The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 14, 2020

Filed:

Oct. 21, 2016
Applicants:

Mung Chiang, Princeton, NJ (US);

Carlee Joe-wong, West Hills, CA (US);

Sangtae Ha, Princeton, NJ (US);

Soumya Sen, Princeton, NJ (US);

Inventors:

Mung Chiang, Princeton, NJ (US);

Carlee Joe-Wong, West Hills, CA (US);

Sangtae Ha, Princeton, NJ (US);

Soumya Sen, Princeton, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04M 15/00 (2006.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
H04M 15/58 (2013.01); G06Q 30/0206 (2013.01); H04M 15/60 (2013.01); H04M 15/8027 (2013.01);
Abstract

A system for time deferred usage of mobile data by a plurality of user devices each coupled to a network server and running one or more applications. The system includes a network measurement module, user profiling module and a price-optimization computational module located at the network server and a user interface module located at each user device. The network measurement module collects traffic data from each of the applications to generate the historical congestion data and current congestion data. The user profiling module is configured to receive user reaction data and determine how much mobile data for each application may be deferred to a later point in time to generate the predicted user reaction data. The price-optimization receives the historical congestion data and the current network congestion data from the network measurement module and the predicted user reaction data from the user profiling module and generate day-ahead time-dependent price data for a plurality of upcoming timeslots of mobile data based on the historical congestion data, current network congestion, predicted user reaction data, network operator costs for data exceeding maximum network capacity and network operator costs for supplying data in less-congested time periods. The user interface receives a time interval based delay selection input for each of the one or more applications, select one or more of the upcoming data timeslots of mobile data for use by the one or more applications and delay mobile data usage by each of the one or more applications based on the delay selection input.


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