Dell Products Inc.

Liam B Quinn

Will A Egner

Jace William Files

Abu Shaher Sanaullah

Sean P O'Neal

Liam Prendergast

Rocco Ancona

Michiel Sebastiaan Emanuel Petrus Knoppert

Suresh K Ramasamy

Abeye Teshome

Christopher Alan Robinette

Anantha K Boyapalle

Fahd Pirzada

Julius Mueller

Erin Kurusz Walline

Yuan-Chang Lo

Harpreet S Narula

Claude Lano Cox

Mark W Welker

Kamal Joseph Koshy

Christian L Critz

Ernesto Ramirez

Vivek Viswanathan Iyer

Gerald Rene Pelissier

Carlton A Andrews

Charles D Robison

Robert L Winter

Richard William Schuckle

Jason Alan Shepherd

Bruce Montag

Deeder M Aurongzeb

Andrew Thomas Sultenfuss

Farzad Khosrowpour

Pratik Mukundray Mehta

Munif Farhan

Mitchell Anthony Markow

Rex W Bryan

Dileep Kumar Soma

Minho Cheong

Joseph Paul Marquardt

Denis Martin O'Connor

Alan Eric Sicher

Mandy Christina Phelps

Steven P Zessin

Susan Herbstritt

R Joel Pacheco

Neal R Kohl

Joseph Kozlowski

Shree A Dandekar

Curtis Schwebke

William Allen Curtis

James Arthur Brewer

Douglas Miles Anson

Roman Joel Pacheco

Fernando L Guerrero

Radhakrishna Reddy Dasari

Mark L Rehmann

Luc Dinh Truong

James W Clardy

William Dale Todd Nix

Brian O'Loughlin

Kevin A Kettler

Chad P Roesle

Venkata S Prayaga

Sripathi Yarasi

David Borel

Matthew W Penick

An information handling system comprising a processor, a memory device, and a power management unit (PMU). The processor to execute computer readable program code of an interim edge storage management system, the processor operatively coupled to a client device, an edge storage device, and a plurality of remote network file hosting systems managed by the interim edge storage management system, wherein the interim edge storage management system includes a storage orchestrator to manage data storage of the client device at and access to the edge storage device and the plurality of remote network file hosting systems based on recency of usage of files to be stored.

Method and apparatus for edge storage for enterprise applications

An information handling system is disclosed and may include a processor, a memory, and a power management unit (PMU). The processor may execute code instructions of a dynamic antenna mapping task agent that is configured to generate an optimized antenna mapping plan for one or more applications, one or more containers of related applications, or a combination thereof, wherein the optimized mapping plan determines which of the one or more applications, one or more containers, or a combination thereof is to use which one of one or more antennas, one or more wireless connections, or a combination thereof within the information handling system while the one or more application, one or more container, or combination thereof is operating within the information handling system.

System and method for providing dynamic antenna mapping within an information handling system

An information handling system of a management and orchestration module (MANO) may comprise a processor configured to determine user equipment device (UE) connectivity requirements for multiple UEs managed by the MANO, including a first UE transceiving via a first secure wireless link and a Wireless Local Area Network (WLAN) antenna with a non-cellular Access Point (AP), determine enterprise profile requirements for the UEs and detected network conditions of radio access networks (RANs) and cores of an enterprise mobile network, generate an optimal wireless link distribution across UEs that prioritizes access for the first UE to links with RANs, and determine a wireless link configuration adjustment for the first UE instructing termination of the first secure wireless link and establishment of a second secure wireless link with a RAN, according to the optimal wireless link distribution. A network interface device may transmit the wireless link configuration adjustment to the first UE.

System and method for network-assisted and self-adjusting power and security control for wireless links

A method of adaptively adjusting infrastructure of an enterprise mobile network may comprise inputting into a neural network performance metrics and performance requirements describing a performance gap between processing capabilities and requirements at an enterprise mobile network comprising a Multi-Access Edge Computing platform, Radio Access Networks, cellular network cores, and non-cellular access points, connectivity metrics and requirements describing a connectivity gap between measured and required minimum Quality of Service values for wireless links between a pool of user equipment devices (UEs), and the enterprise mobile network, outputting an adjusted infrastructure component configuration and an adjusted internetwork connectivity configuration predicted to minimize the performance gap and the connectivity gap, adjusting a distribution of computing resources across the enterprise mobile network, according to the adjusted infrastructure component configuration, and adjusting a distribution of communication traffic across the pool of UEs, and the enterprise mobile network, according to the adjusted internetwork connectivity configuration.

