Abstract: Systems, methods, apparatuses, and computer program products for energy efficient homing and placement of cloudified network functions. A method may include defining features of a policy in an open-cloud domain. The method may also include defining a policy and a policy criteria associated with the features of the policy. The method may further include mapping the policy to at least one operating mode of an open-cloud resource. In addition, the method may include classifying the open-cloud resources in a cluster template. Further, the method may include transmitting the features, the policy, the policy criteria, and the mapping of the policy to a service management and orchestrator or an open-cloud.

Abstract: A network node may transmit a configuration message to at least one network device of a plurality of network devices, the configuration message including updated configuration information for the at least one network device, determine whether to update a network inventory system based on a response to the configuration message, and update a record included in the network inventory system associated with the at least one network device based on results of the determination, the updating including updating the record with the updated configuration information.

Abstract: A screw assembly, including: a removable shoulder screw including: a first screw shaft portion; a second screw shaft portion; a first threaded portion; and a first shaft edge between the first screw shaft portion and the second screw shaft portion, wherein the second screw shaft portion is between the first screw shaft portion and the first threaded portion, and wherein a diameter of the second screw shaft portion is smaller than the diameter of the first screw shaft portion; and a first removable shoulder including a first removable shoulder opening and a first removable shoulder edge, wherein the first removable shoulder opening has a diameter less than the diameter of the first screw shaft portion and is configured to engage the second screw shaft portion, and wherein the first removable shoulder edge is configured to engage the first shaft edge.

Abstract: Embodiments of the disclosure provide a method, device and computer readable medium for terminal devices influenced network slice selection. According to embodiments of the present disclosure, a new terminal device influenced network slice selection is proposed. The NRF updates the application profile for the terminal device based on the change of the applications on the terminal device. The NRF may notify the PCF about the application profile and the PCF generates the route policy for the application on the terminal device. In this way, problems regarding the affected terminal devices of application influenced network slice selection are solved.

Abstract: An optical network unit (ONU) includes a transmitter and receiver to optically communicate with an optical line terminal (OLT) of a passive optical network. The ONU is configured to send an acknowledgment message to the OLT in response to a burst-profile message unicast by the OLT. The acknowledgement message indicates unsupported forward error correction (FEC) code in response to the burst-profile message identifying an FEC code for upstream transmission and the ONU not supporting the FEC code for upstream transmission to the OLT.

Abstract: A method for provisioning a self-learning closed loop service is provided. The method includes receiving a representation of the self-learning closed loop service, the representation including a specification of one or more automation subservices, identifying, for each automation subservice of the representation, one or more utility measurement subservices that are compatible with the respective automation subservice and deploying an instance of the self-learning closed loop service based on the identification, wherein the instance includes a pairing of each automation subservice of the self-learning closed loop service with one or more compatible utility measurement subservices.

Abstract: An apparatus including: a base plate; a guide rail being disposed on the base plate; a sliding bar with a first side being disposed on the guide rail, wherein the sliding rail includes a wedge on a second side of the sliding bar opposite the first side; and a heat sink, wherein the base plate and the heat sink form a slot for insertion of a pluggable module at a front of the slot.

Abstract: An electronic device fetches first information from memory devices concerning errors associated with radiation effects in the memory devices and fetches second information about system performance associated with the electronic device. The electronic device monitors current parameters of the memory devices and calculates parameter values for configuration of the memory devices based on the fetched first information, the fetched second information, and the monitored current parameters, the calculating performed to adjust the parameter values to improve a metric of the system performance against the errors associated with the radiation. The electronic device implements the calculated parameter values for the configuration of the memory devices.

Abstract: An aggregation unit includes a transceiver configured to transmit unique signals to a plurality of transmission reception points (TRxPs) for transmission by the plurality of TRxPs and receive uplink signals received by the plurality of TRxPs from a user equipment. The aggregation unit also includes a processor configured to generate a sum of the uplink signals from a subset of the plurality of TRxPs. The subset is determined based on measurements of the unique signals performed by the UE. In some cases, the subset is determined by a baseband unit that receives a measurement report including the measurements performed by the UE. The transceiver is configured to transmit the sum of the uplink signals to the baseband unit over a fronthaul link.

