Verizon Patent and Licensing Inc.

Bjorn Olof Erland Kalderen

Haim Shalom Ner

Feng Li

Jae Won Chung

Ning Chen

Damascene M Joachimpillai

Daniel Mindler

Eduard Rubinshtein

Parry Cornell Booker

Said Soulhi

John P Demko

Anant Shah

Kevin J Marnik

A system may include a first network device. The first network device may include a first processor configured to: obtain a copy of a first message sent from an application on a User Equipment device (UE); construct a signature based on the copy of the first message; and send a second message including the signature to a second network device. The second message may request the second network device to either train a classification model or to provide a device type of the UE or an application type of the application to the first network device.

HTTP/3 and QUIC-based device and application characterization

Systems and methods for pacing data transmission are described. An illustrative method includes transmitting, by a network device, a data stream at a pacing rate to a user equipment (UE) device. The method further includes accessing a metric of a radio access network (RAN) to which the UE device is connected, the metric associated with the UE device. The method further includes adjusting, based on the metric, the pacing rate at which the data stream is transmitted to the UE device.

Systems and methods for pacing data transmission for a wireless network

A method, a device, and a non-transitory storage medium are described in which a network performance optimization service is provided. A load balancer device may receive, from an end device, an application service request for an application service that is available from multiple server devices of an application layer network. The load balancer device may determine, from a source identifier associated with the end device and obtained from the application service request, that the source identifier does not map to a network traffic forwarding rule of a set of stored network traffic forwarding rules. In response, the load balancer device may map the source identifier to an application service profile of a set of stored application service profiles; select, based on the application service profile, a first server device of the multiple server devices and establish the first server device to be the destination of the application service request.

Method and system for network performance optimization service

A system can receive an indication associated with establishing a transmission control protocol (TCP) connection. The system can determine, based on the indication, information that identifies a user device associated with the TCP connection. The system can determine, based on the information that identifies the user device, a predicted congestion level of a base station associated with the TCP connection. The system can select, based on the predicted congestion level, a congestion control algorithm to be implemented for the TCP connection. The system can cause the TCP connection to be established and implement the congestion control algorithm for the TCP connection.

Dynamic congestion control algorithm selection in a proxy device

Techniques for reducing network congestion are disclosed. In one embodiment, a method is disclosed comprising receiving, by a computing device, a packet from a sender over a network; retrieving, by the computing device, congestion information; inserting, by the computing device, congestion data representing the congestion information into a header option of the packet to generate an augmented packet; transmitting, by the computing device, the augmented packet to a receiver; receiving, by the computing device, a response packet, the response packet including the congestion data; and transmitting, by the computing device, the response packet to the sender.

Transparent quantitative congestion control

A computing device may include a memory configured to store instructions and a processor configured to execute the instructions to identify a data connection from an application server device to a user equipment (UE) device, wherein the UE device is connected to the network via a wireless connection; determine a target sending rate for the data connection; determine a round trip time for packets associated with the data connection; and calculate a send buffer size for the data connection based on the determined target sending rate and the determined round trip time. The processor may be further configured to set a send buffer size for a socket associated with the data connection to the calculated send buffer size and control a send rate from the application server device to the UE device for the data connection using the set send buffer size for the socket.

Flow level pacing by controlling socket send buffer size

A system described herein may provide a technique for selecting and configuring a capture component and a filtering and analysis component for traffic capture in a manner that suitably accounts for Service Level Agreements ('SLAs') of traffic to be captured. A traffic capture request may indicate one or more SLAs and/or other attributes, and an orchestration system may identify a network function (such as a User Plane Function ('UPF') of a wireless network) that handles traffic that includes the requested traffic and instantiate the capture component at a node that implements the network function. The orchestration system may select a node, from a cluster of nodes, that is able to filter and analyze the traffic in an expedient manner in accordance with SLA(s) associated with the requested traffic, and install the filtering and analysis component at the selected node.

Systems and methods for network performance monitoring, event detection, and remediation

Methods, devices, and storage mediums select an edge network site over other candidate edge network sites, to resolve hostnames, from end devices, to Internet protocol addresses based on various network path information, over other factors, such as a proximity of the end device to the selected edge network site relative to the proximity to the other candidate edge network sites.

System and method for domain name system (DNS) service selection

A network device predicts end-to-end channel capacity entropy to permit use of optimal throughput settings in a network. The network device stores class definitions for a network condition; identifies multiple input features to correlate with the class definitions; generates a multiclass classification model that produces an importance score for each of the multiple input features, wherein the importance score reflects the contribution of an input feature to the network condition; selects two or more of the multiple input features with highest importance scores as influential features; predicts the behavior of the influential features to identify a current class, from the class definitions, for the network condition over an end-to-end communication channel; and sends an estimated network condition, based on the current class, to a device for traffic optimization.

System and method for measuring end-to-end channel capacity entropy

Near real time identification of predicted wireless communication congestion is based on a relationship between a number of key performance indicator (KPI) trend prediction values and corresponding KPI trend thresholds. Each KPI trend prediction value is calculated based on a number of past intervals and a number of KPIs corresponding to each past interval of the number of past intervals utilizing linear regression. A mobile communication network node, such as an enhanced node B, may identify predicted wireless communication congestion and notify mobile devices served by the node. Mobile devices served by the node, based on the notification, may restrict background application data communication and/or take appropriate action to contribute to a reduction in and/or elimination of the congestion.

Identification of wireless communication congestion

To reduce the potential for renewed network congestion after a need for a restriction of data communications for background applications has been eliminated, the examples implement techniques in which a mobile device calculates a distributed deactivation delay value corresponding to an amount of time to wait before deactivating the restriction. The mobile device may generate a seed value unique to the mobile device for use in generating an initial distributed deactivation delay value and random control values generated by a threshold determination. The threshold determination iterates through generating a respective control value and calculating a respective threshold value until either a relationship between the respective control value and the respective threshold value meets a threshold condition or a maximum number of iterations are performed. Each threshold determination iteration increases the initial distributed deactivation delay value such that the distributed deactivation delay value is relative to a total of performed iterations.

Growing community of inventors

South Orange, NJ, United States of America

Bjorn Olof Erland Kalderen