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: This interference reduction method in a receiver (2) comprising at least two antennas (4, 6), each receiving a signal transmitted through a radio propagation channel, comprises the following steps: —weighting (20) of each of the signals received with a weighting vector associated respectively with a respective antenna of the receiver; —combination (22) of the weighted signals received to obtain a combined received signal; —weighting (24) of a reference signal with another weighting vector; —comparison (26) of the combined received signal and the weighted reference signal to obtain an error; and —determination (28) of the weighting vectors with the help of the maximum a posteriori criterion by maximizing the probability of realization of the said weighting vectors conditionally with the error obtained.

Abstract: A method for demodulating a signal in a receiver including at least two antennas, each receiving a signal, the received signals corresponding to a single emitted signal including symbol frames in which certain symbols, referred to as driver symbols, are known to the receiver, the method including: noise whitening in order to form two combined signals, the noise components of which are separate; normalizing the noise components of the combined signals in order to form two signals, the noise components of which are separate and have equal average standards; and performing signal demodulation with the maximum combination of the signal-to-noise ratio on the two signals, the noise components of which are separate and which have equal average standards, wherein during the first noise-whitening step for forming the two combined signals, the latter are determined retroactively using the maximum criterion.

Abstract: A method for demodulating a signal in a receiver including at least two antennas, each receiving a signal, the received signals corresponding to a single emitted signal including symbol frames in which certain symbols, referred to as driver symbols, are known to the receiver, the method including: noise whitening in order to form two combined signals, the noise components of which are separate; normalizing the noise components of the combined signals in order to form two signals, the noise components of which are separate and have equal average standards; and performing signal demodulation with the maximum combination of the signal-to-noise ratio on the two signals, the noise components of which are separate and which have equal average standards, wherein during the first noise-whitening step for forming the two combined signals, the latter are determined retroactively using the maximum criterion.

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: This method for the estimation of a channel between an emitter and a receiver, where the said emitter emits a signal comprising symbol frames distributed in time and frequency, among which pilot symbols known to the receiver, is characterized in that it comprises the following steps: •—computation (30) of a covariance matrix MF and MT of the channel in the frequency and time domains respectively; •—decomposition (32) of the covariance matrices MF and MT into eigenvectors according to the relations MF?WFHNFWF and MT?WTHNTWT; •—computation (34) of the Kronecker product of the matrices NVF and WT to obtain an eigenvector matrix W; •—computation (34) of a diagonal eigenvalue matrix N equal to the Kronecker product of the eigenvalue matrices NF and NT; and •—estimation of the channel with the help of pilot symbols and matrices W and N using the maximum a posteriori or quadratic error minimisation criterion.

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: This method for the estimation of a channel between an emitter and a receiver, where the said emitter emits a signal comprising symbol frames distributed in time and frequency, among which pilot symbols known to the receiver, is characterised in that it comprises the following steps: •—computation (30) of a covariance matrix MF and MT of the channel in the frequency and time domains respectively; •—decomposition (32) of the covariance matrices MF and MT into eigenvectors according to the relations MF?WFHNFWF and MT?WTHNTWT; •—computation (34) of the Kronecker product of the matrices NVF and WT to obtain an eigenvector matrix W; •—computation (34) of a diagonal eigenvalue matrix N equal to the Kronecker product of the eigenvalue matrices NF and NT; and •—estimation of the channel with the help of pilot symbols and matrices W and N using the maximum a posteriori or quadratic error minimisation criterion.

Abstract: This interference reduction method in a receiver (2) comprising at least two antennas (4, 6), each receiving a signal transmitted through a radio propagation channel, comprises the following steps:—weighting (20) of each of the signals received with a weighting vector associated respectively with a respective antenna of the receiver;—combination (22) of the weighted signals received to obtain a combined received signal;—weighting (24) of a reference signal with another weighting vector;—comparison (26) of the combined received signal and the weighted reference signal to obtain an error; and—determination (28) of the weighting vectors with the help of the maximum a posteriori criterion by maximising the probability of realisation of the said weighting vectors conditionally with the error obtained.

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.

Abstract: To reduce interferences in signals received by a receiver through a propagation channel, each including symbols distributed according to frequency and time dimensions and corresponding to a common emitted signal, the receiver weights an estimate of the emitted signal and the received signals by weighting vectors evolving in vector subspaces representing time variations and frequency variations of the channels for propagating the signals between an emitter and the receiver. These vector subspaces are defined by matrices, some columns of which are suppressed as a function of frequency and time constraints of the channel. The receiver minimizes a function of the difference between the sum of weighted received signals and the weighted estimate of the emitted signal in order to estimate the emitted signal as a function of the weighting vectors and the received signals.

Abstract: To reduce interferences in signals received by a receiver through a propagation channel, each including symbols distributed according to frequency and time dimensions and corresponding to a common emitted signal, the receiver weights an estimate of the emitted signal and the received signals by weighting vectors evolving in vector subspaces representing time variations and frequency variations of the channels for propagating the signals between an emitter and the receiver. These vector subspaces are defined by matrices, some columns of which are suppressed as a function of frequency and time constraints of the channel. The receiver minimizes a function of the difference between the sum of weighted received signals and the weighted estimate of the emitted signal in order to estimate the emitted signal as a function of the weighting vectors and the received signals.

Abstract: A signal of OFDM type received in a radio receiver via a propagation channel includes symbols distributed according to frequency and time. The receiver determines likelihoods of the symbols, decodes the received signal to yield a decoded signal as a function of the likelihoods of the symbols, and estimates an instantaneous noise power of the received signal as a function of a difference between the received signal and a reconstructed noise-free signal derived from the decoded signal. A filtering module determines a bounded distribution of the instantaneous noise power as a function of frequency and/or time, and filters the distribution to yield a filtered noise variance as a function of a frequency and/or time parameter of the propagation channel. A corrector weights the likelihoods of the symbols of the received signal to be decoded as a function of the filtered noise variance.