Nokia Solutions and Networks Oy

Nokia Technologies Oy

Silvio Mandelli

Thorsten Wild

Stephan Saur

Jinfeng Du

Jafar Mohammadi

Tsunehiko Chiba

Andreas Weber

Hardy Halbauer

Siegfried Klein

Paolo Baracca

Mark Doll

Simon Borst

Traian Abrudan

Saeed Reza Khosravirad

Leonardo Chiarello

Sarvesh Sanjay Bidkar

Maximilian Arnold

Sem Borst

Johanna Kruse

Mahmoud Ramezani-Mayiami

Marcus Roland Henninger

Alessandro Lieto

Matthew Andrews

Daniel Andrews

An apparatus () for processing radio frequency signals, comprising a first antenna system () having a controllable first antenna characteristic and a second antenna system () having a controllable second antenna characteristic, wherein the first antenna system is configured to operate in a first frequency range, wherein the second antenna system is configured to operate in a second frequency range which is different from the first frequency range.

Apparatus for processing radio frequency signals, network element for a wireless communications system, and user equipment for a wireless communications system

Disclosed is an apparatus comprising means for: detecting an occurrence of a traffic burst event on a flow within a wireless network; responsive to the detection of the occurrence of a traffic burst event, determining whether a traffic burst allowance is available; responsive to determining that the traffic burst allowance is available, scheduling the flow and/or another flow within the wireless network with a traffic burst bit rate at which to transmit data, the traffic burst bit rate being greater than a first, guaranteed bit rate indicated by an assigned quality of service for the flow; and responsive to determining that the traffic burst allowance has been exhausted and/or determining that occurrence of the traffic burst event has stopped, scheduling the flow with the first bit rate.

Apparatus and method for scheduling traffic

An apparatus, including at least one processor, and at least one memory storing instructions, the at least one memory and the instructions configured to, with the at least one processor, cause a network device to determine excess resources available for uplink transmissions to the network device and to use at least a portion of the excess resources for a beam refinement process associated with at least one radio beam usable for an information exchange with at least one terminal device.

Apparatus comprising at least one processor

When sensing is performed in a radio access network, clutter may be removed from echo signals using clutter contributing signals, that may be determined based on clutter calibration matrices and one-dimensional echo signals obtained by transforming multi-dimensional representations of echo signals at least partly into the one-dimensional echo signals. When generating, for example, clutter calibration matrices, sensing results may be transformed into one dimensional vectors, that are arranged to two-dimensional matrices. Vectors associated with clutter components in two-dimensional matrices may be used to obtain the clutter calibration matrices.

Clutter removal

An apparatus, comprising at least one processor, and at least one memory storing instructions, the at least one memory and the instructions configured to, with the at least one processor, cause the apparatus to sample an angular response of a uniform antenna array uniformly in a normalized angular frequency range to obtain a set of angular samples, and to reconstruct an angular response of the uniform antenna array based on the set of angular samples and at least one Dirichlet kernel.

A method comprising controlling sensing operations of one or more access nodes, obtaining information from the sensing operations of the one or more access nodes, receiving, from a device, a request to be provided sensing services, wherein the sensing services are based on the obtained information, determining a sensing quality of service associated with the request, receiving, from the device, information regarding sensing capabilities of the device, and based, at least partly, on the request and the sensing capabilities of the device, determining if the requested sensing services can be provided.

Managing network sensing capabilities in a wireless network

An 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 being configured to, with the at least one processor, cause the apparatus at least to perform determining, per a communication service to which resources are to be allocated, a metric value using a first predefined set of rules, determining, per a sensing service to which resources are to be allocated, a metric value using a second predefined set of rules, sorting communication services to which resources are to be allocated and sensing services to which resources are to be allocated based on the metric values to a sorted order using a third rule, and allocating resources for the communication services and the sensing services based on the sorted order.

Allocating resources for communication and sensing services

According to an example aspect of the present invention, there is provided a method comprising determining that a first mobile terminal is a personal device, receiving, from the first mobile terminal, information about a status of the first mobile terminal, determining whether the first mobile terminal is a Vulnerable Road User, VRU, with respect to a vehicle based at least partly on the received information about the status of the first mobile terminal, detecting a potential collision between the first mobile terminal and the vehicle when the first mobile terminal is determined as a VRU and transmitting at least one warning message to the first mobile terminal in case that the first mobile terminal is determined as a VRU and the potential collision is detected.

Improving operation of wireless communication networks for detecting vulnerable road users

A modulation and coding scheme for a transmission to an apparatus may be selected by at least sampling a posteriori probability distribution that has been calculated using a first probability distribution and a second probability distribution. The first probability distribution is calculated using at least a newest first feedback and a plurality of older first feedbacks, a first feedback indicating channel quality. The second probability distribution is calculated using at least a newest second feedback and a plurality of older second feedbacks, a second feedback indicating a success or failure of an earlier transmission transmitted from the apparatus.

Selecting modulation and coding scheme

To configure a wireless sensor network, a sink node receives from nodes first reports, a first report from a node indicating quality of service requirement of the node and battery information of the node, and second reports, a second report from a node indicating at least a signal strength of one signal received from another node. The information in the first reports and in the second reports are used for determining paths from the nodes to the sink node, wherein a path of a node is either a direct link from the node to the sink node or the path comprises at least one node acting as a cluster head between the node and the sink node.

Configuring wireless sensor network paths

In certain embodiments, a 5G RAN network has a distributed unit (DU) connected to at least one remote unit (RU) via a transport network (TN) that handles both mobile front-haul (MFH) traffic between the DU and the RUs as well as non-MFH traffic with other end users. A radio scheduler in the DU is configured to perform medium access control (MAC) scheduling for the mobile user traffic, while a TN scheduler in the transport network is configured perform TN scheduling for both the MFH and non-MFH traffic. The TN scheduler is configured to transmit information (e.g., MFH data-rate limits) to the radio scheduler that the radio scheduler uses to perform its subsequent MAC scheduling.

Radio MAC scheduling based on front-haul transport capacity constraints

An overload control mechanism involving at least an intra slice instance and two or more inter slice instances is disclosed. The inter slice instance is monitoring how two or more network slices use resources. If the use is not within slice constraints, the intra slice instance determines, per a network slice, an amount of resources to be released by the network slice; and causes commanding network slices to release resources correspondingly. An intra slice instance is configured at least to determine, in response to detecting reception of a command to release resources or that one or more of flows do not reach quality of service level, an amount corresponding to resources missing to satisfy quality of service requirements of active flows; sorting flows to an order according to a predetermine sorting rule for flows; and releasing resources flow by flow according to the order.

Overload control mechanism

Disclosed is a method comprising obtaining one or more future position estimates of a terminal device, and transmitting the one or more future position estimates to a base station and/or to a location management function, wherein the one or more future position estimates are transmitted in a message comprising a list of one or more pairs of a timestamp and an estimated future position at a time indicated by the timestamp.

Future position estimation for improved reliability of connectivity

A 5G network communicates per-slice constraints for QoS parameter values from a centralized unit (CU) to a MAC scheduler of a distributed unit (DU). The CU communicates these per-slice constraints, rather than or in addition to per-DRB constraints, to the MAC scheduler over the CU/DU interface. In some implementations, the CU/DU interface is an F1 air interface as defined in specification 38.473 in the 3GPP standard. In some implementations, the DU provides per-slice performance feedback over the CU/DU interface. Based on such feedback, the CU may adjust the per-slice QoS constraints.

Growing community of inventors

Tamm, Germany

Silvio Mandelli