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

Matthew Carl Schlesener

Marouane Balmakhtar

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

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

Oliver Philippe Coudert

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

Ryan Sullivan

Bob Pippert

Ivan Sheon Fenwick

Joao “Tex” Teixeira

Joao C Teixeira De Magalhaes

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

Embodiments of the present disclosure provide for a quantum computing based network time validation function that can evaluate a large set of network time reference signals (e.g., a set of timestamps) and rapidly identify aberrations that can negatively affect network operation. In some embodiments, a method comprises: receiving a set of task data comprising a set of network time reference signals; searching the set of task data using a quantum search algorithm executed on a quantum computing platform, wherein the quantum search algorithm performs operations on more quantum states generated by the quantum computing platform based on a search task function defined by a quantum oracle, wherein the search task function comprises a time prediction task function; and generating an output comprising an indication of validation of the set of network time reference signals based on the searching.

Systems and methods for quantum based network time validation

A data communication network connects a user application in a wireless User Equipment (UE) to a user application server. An edge application server exchanges user data between the user application in a wireless UE and a wireless network slice. The wireless network slice exchanges the user data between the edge application server and the user application server. The data communication network determines a trust level for the exchange of the user data between the user application in the wireless UE and the user application server. In some examples, a distributed ledger in the data communication network determines the trust level for the exchange of the user data between the user application in the wireless UE and the user application server.

Wireless communication service over an edge data network (EDN) between a user equipment (UE) and an application server (AS)

A wireless communication system attests to user data from a wireless user device. The wireless user device receives satellite signals from satellites and determines satellite signal metrics for the satellite signals. The wireless user device determines its geographic location based on the satellite signals. The wireless user device executes an operating system in trusted processing circuitry in response to device power-up. The wireless user device executes a network application in the trusted processing circuitry. The network application transfers the user data, geographic location, and signal metrics to network elements. The network elements determine known satellite metrics for the geographic location. The network elements compare the satellite signal metrics to the known satellite metrics and generate an attestation score for the user data based on the satellite comparison. The network elements store the user data, the geographic location, and the attestation score. The network elements may comprise distributed ledger nodes.

Data attestation in a wireless communication system

A system can correct or avoid an unexpected result caused by executing a smart contract. The system can detect a potential/actual result generated based on a primary smart contract, which is stored in association with a block of a blockchain and is configured to execute when a predetermined condition is satisfied. The system can determine that the potential/actual result deviates from an expected result and, in response, retrieve a secondary smart contract from a repository. The secondary smart contract is selected to prevent the unexpected result in the future. The system can store the secondary smart contract retrieved from the repository in association with a subsequent block of the blockchain. The primary smart contract and the secondary smart contract are then configured to execute in concert when the predetermined condition is satisfied such that the expected result is produced instead of the unexpected result.

Techniques for correcting anomalous activity caused by smart contracts

Growing community of inventors

Mission Hills, KS, United States of America

Lyle W Paczkowski