Nokia Technologies Oy

Nokia Solutions and Networks Oy

Anna Pantelidou

Samuli Heikki Turtinen

Frank Frederiksen

Malgorzata Tomala

Cinzia Sartori

Hakon Helmers

Janne Ali-Tolppa

Chunli Wu

Tero Henttonen

Ingo Viering

Ahmad Awada

Sean S Kelley

Guillaume Decarreau

Peter Rost

Anatoly Andrianov

Christian Rom

Istvan Zsolt Kovacs

Bernhard Wegmann

Mikko Säily

Krzysztof Kordybach

Philippe R Sehier

Afef Feki

Matha Deghel

Veronique Capdevielle

Borislava Gajic

István Zsolt Kovács

Janne Tapio Ali-Tolppa

Fahad Syed Muhammad

Arto Lehti

Muhammad Majid Butt

Alperen Gundogan

Melisa López

Systems, methods, apparatuses, and computer program products for indicating validity as a function of confidence level. A requesting network entity may receive a prediction request from a requesting network entity that comprises timing information indicating when a prediction needs to be obtained. The receiving entity may then transmit a response to the requesting network entity associated with the requested prediction.

Validity indication as a function of confidence level

There is provided a network apparatus that is caused to receive as part of a handover procedure for handover of a terminal to the network apparatus, metadata about at least one machine learning model accessible for execution and/or training by the terminal, determining whether or not the terminal should execute and/or train the at least one machine learning model after the terminal is handed over to the network apparatus; and signal the result of the determining to the terminal.

Communication system for machine learning metadata

As an aspect, there is provided an apparatus, caused at least to: receive, by a user device from an access node, a measurement configuration for training of a machine learning operations control model, the measurement configuration comprising an indication of at least one parameter to be measured and at least one acceptance condition for measurement values; obtain at least one measurement value; compare the at least one measurement value to the at least one acceptance condition for defining usability of the at least one measurement value for the training, and when the at least one measurement value is usable for the training, carry out the training of the operations control model, and when the at least one measurement value is not usable for the training, transmit the at least one measurement value to the access node.

Machine learning assisted operations control

There is provided an apparatus comprising means for: configuring a measurement collection for one or more pre-determined optimization problems at a first data producer; transmitting a first measurement request to the first data producer, wherein the first measurement request is indicative of requested measurement(s) for the one or more pre-determined optimization problems, time sampling indication and granularity; receiving a measurement response comprising first measurement results corresponding to the first measurement request; and providing the first measurement results to one or more optimization algorithms for solving the one or more pre-determined optimization problems.

Apparatus for radio access network data collection

An apparatus, method and computer program product for: interfacing with at least a first radio access network function and a second radio access network function, sending a first message to the first radio access network function and a second message to the second radio access network function, the first message and the second message comprising a request to report information based on at least one criterion, receiving the reported information from the first radio access network function and the second radio access network function, and grouping the reported information and providing the grouped information to at least one radio access network optimization algorithm.

Providing information

A method including: receiving, by a multi-panel user equipment from a serving network entity, information indicative of predicted transmissions of reference signals by a serving network entity or target network entity; and applying a panel prioritization strategy for the multi-panel user equipment based on the received information indicative of predicted transmissions of reference signals.

Panel prioritization for multi panel user equipment

An apparatus comprising means for performing: determining information comprising: a rate of failure for random access channel attempts in at least one cell controlled by the apparatus; and/or a number of successful random access channel attempts in the at least one cell controlled by the apparatus and a number of failed random access channel attempts in the at least one cell controlled by the apparatus; and sending the information from the apparatus to a second apparatus.

Apparatus, method and computer program for sending random access channel information

Example embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media of enhancing a report for random access channel (RACH). The method comprises in accordance with a determination that a random access attempt in a random access process for accessing a second device based on configuration information is performed, determining an entry for recording the random access attempt, the entry at least comprising fallback information indicating whether a change associated with the random access attempt has occurred; generating a report for the random access process at least based on the entry; and causing the report to be transmitted to the second device. In this way, with the UE RACH report, the network device may achieve a targeted optimization for the configuration for RA process, which may improve the efficiency of the RA process and decrease the cost due to a multiple of fallback.

