Sprint Communications Comapny L.p.

T-mobile Innovations LLC

Sprint Spectrum L.p.

T-mobile Usa, Inc.

T-mobile Lnnovations LLC

T-mobite Innovations LLC

Sprint Communications L.p.

Lyle W Paczkowski

Ronald R Marquardt

Arun Rajagopal

William Michael Parsel

Marouane Balmakhtar

Matthew Carl Schlesener

Carl Joseph Persson

Lyle Thomas Bertz

Mark Richard Bales

Galip Murat Karabulut

George Jason Schnellbacher

Pallavur Ananthakrishnan Sankaranaraynan

Tracy Lee Nelson

Ivo Rook

Michael David Svoren, Jr

Warren Bruce Cope

Brian Douglas Mauer

Farni B Weaver

Kenneth Ray Steele

Clinton Harry Loman

Stephen James Bye

Kevin R Cordes

David Hufker

Peter Paul Dawson

Robert L Spanel

Jeffrey F Phillips

Stevan A Klesper

Amar Nath Ray

Robin Dale Katzer

Nicolas A Nehme Antoun

Harry W Perlow

Walter Fred Rausch

Laurent Alexandre Laporte

James Patrick Sisul

Oliver Philippe Coudert

Brian Kuntz

Christopher Callender

Von Karl McConnell

Arun Santharam

Trevor Daniel Shipley

Charles Woodson

Ahsan Habib

Joao Carlos Osorio Gouvea Teixeira De Magalhaes

Bharatwajan Raman

Stephen P O'Neal

Timothy Kevin McGinnis

Ray N Durkin

Ada Nelly Pitocco

Zachary Kenneth McLain

Leo Michael McRoberts

Brian D Mantel

Jeremy Richard Breau

Manish Mangal

Robert E Urbanek

David Edward Rondeau

Roger Danforth Bartlett

Nishi Kant

Robert Keith Butler

Geoffrey Martin

Charles Brent Hirschman

Douglas Ray Green

Robert C Pippert

Samuel M Woleben

Billy Gene McCracken, Jr

Daniel Joe Sershen

Sean Alan Isaacson

Charles Daniel Todd

James Victor Ralston

Mark A Moore

Dorene G Weiland

Pei Hou

Brent Matthew Johnston

Kimberly J Ganote

Thomas Golden

Craig A Lee

Alberto Lorente

Carl J Persson

Clint H Loman

Ahmad Arash Obaidi

John Eric Belser

Wen Xue

Serge M Manning

Mark R Moore

Talat Jamshidi

Bejoy Pankajakshan

Douglas Alan Olding

Timothy Hugh Pearson

Dale Scott Schempp

Christopher J Bierbaum

Mohammed Ghouse Mohiuddin

Manoj Monga

Philip Martin Kunkel

Daesik Oh

Jay Dean Bluhm

Clyde Heppner

Alfred Richard Balakier

Ryan Sullivan

Bob Pippert

Ivan Sheon Fenwick

Joao “Tex” Teixeira

Object tracking using sensors that harvest energy from radio frequency (RF) signals described. The sensor may harvest energy from signals absorbed by a metalized layer of a sensor. The energy may energize a microcontroller and facilitate the broadcast of another RF signal. Additionally, the capture and communication of broadcasted RF signals is described.

Systems and methods of power harvesting for an embedded antenna

Systems and methods for immutable archiving of UE connection data for wireless communications networks are provided. In one embodiment, a method comprises: detecting when a UE has initiated access to a network operator core through a radio access network; determining whether a witness data collection service is to be activated for the UE; when the witness data collection service is to be activated: activating the wireless data collection service for a UE monitoring session; initiating transmission of a UE monitoring session block sequence from the UE to the network operator core, wherein the session block sequence comprises blocks each comprising collected witness data characterizing a connection between the UE and the network operator core during the UE monitoring session; determining when the UE monitoring session is complete; closing the session block sequence to form a ledger archive and storing the ledger archive to an immutable witness data archive.

