At&t Intellectual Property I, L.p.

Future Wei Technologies, Inc.

Vid Scale, Inc.

Cong Shi

Kaustubh Joshi

Rajesh Krishna Panta

Guangyu Shi

Haiyong Xie

An eNodeB or other cell access point device can receive demand data from mobile devices served by the cell. The demand data can represent an estimate of demand over a future period for network resources (e.g., bandwidth). The cell can aggregate this demand data and determine price data for the time period or for various intervals of the time period, then transmit the price data to the mobile devices. The price data can operate as a collaborative approach to scheduling traffic. For example, data (e.g., delay tolerant data) can be shifted (e.g., delayed for a few seconds) based on an examination of the price data in conjunction a determined priority of the data. Such can be applicable to data traffic not traditionally thought of as delay tolerant such as streaming video or web browsing, and can be accomplished without negatively impacting the quality of service or experience of the client.

Collaborative scheduling of last hop cellular traffic

A method for determining a path for a user of a mobile device for traveling from an origination location to a destination location, comprising receiving a request for a recommended path from the origination location to the destination location, wherein the request comprises a origination location, a destination location, and a network quality constraint, receiving network access point information for access points between the origination location and the destination location, and generating, with a processor, at least one recommended path from the origination location to the destination location based on the request and the network access point information, wherein the recommended path satisfies the network quality constraint.

Proactive navigation techniques to improve users' mobile network access

Growing community of inventors

Atlanta, GA, United States of America

Cong Shi