Abstract: A method for analysing performance of a telecommunications network is disclosed. The method comprises assembling values observed for a network performance parameter over a time window and constructing a time series by associating each performance parameter value with a representation of a time at which the value was observed. The method further comprises encoding the time series to generate a compressed representation of the time series, decoding the compressed representation of the time series to reconstruct the time series, calculating a reconstruction error between the time series and the reconstructed time series, and analysing the reconstruction error to determine if the assembled performance parameter values indicate an anomalous behaviour during the time window. Also disclosed are an apparatus and a computer program product configured to conduct methods for analysing performance of a telecommunications network.

Abstract: A method is provided for analyzing data storage applied on at least one data storage type. The data to be stored is transmitted in at least one data stream between at least one application instance and the at least one data storage type. The method includes accessing, from the at least one data stream, data selected according to pre-defined rules. Data access patterns are aggregated on the basis of the selected data, where the data access patterns are indicative of the at least one storage type applied. Classifiers are obtained by applying trained classifiers to the aggregated data access patterns. Differences between the obtained classifiers and the trained classifiers are analyzed to determine, that the obtained classifiers are indicative of at least one data storage type other than a presently used data storage type, in case at least one predefined threshold value is exceeded when analyzing the differences.

Abstract: A network anomaly detector detects a network anomaly by monitoring a communication network and provides an indication of the detected network anomaly to a network anomaly analyzer. The network anomaly analyzer receives the indication of the detected network anomaly and, on the basis of data representing the detected network anomaly and additional data, e.g., from outside the communication network, performs classification of the detected network anomaly. Depending on the classification of the detected network anomaly, the network anomaly analyzer provides a report of the detected network anomaly to another node. If for example the detected network anomaly is classified as expected behavior, reporting of the detected network anomaly may be suppressed.

Abstract: A method and apparatus for analytics-driven wireless device session context handover in an operator cloud are provided. According to one aspect, some embodiments include a method for a network node to determine whether to perform a wireless device session context handover. The method includes determining, at the network node, a first cost of not handing over a wireless device session context based at least in part on a calculated estimate of time the wireless device will stay associated with a current base station and a calculated estimate of a cost per unit time of not performing the handover. The method also includes determining, at the network node, a second cost of handing over the wireless device session context based at least in part on at least one of context-related data, base station load, backhaul load and backhaul delay.

Abstract: It is presented a method for managing communication data. The method is performed by a connection manager server (20) and comprising the step of: causing store (41) of historical communication data, for a communication session between a user and one or more contacts, into a database (13), wherein the historical communication data comprises communication data, a session identifier, a communication type, a communication context, and a user identifier for each contact having participated in the communication session. Methods for indexing communication data, and for recommending a communication type, are also presented. Corresponding connection manager servers (20), computer programs (64, 65) and a computer program product (62, 63) are also presented.

Abstract: A method and apparatus for providing labelling information to a third party regarding terminal users in a communication network. A labelling unit receives communication related data generated from executed communications of the terminal users, and fetches stored labelling rules which have been configured specifically for the third party. The labelling unit then converts the communication related data into labelling information, where a communication habits vector is determined by applying the fetched labelling rules on the received communication related data, and the labelling information is determined for the terminal user(s) based on the resulting communication habits vector. The determined labelling information is finally delivered to the third party.

Abstract: The invention provides an Access Selection Server (ASS) and a method for the same. The invention also provides a User Equipment (UE). The Access Selection Server (ASS) comprises storing means and software and is adapted for location in a communication network comprising at least one User Equipment (UE) and communication nodes. The ASS is also arranged to store information of all accesses for each UE in the communication network and information of overall load status of the communication network in the storing means by means of collecting information through interactions with the communication nodes, the UE and an Access Selection Server subscriber Data Base (ASS DB). The ASS is further arranged to communicate control messages, based on the stored information, from the ASS to the UE, thereby enabling control of multiple UE-accesses from the ASS.