Enhanced report for random access channel

An apparatus is provided, the apparatus being connectable to at least one user equipment by a radio connection, and being connectable to at least one centralized unit, the apparatus comprising 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 perform: sending to at least one centralized unit sharing information which concern information about sharing of same physical radio resources of the apparatus with more than one centralized unit.

Collaborative neighbour relation information

Systems, methods, apparatuses, and computer program products for handling multiple minimization of drive test (MDT) contexts for uses in radio resource controller (RRC) states. One method may include receiving, from a network element, a logged measurement configuration including specific configuration content for a user equipment differentiated per and depending on a connection state of the user equipment. The method may also include performing logging of a measurement per the user equipments state according to the specific configuration content in the logged measurement configuration. The method may further include transmitting a report of the logged measurement pertaining to one of the user equipment states, to the network element. The specific configuration content may restrict the logging according to one or more of a network-based selection criteria, and user equipment-based selection criteria.

Handling of multiple minimization of drive test contexts in multiple radio resource controller states

An example method, apparatus, and computer-readable storage medium are provided for radio resource control (RRC) procedures for machine learning (ML). In an example implementation, the method may include receiving, by a user equipment (UE), machine learning (ML) configuration from a network node; collecting, by the user equipment (UE), machine learning (ML) data based at least on the machine learning (ML) configuration received from the network node, the machine learning (ML) data being collected from one or more layers of the user equipment (UE) in a coordinated manner; and transmitting, by the user equipment (UE), the collected machine learning (ML) data to the network node. In another example implementation, the method may include transmitting, by a network node, machine learning (ML) configuration to a user equipment (UE); and receiving, by the network node, machine learning (ML) data from the user equipment (UE), the machine learning (ML) data received in response to the machine learning (ML) configuration transmitted to the user equipment (UE).

Radio resource control procedures for machine learning

Disclosed is a solution for managing a radio map based on radio fingerprinting measurements. A method comprises: acquiring a radio map of an area, the radio map based on radio frequency measurements performed between at least one access node of a wireless network and terminal devices within the area; detecting at least one gap in the radio map and determining geographical coordinates of the at least one gap; causing transmission of a message comprising at least one information element requesting for additional measurements and comprising the geographical coordinates of the at least one gap; in response to the message, receiving at least one radio frequency measurement report related to at least one terminal device and comprising radio frequency measurement data and at least one measurement location where the radio frequency measurement data has been measured; and updating the radio map on the basis of the radio frequency measurement data.

Radio map improvements

According to an example embodiment, a method may include logging, by a user equipment, random access procedure information for one or more random access procedures of the user equipment; controlling receiving, by the user equipment from a base station, an information request including an indication of one or more random access procedure trigger types for which random access procedure information is being requested; and controlling sending, by the user equipment to the base station, a random access procedure report including the random access procedure information for the one or more indicated random access procedure trigger types.

Random access procedure reporting and improvement for wireless networks

Systems, methods, apparatuses, and computer program products for distinguishing minimization of drive tests (MDT) logging through different radio resource controller (RRC) states. One method may include receiving, from a network element, a logged measurement configuration comprising specific content for a user equipment depending on a connection state of the user equipment. The method may also include validating the logged measurement configuration, wherein the validating is embodied by the network element prior to transitioning to a different user equipment state, or by a user equipment after entering a logging state, for which the logged measurement configuration was designated. The method may further include performing logging of a measurement according to the content of the logged measurement configuration. In addition, the method may include tagging the logged measurement. The method may also include transmitting the tagged logged measurement to the network element.

Distinction of minimization drive test logging through different radio resource controller states

There is provided an apparatus, said apparatus comprising means for determining for at least one of a plurality of user equipments, based on an activation probability value of some or all of the plurality of user equipments, uplink resources for use by the at least one user equipment; and providing an indication of the determined uplink resources to the at least one user equipment.

Growing community of inventors

Massy, France

Anna Pantelidou