Abstract: A method allocates radio resources to a plurality of communications in a broadband telecommunication system, each communication being associated with at least one piece of user equipment, at least one of the communications being associated with a single piece of user equipment, the radio resources being distributed according to time and frequency between blocks of resources. The plurality of communications forms at least one group of communications and at least the same block of resources is allocated to the group of communications in order to transmit the plurality of communications.

Abstract: A method allocates radio resources to a plurality of communications in a broadband telecommunication system, each communication being associated with at least one piece of user equipment, at least one of the communications being associated with a single piece of user equipment, the radio resources being distributed according to time and frequency between blocks of resources. The plurality of communications forms at least one group of communications and at least the same block of resources is allocated to the group of communications in order to transmit the plurality of communications.

Abstract: An error correction encoding method is provided for encoding source digital data having the form of a frame, wherein the data can be classified into a plurality of classes. The present encoding method includes the following steps: a first encoding step for encoding data to be encoded formed by the data of a first class, to obtain encoded data; and implementing the following step successively for at least one other class: mixing data of the other class and the data encoded or to be encoded from a preceding encoding step; and encoding data to be encoded formed by mixed data to obtain encoded data. Related decoding methods, as well as encoding and decoding devices are also disclosed.

Abstract: An error correction encoding method is provided for encoding source digital data, having the form of a frame, wherein the data can be classified into N classes, where N is an integer at least equal to 2. The encoding method includes: a first step of recursive systematic convolutional encoding of the data of the class 1; an implementation of the following steps, for each n ranging from 1 to M, where M is a positive integer equal to or lower than N?1: nth mixing (108n+1) of a set formed by data of the class n+1 (102n+1), the systematic data and the parity data from a preceding encoding step; and (n+1)th recursive systematic convolutional encoding (110n+1) of data formed by the result of nth mixing. A decoding method is provided for decoding encoded data with the encoding method, using an associated encoding device and a decoding device.

Abstract: An error correction encoding method is provided for encoding in parallel source digital data, having the form of a frame, wherein said data can be classified into N classes, where N is an integer at least equal to 2. The encoding method includes: a first recursive systematic convolutional encoding step of data to be encoded, formed by the data of the class 1; and an implementation of the following steps, for each n ranging from 1 to M, where M is a positive integer equal to or lower than N?1: nth mixing of a set formed by the data of the class n+1 and the systematic data of the preceding encoding; and (n+1)th recursive systematic convolutional encoding of data to be encoded, formed by the result of the nth mixing. Also disclosed is a related decoding method, as well as an associated encoding and decoding devices.

Abstract: The present invention relates to an error correction encoding method for encoding so-called source digital data, having the form of a frame, wherein said data can be classified into N classes, where N is an integer at least equal to 2. The encoding method according to the invention comprises: a first step of recursive systematic convolutional encoding of the data of the class 1; an implementation of the following steps, for each n ranging from 1 to M, where M is a positive integer equal to or lower than N?1: nth mixing (108n+1) of a set formed by data of the class n+1 (102n+1), the systematic data and the parity data from a preceding encoding step; (n+1)th recursive systematic convolutional encoding (110n+1) of data formed by the result of nth mixing. The invention also relates to a method for decoding encoded data with the encoding method according to the invention, as well as associated encoding device and decoding device.

Abstract: An error correction encoding method is provided for encoding in parallel source digital data, having the form of a frame, wherein said data can be classified into N classes, where N is an integer at least equal to 2. The encoding method includes: a first recursive systematic convolutional encoding step of data to be encoded, formed by the data of the class 1; and an implementation of the following steps, for each n ranging from 1 to M, where M is a positive integer equal to or lower than N?1: nth mixing of a set formed by the data of the class n+1 and the systematic data of the preceding encoding; and (n+1)th recursive systematic convolutional encoding of data to be encoded, formed by the result of the nth mixing. Also disclosed is a related decoding method, as well as an associated encoding and decoding devices.

Abstract: An error correction encoding method is provided for encoding source digital data having the form of a frame, wherein the data can be classified into a plurality of classes. The present encoding method includes the following steps: a first encoding step for encoding data to be encoded formed by the data of a first class, to obtain encoded data; and implementing the following step successively for at least one other class: mixing data of the other class and the data encoded or to be encoded from a preceding encoding step; and encoding data to be encoded formed by mixed data to obtain encoded data. Related decoding methods, as well as encoding and decoding devices are also disclosed.