Nokia Technologies Oy

Nokia Solutions and Networks Oy

Dani Johannes Korpi

Mikko Aleksi Uusitalo

Mikko Johannes Honkala

Karthik Upadhya

Martti Johannes Moisio

Tero Johannes Ihalainen

Janne Matti Juhani Huttunen

Athul Prasad

Leo Karkkainen

Leo Mikko Johannes Kärkkäinen

Janne Huttunen

Mika Kasslin

Olli Alanen

Jakob Hoydis

Faycal Ait Aoudia

Rafhael Amorim

Leo Kärkkäinen

Chenhui Ye

Adrian Garcia Rodriguez

Paolo Baracca

Lorenzo Galati Giordano

Saeed Reza Khosravirad

Vesa Starck

Andrea Bedin

Muhammad Irfan Ali

Karri Lindeman

Kursat Mestav

Yunchou Xing

Iraja Saniee

Wen Liang Qi

Leo KÄRKKÄINEN

Adrian Jose Garcia Rodriguez

An apparatus for a receiver is provided, said apparatus comprising means for receiving an input signal, based on a frequency domain signal, means for performing deprecoding on the received input signal and means for providing the deprecoded signal as an input for a machine learning model, wherein the output of the machine learning model is a likelihood ratio.

Apparatus and method for deprecoding a signal for a machine learning model

There is disclosed an apparatus. The apparatus comprises means for performing: in response to detecting a jamming signal, obtaining a sample waveform of the jamming signal; and sending information of the jamming signal to another apparatus.

Jamming signal cancellation

Disclosed is a method comprising measuring a first power value in a first channel before transmitting a first signal in a second channel A first transmit power value is then determined for transmitting the first signal in the second channel. In addition, a second power value in the first channel is estimated, while transmitting the first signal in the second channel, wherein the second power value is estimated based on at least the measured first power value and the first transmit power value. Further, a third power value is measured in the first channel, while transmitting the first signal in the second channel.

Estimating signal leakage for multi-channel operation

An apparatus is disclosed, the apparatus comprising a means for receiving selection of a relay system associated with a base station () of a communications network, the relay system comprising a first antenna () for substantially fixed orientation towards an antenna () of the base station and a second antenna () which is mechanically movable about one or more axes responsive to the control data to provide one of a range of possible orientations. The apparatus may also comprise a means for sending control data to the selected relay system for controlling the orientation of the second antenna, the control data comprising at least positioning instructions received from a node of the communications network for causing positioning of the second antenna to a particular orientation associated with a mobile target object ().

Relaying communications with mobile objects

Devices, methods and computer programs for a transformer-based decoder for channel state information compression are disclosed. At least some example embodiments may allow at least some of the example embodiments described herein may allow a lightweight general purpose, high-fidelity, and data-driven decoder for channel state information (CSI) array compression associated with massive multiple-input and multiple-output (MIMO).

Transformer-based decoder for channel state information compression, and related devices, methods, and computer programs

There is provided an apparatus including circuitry configured for performing: receiving radio transmission parameters for a set of base stations to transmit at least one data packet over same time-frequency physical resource blocks to the apparatus, the apparatus located in a first cell which is adjacent to a cell of at least one base station of the set of base stations; and receiving, in a data session, the at least one data packet at the apparatus; using the at least one data packet and the radio transmission parameters for interference cancellation for data signals received at the apparatus from user devices in the first cell.

Apparatus, method and computer program for interference cancellation

In some examples, a node for a telecommunication network includes a neural-network-based receiver for uplink communications. The node is configured to modify the neural-network-based receiver to generate a set of modified receiver frameworks defining respective different versions for the receiver, using each of the modified receiver frameworks, generate respective measures representing bits encoded by a signal received at the node, calculate a value representing a variance of the measures, and on the basis of the value, determine whether to select the signal received at the node for use as part of a training set of data for the neural-network-based receiver.

Neural-network-based receivers

An apparatus, method and SW for HARQ control are disclosed. The method includes: analyzing () a beginning part of a data packet received on a specific frequency band and in a scheduled slot between a user apparatus and a radio access network to predict a success of decoding the data packet after received in full; and controlling () a hybrid automatic repeat request procedure associated with the data packet based on the predicted success using the specific frequency band and the scheduled slot for full-duplex inband signaling.

Apparatus, method and SW for HARQ control

An apparatus and method for selecting a plurality of terminal devices for uplink and downlink transmissions are described. A first terminal device is selected from a first group of terminal devices. A reinforcement learning agent is used for selecting the first terminal device based at least on data rates of the terminal devices of the first group and data rates of the terminal devices of a second group. The selected first terminal device is transferred from the first group of terminal devices to the second group of terminal devices. One group of terminal devices is scheduled for downlink transmission and the other group of terminal devices is scheduled for uplink transmission.

Method and apparatus for selecting plurality of terminal devices for uplink and downlink transmissions

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.

Radio receiver

Examples of the disclosure relate to receiver apparatus and corresponding transmitter apparatus that can be configured in different operational states at different times. An example receiver apparatus comprises a plurality of downconverting means for downconverting separate antenna signals, one or more analog to digital converters, and one or more multiplexing means configurable in at least a first configuration and a second configuration. When the multiplexing means is configured in the first configuration the plurality of downconverting means and the one or more analog to digital converters are configured to enable separate antenna signals to be combined to provide hybrid beamforming or analog beamforming. The hybrid beamforming or analog beamforming can be provided across the bandwidth of the apparatus. When the multiplexing means is configured in the second configuration the plurality of downconverting means and the one or more analog to digital converters are configured to enable separate antenna signals to be used to enable digital beamforming. The digital beamforming can be provided across a sub-section of the bandwidth.

Receiver apparatus and transmitter apparatus

As solution for selection of power control parameters is presented. The solution comprises determining, from a given set of radio access network parameters, a selection of radio access network parameters which have an effect on uplink power control, and training a neural network to determine uplink power control parameters, utilising as an input the selection of radio access network parameter, and utilising the trained neural network, with as an input the selection of radio access network parameters, obtain as an output a set of initial uplink power control parameters.

Selection of power control parameters

An apparatus, method and computer program product for: receiving information relating to data consumption characteristics of at least one user device, predicting, based on the received information, at least one data consumption area at a first point in time, determining one or more data transmission modes based on the received information and the predicted at least one data consumption area and instructing at least one communication network element to provide data transmission at the first point in time according to the determined data transmission mode.

Data transmission

An apparatus and method is disclosed, in which the apparatus comprising circuitry configured for: estimating or determining a future communications state for each of a plurality a mobile devices K associated with a base station, the future communications state being indicative of the mobile device communicating in an uplink to a base station or in a downlink from the base station at a future time slot t or being idle and also determining a target position of at least one of the mobile devices, based at least partly on its estimated communication state, for enabling re-positioning of said at least one mobile device to the determined target position substantially at said future time slot t.

Determining target positions of mobile devices

This document discloses a solution for detecting interference in a radio access network. According to an aspect, a method includes as performed by a network node of the radio access network: acquiring a first equalized signal representing a signal received by a first radio head serving a terminal device, the first equalized signal including a signal received by the first radio head from the terminal device; acquiring a second equalized signal representing a signal received by a second radio head not serving the terminal device, wherein the second radio head is spatially distant from the first radio head; cross-correlating the first equalized signal with the second equalized signal and determining, on the basis of said cross-correlating, whether or not the second equalized signal also includes a signal received from the terminal device; and as a result of the second equalized signal being determined to include the signal received from the terminal device, causing execution of an interference management action.

Growing community of inventors

Helsinki, Finland

Dani Johannes Korpi