Abstract: A method for controlling allotment of power input between at least two PAs of a radio unit for data communication in a wireless communications network is provided. The radio unit has access to Direct Current (DC) power and Photovoltaic (PV) power. The amount of power to be transmitted out from each respective PA out of the at least two PAs established, and information related to the amount of PV power available is obtained. The allotment of power input of DC power and PV power between the at least two Pas is then controlled based on the established amount of power to be transmitted out from each respective PA out of the at least two PAs, and the obtained information related to the amount of PV power available.

Abstract: A computer-implemented method performed by a first node (111). The first node (111) operates in a communications network (100). The first node (111) obtains (501), from another node (112, 113) operating in the communications network (100), a respective indication. The respective indication is of a respective efficiency measure of power use of a plurality of nodes (110) operating in the communications network (100) along at least two paths (151, 152). The first node (111) then selects (502) a path for a first packet in the communications network (100), among the at least two paths (151, 152), based on the obtained respective indication.

Abstract: Methods and systems for power supply unit (PSU) control. A method includes measuring one or more properties of the PSU to obtain property measurements, and initiating transmission of the property measurements to a machine learning (ML) agent hosting a trained ML model. The method further includes receiving the property measurements at the ML agent, and processing the received property measurements using the trained ML model to generate suggested actions to be taken by the PSU. The method further includes predicting the effect of each of the suggested actions on the measured PSU properties, and selecting a subset of the suggested actions predicted to have a significant impact on the measured PSU properties. The method further includes initiating transmission of the selected subset of suggested actions to the PSU, and performing, at the PSU, the selected subset of suggested actions.

Abstract: A method performed by a control node (800) for determining whether two wireless devices meet a location criterion for closeness, the method comprising: obtaining (701), from the two wireless devices, measurements of a reference signal transmitted in a beam by a radio network node to a plurality of measurement points that are spatially distributed around the two wireless devices; and determining (702) whether the two wireless devices meet the location criterion based on the obtained measurements.

Abstract: A computer-implemented method performed by a network node is provided. The method includes receiving a request for retrieving or executing a machine learning (ML) model or a combination of ML models. The request includes a first description of a specified output feature and specified input data type and distribution of input values for a ML model or combination of ML models. The method further includes obtaining an identification of a ML model, or a combination of ML models, having a second description that at least partially satisfies a match to the first description; identifying a candidate ML model, or combination of ML models, that produces the specified output feature of the first description based on a comparison of the first and second descriptions. The method further includes selecting a third description of the identified candidate ML model, or combination of ML models, based on a convergence.

Abstract: Embodiments herein relate to, for example, a method performed by a UE for handling positioning of the UE in a wireless communication network. The UE measures a CIR of a signal from a radio network node; and initiates a process for determining whether the UE is indoors or outdoors using an ML model with the measured CIR as input.

Abstract: A computer implemented method performed by a node in a communications network for scheduling transmissions of a plurality of Internet of Things (IoT) devices to network resources in the communications network includes obtaining transmission patterns for the IoT devices. The method then includes clustering the IoT devices into clusters based on the obtained transmission patterns. The method then includes scheduling transmissions of IoT devices in different clusters to different network resources, thereby increasing synchronisation of the transmissions scheduled on each network resource and allowing for increased periods of inactivity of the network resources between transmissions.

Abstract: There is provided a method for estimating a total energy consumption of a user equipment (UE) in a network. The method is performed by a network node. A total energy consumption for the UE is estimated (102) based on a resource usage for the UE and a measure of energy consumed by a base station of the network serving the UE in communicating with the UE. The resource usage for the UE is reported to the network node by the UE and/or the base station, and the measure of energy consumed by the base station is reported to the network node by the UE and/or the base station.

Abstract: A method and system for deployment of services for customers. Network service templates (NSTs) are determined, from a permissioned distributed ledger that is distributed between network operator systems of one or more network operators and customer systems. The NSTs include respective descriptions of network characteristics that provide respective logical networks. A subset of the NSTs and a corresponding subset of the network operator systems are selected based on a service description of the first service for deployment of the first service. Instantiation of the subset of the NSTs is requested on the corresponding subset of network operator systems as a subset of network slice instances to form the first service deployed for the first customer.

Abstract: Embodiment herein disclose a method performed a network node for energy harvesting. The transmitter, the receiver unit operate in the network node. The receiver unit is positioned at a distance ‘d’ from the transmitter to produce a first amount of electrical energy. Further, the performance parameters are collected by a control unit from at least one wireless device to determine a preferred distance required between the receiver unit and the transmitter. Thereafter, the position of the receiver unit is adjusted by the control unit, at the preferred distance to the transmitter to harvest a second amount of electrical energy, where second amount is greater than the first amount. Further, at least one of the first amount or second amount of electrical energy harvested by the receiver unit is stored in a power distribution unit.

