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. 13, 2015

Filed:

Oct. 20, 2008
Applicants:

Marie Line Alberi-morel, Nozay, FR;

Carine Balageas, Nozay, FR;

Vinod Kumar, Nozay, FR;

Inventors:

Marie Line Alberi-Morel, Nozay, FR;

Carine Balageas, Nozay, FR;

Vinod Kumar, Nozay, FR;

Assignee:

Alcatel Lucent, Boulogne-Billancourt, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04J 3/00 (2006.01); H04L 29/06 (2006.01);
U.S. Cl.
CPC ...
H04L 65/604 (2013.01); H04L 65/80 (2013.01);
Abstract

A method is devoted to the transmission, via a wave-based transmission infrastructure (RC) using an access method relying on multiplexing that is at least time division multiplexing, of content from at least one channel, each piece of content being arranged into one base data layer and at least one enhancement data layer, respectively associated with different transmission time slices, and broken down into portions transmitted during the time slices respectively associated with their layers. This method comprises i) the insertion, in a chosen location of each portion of a base data layer to be transmitted, within a chosen network layer, of at least one learning sequence processed according to a configuration scheme identical to that used to process the enhancement data layer, and ii) upon receiving a portion of a base data layer of a piece of content within a terminal (TC), extracting the learning sequence inserted into a chosen network layer, then estimating the reception quality based on that extracted learning sequence, and allowing it to use the next portion of the content's the enhancement data layer whenever the estimated quality is above a chosen threshold.


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