Systems and methods for immutable archiving of user equipment connection data for wireless communications networks

A programmable radio exposure function switches between real-time and near-real-time modes of operation for a radio access network (RAN) intelligent controller of a telecommunications system. An application programming interface is exposed by the radio exposure function and performs radio resource management for the telecommunications system. The application programming interface communicates with services and/or applications to control RAN functions, and allocates RAN resources of the telecommunications system to a user equipment for the services and/or applications. A machine learning module is embedded within the radio exposure function and trained to identify network slices of the telecommunications system for the services and/or applications. The machine learning module analyzes data received from the user equipment to detect that the user equipment has violated a security constraint of the telecommunications system.

Radio exposure function for telecommunications networks

A wireless communication system delivers a wireless data service to a wireless communication device using content-addressing. The wireless communication system generates a content-address from a data set. The wireless communication system stores the content-address in association with the data set. The wireless communication system encrypts the content-address with a system key and transfers the encrypted content-address to the wireless communication device. The wireless communication device decrypts the encrypted content-address with a user key to obtain the content address. The wireless communication device re-encrypts the content-address with the user key. The wireless communication system receives the re-encrypted content-address from the wireless communication device and decrypts the re-encrypted content-address with the system key to obtain the content-address. The wireless communication system retrieves the data set from the memory circuitry with the decrypted content-address. The wireless communication system delivers the wireless data service to the wireless communication device based on the retrieved data set.

Wireless data service using content-addressing

In a wireless communication system, wireless communication devices filter smart contract data. The wireless communication devices generate source smart contract outputs. The wireless communication devices select some of the source smart contract outputs. The wireless communication devices select at least one target smart contract. The wireless communication devices transfer the selected source contract outputs to the ones of the selected target smart contracts. The selections that comprise this filtering may be based on device location, device identifier, digital certificates, device application identifiers, device component identifiers, alarms, messages, time, day, date, and/or some other factors.

Smart contract filtration in a wireless communication system

A first wireless network slice executes a first slice input and generates a first slice output. The first slice transfers the first slice output to a second wireless network slice. The second slice receives and authorizes the first slice output and transfers a first acknowledgement to the first slice. The first slice receives the first acknowledgement and responsively uses the first slice output to deliver a data communication service. The second slice executes a second slice input and generates a second slice output. The second slice transfers the second slice output to the first slice. The first slice receives and authorizes the second slice output and transfers a second acknowledgement to the second slice. The second slice receives the second acknowledgement and responsively uses the second slice output to deliver the data communication service.

Synchronized wireless network slicing

A method for implementing a slice security zone (SSZ) in a 5G network. The method comprises storing by an SSZ function executing on a first network server an SSZ security profile of the SSZ in a secure storage function, receiving by the SSZ function from a slice management function a slice registration request comprising information relating to a slice security profile of a slice managed by the slice management function, if the slice security profile complies with the SSZ security profile, storing by the SSZ function a slice registration association between the slice and the SSZ in the secure storage function, and sending by the SSZ function to the slice management function a slice registration response comprising information relating to whether the slice was registered in the SSZ.

5G hyperledger slice security framework

In a wireless communication network, an Application Function (AF) exposes an Application Programming Interface (API) for User Equipment (UE) information, and in response, receives API calls from an external data system. The AF transfers API responses to the external data system. The AF transfers API usage data to distributed ledger circuitry. The distributed ledger circuitry stores the API usage data in data blocks that form a blockchain. The distributed ledger circuitry terminates the blockchain, and in response, transfers a terminating data block for delivery to a network data system. The network data system generates an API charge based on the AF API usage data in the terminating data block.

Wireless communication network service using an application programming interface (API) and distributed ledger

A mobile communication device. The device comprises a processor, a non-transitory memory, a cellular radio transceiver, and an in-kind payment client application stored in the non-transitory memory. When executed by the processor, the client application initiates an in-kind payment from a first wireless communication service account that is associated with the mobile communication device to a second wireless communication service account associated with a second mobile communication device, sends a verification request message to the second mobile communication device, receives an in-kind payment verification response message from the second mobile communication device, where the response message comprises an indication of a location of the second mobile communication device and an indication of completion of an in-kind payment to the second wireless communication service account, and analyzes the indication of location of the second mobile communication device and the indication of completion of the in-kind payment.

