Institut Mines-telecom

Aymen Askri

Ghaya Rekaya

Ghaya Rekaya Ben-Othman

Chao Zhang

A precoder for precoding a vector of information symbols to be sent to a plurality of users, the precoder includes a user ordering and grouping unit configured to group the plurality of users depending on one or more quality of service indicators and on modulation and coding parameters associated with the plurality of users, the user ordering and grouping unit being configured to divide a predefined upper triangular precoding matrix into a plurality of sub-matrices and to divide the vector of information symbols into a plurality of sub-vectors, each sub-vector comprising information symbols to be sent to a group of users, the sub-vectors being arranged according to an arbitrary order of the one or more quality of service indicators; a precoding unit configured to determine a perturbation vector according to the minimization of a transmit power metric, the perturbation vector comprising a plurality of perturbation sub-vectors, each perturbation sub-vector corresponding to a sub-vector of information symbols, the precoding unit being configured to determine an estimate of each perturbation sub-vector by applying a recursive search algorithm.

Devices and methods for recursive block precoding

A communication system having to an open radio access network architecture, the communication system includes a number (K) of user equipments configured to exchange messages through the communication system, the communication system comprising one or more radio unit and a distributed unit, each radio unit being connected to the distributed unit through a fronthaul link having a given capacity. The communication system comprises a coordination system being configured to coordinate the exchanges between the radio units of the system and the distributed unit, in response to a signal received by the radio units from a user equipment. The coordination system is configured to send a signalling message to each radio unit comprising data stream selection information, each radio unit comprising: a transformation unit configured to apply a transformation operation to the signal vector received by the radio unit, which provides a transformed vector, the transformation operation being defined to reduce the dimension of the received signal vector; a data stream selection unit configured to select a number of data streams corresponding to components of the transformed vector using the data stream selection information comprised in the signalling message, a quantizer configured to apply a quantization operation to the selected data streams, which provides quantized vectors, the radio unit being configured to send the quantized vectors to the distributed unit. The sum of the numbers of data streams selected at the radio units, over all the radio units of the communication system, is higher or equal to the product of the number of user equipments (K) and the number of antennas of a user equipment.

System and method for uplink coordinated transmission in an open radio access network

A precoder for precoding a vector of information symbols is provided. The precoder includes a radius determination unit configured to determine a search sphere radius, the determination of the search sphere radius comprising applying a machine learning algorithm to input data dependent on the vector of information symbols and on a predefined precoding matrix; a sphere encoding unit configured to determine a perturbation vector from lattice points found inside a spherical region by applying a sphere search-based sequential algorithm, the spherical region having as a radius the search sphere radius, and a precoding unit configured to precode the vector of information symbols using the perturbation vector and a precoding matrix.

Devices and methods for machine learning assisted precoding

A decoder for decoding a signal received through a transmission channel represented by a channel matrix using a search sphere radius. The decoder comprises a radius determination device for determining a search sphere radius from a preliminary radius. The radius determination device is configured to: i. apply a machine learning algorithm to input data derived from the received signal, the channel matrix and a current radius, the current radius being initially set to the preliminary radius, which provides a current predicted number of lattice points associated with the current radius; ii. compare the current predicted number of lattice points to a given threshold; iii. update the current radius if the current predicted number of lattice points is strictly higher than the given threshold, the current radius being updated by applying a linear function to the current radius; Steps i to iii are iterated until a termination condition is satisfied, the termination condition being related to the current predicted number, the radius determination device being configured to set the search sphere radius to the current radius in response to the termination condition being satisfied.

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Palaiseau, France

Aymen Askri