Abstract: The present invention relates to a method and apparatus for requesting a transport policy for a bearer of a session in a communications system (100) A transport policy requesting node (500) according to the invention comprises an event handling mechanism (505) adapted to detect a triggering event triggering the selection of a transport policy for the bearer of a service; a transport policy selection mechanism (525) adapted to select a transport policy and transmit a policy request indicative of the transport policy to a policy decision function, and a context information handling mechanism (515, 520) adapted to receive information relating to a context relevant to the service. The context information can be used as a trigger for the selection of a transport policy, and/or as a basis for the selection of a transport policy.

Abstract: A network anomaly detector detects a network anomaly by monitoring a communication network and provides an indication of the detected network anomaly to a network anomaly analyzer. The network anomaly analyzer receives the indication of the detected network anomaly and, on the basis of data representing the detected network anomaly and additional data, e.g., from outside the communication network, performs classification of the detected network anomaly. Depending on the classification of the detected network anomaly, the network anomaly analyzer provides a report of the detected network anomaly to another node. If for example the detected network anomaly is classified as expected behavior, reporting of the detected network anomaly may be suppressed.

Abstract: A method is provided for analyzing data storage applied on at least one data storage type. The data to be stored is transmitted in at least one data stream between at least one application instance and the at least one data storage type. The method includes accessing, from the at least one data stream, data selected according to pre-defined rules. Data access patterns are aggregated on the basis of the selected data, where the data access patterns are indicative of the at least one storage type applied. Classifiers are obtained by applying trained classifiers to the aggregated data access patterns. Differences between the obtained classifiers and the trained classifiers are analyzed to determine, that the obtained classifiers are indicative of at least one data storage type other than a presently used data storage type, in case at least one predefined threshold value is exceeded when analyzing the differences.

Abstract: A method and apparatus for supporting social network analysis of terminal users in a communication network. Users being located relatively close to each other when making calls are more likely to be socially “connected” than users having mutually more remote locations. A partitioning unit (100) determines a representative geographical location for individual users based on traffic data and location data (102,104). User partitions are then made based on the users' representative geographical locations such that one particular user partition contains users having representative geographical locations within a limited geographical area. The user partition is then provided to a social network analysis function (106) for further analysis (108).

Abstract: The present invention provides methods, an application node (104, 26, 300), a policy node (108, 24, 400), a system for service delivery control related to access technology types and in particular for service delivery control based on allowed access technology types. Based on radio access technology types as defined by an application node related to a service provider as communicated to the policy node over the inter node interface Rx (106), and an radio access technology type with which a mobile phone (102, 22) communicates on at the moment, a determination is made as to whether the radio access technology type with which the mobile phone communicate son is among the allowed radio access technology types or not. If it is not, the current access technology type may be updated such that there is a match between the allowed radio access technology type and the current radio access rate.

Abstract: A system for generation of processed data for use in third party relationship monitoring is described. The system includes a communications system providing services to subscribing users. The communications system includes a rules database for storing rules, a data mining agent for mining and storing data relating to subscribing users, a content generator for generating protected user-related data from the mined data and communicating said user-related data over an interface, and a rights object generator for generating a usage rights object in response to the rules stored in the rules database and communicating said usage rights object over the interface. A tamper proof processing arrangement is connected to the interface. The tamper proof processing arrangement receives the user-related data and usage rights object from the communications system and processes the user-related data under control of the usage rights object.

Abstract: A method and apparatus for performing analysis of client related data obtained from a communication network. A trend analyzer analyzes a trend of a client segment, which trend has been detected by a data stream analysis of the client related data. The trend reflects a change over time of at least one feature derived from the client related data. The trend analyzer then requests a batch based deep analysis when the trend fulfils a trigger condition, to find a cause for the trend. A result of the deep analysis is then provided to a result consumer. Thereby, the deep analysis may be performed only when a trend has been detected thus being more responsive to trends by the stream analysis and reguiring less resources, as compared to when data is always subjected to deep analysis regardless of whether a trend occurs or not.

