Abstract: According to an example embodiment, a radio receiver is configured to: obtain a data array including a plurality of elements, wherein each element in the plurality of elements in the data array corresponds to a sub-carrier in a plurality of subcarriers, to a timeslot in a time interval, and to an antenna stream; implement a machine learning model including at least one neural network and a transformation, wherein the transformation includes at least one multiplicative layer or equalisation; and input data into the machine learning model, wherein the data includes at least the data array; wherein the machine learning model is configured to, based on the data, output an output array representing values of the plurality of elements in the data array, wherein the values include bits or symbols. A radio receiver, a method and a computer program product are disclosed.

Abstract: According to an example embodiment, a radio receiver includes at least one processor and at least one memory including computer program code. The at least one memory and the computer program code may be configured to, with the at least one processor, cause the radio receiver to: obtain a data array including a plurality of elements, wherein each element in the plurality of elements in the data array corresponds to a subcarrier in a plurality of subcarriers and to a timeslot in a time interval; obtain a reference signal array representing a reference signal configuration applied during the time interval; implement a neural network; input data into the neural network, wherein the data includes at least the data array and the reference signal array. A radio receiver, a method and a computer program product are disclosed.

Abstract: There is provided a solution for employing a neural network in a radio receiver. According to an aspect, a method comprises: acquiring, from a received frame, a set of samples associated with a position of a control information element in the frame; inputting the set of samples to nodes of an input layer of a neural network, the input layer having the same number of nodes as a number of samples in the set of samples; processing the set of samples in the neural network that has been trained, before receiving the set of samples, to decode one or more determined values of the control information element and to detect discontinuous transmission; outputting, in an output layer of the neural network, an indicator indicating a decoded value of the control information element comprised in the set of samples or an indicator indicating the discontinuous transmission.

Abstract: There is provided a solution for employing a neural network in a radio receiver. According to an aspect, a method comprises: acquiring, from a received frame, a set of samples associated with a position of a control information element in the frame; inputting the set of samples to nodes of an input layer of a neural network, the input layer having the same number of nodes as a number of samples in the set of samples; processing the set of samples in the neural network that has been trained, before receiving the set of samples, to decode one or more determined values of the control information element and to detect discontinuous transmission; outputting, in an output layer of the neural network, an indicator indicating a decoded value of the control information element comprised in the set of samples or an indicator indicating the discontinuous transmission.