Abstract: Methods and apparatus for use in an Internet-of-Things (IoT) system are presented. A method performed by a network node in an Internet-of-Things (IoT) system is presenting in an example embodiment. According to this example method, a network node or a plurality of network nodes working collaboratively can obtain data captured by one or more IoT devices and associated with an interactive activity with which different participants interface at different sites. Furthermore, the network node(s) may determine a state of the activity by applying the data to a data model. Moreover, the network node(s) can, in an example method, provide one or more feedback signals to feedback devices associated with one or more of the different sites to actualize the determined state of the activity, where at least two of the different sites have disparate, meaning non-identical, feedback device sets.

Abstract: Methods and apparatus for resource optimization in Internet-of-Things (IoT) networks are presented. For instance, the disclosure presents an example method executed by a network node (106) in an IoT system (100). In some embodiments, the example method includes predicting (202) a likelihood that a future event will be detected by one or more IoT devices (102) in the IoT system (100) under different potential resource allocation and IoT device settings. The predicting (202) is conducted subject to resource availability constraints in some examples. In addition, the example method includes, based on the predicting (202), adapting (204) at least one of resource allocation and IoT device settings in the IoT system (100) for the future time. This adapting (204) is conducted such that the likelihood that the future event will be detected is maximized under the resource availability constraints according to a target optimization function.

Abstract: Methods and apparatuses for generating real-time or near-real-time transport modality statistics by correlating mobile network and public transport location data are provided. In an example, a processing node may perform a method using one or more processing circuits, the method including identifying paths traveled by multiple vehicles and determining paths traveled by multiple subscriber telecommunications devices of one or more network or service providers. In addition, the method may include correlating the paths traveled by the multiple vehicles and the paths traveled by the multiple subscriber telecommunications devices to determine which one or more modes of transportation each subscriber telecommunications device used over the path traveled by the subscriber telecommunications device. Corresponding apparatus, computer programs, and signals are also described.

Abstract: Handover bursts are identified for source and target cell pairs along a given public transport line, and each of the handover bursts are tagged with anonymized identifiers of participating users. By searching for handover bursts with a significant share of common user identifiers, it is possible to recursively connect bursts corresponding to a particular public transport vehicle trip. Further, by projecting the estimated location of all connected handover bursts to the path of the given public transport line, it is possible to interpolate stop times and locations for the given vehicle along the entire trip.

Abstract: Methods and apparatuses for generating real-time or near-real-time transport modality statistics by correlating mobile network and public transport location data are provided. In an example, a processing node may perform a method using one or more processing circuits, the method including identifying paths traveled by multiple vehicles and determining paths traveled by multiple subscriber telecommunications devices of one or more network or service providers. In addition, the method may include correlating the paths traveled by the multiple vehicles and the paths traveled by the multiple subscriber telecommunications devices to determine which one or more modes of transportation each subscriber telecommunications device used over the path traveled by the subscriber telecommunications device. Corresponding apparatus, computer programs, and signals are also described.

Abstract: Handover bursts are identified for source and target cell pairs along a given public transport line, and each of the handover bursts are tagged with anonymized identifiers of participating users. By searching for handover bursts with a significant share of common user identifiers, it is possible to recursively connect bursts corresponding to a particular public transport vehicle trip. Further, by projecting the estimated location of all connected handover bursts to the path of the given public transport line, it is possible to interpolate stop times and locations for the given vehicle along the entire trip.

Abstract: Methods and apparatus for use in an Internet-of-Things (IoT) system are presented. A method performed by a network node in an Internet-of-Things (IoT) system is presenting in an example embodiment. According to this example method, a network node or a plurality of network nodes working collaboratively can obtain data captured by one or more IoT devices and associated with an interactive activity with which different participants interface at different sites. Furthermore, the network node(s) may determine a state of the activity by applying the data to a data model. Moreover, the network node(s) can, in an example method, provide one or more feedback signals to feedback devices associated with one or more of the different sites to actualize the determined state of the activity, where at least two of the different sites have disparate, meaning non-identical, feedback device sets.

Abstract: Methods and apparatus for resource optimization in Internet-of-Things (IoT) networks are presented. For instance, the disclosure presents an example method executed by a network node (106) in an IoT system (100). In some embodiments, the example method includes predicting (202) a likelihood that a future event will be detected by one or more IoT devices (102) in the IoT system (100) under different potential resource allocation and IoT device settings. The predicting (202) is conducted subject to resource availability constraints in some examples. In addition, the example method includes, based on the predicting (202), adapting (204) at least one of resource allocation and IoT device settings in the IoT system (100) for the future time. This adapting (204) is conducted such that the likelihood that the future event will be detected is maximized under the resource availability constraints according to a target optimization function.

Abstract: The disclosure pertains to determining a performance index related to a performance of a communication service provided in a network, wherein the communication service is usable by a mobile user terminal. A method aspect is directed to determining the performance index by comparing performance information associated with a characteristic location of the user terminal and performance information associated with at least one other location visited by the user terminal, the performance index being indicative of a relative performance of the communication service at the characteristic location of the user terminal compared to the at least one other location visited by the user terminal.

