Abstract: A method for providing measurement-based new radio (NR) coverage map includes obtaining, from a radio network, a user equipment data; obtaining a first information corresponding to a Long-Term Evolution (LTE) minimization of driving test (MDT); obtaining a second information corresponding to an LTE-NR event; combining the first information and the second information to provide a network performance information; and determining, based on the user equipment data and the network performance information, a location information corresponding to the NR coverage. Disclosed also is a system for providing measurement-based new radio (NR) coverage map.

Abstract: A method for providing measurement-based new radio (NR) coverage map includes obtaining, from a radio network, a user equipment data; obtaining a first information corresponding to a Long-Term Evolution (LTE) minimization of driving test (MDT); obtaining a second information corresponding to an LTE-NR event; combining the first information and the second information to provide a network performance information; and determining, based on the user equipment data and the network performance information, a location information corresponding to the NR coverage. Disclosed also is a system for providing measurement-based new radio (NR) coverage map.

Abstract: A computer-implemented method for automatically detecting cross-connected cells in communication network. The method includes obtaining first cell data of source cell within communication network; determining effective area of source cell using first cell data; classifying each neighbouring cell of source cell into one of: a first group, a second group, based on location of neighbouring cell; calculating share of handover events from source cell to neighbouring cells in first group using first cell data; and when share of handover events from source cell to neighbouring cells in first group lies below first threshold, filtering out neighbouring cell(s) from amongst second group with which handover events of source cell lies above second threshold and determining source cell to be cross-connected cell when: direction of filtered cell(s) is opposite to direction of the source cell; and/or effective area of filtered cell(s) does not overlap with effective area of source cell.

Abstract: A computer-implemented method for automatically detecting cross-connected cells in communication network. The method includes obtaining first cell data of source cell within communication network; determining effective area of source cell using first cell data; classifying each neighbouring cell of source cell into one of: a first group, a second group, based on location of neighbouring cell; calculating share of handover events from source cell to neighbouring cells in first group using first cell data; and when share of handover events from source cell to neighbouring cells in first group lies below first threshold, filtering out neighbouring cell(s) from amongst second group with which handover events of source cell lies above second threshold and determining source cell to be cross-connected cell when: direction of filtered cell(s) is opposite to direction of the source cell; and/or effective area of filtered cell(s) does not overlap with effective area of source cell.

Abstract: A method and a system for detecting an anomaly in sensor time series data of a sensing arrangement includes implementing a neural network trained on training data with prior sensor time series data; re-constructing a sample sensor time series data for a target time period using the trained neural network; determining an anomaly score variable based on a re-construction error in the re-constructed sample sensor time series data; determining a confidence interval for the target time period based on a distribution of the determined anomaly score variable; mapping a target sensor time series data, generated by the sensing arrangement corresponding to the target time period, to the determined confidence interval; and indicating an anomaly in the target sensor time series data if the target sensor time series data is not substantially within the determined confidence interval.

Abstract: A computer implemented method for uplink power control in a mobile network. The method is performed by obtaining (301) signal to interference and noise ratio, SINR, of a first cell of the mobile network; comparing (302) the SINR to current uplink power parameter of the first cell; determining (303) a new value for the uplink power parameter based on the comparison so that, if the SINR is higher than the current uplink power parameter, the current uplink power parameter is increased to obtain the new value for the uplink power parameter, and if the SINR is lower than the current uplink power parameter, the current uplink power parameter is decreased to obtain the new value for the uplink power parameter; and providing (304) the determined new value of the uplink power parameter for use in uplink power control of the first cell.

Abstract: Disclosed is a system and a method for detecting anomaly in a radio access network (RAN). The method includes receiving quality parameters data for a wide communication network established by plurality of base stations associated with the RAN; defining a first radio fingerprint based on the quality parameters data for the wide communication network; monitoring, by one of the base stations installed in a geological area, quality parameters data for a local communication network; defining a second radio fingerprint based on the quality parameters data for the local communication network; comparing the first radio fingerprint and the second radio fingerprint to determine variation in the quality parameters data therebetween; and generating an alert signal indicative of presence of a possible fake base station in the geological area based on the determined variation in the quality parameters data.

Abstract: A method for optimizing fault detection in an Internet of Things (IoT) network includes determining a fault activity associated with an IoT device in IoT network; identifying a location information of IoT device; determining whether fault activity is associated with a mobile network corresponding to the location information; performing one of an automation activity of generating a service ticket for fault correction of mobile network, when fault activity is associated with mobile network, or generating a field service ticket for fault correction of the IoT device, when fault activity is not associated with mobile network. Disclosed also is a system for optimizing fault detection in an IoT network, system comprising a processor configured to perform the steps of the aforementioned method.

Abstract: A method and system for modifying a state of a device using detected anomalous behaviour in a self-exciting point process includes receiving time series data for a time period of the self-exciting point process, selecting a first portion, corresponding to a first time period, from the received time-series data, characterizing a normal behaviour for the first time period of the self-exciting point process, defining a baseline range for the self-exciting point process based, at least in part, on bounds of first point values in the selected first portion, processing a second portion based on the defined baseline range to detect one or more second point values exceeding the defined baseline range being characterized as the one or more anomalous events for at least the second time period of the self-exciting point process and modifying the state of the device based on the characterized one or more anomalous events.