System and method for adaptively and dynamically scaling wireless communication enterprise network infrastructure

An information handling system comprising a processor, memory, and a wireless network interface device and the processor executing an access point survey module to survey a plurality of access points distributed across the multi-channel communication network having a plurality of wireless protocol networks to, based on the type of wireless protocol network, determine and assign a numerical value to the access point characteristics based on access point related signal quality factors and data connection factors aggregate the numerical values associated with the factors for each access point and rank each access point based on an aggregated score and assign communication for a network slice from the wireless network interface to an access point channel based on the aggregated scores of the access point.

System and method for prioritization of network traffic across multiple wireless options

An information handling system is disclosed and includes a processor, a memory, a power management unit (PMU), at least two antennas, and a wireless interface operatively coupled to the at least two antennas. The processor may execute code instructions for a distance and direction detection module therein configured to enable phase-based ranging with narrow band tone exchange, to add at least one constant tone duration to a wireless data signal frame, to monitor for nearby peripheral devices, and to measure at least two distances between each of the at least two antennas at the information handling system and a nearby peripheral device using switching between the at least two antennas.

System and method for peripheral device location using multiple high accuracy distance measurements with integrated system antennas

An information handling system executing an on-demand network slice overlay optimization system includes a processor executing the on-demand network slice overlay optimization system to receive wireless network load profile metrics from a regional edge device and the endpoint load profile metrics; receive core metrics from a radio access network (RAN) service provider descriptive of the load capacity of a core network to provide data throughput at a given time; determine whether the real-time data load demand of the grouped plurality of endpoint devices can be provisioned to the load capacity described in the core metrics; and provide instructions to dynamically adjust network slices at the regional edge device to provide for any changes in the real-time data load demand based on an elastic client business policy enforced at the regional edge device for wireless connectivity data for the grouped plurality of endpoint devices.

Method and apparatus for on demand network slice overlay and optimization

An information handling system operating a 5G network slice hub service system may comprise a wireless wide area network (WWAN) interface device transceiving data with a radio access network (RAN) within a RAN network slice, a wireless local area network (WLAN) interface device transceiving data with an endpoint computing device, a processor instructing a software defined network (SDN) controller to route data transceived within a set of RAN network slices at the WWAN interface device to be extended via a subset of radio frequencies designated for one or more endpoint device at the WLAN interface device by the SDN controller to the one or more endpoint devices, and routing data on the extended RAN network slice between the endpoint device and the WWAN interface device interfacing with the RAN.

System and method of routing communication of endpoint computing devices through 5G network slice as a service

An edge device is disclosed and includes a processor, a memory, and a power management unit (PMU). The processor executes code instructions of an edge throughput services management system for managing a wireless network and one or more devices operatively coupled to the wireless network and the edge device. The processor detects a number of managed client information handling systems operatively coupled to the edge device; creates a persona associated with each of the managed client information handling systems; conducts an inventory of one or more applications requiring network access associated within each persona; prioritizes each persona for network access; and prioritizes each application associated with each persona for network access. The edge throughput services management system to provide a service for monitoring and recommending adjustments to the wireless network and managed client information handling systems for flexible data bandwidth access to the wireless network.

System and method for providing device management and network management at an edge device

A system and method for establishing a bootstrap bridge via a network interface device at an information handling system to provide a transitive bootstrapping process for an untrusted (new) information handling system, wherein the bootstrap bridge comprises a temporary network enabler for communicating with the untrusted (new) information handling system and a secure gateway for communicating with a trusted core network, and wherein the bootstrap bridge receives an authentication request from the untrusted (new) information handling system via the temporary network enabler, wherein the authentication request includes an untrusted (new) information handling system identification (ID) with temporary authentication data loaded to the untrusted (new) information handling system upon manufacture, and the network interface device to transmit a request for challenge for the untrusted (new) information handling system ID to the trusted core network via the secure gateway on behalf of the untrusted (new) information handling system.

