Nokia Technologies Oy

Nokia Solutions and Networks Oy

Keeth Saliya Jayasinghe Laddu

Timo Koskela

Ilkka Antero Keskitalo

Juha Sakari Korhonen

Matha Deghel

Esa Tapani Tiirola

Mihai Enescu

Youngsoo Yuk

Sami-Jukka Hakola

Juha Pekka Karjalainen

Yi Zhang

Samuli Heikki Turtinen

Nitin R Mangalvedhe

Jingyuan Sun

Sami Hakola

Philippe R Sehier

Amir Mehdi Ahmadian Tehrani

Sanjay Goyal

Fanny Jardel

Laddu Praneeth Jayasinghe

Zexian Li

Wolfgang Zirwas

Ahmad Awada

Klaus Hugl

Salah Eddine Hajri

Mark Conrad Cudak

Esa Mikael Malkamäki

Amaanat Ali

Thorsten Wild

Ping-Heng Kuo

Rana Ahmed Salem

Luca Rose

Rakash Sivasiva Ganesan

Panagiotis Spapis

Filippo Tosato

Nhat-Quang Nhan

Ali Karimidehkordi

Qiping Zhu

Esa Malkamäki

Xiaomao Mao

Sajad Rezaie

Andrea Bonfante

Yuk Youngsoo

Kevin Wanuga

Rana Ahmed

There is provided a method to operate a downstream IAB, Integrated Access and Backhaul, node of an IAB network, is provided, wherein the method comprises: receiving a first radio resource configuration that indicates a use of radio resources by the upstream IAB node and by at least one radio node served by the upstream IAB node; determining a second radio resource configuration or the downstream IAB node in dependence on the first radio resource configuration; and communication with at least one radio node, which is served by the downstream IAB node, via radio resources according to the second radio resource configuration.

Downstream IAB node, method to operate a downstream IAB node, upstream IAB node, method to operate an upstream IAB node

A method, apparatus, and a computer-readable storage medium are provided for improved transport block size (TBS) indication and channel quality indicator (CQI) reporting for lower target block error ratios (BLERs). In an example implementation, the method may include a user equipment configuring a plurality of transport block sizes, activating one or more transport block sizes of the plurality of transport block sizes, and determining a first transport block size from an indication received from a network node when more than one transport block sizes of the one or more transport block sizes are activated. The method may further include determining, a second transport block size, the second transport block size determined based at least on the one or more transport block sizes that are activated and the first transport block size, and receiving a downlink transmission from the network node with the second transport block size. In an additional example implementation, the method may include a user equipment determining a channel quality indicator based at least on a physical downlink shared channel received from a network node and transmitting the channel quality indicator to the network node.

TBS indication and CQI reporting for lower BLER targets

Methods and apparatus, including computer program products, are provided for control channel monitoring. In some example embodiments, there may be provided a method that includes receiving, at user equipment, an indication of a codepoint activation, wherein the codepoint activation indicates that a transmission configuration indicator state being activated is associated with a second physical cell identifier different from a first physical cell identifier of a serving cell of the user equipment, and in response to the transmission configuration indicator state being activated in association with the second physical cell identifier, suspending control channel monitoring of at least one set of core resources associated with the first physical cell identifier of the serving cell of the user equipment. Related systems, methods, and articles of manufacture are also disclosed.

Control channel monitoring rules for inter-cell beam management

Example embodiments provide improved spatial beam predictions based on multiple assistance information parameters. An apparatus may be configured to configure a plurality of subspaces and corresponding machine learning models based on a dataset comprising multiple assistance information parameters, select a subset of the subspaces for inference by the machine learning models based on available assistance information, and determine a preferred spatial beam prediction based on the inferences. Apparatuses, methods, and computer programs are disclosed.

Apparatuses and methods for spatial beam prediction with multiple assistance information

Systems, methods, apparatuses, and computer program products for beam group-based downlink transmit beam indication. Certain embodiments may provide enhancements related to physical layer design for multiple input multiple output and/or enhancements for a beam indication framework for scenarios with multiple transmission reception points and user equipment equipped with multiple antenna panels. A network node may transmit, and a user equipment may obtain, information indicating that one or more activated transmission configuration indictor states are associated with a set of beam groups.

Beam group-based downlink transmit beam indication

Systems, methods, apparatuses, and computer program products for flexible TCI state indications. An apparatus may include 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 apparatus at least to receive, on a CORESET belonging to a first CORESET group, DCI indicating at least one TCI state. One or more of the at least one TCI states may be mapped to at least a second CORESET group.

Flexible TCI state indication under unified TCI framework

Systems, methods, apparatuses, and computer program products for the acquisition and provision of channel state information for a target cell early in the process of layer one/layer two inter-cell mobility are provided. For example, a method can include a user equipment receiving a first configuration of layer one measurement and reporting together with a second configuration for channel state information measurement and reporting for a candidate cell. The method can also include reporting layer one measurement according to the first configuration. The method can further include performing channel state information measurements according to the second configuration. The method can additionally include reporting the channel state information measurements to a network element to be forwarded to the candidate cell.