Abstract: A traffic analysis system monitors data traffic in a communication network. In the data traffic, flows are detected which are based on the Hypertext Transfer Protocol (HTTP). For each of the flows, a data record is created. The data record comprises at least a User Agent identifier from a message header of a HTTP message of the flow and a device identifier of a user equipment transmitting the flow. The data records are analyzed to determine a mapping of at least one User Agent identifier in the data records to a corresponding device category.

Abstract: The disclosure pertains to determining a performance index related to a performance of a communication service provided in a network, wherein the communication service is usable by a mobile user terminal. A method aspect is directed to determining the performance index by comparing performance information associated with a characteristic location of the user terminal and performance information associated with at least one other location visited by the user terminal, the performance index being indicative of a relative performance of the communication service at the characteristic location of the user terminal compared to the at least one other location visited by the user terminal.

Abstract: A technique for predicting network load in a communication network is described. For multiple subscriptions, a network load snapshot is provided. The network load snapshot comprises multiple network load records. Each network load record reflects network load caused by an associated subscription in the network at a particular point of time. Each network load record comprises at least one network load value reflecting a network load caused by the corresponding subscription and at least one network load influencing factor reflecting a parameter associated with the subscription which has the potential of influencing the network load value. The network load snapshot is transformed into a predicted network load snapshot comprising at least one predicted network load record, each predicted network load record reflecting estimated network load caused by the corresponding subscription at a particular point of time in the future.

Abstract: This disclosure relates to a method, and a network node for determining a charging of a battery of a user device. Network traffic of the user device is monitored, where the network traffic comprises network traffic of an application and/or a service of the user device. A network traffic pattern is identified for the monitored network traffic and a battery-charging event is detected based on the identified network traffic pattern. Charging of the battery is determined of the user device, based on the detected battery-charging event. These features and operations offer a number of advantages. For example, they allow a network operator to implement detection of battery-charging events using the operator's current network setup, because the teachings herein require no changes to existing network deployments, nor are additional protocols needed.

Abstract: A technique for evaluating events in a telecommunication network based on an occurrence of a plurality of the events in the telecommunications network is disclosed. In a first method aspect, the method comprises the steps of selecting at least two parameters of the events; categorizing each of the parameters into a respective finite set of values; defining, for at least a part of conjunctions between the respective finite sets of values, a dedicated counter per conjunction; and altering, upon the occurrence of an individual event, the respective counter if the parameters of the occurred event match the respective conjunction between the finite sets of values.

Abstract: This disclosure relates to a method, and a network node for determining a charging of a battery of a user device. Network traffic of the user device is monitored, where the network traffic comprises network traffic of an application and/or a service of the user device. A network traffic pattern is identified for the monitored network traffic and a battery-charging event is detected based on the identified network traffic pattern. Charging of the battery is determined of the user device, based on the detected battery-charging event. These features and operations offer a number of advantages. For example, they allow a network operator to implement detection of battery-charging events using the operator's current network setup, because the teachings herein require no changes to existing network deployments, nor are additional protocols needed.

Abstract: A technique for predicting network load in a communication network is described. For multiple subscriptions, a network load snapshot is provided. The network load snapshot comprises multiple network load records. Each network load record reflects network load caused by an associated subscription in the network at a particular point of time. Each network load record comprises at least one network load value reflecting a network load caused by the corresponding subscription and at least one network load influencing factor reflecting a parameter associated with the subscription which has the potential of influencing the network load value. The network load snapshot is transformed into a predicted network load snapshot comprising at least one predicted network load record, each predicted network load record reflecting estimated network load caused by the corresponding subscription at a particular point of time in the future.

Abstract: A technique for evaluating events in a telecommunication network based on an occurrence of a plurality of the events in the telecommunications network is disclosed. In a first method aspect, the method comprises the steps of selecting at least two parameters of the events; categorizing each of the parameters into a respective finite set of values; defining, for at least a part of conjunctions between the respective finite sets of values, a dedicated counter per conjunction; and altering, upon the occurrence of an individual event, the respective counter if the parameters of the occurred event match the respective conjunction between the finite sets of values.

Abstract: A method for identifying an application installed in a user device of a communication system is disclosed. Based on user device and network resources utilized by the user device and installation information about applications installed application, an identification of an application can be performed. An advantage with embodiments of this invention is that an application can be identified, without prior information how the application affects user device and network resources. Malicious and noxious applications can thereby be identified. Also, a resource consumption reporting service offered to the subscribers by the operator is enabled.

Abstract: A traffic analysis system monitors data traffic in a communication network. In the data traffic, flows are detected which are based on the Hypertext Transfer Protocol (HTTP). For each of the flows, a data record is created. The data record comprises at least a User Agent identifier from a message header of a HTTP message of the flow and a device identifier of a user equipment transmitting the flow. The data records are analyzed to determine a mapping of at least one User Agent identifier in the data records to a corresponding device category.

Abstract: One or more embodiments of a method and device taught herein provide for monitoring wireless terminal behavior in a wireless communication network, where each wireless terminal has a defined terminal type. Data describing the behavior of a plurality of wireless terminals in the wireless communication network is obtained. Based on the obtained data, an aggregated severity score for a given terminal type is determined that is indicative of the extent to which one or more of a plurality of performance criteria have not been met by wireless terminals of the given terminal type. If the aggregated severity score for the given terminal type exceeds a corresponding severity score threshold, one or more of a plurality of predefined actions are performed based on the extent to which the threshold is exceeded.