Abstract: A method and network node for determination of relative orientation of a wireless device (WD) with ultra-fine precision are disclosed. According to one aspect, a method in a network node includes determining spatial coordinates of each antenna of a plurality of antennas of the WD. The method also includes determining the relative orientation of the WD based at least in part on the determined spatial coordinates of the plurality of antennas and based at least in part on a model of relative locations of the plurality of antennas of the WD. According to another aspect, a method in a WD includes changing parameters of operation of the WD to disable a determination of relative orientation of the WD by the network node.

Abstract: A method for determining a radio configuration for a user equipment (UE) in multi-radio dual connectivity (MR-DC) operation is provided. The method includes obtaining information relating to energy for one or both of (i) the UE in MR-DC operation and (ii) one or more nodes involved in the MR-DC operation of the UE. The method includes determining an optimal radio configuration for the UE in MR-DC operation based at least in part on the information relating to energy. The method includes determining a final radio configuration for the UE in MR-DC operation based on the optimal radio configuration.

Abstract: A system and method determine accelerators to execute a function of an application in a computing node, where the application includes a workload steering client. The method includes receiving, by the workload steering client, a workload request from the application identifying a first task, and determining, by the workload steering client, whether the first task has an assigned accelerator. The method further includes requesting, by the workload steering client, the first task to be executed on the assigned accelerator, and returning, by the workload steering client, a result of the first task to the application.

Abstract: Methods and apparatus for dynamically selecting an action to be taken in an environment. A method comprises receiving, at a ML agent hosting the plurality of ML models, information about a state of the environment, wherein the information about the state of the environment comprises safety information, and analysing the safety information to determine a risk value for the state of the environment. The method further comprises selecting one of the plurality of ML models, wherein the selection is based on the determined risk value, and processing the information about the state of the environment using the selected ML model to generate a state prediction. The method also comprises generating one or more suggested actions to be performed on the environment using the state prediction.

Abstract: A method (600) for obtaining information about a structure (101) using a drone (102) equipped with a sensor system (103). The method includes, during a first period of time and while the drone's sensor system is pointing towards the structure, using (s602) the sensor system to obtain first depth data. The method also includes obtaining (s604) a first height value, Z1, indicating or being based on the height of the drone above a bottom point of the structure during the first period of time. The method also includes using (s606) the first depth data to determine a first vertical coordinate representing a top point of the structure. The method further includes estimating (s608) a height of the structure, wherein estimating the height of the structure comprises using the first vertical coordinate and the first height value, Z1, to estimate the height of the structure.

Abstract: A method of managing plural cloud virtualisation layers in a communication network, the method comprising: receiving, from a tenant, a service request to execute an application on a host resource, wherein the service request comprises input parameters; determining, based on the input parameters, that execution of the application on the host resource requires plural cloud virtualisation layers; responsive to determining that execution requires plural cloud virtualisation layers, generating a layout of virtualisation layer components for the plural cloud virtualisation layers; and assigning the application to a virtualisation layer component based on the input parameters.

Abstract: A method and agent for reinforcement learning. The method may include evaluating a consequence of a previous action. Evaluating the consequence may include performing a comparison of one or more current monitored parameters (e.g., immediate reward, accumulated reward, average reward, and/or current key performance parameters) to one or more previous monitored parameters. The method may include, based on the evaluated consequence of the previous action, determining a subset of potential next actions. For a positive consequence, the determined subset of potential next actions may include only potential next actions that are likely to have the consequence as the previous action (e.g., based on a dot product of or angle between vectors of the previous action and the potential next action). The method may include selecting an action from the determined subset of potential next actions. The method may include performing the selected action.

Abstract: There is provided mechanisms for performing a beam finding procedure with a serving access network node. A method is performed by a user equipment. The method comprises receiving, as part of performing the beam finding procedure, at least two SSBs. Each of the at least two SSBs comprises a PSS and an SSS. In each of the SSBs, the PSS comprises a PSS sequence and the SSS comprises an SSS sequence. All the SSBs have same PSS sequence but mutually different SSS sequences. The method comprises including the symbol in which the PSS of the SSB was received from the serving access network node in a set of evaluation symbols when received power of at least one of the SSS of the SSB received from the serving access network node and the SSS of any SSB not received from the serving access network node fulfils a power relation criterion.

Abstract: The present disclosure generally relates to the field of security context setup. More specifically, the present disclosure relates to techniques of supporting security context setup in a wireless communication network. A method embodiment relates to supporting security context setup in a wireless communication network, the method comprising initiating (S304), by a radio access network (RAN) element of the wireless communication network, Access Stratum (AS) security context setup for a first Radio Access Technology (RAT) and a second RAT in a common signaling procedure.

Abstract: A beamforming apparatus (10) performs beamforming via a plurality of antenna elements (12) by using per-branch sign reversal circuits (16) that approximate the per-branch phase values associated with a particular beam direction or shape by selectively reversing or not reversing the polarities of the individual branch signals (18). Eliminating continuous-valued or high-resolution phasing control from the branch circuits (14) that are fed into or from the respective antenna elements (12) simplifies the branch circuitry, thereby reducing the physical space needed for the branch circuits (14) and reducing loss and noise within the branch circuits (14). Further, operating the plurality of antenna elements (12) as two or more groups (24) and controlling the differential phase between the groups (24) advantageously reduces the errors arising from the approximation of the per-branch phase values.

