Abstract:
A telecommunication system monitors, for a plurality of services, a number of service requests from users and quality of service perceived by the users while using the services. A self-organizing network module determines a correlation between at least one configuration parameter, the number of service requests and the quality of service perceived, and, based on the correlation, a target number of service requests, and a target quality of service, determines an updated value for the at least one configuration parameter. Then the self-organizing network module commands the telecommunication system to implement reconfiguration thereof based on the updated value of the at least one configuration parameter.
Abstract:
A method of managing a network apparatus of a telecommunication network, where the network apparatus does not expose management interfaces sufficient to allow managing at least one operational parameter thereof of interest for the managing, includes collecting data about the network apparatus to be managed by making requests to the network apparatus to be managed and to at least one other network apparatus in operating relationships with the network apparatus to be managed. Based on the collected data, generating a behavioral model of the network apparatus to be managed. The behavioral model is an inferred logical and mathematical model of the behavior of the network apparatus to be managed with respect to the operational parameter thereof of interest for the managing. The method also includes and managing the network apparatus to be managed exploiting the generated behavioral model thereof.
Abstract:
A method (100) for managing a wireless network, comprising: collecting (105) a sequence of traffic data samples ordered in time, and arranging said collected data samples in at least one level-0 residual matrix having at least one dimension, said dimension of said level-0 residual matrix corresponding to a respective time scale comprising an ordered sequence of time units, said ordered sequences of time units defining a first time window; performing at least once a cycle, each n-th iteration of the cycle, starting from n=0, comprising a sequence of phases A), B), C), D), E): A) for at least one dimension of a level-(n) residual matrix, sub-dividing (110) the corresponding time scale in such a way to group the time units thereof in a respective level-(n+1) partition of time units so as to subdivide the traffic data samples in corresponding level-(n+1) traffic data sample sets; B) for each level-(n+1) traffic data sample set, calculating (115) a corresponding functional which fits said level-(n+1) traffic data sample set; C) for each level-(n+1) traffic data sample set, calculating (115) a corresponding approximation of the level-(n+1) traffic data sample set by applying the corresponding functional to the corresponding level-(n+1) partition of time units; D) joining together (115) the approximations of the level-(n+1) traffic data sample sets to calculate a level-(n+1) approximated matrix, said level-(n+1) approximated matrix being an approximated version of the level-(n) residual matrix; E) calculating (120) the difference between the level-(n) residual matrix and the calculated level-(n+1) approximated matrix so as to obtain a level-(n+1) residual matrix; forecasting (130) traffic data trend in a second time window different from the first time window by generating predicted data samples by applying the calculated functional to a partition of time units comprising an ordered sequence of time units corresponding to at least one among said second time window and said first time window; using (140) said forecasted traffic data trend to manage the wireless network.
Abstract:
A method (200; 600) of balancing a traffic load among at least apart of traffic managing entities (105;110) of a mobile telecommunication network (100) comprising a plurality of traffic managing entities (105;110) is proposed. The method comprises the following steps: collecting (205; 605) traffic-related data referred to said at least a part of traffic managing entities (105;110); identifying (220; 620) a first set of traffic managing entities (105;110) managing an excessive traffic load on the basis of such traffic-related data; identifying (220; 620) a second set of traffic managing entities (105;110) adapted to take charge of at least part of the excessive traffic load to which traffic managing entities (105;110) of first set of traffic managing entities (105;110) are subjected. Moreover, for each traffic managing entity (105;110) of the first set of traffic managing entities (105;110) the method comprises: determining (235-240; 630) at least one traffic managing entity (105;110) of the second set of traffic managing entities (105;110) adapted to take charge of at least part of the excessive traffic load managed by said traffic managing entity (105;110) of the first set of traffic managing entities (105;110); assigning (245; 635) at least part of the excessive traffic load to which said traffic managing entity (105;110) of first set of traffic managing entities (105; 10) is subjected to the determined at least one least one traffic managing entity (105;110) of the second set of traffic managing entities (105;110), and adjusting (245; 635) radio communication parameters of said traffic managing entity (105;110) of the first set of traffic managing entities (105; 10) and of said determined at least one traffic managing entity (105;110) of the second set of 20 traffic managing entities (105;110) thereby redistributing traffic load on the basis of such assigning.
Abstract:
A cellular network is provided. The cellular network includes a plurality of control plane transceiver stations, each one configured to provide radio coverage over a corresponding first coverage area for allowing user equipment within said first coverage area to exchange signaling traffic with the control plane transceiver station. For each control plane transceiver station, the cellular network further comprises one or more hybrid transceiver stations located within the corresponding first coverage area. Each hybrid transceiver station is configured to be switched between: a) a user operation modality that allows user equipment within said user coverage area to exchange user traffic with the hybrid transceiver station, and b) a control operation modality that provides radio coverage over a corresponding control coverage area for allowing user equipment within said control coverage area to exchange at least signaling traffic with the hybrid transceiver station.
Abstract:
A method for estimating an occupancy level of a geographic area includes transmitting first signals to and receiving second signals from bodies within the geographic area by backscattering of the first signals. The bodies include first bodies permanently within the geographic area and second bodies temporarily within the geographic area. According to the first and second signals, a first map of the first bodies within the geographic area is generated. At a specified time period, following a reference time period, transmission of the first signals, reception of the radio signals and generation of the first map is repeated. According to the first and second signals, a second map of the bodies within the geographic area is generated. A number of the second bodies within the geographic area during the specified time period is determined as the occupancy level based on comparing the first map to the second map.
Abstract:
A self-organizing system for mobile communication optimization includes circuitry that collects external data related to an external event resulting the gathering of user equipment in a geographic area. The circuitry obtains special and time identifiers for the external based on the external data in order to forecast data traffic due to the external event. The circuitry then generates a corresponding critical issues report identifying potential critical issues based on the data traffic forecast, and generates and enforces a network communication update based on the critical issues report.
Abstract:
A radio access network node of a telecommunication network and method, the node including: a system of radiating antennas radiating radio signals through a geographic territory, and a processor configured to execute computer-readable instructions to: obtain or generate a topographic map of the geographic territory; based on the topographic map, calculate a coverage map of radio coverage of the geographic territory by the radiated radio signals; based on the coverage map, shrink the topographic map to obtain a reduced-size topographic map; based on the calculated coverage map, create a first data structure including plural first data structure records, one for each point of the calculated coverage map, each first data structure records providing a description of a service delivery capability of the node in that point, and exploit the first data structure to decide how to serve user equipment located in the territory corresponding to the reduced-size topographic map.