing attributes

A domain and a mobile device may exchange data via a radio access node included in a mobile network. During a time of peak demand, a data load level of the radio access node may exceed a threshold. To accommodate the peak demand, historical types and volumes of data may be used to manage a data rate related to data associated with the domain. Based on the historical information, the data rate for a mobile device, a radio access node, a range of time, or a data type may be controlled. The data rate may be managed by a network gateway, such as a gateway included in the mobile network.

Controlling data rate based on domain and radio usage history

A call challenger can receive a user input from a called party identity to opt-in to a call challenge service, and a second user input of a keyword. When the call challenger receives a call directed to a user equipment of the called party identity, the call challenger can prompt the calling party to provide an audible response. In response to a receipt of the audible response, the call challenger can convert the audible response to a text. The call challenger can compare the text with the keyword to determine if there is a sufficient match. In response to the determining the output of the comparing does not satisfy a threshold match score, the call challenger can prevent the call from connecting with the user equipment.

Intercepting and challenging unwanted phone calls

Aspects of the subject disclosure may include, for example, identifying, during a CPU's execution of a first program, a branching instruction of the first program that redirects execution to a second program. Responsive to the identifying of the branching instruction, a return address of a next instruction of the first program is encrypted. The encrypted return address is transferred to the second program without the CPU retaining a record of the return address. The encrypted return address is received from the second program responsive to its completion of execution. The received encrypted return address is decrypted to obtain the return address enabling a resumption of execution of the first program from the next instruction. Other embodiments are disclosed.

Secure CPU architecture using encryption of return addresses

Aspects of the subject disclosure may include, for example, a process that formulates an inference that a first group of mobile devices are at ground level, and obtains, for the first group of mobile devices, positions and barometric pressure readings. Ground heights with respect to a common reference height are determined for the first group of mobile devices, and reference barometric pressures are calculated for the first group of mobile devices, at the common reference height according to the barometric pressure readings and the determined ground heights. At least a portion of the reference barometric pressures are combined to obtain a reference barometric pressure. Other embodiments are disclosed.

Altitude determination according to crowd sourced barometric pressure measurements

Aspects of the subject disclosure may include, for example, responsive to a first registration request to access a mobile network, determining whether a first phone number associated with a first IMSI assigned to a first SIM of a first mobile device matches a second phone number associated with a second IMSI assigned to a second SIM of a second mobile device, determining whether the second mobile device is currently registered to the mobile network, and, in turn, sending a request for authentication to register the first mobile device and to deregister the second mobile device, determining whether a response to the request for the authentication code matches an authentication code, and responsive to the determining the response matches the authentication code, registering the first mobile device to the mobile network and deregistering the second mobile device from the mobile network. Other embodiments are disclosed.

System and method for using multiple wireless devices on a single wireless phone number

Aspects of the subject disclosure may include, for example, applying a setting voltage across first and second electrodes, wherein a nanowire with a first electrical resistance is electrically connected between the first and second electrodes, wherein the applying of the setting voltage causes a migration of ions from the first and/or second electrodes to a surface of the nanowire, and wherein the migration of ions effectuates a reduction of electrical resistance of the nanowire from the first electrical resistance to a second electrical resistance that is lower than the first electrical resistance; and applying a reading voltage across the pair of electrodes, wherein the reading voltage is less than the setting voltage, and wherein the reading voltage is sufficiently small such that the applying of the reading voltage causes no more than an insignificant change of the electrical resistance of the nanowire from the second electrical resistance. Other embodiments are disclosed.

Memristive device and method based on ion migration over one or more nanowires

A method includes receiving, at an access point, an access request from a first device after an expiration of a first passcode. The access request is encrypted based on the first passcode. The method includes making a determination by the access point before an expiration of a usage time of a first passcode usage list that an identifier of the first device is included in the first passcode usage list. The method also includes, in response to making the determination, generating, at the access point, data representing a second passcode by encrypting the second passcode using the first passcode; and sending the data representing the second passcode from the access point to the first device.

Dynamic passcodes in association with a wireless access point

Growing community of inventors

Atlanta, GA, United States of America

Sheldon Kent Meredith