System and method for providing transitive bootstrapping of an embedded subscriber identification module

A method of provisioning an embedded subscriber identification module (eSIM) profile on an information handling system may include, with an embedded controller (EC), detecting a powering up process at the information handling system; with the execution of the EC, establishing an out-of-band (OOB) connection with a subscription manager-discovery server (SM-DS) to communicate an electronic identification confirming that the information handling system has an authentic subscription to services provided by a wireless wide area network (WWAN) carrier, the OOB connection being established at a level below an operating system (OS) of the information handling system; receiving a WWAN carrier eSIM profile over the OOB connection including an international mobile equipment identity (IMEI); installing the eSIM carrier profile with an embedded universal integrated circuit card (eUICC); and initiating a subscription confirmation with a WWAN carrier.

Systems and methods of automatically pre-provisioning embedded subscriber identification module (ESIM) profiles on an information handling system

An information handling system of a management and orchestration module (MANO) may comprise a processor configured to determine user equipment device (UE) connectivity requirements from UE connectivity metrics received from a first UE, for a plurality of UEs managed by the MANO, enterprise profile requirements for the UEs, and detected network conditions of radio access networks (RANs) and cores of an enterprise mobile network. The MANO may also generate an optimal wireless link distribution across the UEs based on the UE connectivity requirements, enterprise profile requirements, and network conditions of the RANs and cores, and determine an antenna configuration adjustment for the first UE, instructing selection of a wireless link via an antenna, selected to meet the UE connectivity requirement relative to wireless links assigned to the other UEs according to the optimal wireless link distribution. A network interface device may transmit the antenna configuration adjustment to the first UE.

System and method for intelligent wireless carrier link management system at user equipment devices

A mobile information handling system comprising a plurality of wireless network interface modules, a wireless network interface control system for controlling the plurality of wireless network interface modules, and a processor executing instructions of a wireless utilization machine learning inference modulator to receive iterative wireless utilization profiles indicating aggregated time and location profiles of wireless network utilization parameters and user configuration states of the information handling system for data needs including applications and hardware usage levels. The system to execute a machine learning process to determine a predictive time and date based plural wireless control setting index for adjusting control settings of the plural wireless network interface modules based on the received iterative wireless utilization profiles and to modify operation of some the plurality of wireless network interface modules based on the predictive time and date based plural wireless control setting index for an impending predictive time period.

Energy savings system based machine learning of wireless performance activity for mobile information handling system connected to plural wireless networks

Embodiments of systems and methods for remote assisted optimization of applications executed by an Information Handling System (IHS) are described. In an illustrative, non-limiting embodiment, an IHS may include computer-executable instructions for determining one or more application performance features of a target application using an application machine learning (ML) engine, and generating one or more application profile recommendations for the target application according to the determined application performance features. Using the profile recommendations, the instructions adjust one or more settings of the IHS to optimize a performance of the target application, and transmit the application profile recommendations to a server that is configured to provide a service for the target application. The server then uses the one or more application profile recommendations to provision the service for use by the target application.

System and method for remote assisted optimization of native services

A system, method, and computer-readable medium are disclosed for performing a traffic routing operation. The traffic routing operation includes: establishing a Bluetooth connection, the Bluetooth connection comprising a plurality of Bluetooth packets; establishing a WiFi connection, the WiFi connection comprising a plurality of WiFi packets and an associated wait indicator; identifying a plurality of wake sessions using the associated wait indicator; configuring a Bluetooth channel configuration; and, configuring a WiFi channel configuration using the associated wake indicator and the plurality of wake sessions, the configuring taking into account the Bluetooth channel configuration, the configuring interleaving the plurality of WiFi packets and plurality of Bluetooth packets.

Using a WiFi wait indicator for Bluetooth traffic persistence

Growing community of inventors

Austin, TX, United States of America

Liam B Quinn