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:
Dec. 27, 2016

Filed:

Sep. 28, 2011
Applicants:

Hesham El Gamal, Dublin, OH (US);

John Tadrous, Columbus, OH (US);

Atilla Eryilmaz, Dublin, OH (US);

Inventors:

Hesham El Gamal, Dublin, OH (US);

John Tadrous, Columbus, OH (US);

Atilla Eryilmaz, Dublin, OH (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 5/00 (2006.01); H04W 16/00 (2009.01); H04B 7/26 (2006.01); H04W 4/00 (2009.01); H04W 28/02 (2009.01); H04W 28/08 (2009.01); H04W 72/04 (2009.01);
U.S. Cl.
CPC ...
H04L 5/0064 (2013.01); H04W 16/00 (2013.01); H04B 7/2656 (2013.01); H04W 4/00 (2013.01); H04W 28/02 (2013.01); H04W 28/08 (2013.01); H04W 72/0453 (2013.01);
Abstract

A system and method for allocating resources in a network is disclosed. The system and method comprises a proactive resource allocation framework in which the predictability of user behavior is exploited to balance the network traffic over time and to reduce the bandwidth required to achieve a given blocking/outage probability. The disclosed proactive resource allocation framework avoids limitations associated with off-peak demand and achieves a significant reduction in the peak to average demand ratio without relying on out of network users. It is based on a model in which smart devices are assumed to predict the arrival of new requests and submit them to the network T time slots in advance. Using tools from large deviation theory, the resulting prediction diversity gain is quantified to establish that the decay rate of the outage event probabilities increases linearly with the prediction duration T.


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