Abstract: Disclosed is a method comprising: creating a first structure graph whose nodes represent points of a first structure map, the nodes being associated with state vectors obtained using feature vectors of the points of the first structure map; creating a first RF graph having nodes representing points of a respective first RF map; creating a first input graph from the first structure graph and the first RF graph; updating state vectors of the nodes of the first input graph; creating an output graph whose nodes represent target spatial points of the environment; connecting the output graph with at least the first input graph; updating the state vectors of the output graph; inputting the state vectors of the output graph to a trained machine learning model to obtain a prediction of a signal propagation characteristic at the target points.

Abstract: Various example embodiments for providing protection in communication networks are presented herein. Various example embodiments for providing protection in communication networks may be configured to provide protection in tunnel-over-tunnel topologies supported within communication networks. Various example embodiments for providing protection in tunnel-over-tunnel topologies may be configured to provide dynamic application of protection in tunnel-over-tunnel topologies rather than static application of protection in tunnel-over-tunnel topologies. Various example embodiments for providing protection in tunnel-over-tunnel topologies may be configured to provide dynamic application of protection for a primary path that is a tunnel-over-tunnel path based on a hierarchy of protocols.

Abstract: An example method may include receiving slice isolation policy for a network slice subnet (NSS) in a transport network (TN) domain, mapping the slice isolation policy to network resource isolation policy and traffic isolation policy, and mapping the network resource isolation policy and the traffic isolation policy to network resource allocation policy and data traffic forward policy, respectively. The network resource allocation policy and the data traffic forward policy may be applied in creation of the TN NSS.

Abstract: A method comprises receiving resource configuration from at least one of a parent node and donor node. The resource configuration comprises information defining at least one resource type for a plurality of links for at least one time and at least one resource. The method comprises allocating, in dependence on the resource configuration, the at least one resource for said at least one time to at least one link of the plurality of links, the at least one link being with one or more child nodes.

Abstract: A method for collecting data, the method comprising, at an ONU of an optical distribution network, receiving downstream data packets in a downstream frame, each downstream data packet including a layer-2 header comprising at least upstream transmission opportunities and corresponding Alloc-ID's, wherein each Alloc-ID identifies a T-CONT of an ONU of the optical distribution network, wherein the upstream transmission opportunities define upstream bandwidth allocation for the T-CONT of the ONU; extracting at least part of the upstream transmission opportunities and their corresponding Alloc-IDs from the layer-2 headers; and collecting the at least part of the upstream transmission opportunities and the corresponding Alloc-ID for transmission as a layer-3 output payload.

Abstract: A scheduling method for use in a radio access network to allocate frequency resources to a user device for the transmission of data units organized in a set of data units is disclosed. The sets of data units are assigned an initial transmission delay budget which decreases over time. The scheduling method includes, at a given transmission time, prioritizing scheduling the user device with the largest portion of data units already successfully transmitted within the set of data units, and prioritizing scheduling the user device which set of data units has the smallest remaining transmission delay budget.

Abstract: Devices, methods and computer programs for machine learning-based generation of beamforming coefficients by utilizing prior radio channel related information are disclosed. At least some example embodiments may allow reducing the amount of historical information to be fed to a neural beamformer or machine learning-based beamformer to reduce computational complexity and memory requirements.

Abstract: This specification relates to systems and methods for determining eigenvalues and eigenvectors of a covariance matrix, for example for use in eigen-beamforming in MIMO systems. According to a first aspect of this specification, there is describes a method comprising: receiving an input covariance matrix; and determining one or more eigenvalues and/or eigenvectors of the matrix iteratively using gradient ascent, wherein each iteration of the gradient ascent has a step size, ?, that maximises a Rayleigh quotient along the gradient.

Abstract: Disclosed is a method comprising generating a preamble matrix comprising a plurality of entries, wherein at least a subset of the plurality of entries indicate random-access preambles; obtaining a sequence encoded with the preamble matrix; and transmitting the sequence to one or more user devices.

Abstract: Devices and methods for collaborative control of power amplifier related distortions in a radio transmitter device are disclosed. At least some example embodiments may allow controlling the distortions in the power amplifiers used in the radio transmitter devices in way that also takes into account various emission requirements.

Abstract: A network node may transmit a configuration message to at least one network device of a plurality of network devices, the configuration message including updated configuration information for the at least one network device, determine whether to update a network inventory system based on a response to the configuration message, and update a record included in the network inventory system associated with the at least one network device based on results of the determination, the updating including updating the record with the updated configuration information.