Abstract: Improved system and method of X-ray laser microscopy that combines information obtained from both X-ray diffraction and X-ray imaging methods. The sample is placed in an ultra-cold, ultra-low pressure vacuum chamber, and exposed to brief bursts of coherent X-ray illumination further concentrated using X-ray mirrors and pinhole collimation methods. Higher resolution data from a sample is obtained using hard X-ray lasers, such as free electron X-ray lasers, and X-ray diffraction methods. Lower resolution data from the same sample can be obtained using any of hard or soft X-ray laser sources, and X-ray imaging methods employing nanoscale etched zone plate technology. In some embodiments both diffraction and imaging data can be obtained simultaneously. Data from both sources are combined to create a more complete representation of the sample. Methods to further improve performance, such as concave or curved detectors, improved temperature control, and alternative X-ray optics are also disclosed.

Abstract: A method of assigning network resource between users of a network is disclosed. The method comprises the steps of monitoring a measure of user experience of users accessing a service within the network (step 120), determining a current level of user satisfaction with the service accessed for users within the network (step 130), and distributing network resource between users to minimise the number of users exhibiting a level of user satisfaction that is below a first threshold level (step 140). Also disclosed is a computer program product for carrying out a method of assigning network resource between users of a network and a system (200) configured to assign network resource between users of a network.

Abstract: A method and a wireless device (110) for managing a positioning method based on prediction as well as a method and a network node (120) for managing mobility patterns for use by a wireless device (110) when performing a positioning method based on prediction are disclosed. The wireless device (110) performs mobility measurements relating to mobility of the wireless device (110). The wireless device (110) estimates a position of the wireless device (110) based on prediction by using the mobility measurements and a first intra-cell pattern. The wireless device (110) detects whether the wireless device (110) is on the first intra-cell pattern or on a second intra-cell pattern, when the estimated position has reached a checkpoint of the first intra-cell pattern. The network node (120) receives information about mobility patterns. The mobility patterns comprise intra-cell patterns of cells visited by the wireless device (110).

Abstract: A method of performing cell selection for a set of mobile terminals among at least two neighbouring cells including a first and a second radio access node, respectively, includes acquiring a value of at least one property reflecting a network condition for each one of the mobile terminals, determining with which one of the first and second radio access nodes each of the mobile terminals initially should be associated based on the value of the acquired property for each mobile terminal, and generating a plurality of variations to the determined initial association based on a corresponding selected parameter. The method includes performing cell selection for at least a subset of the generated plurality of variations to the initial association, and determining a value of a metric for each of the performed cell selections and associating each metric value with said acquired property.

Abstract: A method in a network node for computing a Cell Range Expansion (CRE) value. The network node obtains a first value of a measure of the performance of the wireless communications network. The network node creates a first relationship relating the first value of the parameter to the first CRE value and the first measure of the performance of the wireless communications network, based on the first value of the parameter and the first value of the measure of the performance. The network node creates a second relationship relating the second value of the parameter to a second CRE value and a second value of the measure of the performance of the wireless communications network, based on the first relationship and on the second value of the parameter. The network node computes the second CRE value based on a second value of the parameter, and the second relationship.

Abstract: According to a first aspect, it is presented a method, performed by a network device, for determining a set of power state parameters at least partly defining when a wireless terminal is to be in an active state or a power saving state. The method comprises the steps of: obtaining at least one traffic characterization parameter; for each traffic flow, simulating a plurality of sets of power state parameters; obtaining at least one operational traffic characterization parameter; associating the operational traffic with a selected traffic flow; finding an applicable set of power state parameters by finding a set of power state parameters with a low cost, wherein the set of power state parameters are associated with the selected traffic flow; and sending the applicable set of power state parameters to the wireless terminal in operation. A corresponding network node, computer program and computer program product are also presented.

Abstract: A method in a user equipment for predicting an available throughput for uplink data to be sent from the user equipment to a base station over a radio link. The user equipment obtains (201) an information about a past scheduling of the user equipment. The user equipment obtains (202) a radio quality measure related to the radio link. The user equipment predicts (204) the available throughput based on a relationship between the information about a past scheduling of the user equipment and one or more previously obtained pieces of information about the past scheduling of the user equipment. The user equipment predicts the available throughput further based on a relationship between the radio quality measure and of one or more previously obtained radio quality measures. The user equipment predicts the available throughput further based on a previously obtained throughput.

Abstract: Method and sensor observation system (200), for reporting observations to data users (204) based on sensor data collected (2:1) from a network of sensors (202). A first observation report that originates from a sensor in the network, is provided (2:4) to a first data user and a rating with respect to quality of the first observation report is received (2:5) from the first data user. Rating information is then created (2:8) based on the received rating, and a second observation report originating from the same sensor and comprising said rating information is provided (2:10) to a second data user. The comprised rating information thus indicates reliability of the second observation report. Thereby, the second data user is enabled to estimate and use the second observation report depending on its reliability as indicated by the rating information.

Abstract: It is presented a method, performed by a network device, for determining a set of power state parameters at least partly defining when a wireless terminal is to be in an active state or a power saving state. The method comprises the steps of: obtaining traffic types for each one of a plurality of traffic flows to or from a wireless terminal, resulting in a present combination of traffic types; finding, in a power state parameter repository, a first match between the present combination of traffic types and a combination of traffic types associated with a first set of power state parameters; and when the first match is found, transmitting the first set of power state parameters to the wireless terminal. A corresponding network device, computer program and computer program product are also presented.

Abstract: There is provided a pre-scheduling grant transmission method performed by a network node.