Mobile communication device in-kind payment verification

A wireless communication device serves a user application from a protected memory region. Processing circuitry receives a memory call from the user application for the protected memory region. In response, the processing circuitry generates network signaling that characterizes the memory call and authorization factors for the memory call. Communication circuitry wirelessly transfers the network signaling and receives other network signaling that indicates a memory instruction. The processing circuitry directs the memory circuitry to perform the memory call in the protected memory region for the user application per the memory instruction. The memory circuitry performs the memory call in the protected memory region for the user application per the memory instruction.

Memory access for a user application in a wireless communication device

Embodiments of the present disclosure are directed to systems and methods for artificial intelligence-based filtering of user devices on a wireless network. Upon a request from a user device to access a requested network service, a trustlet executed in a trusted execution environment of the user device is activated. The trustlet provides data associated with the user device. The data is used to distinguish normal from anomalous device behavior. Analysis of the data can be facilitated by an artificial intelligence module. Based on the analysis, the requested network service may be selectively authorized or prohibited. Additionally, the trustlet can be activated while a network service is being utilized by a user device to detect anomalous and potentially deceptive activity.

Network access based on AI filtering

Systems and methods for ambient electromagnetic power harvesting (AEPH) chip reader-writer devices are provided that selectively control RF parameters of electro-magnetic (EM) signals transmitted to an AEPH chip. In embodiments, the selection of which RF parameter configuration is applied when transmitting an EM signal is determined by an RF parameter selection processor based on the function being invoked from the AEPH chip. In one embodiment, an AEPH chip reader-writer selects a first configuration of radio frequency (RF) parameters from a plurality of RF parameters based on a determination of a first operation for execution by an ambient electromagnetic power harvesting chip; configures an RF transmit path circuit to use the first configuration of RF parameters; and initiates execution of the first operation in the ambient electromagnetic power harvesting chip by transmitting via the RF transmit path circuit a first electromagnetic signal using the first configuration of RF parameters.

Systems and methods for an ambient electromagnetic power harvesting chip reader-writer apparatus

A wireless communication network attests to a geographic location of a wireless user device. An access node receives signaling transferred by the wireless user device that indicates the wireless user device, the geographic location, satellite signal characteristics for the geographic location, and terrestrial signal characteristics for the geographic location. The network access node transfers the signaling to a location attestation node. The location attestation node determines known signal characteristics for the geographic location. The location attestation node compares the known signal characteristics to the satellite signal characteristics and the terrestrial signal characteristics. The location attestation node generates a location-attestation score based on the comparison. The location attestation node transfers information that indicates the wireless user device, the geographic location, and the location-attestation score. The location attestation node may comprise a distributed ledge node.

User geographic location attestation by a wireless communication system

A wireless communication network executes a smart contract in distributed ledger circuitry and responsively instantiates a wireless network slice for a wireless communication device. The wireless communication network transfers user data for the wireless communication device over the wireless network slice and responsively transfers slice usage data for the wireless communication device to the distributed ledger circuitry. The wireless communication network executes the smart contract in the distributed ledger circuitry and responsively stores the slice usage data for the wireless communication device in the distributed ledger circuitry.

Distributed ledger control over wireless network slices

A method comprising distributing rendering of media content across an end user device and a rendering device located at a single premise based on instruction sets carried in a ledger associated of the media or based on distributed applications respectively stored at the end user device and rendering device. The method further comprises integrating, by the end user device, rendered content received from the rendering device with data obtain from performing processing and rendering operations at the end user device to obtain a final render of the media content, and displaying, on a display of the end user device, the final render of the media content.

Methods and systems for distributing rendering across devices in a customer premise

Growing community of inventors

Mission Hills, KS, United States of America

Lyle W Paczkowski