Abstract: The invention relates to a method performed in a computer system for aiding the assessment of an influence of a user in or interacting with a communication system by applying social network analysis, SNA, functions. The method comprises: obtaining two or more SNA metrics for each user of a first number of users, each SNA metric being determined by a respective SNA function; calculating a weight parameter for each one of the SNA metrics using a machine learning method, the weight parameters indicating a combination of the SNA metrics for use in the assessment of the influence of the user; and applying the estimated weight parameters to SNA metrics of a second number of users to assess a ranking in accordance with influence of users in the second number of users. The invention also relates to a computer system, computer programs, and computer program products.

Abstract: The invention comprises methods and arrangements for Policy Decision Point discovery in a roaming or handover scenario in an IP network (IN) comprising a plurality of network elements. The invention comprises methods and arrangement in an user equipment for receiving the address of the serving policy decision point and sending to the Home Agent a registration request comprising the local IP address of the user equipment so that the home agent can register the local IP address. The registration request will also comprise the address (ASPDP1) of the serving policy decision point (SPDP1) so that the Home Agent can forward the address of the serving policy decision point to the anchor Policy Decision Point and so that the anchor Policy Decision Point can contact the serving policy decision point by using said address of the serving Policy Decision Point.

Abstract: The invention relates to a method (40) in a visited gateway server (21) in a communication system (1) comprising a home network (10) and a visited network (20) for enabling exchange of user profiles between a visited user profile server (22) of the visited network (20) and a home user profile server (12) of the home network (10), the method comprising: receiving (41) a user identification from a user equipment (2) requesting access to the visited network (20); transmitting (42), in response to received user identification, an identifier of the visited user profile server (22) to the user equipment (2) for conveyance by the user equipment (2) to the home user profile server (12), thereby enabling the exchange of user profiles. The invention also relates to visited gateway server, methods in a visited user profile server, visited user profile server, and methods in a user equipment, user equipment and computer programs.

Abstract: In the embodiments of the present invention, a network node in an operator network is introduced. The network node is an analysis component configured to analyze the subscriber behavior based on the internet traffic data within the network. The network node is configured to provide a dynamic profile of the subscribers based on the current and past internet traffic. The dynamic profile may be used by other applications in the operator network or third parties. For example, a content provider can take a decision on what content to provide to a certain subscriber, based on dynamic subscriber profile information of this certain subscriber received from the network node according to the embodiments of the present invention. Another example is that an operator can use the dynamic subscriber profile when selecting commercial offers to his own subscribers e.g. when a subscriber has a new music mobile when visiting music sites.

Abstract: The invention relates to a server (100) for conveying a set of contact identification data to a user equipment (6) associated with a communication system (7), the server (100) comprising: a receiving unit (110) for receiving contact identification data from the user equipment (6); a data storage module (2) comprising subscriber specific data; and an analyzing module (3) arranged to: analyze received contact identification data, and provide the user equipment (6) with one or more suggested sets of contact identification data based on: the analysis, the subscriber specific data and global data of an analytics database (9). The invention also relates to corresponding methods, user equipment, computer programs and computer program products.

Abstract: The invention relates to a method performed in a computer system for aiding the assessment of an influence of a user in or interacting with a communication system by applying social network analysis, SNA, functions. The method comprises: obtaining two or more SNA metrics for each user of a first number of users, each SNA metric being determined by a respective SNA function; calculating a weight parameter for each one of the SNA metrics using a machine learning method, the weight parameters indicating a combination of the SNA metrics for use in the assessment of the influence of the user; and applying the estimated weight parameters to SNA metrics of a second number of users to assess a ranking in accordance with influence of users in the second number of users. The invention also relates to a computer system, computer programs, and computer program products.