Abstract: A computer implemented method for adjusting a tilt angle of an antenna of a base station of a communications network is provided. The method includes at least: obtaining data related to the base station having user equipment distance data and antenna data; calculating a main radiation beam reach for a first antenna from the antenna data; calculating a characteristic user equipment distance from the user equipment distance data; comparing the calculated main radiation beam reach and the calculated characteristic user equipment distance; and responsive to detecting that the characteristic user equipment distance is greater than the main radiation beam reach, calculating a new antenna tilt angle for the first antenna.

Abstract: A computer implemented method of antenna tilt analysis for a cell of a communication network. The method is performed by collecting performance data from the cell, determining number of bad coverage samples based on the performance data, determining value for a handover overlap parameter based on the performance data, detecting that the number of bad coverage samples and the value of the handover overlap parameter fulfil predetermined criteria, and responsively outputting instructions to change antenna tilt in the cell.

Abstract: A computer-implemented method for automatically detecting a fraud call. A call request is received from a caller device to initiate a voice call with a called device at a local Public Land Mobile Network (PLMN). The call request is identified originating from a foreign Public Land Mobile Network (PLMN). In response to detecting that a caller ID of the caller device is associated to a local Public Land Mobile Network (PLMN), current location information is requested from a database of the local Public Land Mobile Network (PLMN). If the location information indicates the caller device is attached to the foreign Public Land Mobile Network (PLMN), determining the call request as authentic; and if the location information indicates the caller device is attached to the local Public Land Mobile Network (PLMN), determining the call request as fraud.

Abstract: A computer implemented method of cell overlap analysis of a communication network. The method includes determining coverage area of a first and a second cell of the communication network, wherein determination of the coverage area of a cell is based on user distribution in the respective cell; determining intersecting area as an area where the determined coverage area of the first cell and the determined coverage area of the second cell overlap; and determining a first impact value reflecting impact of the overlap on the first cell as a ratio of the determined intersecting area and the determined coverage area of the first cell.

Abstract: A method for optimizing fault detection in an Internet of Things (IoT) network includes determining a fault activity associated with an IoT device in IoT network; identifying a location information of IoT device; determining whether fault activity is associated with a mobile network corresponding to the location information; performing one of an automation activity of generating a service ticket for fault correction of mobile network, when fault activity is associated with mobile network, or generating a field service ticket for fault correction of the IoT device, when fault activity is not associated with mobile network. Disclosed also is a system for optimizing fault detection in an IoT network, system comprising a processor configured to perform the steps of the aforementioned method.

Abstract: Example embodiments may relate to detection of overshooting cells in a radio network. A computer-implemented method may comprise: communicating data traffic via a first cell of a first access node of a communication network, wherein a sector of the first access node comprises the first cell and a second cell of the first access node; restricting amount of data traffic communicated via the first cell; and determining that a third cell of a second access node is overshooting, in response to determining, after restricting the amount of data traffic communicated via the first cell, that at least part of the data traffic is communicated via the third cell and not via the second cell.

Abstract: A method of improving fault tolerance of a network. The network includes a plurality of relay nodes, internet access node and plurality of customer nodes. The method includes identifying first set of relay nodes connecting one of customer nodes to internet access node, selecting a first relay node from first set of relay nodes, to be simulated as a first faulty node in the network, detecting, based on the simulation, number of customer nodes without at least one corresponding network path connecting to the internet access node due to the selection of the first relay node as the first faulty node, determining impact score of the first relay node based on the detected number of customer nodes without at least one corresponding network path connecting to the internet access node, and triggering one or more changes in topology of network according to the impact score to improve fault tolerance of network.

Abstract: A computer implemented method of setting maintenance priority for a set of network devices of communication network. The set of network devices are arranged in an ordered list based on at least one of: customer information and usage information; and maintenance priority classes are dynamically set for the network devices based on the ordered list, wherein there are at least two different maintenance priority classes.

Abstract: A computer implemented method for evaluating effect of a change made in a communication network. The method is performed by comparing values of the performance indicator in a cell of interest before and after the change to obtain a first comparison result; comparing values of the performance indicator in a set of reference cells before and after the change to obtain a second comparison result; and evaluating the effect of the change made in the communication network based on difference between the first comparison result and the second comparison result.

Abstract: Disclosed is a method for managing a cellular network that includes receiving information about a plurality of coverage cells in the cellular network and location coordinates of each coverage cell; generating a triangulation diagram corresponding to the location coordinates of each coverage cell; identifying for a target mapped cell, corresponding to a target coverage cell, neighbouring mapped cells having a shared boundary in the triangulation diagram; determining a length of the shared boundary between the target mapped cell and each one of the neighbouring mapped cells; assigning a ranking to each one of the neighbouring mapped cells based on the corresponding length of the shared boundary with the target mapped cell; and generating a selected neighbour list for the target coverage cell based on the ranking of the corresponding neighbouring mapped cells.

Abstract: A computer implemented method for controlling call capacity in a mobile network. The method includes: activating a mass event mode in a first cell of a first base station, wherein the first cell is a high frequency band cell, and wherein operating in the mass event mode comprises: checking if any low frequency band cells are available in a first sector served by the first cell; and responsive to detecting that one or more low frequency band cells are available, switching, at least some, voice call connections of the users of the first cell to at least some of the available low frequency band cells.