Nokia Solutions and Networks Oy

Chandrashekhar Thejaswi

Suresh Kalyanasundaram

Rajeev Agrawal

Francis Dominique

Karthik Kuntikana Shrikrishna

Anand Bedekar

Afef Feki

Veronique Capdevielle

Hua Xu

Claudiu Mihailescu

Deepak Kumar Nayak

Boris Kouassi

Lele Shen

Embodiments of the present disclosure relate to a method, an apparatus and a computer readable storage medium for generating soft-decision information for a receiver. In example embodiments, a method is provided. The method includes receiving, at a first device, a signal from a second device, the signal corresponding to a group of symbols transmitted from the second device; determining, by performing Lattice Reduction linear detection on the signal, a first group of estimated symbols for the group of symbols; determining, by performing iterative interference cancellation on the first group of estimated symbols, a second group of estimated symbols for the group of symbols; and generating, based on the second group of estimated symbols, soft-decision information about the group of symbols for use by a decoder at the first device. Embodiments of the present disclosure can improve the receiver performance with reduced complexity.

Soft-decision information generation for receiver

Systems, methods, apparatuses, and computer program products for determining a grid-of-beams (GoB) are provided. One method may include collecting network data for training a neural network, train the neural network, using the collected data, to learn a non-discounted cumulative reward Q that evaluates a benefit of including a given beam into a grid-of-beams (GoB), iteratively applying the trained neural network to select at least one optimal beam to include in the grid-of-beams (GoB), and selecting one or more beams from the grid-of-beams (GoB) to transmit to a user equipment or to receive transmission from the user equipment.

Apparatus and method for designing a grid-of-beams using machine learning

An apparatus is disclosed, comprising means for identifying a plurality of user equipment (UE), each transmitting one or more uplink packets for decoding at a base station associated with a given cell of a radio network. The apparatus further comprises means for clustering the identified user equipment into joint processing groups, each joint processing group comprising the identities of two or more user equipment as clustered and means for performing, in a first processing stage, joint processing of the uplink data streams for identified user equipment within common joint processing groups using one or more first processing algorithms to produce corresponding first processed uplink data streams. The apparatus further discloses means for performing one or more subsequent processing stages on the first processed uplink data streams, subsequent to the joint processing, to produce decoded uplink data streams, the one or more subsequent processing stages using one or more second processing algorithms, different from the first processing algorithm.

Processing of uplink data streams

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Bengaluru, India

Chandrashekhar Thejaswi