Early channel state information acquisition for target cell in layer one / layer two inter-cell mobility

According to an example aspect of the present invention, there is provided a method comprising, determining at least one anchor control resource set among a plurality of control resource sets, wherein each of the at least one anchor control resource set defines a spatial source for multiple signal types, said multiple signal types comprising different downlink and uplink signals and channels, determining whether or not a given signal type is to inherit a spatial source of one of the at least one anchor control resource set and applying, in case of a positive determination, the spatial source of the at least one anchor control resource set for at least one signal of the given signal type.

Beam management in cellular communication networks

In accordance with example embodiments of the invention, a user equipment receives or sends information to trigger model failure detection (MFD), wherein the trigger is based on a machine learning model or machine learning model functionality to initiate an MFD count in a medium access control layer, wherein MFD is using an MFD window in the medium access control layer and wherein one MFD count in the medium access control layer is determined by at least one model failure instances of the machine learning model or model functionality usage in a physical layer; and determining by the user equipment or a network the model failure for the machine learning model or machine learning model functionality when the MFD count in the medium access control layer is equal to or above a maximum model failure count prior to the end of the MFD window in the medium access control layer.

Model monitoring procedure for beam prediction use case

According to an example aspect of the present invention, there is provided a method which includes detecting a failure. After detecting the failure, determining an association in response to identifying a new candidate beam for beam failure recovery, wherein the association is between a control resource set and at least one of a particular index and a beam failure recovery request. The method may also include transmitting a failure recovery request based on the association.

Failure recovery in cellular communication networks

Embodiments of the present disclosure disclose devices, methods and apparatuses for power allocation for PRACH transmission. An apparatus comprising at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: determine a power allocation priority for an uplink transmission, based at least on determining at least one of: the uplink transmission is associated with a cell configured for layer 1 or layer 2 triggered mobility, or the uplink transmission is not associated with a serving cell; and perform the uplink transmission based on the determined power allocation priority for the uplink transmission, wherein the uplink transmission comprises at least one of a physical random access channel transmission or a sounding reference signal transmission.

Priority for the power allocation for PRACH transmission for TA acquisition

Example embodiments of the present disclosure relate to devices, methods, apparatuses and computer readable storage media for dynamic antenna port related configuration. The method comprises: receiving, at a terminal device and from a network device, a first indication of a plurality of subsets of antenna ports; and receiving, at the terminal device and from the network device, a second indication of disabling at least one of the plurality of subsets of antenna ports.

Spatial configuration adaptation

Techniques of performing CSI reporting include identifying a cluster of TRPs sharing common information in their CSI and transmitting a complete CSI report to a selected TRP of the cluster while transmitting partial CSIs reports to other TRPs of the cluster. Along these lines, in an example implementation, a UE receives a CSI-RS from a network, with the CSI-RS carrying a plurality of reference symbols from a plurality of TRPs. Based on the plurality of symbols, the UE generates TRP data representing CSI feedback for each of the TRPs. From the CSI feedback, the UE identifies, as a cluster, a subset of the TRPs that share common information within the CSI feedback. The UE then sends first identification data identifying the subset of the TRPs that make up the cluster to the network.

Channel state information overhead reduction for multi-transmission reception point/panel and cell free multiple input, multiple output

According to one example embodiment, a method may include receiving, by a user equipment, at least one network entity failure indication configuration. The method may further include detecting, by the user equipment, that at least one first network entity satisfies at least one beam-failure condition. The method may further include selecting, by the user equipment, one or more of at least one resource and at least one parameter based on the at least one received network entity failure indication configuration. The method may further include transmitting, by the user equipment, the at least one indication of the at least one first network entity that satisfies the at least one beam-failure condition to at least one second network entity.

Transmission reception point-specific beam failure indications in multi-transmission reception point scenarios

In some example embodiments, there may be provided a method that includes receiving, by a user equipment, at least a reporting configuration from a network, wherein the reporting configuration is associated with at least a first group of channel measurement resources to be measured by the user equipment and a second group of channel measurement resources for which beam indexes or beam measurements are predicted by a machine learning model comprised at the user equipment; providing, as an input to the machine learning model comprised at the user equipment, at least a first set of measurements on the first group of channel measurement resources; and reporting, to the network, channel measurement information, wherein the channel measurement information contains at least an index representing a channel measurement resource of the second group of channel measurement resources. Related systems, methods, and articles of manufacture are also disclosed.

NR framework for beam prediction in spatial domain

Growing community of inventors

Espoo, Finland

Keeth Saliya Jayasinghe Laddu