Abstract: A computer implemented method performed by a node in a communications network for matching parameters in a target network configuration with corresponding key performance indicators, KPIs, in the communications network. The method comprises obtaining (202) a first set of connections between a first subset of the parameters and a first subset of the KPIs. The method further comprises representing (204) the parameters as a first knowledge graph, representing (206) the KPIs as a second knowledge graph, and using (208) a graph-based machine learning process on the first knowledge graph and the second knowledge graph to match a second parameter to a second KPI.

Abstract: The present disclosure relates to a method of a wireless communication device (103) of facilitating control of antenna tilt for a radio base station (101), a method of a radio base station (101) of facilitating control of antenna tilt at the radio base station (101) and further a wireless communication device (103) and a radio base station (101) performing the respective method. In a first aspect a method of a wireless communication device (103) of facilitating control of antenna tilt for a radio base station (101) is provided.

Abstract: A computer implemented method of managing power control in a communication system includes generating a graph representation of interdependencies of components of the communication system, wherein the graph representation includes graph nodes corresponding to the components of the communication system and edges between pairs of graph nodes representing dependency relationships between the pairs of nodes. The method generates edge weights for the edges of the graph representation that correspond to the relative importance of the dependency relationship represented by the edge weight, and generates a policy for managing power control by determining an order for switching the components of the communication system on or off based on the edge weights.

Abstract: A circuit board arrangement includes a circuit board having two conductive material structures and a separating layer, where the structures are placed on opposite sides of the layer and the layer comprises includes a first graphene island stretching between a first area of a first of the structures and a second area of a second of the structures, which first graphene island is controllable to electrically interconnect the two areas or separate the two areas from each other. A method of communicating between a first and a second circuit via the structures comprises includes controlling the first graphene island to electrically interconnect the first and the second area and the first circuit communicating with the second circuit after the interconnection.

Abstract: Embodiments herein disclose e.g. a method performed by a radio network node for controlling power provision of one or more antenna elements associated with a user equipment. The radio network node obtains an indication of a capability relating to an output power of the user equipment; and a state indication of the user equipment indicating an activity level of the user equipment. The radio network node further controls a power arrangement controlling power provision to the one or more antenna elements, based on the state indication and/or the indication of the capability.

Abstract: A method performed by a computing device for a radio network for configuration of a network device on which network or data energy can be collected while preserving specified conditions in the radio network is provided. The method includes receiving inputs to a conditional generative model. The inputs include the specified conditions in the radio network including a value for a predicted key performance indicator, KPI, constraint parameter for a time period, a target value for a optimization parameter, and a latent variable. The method further includes outputting from the conditional generative model a configuration data for a future time period for the network node or the cell of the radio network. The configuration data is bounded by the specified conditions including the predicted KPI constraint parameter, the target value for the optimization parameter, and the latent variable.

Abstract: Embodiments herein may relate to a method performed by a radio network node for handling communication over a bandwidth interval for one or more UEs, in a wireless communication network. The radio network node determines to change a currently used bandwidth interval based on a current state of usage of resources in the 5 currently used bandwidth interval related to number of UEs served and/or a current state of positions of the number of UEs served. With the proviso that it is determined to change the currently used bandwidth interval, the radio network node calculates a changed bandwidth interval to use. The radio network node then adjusts the currently used bandwidth interval to the calculated bandwidth interval; and uses the adjusted 10 bandwidth interval for communicating with the one or more UEs.

Abstract: Methods and systems automatically protect radio network equipment in extreme weather conditions such as sand-storms or snow-storms. A pair of phase-shift material grids having different orientations is installed at an air intake of the radio network equipment. One of the grids is powered to open or close the air intake according to a current amount of air-carried particles entering the radio network equipment and a temperature inside the radio network equipment. The current amount of air-carried particles entering the radio network equipment may be detected by a piezoelectric sensor.

Abstract: The present disclosure relates to a method of scheduling communication of a wireless communication device in a communications network, and a device performing the method. A method of a device of scheduling communication of a wireless communication device in a communications network is provided. The method includes determining a geographical path along which the wireless communication device is expected to travel, acquiring data indicating power availability of access points via which the wireless communication device is capable of communicating along the expected geographical path, determining, from the acquired data indicating power availability, via which of the access points communication is to be established along the expected geographical path for avoiding establishing communication with one or more of the access points indicated to be subjected to power failure, and scheduling the communication to occur via the determined access points.

Abstract: A cluster computing device is defined, associated with a plurality of network nodes of the communications network, and it generates a performance model relating configuration parameters of a network node to at least one energy performance parameter of the network node. The cluster computing device transfers the generated performance model to the plurality of network nodes, and then receives information from network nodes, indicating configuration parameters and at least one energy performance parameter of the respective network node. When the cluster computing device identifies a first network node as having a poor performance, it also identifies a second network node as having a good performance, and it causes the first network node to operate with cloned configuration parameters of the second network node.