Abstract: The present invention relates to a method and device of evaluating a traffic shaper used for shaping at least two traffic flows of a mobile terminal operating according to a particular DRX setting in a mobile communications network. The method comprises the steps of acquiring an estimated lower bound of battery savings as a function of transmission rate of each traffic flow (f1, f2) of the at least two traffic flows for the mobile terminal according to the particular DRX setting. Further, the method comprises acquiring an estimated battery savings measure for said each traffic flow (f1, f2) before shaping, and acquiring an estimated battery savings measure for said each traffic flow (f1, f2) after shaping.

Abstract: Apparatuses and methods providing indications of service failure in a communications network. At least one N-dimensional vector of key performance indicator values is acquired from at least one network equipment device. An outlier score is determined for the at least one N-dimensional vector by using an L-valued outlier scoring function based on N-dimensional regions Rk, k=1, L, where L>1, and where region Ri is at least partly enclosed by region Rj, and where the outlier score for the N-dimensional vector is dependent on in which of the N-dimensional regions Rk the N-dimensional vector is located. An indication of service failure is determined for the at least one network equipment device based on the outlier score for the at least one N-dimensional vector.

Abstract: A method, performed by a network device, is disclosed for determining a set of power state parameters at least partly defining when a wireless terminal is to be in an active state or a power saving state. The method includes the steps of: detecting a present traffic type of a traffic flow to or from a wireless terminal; obtaining, from a power state parameter repository, a set of power state parameters corresponding to a plurality of traffic types, including the present traffic type; transmitting the set of power state parameters to the wireless terminal; detecting a further traffic type of a traffic flow to or from the wireless terminal; and modifying the power state parameters for the wireless terminal, only when the further traffic type does not comply with at least one expected future traffic type of the plurality of traffic types.

Abstract: The present disclosure provides enhanced group recommendation for selection of a service item with respect to a service class, and communicates the enhanced group recommendation to a sub-group of service users. Initial service scores for service items in the service class are generated by aggregating individual service preferences of sub-group members with respect to the service class. Group preferences for service items in the service class are then predicted using statistic data on previous service selections of sub-group members with respect to the service class. The initial service scores are aggregated with the predicted group preferences to generate of weighted service scores with respect to service items in the service class. One of the service items in the service class that has the highest weighted score is the group recommendation is communicated to the sub-group members.

Abstract: A stationary short-range wireless communication device acts as a node of a network where nodes are isolated from each other and comprises a communication unit detecting at least one mobile wireless device in the vicinity of the node, a data memory provided for node data (ND) and a control unit controlling the transfer of data between the stationary short-range wireless communication device and the mobile wireless device, which transfer comprises the transfer of node data (ND). The mobile wireless device comprises a data memory for node data (ND) and a control unit (60) that receives the data from the node comprising node data (ND), stores the node data (ND) in the data memory, determines if the mobile wireless device is in the vicinity of another network node and if so transfers the node data to the other network node.

Abstract: Methods and apparatuses are disclosed that determine network parameters to be used by a wireless terminal. Network traffic history data is acquired. Each entry of the network traffic history data relates to network parameters of traffic flows between a network node and a wireless terminal. Which number of clusters to be used for representing the network traffic history data is determined by optimizing a generic utility function representing at least one network parameter of said network parameters of traffic flows. Each entry of the acquired network traffic history data is associated with one of the number of clusters by constrained clustering of the acquired network traffic history data. The constrained clustering uses a biased distance measure. Each cluster is associated with network parameters to be used by a wireless terminal based on the network traffic history data associated with each cluster.

Abstract: A method in a communication network for predicting whether a second service will be used by a user in a future time slot. The method comprises obtaining information about which services, of a plurality of services, have historically been used in which time slots in the communication network. The method comprises analysing the obtained information to determine that, whether a first service of the plurality of services is used in any of the historic time slots, correlates with whether the second service of the plurality of services is used in said historic time slot. The method comprises predicting whether the first service will be used by the user in the future time slot. The method comprises predicting, based on whether the first service has been predicted to be used in the future time slot, whether the second service will be used by the user in said future time slot.

Abstract: Systems and methods are described to intelligently determine adjusted real time probabilities that various task assignments will be completed by corresponding deadlines and, therefore, whether an overall team objective that the various tasks are designed, in the aggregate, to achieve. Determinations may be based in part on recent computing activity associated with data files of individual tasks. In particular, data files that correspond to individual tasks may be flagged as such by a service provider that may then track computer based activity such as increased data size of files or increased frequency of save event. By tracking which do not have a predetermined level of computing activity with regard to associated data files these tasks may be identified and resolved.

Abstract: A first data handling node (304) is configured to verify data received in a data distribution network with multiple data handling nodes forming a distribution path of a network topology, by obtaining tag information from a hash server (306). The first data handling node (304) receives data (D3) and a hash tag (H3) from a second data handling node (302). The received data (D3) and hash tag (H3) have been generated by the second node based on a previous hash tag (H1, H2) generated by a preceding third data handling node (300a, 300b). The third node has delivered data (D1, D2) to the second node, and the received data (D3) has been generated by the second node based on the data (D1, D2) delivered by the third data handling node.

Abstract: A method performed in a network node for scheduling a communication that includes transmitting to the communication device, a configuration message relating to semi-persistent scheduling. The configuration message includes an information element indicating a periodicity of the semi-persistent scheduling, wherein the information element has a value that corresponds to a periodicity of every 1 subframe, every 2 subframes, every 3 subframes, every 4 subframes, every 5 subframes, every 6 subframes, every 7 subframes, every 8 subframes or every 9 subframes.