Abstract: A method (20, 40) for reducing undesirable visual effects, such as judder, in a video image having one or more frames is disclosed. A server node (16) generates graphics layers from 3D objects, and augments the layers with the Z-layer information and motion information for the objects. The server node then groups (28, 30, 32) the graphics layers, encodes (34) the groups into a video stream such that every video frame of the stream is a composite video frame of the graphics layers, adds (36) the motion information to the composite video frame, and sends (38) the stream to a client device (18). Upon receipt, the client device extracts (44) the motion information, compensates the positions of the graphics layers using the Z-layer information and the motion information, and applies a selected positional time-warp algorithm to compensate for the translational and rotational movement of the user's head (50). The resultant layers are then combined into a video image and rendered (52) for the user.

Abstract: A network node that communicates with a set of wireless devices (WDs) is provided. The set of WDs includes at least a first WD that detects a traffic event and a group of other WDs. The network node comprises processing circuitry configured to determine a space corresponding to the first WD. The determined space has at least a dynamic dimension that is based at least on a vehicle traffic factor of a plurality of vehicle traffic factors associated with the first WD. Each of the WDs of the group of other WDs is determined to be within the space corresponding to the first WD. A first message is received from the first WD, where the first message is associated with the traffic event. A second message is transmitted to each of the WDs of the group of other WDs based in part on the traffic event.

Abstract: A method of controlling transmission of an upstream packet traffic from a plurality of Optical Network Units to an Optical Line Terminal in a Passive Optical Network based fronthaul network. The Optical Network Units transmit packets in a time division multiplexed access scheme to the Optical Line Terminal and the method comprises obtaining mobile upstream scheduling information, scheduling the packet traffic from the plurality of Optical Network Units based on delay constraints of the PON-based front haul network and the obtained mobile upstream scheduling information. The method also comprises transmitting the scheduling of the packet traffic to the plurality of ONUs.

Abstract: The present invention enables accelerated feature vector crafting with a high level of trustworthiness. Heretofore, a system (10) is set up from a data source verification apparatus (12) for verifying the at least one data source (14-1, . . . , 14-n) that generates the new specimen data and a feature vector crafting apparatus (18) for crafting at least one new feature vector from the new specimen data. The feature vector crafting apparatus (18) receiving data after verification of data sources (14-1, . . . , 14-n). The feature vector crafting apparatus (18) automatically generates new feature vectors from new data for forwarding there to an artificial intelligence infrastructure (20).

Abstract: A method is performed by a wireless device in a network. The wireless device detects a triggering event related to a procedure for a handover from a source network node to a target network node in which the wireless device relies on downlink beam selection. The wireless device determines measurement information to include in a message to send to the target network node. The measurement information is obtained by measuring one or more beams according to at least one of a radio link management configuration, a beam management configuration, and a measurement configuration. In response to detecting the triggering event, the determined measurement information in the message is sent to the target network node.

Abstract: A method of operating a wireless communication device of a radio communication network includes obtaining information identifying at least one of: 1) how often the wireless communication device requests assistance data be provided by a network node of the radio communication network for positioning by the wireless communication device; and 2) how often the wireless communication device performs positioning. The method can further include sending a request for assistance data containing the information toward the network node. Another method of operating a serving node that communicates with wireless communication devices and a network node of a radio communication network, includes requesting the network node to provide assistance information that identifies wireless communication devices that are configured to use assistance data from the network node for positioning and/or identifies wireless communication devices that have requested assistance data from the network node for positioning.

Abstract: A method performed by a first communication device operating in a wireless communications network. The first communication device obtains a first set of one or more values indicating an observed speed of a boat relative to a power of an engine of the boat. The speed and the first indication are obtained by from sensors in the boat. The first communication device then obtains a second indication of an external factor on the hull of the boat causing friction against water. The obtaining of the second indication is based at least on: the obtained first set, and a reference. The reference is based on one of: a) a threshold, and b) a mathematical model. The first communication device also initiates providing a third indication of the external factor to a device, based on the obtained second indication.

Abstract: A method and a network node for enabling configuration of at least two patterns for a cell are provided. The patterns are transmission patterns or measurement patterns. The network node obtains the at least two patterns. Each of the at least two patterns is associated with information about a respective restricted area such that each pattern is used when a user equipment served by the cell is located in the respective restricted area. Each respective restricted area is smaller than an entire area of the cell. Moreover, a method and a user equipment for configuring measurements are provided. The user equipment is served by a cell of a radio base station. The user equipment receives at least two measurement patterns from the radio base station. Each measurement pattern is associated with a respective restricted area. Each respective restricted area is smaller than an entire area of the cell. The user equipment obtains information about the respective restricted area.

Abstract: A method by a master network node for measurement gap configuration includes establishing a connection with a wireless device operating in dual connectivity with the master network node and a secondary network node. The master network node operates on a New Radio, NR, wireless network and the secondary network node operates on a Long-Term Evolution, LTE, network. The measurement gap configuration is configured on a per frequency basis for at least a first frequency and a second frequency on the NR wireless network. The measurement gap configuration is configured on a per frequency basis for the first frequency on the LTE network. The method further incudes configuring, by the master network node, the wireless device with at least one measurement gap for the second frequency when the master network node configures a measurement that requires the at least one measurement gap.

Abstract: Methods and systems for performing admission control include receiving an indication of at least one service reliability target associated with at least one service and determining whether one of the at least one service reliability targets is met. If the one of the at least one service reliability targets is met, an initial context associated with the service is configured. The at least one service reliability targets may be received with an initial context setup request message and responded to with either an initial context setup failure message or an initial context setup response message.