At&t Intellectual Property I, L.p.

University of California

The State University of New York

University of Toronto

Bharath Balasubramanian

Rittwik Jana

Jin Wang

Dhruv Gupta

Shankaranarayanan Puzhavakath Narayanan

Kittipat Apicharttrisorn

Oliver Spatscheck

Subhabrata Bapi Sen

Kaustubh Joshi

Gueyoung Jung

Abhigyan

Rajarajan Sivaraj

Jiasi Chen

Eyal De Lara

Seyed Hossein Mortazavi

Anshul Gandhi

Muhammad Wajahat

Zhe Huang

Mohammad Saleheh

The technologies described herein are generally directed to modeling radio wave propagation in a fifth generation (5G) network or other next generation networks. For example, a method described herein can include, for a network application, identifying, by a system comprising a processor, a characteristic value of a performance characteristic associated with an uplink connection enabled via a network of a user equipment to application server equipment hosting the network application. The method can further include, based on the characteristic value and a criterion, selecting, by the system, a first packet size for the uplink connection. The method can further include communicating, by the system, to the user equipment, the first packet size for use with the uplink connection.

Streaming augmented reality data in a fifth generation (5G) or other next generation network

A method includes creating a session token including a session identifier and a current node, capturing a set of queries in a cache from a client device at the current node associated with the session identification, receiving a request from the client for data access at a second node wherein the request includes the session token, transferring a subset of data records from the current node to the second node, wherein the subset of data records is selected based on the session identifier and the set of queries; and granting access to the client to the second node.

System and method for session-aware datastore for the edge

A processing system of an edge exchange point including at least one processor may receive, from a cloud service provider a request to allocate a first tag to communications between the cloud service provider and a first telecommunication network, transmit an acceptance of the request to allocate the first tag to the communications between the cloud service provider and the first telecommunication network, obtaining a first packet containing the first tag from the cloud service provider, and transmit the first packet to the first telecommunication network in accordance with the first tag.

Telecommunication network edge cloud interworking via edge exchange point

A processing system may identify a first set of downloader devices for a first media stream from a first uploader device, where a plurality of servers of a distribution network is available to route the first media stream between the first uploader device and the first set of downloader devices, calculate a first upload bitrate and a first upload server of the plurality of servers for uploading the first media stream, where the calculating may minimize an average latency experienced by a plurality of downloader devices and maximize an average download bitrate for the downloader devices across a set of media streams including the first media stream, where the plurality of downloader devices includes the first set of downloader devices, and where each media stream is associated with a respective uploader device, and assign the first upload bitrate and the first upload server to the first uploader device.

Live streaming server selection

A system that determines whether a trigger has occurred within a cloud infrastructure. The system, in response to determining that a trigger has occurred, extracts characteristics from one or more virtual network functions (VNFs) of a service chain. The system, in response to extracting characteristics from the one or more VNFs, determines rehoming actions for each of the one or more VNFs. The system, in response to determining rehoming actions, predicts a rehoming delay or a chain downtime for each of the rehoming actions for each of the one or more VNFs. The system determines an optimal rehoming action from the rehoming actions for at least one of the one or more VNFs using the rehoming delay or the chain downtime for each rehoming action of the rehoming actions. The system performs the optimal rehoming action for the at least one of one or more VNFs.

Model-driven technique for virtual network function rehoming for service chains

Growing community of inventors

Princeton, NJ, United States of America

Bharath Balasubramanian