Nokia Technologies Oy

Nokia Corporation

Nokia Solutions and Networks Oy

Leo Mikko Johannes Kärkkäinen

Mikko Johannes Honkala

Mikko Aleksi Uusitalo

Asta Maria Karkkainen

Mikko-Ville Laitinen

Koray Ozcan

Zoran Radivojevic

Akos Vetek

Dani Johannes Korpi

Timothy J Mellow

Janne Matti Juhani Huttunen

Zexian Li

Athul Prasad

Alan Colli

Antti Niskanen

Samiul Md Haque

Pirjo Pasanen

Joni Jorma Marius Jantunen

Troels Roennow

Sampo Vesa

Jani Matti Johannes Moilanen

Reijo Kalervo Lehtiniemi

Lauri Ilari Kuru

Johan Bergquist

Khan Baykaner

Teemu Mikael Veijalainen

Asta Maria Kärkkäinen

Tuomo Latva-Käyrä

Philip Gordon Derrick

Mathias Berglund

Reijo Kalvero Lehtiniemi

Pirjo Marjaana Pasanen

Harri Aukusti Lasarov

Asta Maria Karkkaainen

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

According to an aspect, a method in the radio head comprises receiving a reference signal from a terminal device, and computing a channel estimate on the basis of the reference signal and transferring the channel estimate with a first precision level to the network node over a link between the radio head and the network node. The first precision level defines a first number of bits carrying the channel estimate, then the method determines to change the precision level and, in response to the determining, transfers the channel estimate or a further channel estimate with a second precision level to the network node. The second precision level defines a second number of bits carrying the channel estimate or the further channel estimate, the second number being different from the first number.

Transfer of channel estimate in radio access network

An apparatus comprises: at least one processor; and at least one memory including computer program code; the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to: use a first base station central unit coupled to a first base station distributed unit in dependence on a computational capacity of the first base station central unit.

Apparatus, method and computer program

A technique may include receiving, from one or more sensors, sensor data samples; receiving radio network information data samples associated with a radio network; determining one or more associated sensor and radio network information data samples based on an association of one or more received sensor data samples with one or more of the received radio network information data samples; selecting at least some of the one or more associated sensor and radio network information data samples that are relevant to performance of the radio network; and forwarding the selected associated sensor and radio network information data samples for subsequent use.

Associating and storing data from radio network and spatiotemporal sensors

According to an example aspect of the present invention, there is provided an apparatus comprising at least one processing core, at least one memory including computer program code, the at least one memory and the computer program code being configured to, with the at least one processing core, cause the apparatus at least to obtain a document, segmented into a first number of segments (), obtain the first number of outputs of a cryptographic operation, such that for each output, a random value and a document segment are employed to generate an input to the cryptographic operation (), build a Merkle tree based on the outputs of the cryptographic operation (), and store a top hash of the Merkle tree in a block chain ().

Secure document management

Methods, apparatuses, and computer program products are provided in order to provide 3D audio playback using audio head-mounted devices. The apparatuses may be configured to receive at least one of position and orientation of a first head-mounted device in relation to a first user device, wherein the at least one of the position and orientation received is used to train a model using machine learning. At least one signal quality parameter may be determined based on input data and a filter pair may be determined corresponding with a direction to which a spatial audio signal is rendered based at least in part on the at least one signal quality parameter and the model so as to control spatial audio signal reproduction to take effect a change in the at least one of the position and orientation of the first head-mounted device during rendering of the spatial audio signal.

Methods and apparatuses for implementing a head tracking headset

A method includes accessing, by at least one processing device, an audible signal including at least one in-ear microphone audible signal and at least one external microphone audible signal and at least one noise signal; training a generative network to generate an enhanced external microphone signal from an in-ear microphone signal based on the at least one in-ear microphone audible signal and the at least one external microphone audible signal; and outputting the generative network.

Enabling in-ear voice capture using deep learning

Methods and apparatus, including computer program products, are provided for receiving, at a bidirectional recurrent neural network, a music file preprocessed to include at least one token data inserted within at least one location in the music file in order to enable varying the music file; generating, by the bidirectional recurrent neural network, an output music file, wherein the bidirectional recurrent neural network generates music data to replace the at least one token data; and providing, by the bidirectional recurrent neural network, the output music file representing a varied version of the music file. Related apparatus, systems, methods, and articles are also described.

Generating using a bidirectional RNN variations to music

An apparatus including an electronic display and a stationary part, the stationary part configured to overlie the display face of the electronic display such that the display face of the electronic display is positioned behind the stationary part, the electronic display/display face configured to vibrate with respect to the stationary part, vibration of the electronic display/display face configured to displace air adjacent to the plane of the electronic display to generate sound waves in the direction of the stationary part, wherein the stationary part is substantially acoustically transparent and configured such that the sound waves generated by the vibrations are able to radiate through the stationary part.

Apparatus having an acoustic display

In accordance with an example embodiment of the present invention, a device comprising one or more porous graphene layers, the or each graphene porous layer comprising a multiplicity of pores. The device may form at least part of a flexible and/or stretchable, and or transparent electronic device.

Graphene device and method of fabricating a graphene device

In an embodiment an apparatus includes a graphical display panel and a loudspeaker. The panel has a display layer for displaying images and defines a plurality of apertures penetrating through at least the display layer. The loudspeaker includes a diaphragm arranged substantially parallel to the display layer. Sound from the loudspeaker diaphragm is directed outside a host device through the apertures. The speaker may be an electret or a piezo-electric speaker for thinness. There may be apertures on an opposed side of the host device housing to achieve a dipole pattern which is directed and gives acoustic privacy to the user, or a rear acoustic cavity for a monopole pattern which more broadly disperses the sound. One illustrated embodiment is selectable between monopole and dipole. Size and total area of the holes determines acoustic resistance and so a method is described to determine those from physical parameters of the display panel.

Apparatus and method for sound reproduction

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Helsinki, Finland

Leo Mikko Johannes Kärkkäinen