Abstract: There are provided a method of managing radio connectivity of a vehicle and a system thereof. The method comprises: continuously receiving by vehicle's telematic system a predictive model generated by remote system using data continuously collected from a plurality of vehicles, wherein the collected data comprise, for each given vehicle of the plurality of vehicles, data informative of its location, speed and of Radio Access Technology (RAT)-related measurements; and, responsive to a predefined event, applying, by the telematic system, a lastly received predictive model to current values of a predefined set of inputs associated with the vehicle to obtain instructions and respectively provide corrective actions related to radio connectivity of the vehicle.

Abstract: There are provided a method of managing radio connectivity of a vehicle and a system thereof. The method comprises: continuously receiving by vehicle's telematic system a predictive model generated by remote system using data continuously collected from a plurality of vehicles, wherein the collected data comprise, for each given vehicle of the plurality of vehicles, data informative of its location, speed and of Radio Access Technology (RAT)-related measurements; and, responsive to a predefined event, applying, by the telematic system, a lastly received predictive model to current values of a predefined set of inputs associated with the vehicle to obtain instructions and respectively provide corrective actions related to radio connectivity of the vehicle.

Abstract: There are provided a method of managing radio connectivity of a vehicle and a system thereof. The method comprises: continuously receiving by vehicle's telematic system a predictive model generated by remote system using data continuously collected from a plurality of vehicles, wherein the collected data comprise, for each given vehicle of the plurality of vehicles, data informative of its location, speed and of Radio Access Technology (RAT)-related measurements; and, responsive to a predefined event, applying, by the telematic system, a lastly received predictive model to current values of a predefined set of inputs associated with the vehicle to obtain instructions and respectively provide corrective actions related to radio connectivity of the vehicle.

Abstract: There are provided a method of managing radio connectivity of a vehicle and a system thereof. The method comprises: continuously receiving by vehicle's telematic system a predictive model generated by remote system using data continuously collected from a plurality of vehicles, wherein the collected data comprise, for each given vehicle of the plurality of vehicles, data informative of its location, speed and of Radio Access Technology (RAT)-related measurements; and, responsive to a predefined event, applying, by the telematic system, a lastly received predictive model to current values of a predefined set of inputs associated with the vehicle to obtain instructions and respectively provide corrective actions related to radio connectivity of the vehicle.

Abstract: There are provided a system and a method of controlling traffic in a cellular network comprising a plurality of controlled access points (APs) configured to serve passengers in one or more trains moving in accordance with a train schedule. The method comprises: prior to a scheduled event associated with an expected substantive increase of passengers to be served by an AP, obtaining expected classification results indicative of an expected, during the scheduled event, load of the AP with respect to a downlink and/or uplink load thresholds; and at a scheduled time enabling providing pre-configured provisioning actions in accordance with the expected classification results. The method can further comprise collecting data informative of moving, responsive to moving the one or more trains in accordance with the train schedule, load between APs; and processing the collected data to obtain data informative of the expected load of the AP during the scheduled event.

Abstract: There are provided a system and a method of controlling traffic in a cellular network comprising a plurality of controlled access points (APs) configured to serve passengers in one or more trains moving in accordance with a train schedule. The method comprises: prior to a scheduled event associated with an expected substantive increase of passengers to be served by an AP, obtaining expected classification results indicative of an expected, during the scheduled event, load of the AP with respect to a downlink and/or uplink load thresholds; and at a scheduled time enabling providing pre-configured provisioning actions in accordance with the expected classification results. The method can further comprise collecting data informative of moving, responsive to moving the one or more trains in accordance with the train schedule, load between APs; and processing the collected data to obtain data informative of the expected load of the AP during the scheduled event.

Abstract: There are provided a system and method of computerized optimizing neighbor relation tables (NRTs) of access points in a cellular network comprising a plurality of access points (APs). The method comprises: a) obtaining initial handover-related estimations for AP pairs each constituted by a given source AP and its neighbouring APs located in a predefined range and thereby considerable as candidates for an NRT of the given AP; b) generating a handover (HO) prediction model; c) using the generated HO prediction model to assess HO-related counts for each AP pair of the AP pairs; d) using the assessed HO-related counts to generate, by the computer, data usable for NRT optimization; and e) enabling modifying at least one NRT in accordance with the generated data.

Abstract: There are provided a method of controlling traffic in a cellular network comprising a plurality of controlled access points (APs) and a system thereof.

Abstract: There is provided a method of operating a self-organizing network and system thereof. The method comprises processing data informative of network events with regard to the one or more access points and respectively served clients, thereby periodically associating the clients with the one or more access points; periodically assessing to each access point a value indicative of a privilege level of a given access point, the value being a function of priority values assigned to clients associated with the given access point during an assessing period; and using the assessed values for periodically identifying at least one access point requiring at least one corrective action in consideration of its privilege level. The method can further comprise periodically reassigning at least part of priority values to be used for assessing the values to the one or more access points, wherein reassigning comprises processing data periodically received by the SON system.

Abstract: There is provided a method of operating a self-organizing network and system thereof. The method comprises processing data informative of network events with regard to the one or more access points and respectively served clients, thereby periodically associating the clients with the one or more access points; periodically assessing to each access point a value indicative of a privilege level of a given access point, the value being a function of priority values assigned to clients associated with the given access point during an assessing period; and using the assessed values for periodically identifying at least one access point requiring at least one corrective action in consideration of its privilege level. The method can further comprise periodically reassigning at least part of priority values to be used for assessing the values to the one or more access points, wherein reassigning comprises processing data periodically received by the SON system.

Abstract: There are provided a system and method of computerized optimizing neighbor relation tables (NRTs) of access points in a cellular network comprising a plurality of access points (APs). The method comprises: a) obtaining initial handover-related estimations for AP pairs each constituted by a given source AP and its neighbouring APs located in a predefined range and thereby considerable as candidates for an NRT of the given AP; b) generating a handover (HO) prediction model; c) using the generated HO prediction model to assess HO-related counts for each AP pair of the AP pairs; d) using the assessed HO-related counts to generate, by the computer, data usable for NRT optimization; and e) enabling modifying at least one NRT in accordance with the generated data.

Abstract: There is provided a method of operating a self-organizing network and system thereof. The method comprises processing data informative of network events with regard to the one or more access points and respectively served clients, thereby periodically associating the clients with the one or more access points; periodically assessing to each access point a value indicative of a privilege level of a given access point, the value being a function of priority values assigned to clients associated with the given access point during an assessing period; and using the assessed values for periodically identifying at least one access point requiring at least one corrective action in consideration of its privilege level. The method can further comprise periodically reassigning at least part of priority values to be used for assessing the values to the one or more access points, wherein reassigning comprises processing data periodically received by the SON system.

Abstract: There is provided a method of analyzing data collected in a cellular network and system thereof. The method comprises: repeatedly processing a first subset of the collected data to geo-locate mobile devices, thereby giving rise to geo-location data informative of geo-located mobile devices and associated time-stamped geo-locations thereof, wherein geo-locating is provided with the help of a geo-locating transformation function generated by unsupervised learning, by the processor, of a second subset of the collected data.

Abstract: There is provided a computer-implemented method for selecting an electrical tilt angle for at least one cellular antenna comprising: receiving at least one parameter indicative of mobile client resource use associated with at least one cellular antenna, the at least one cellular antenna being part of a plurality of antennas arranged in at least one cluster as part of a cellular network; and iteratively adjusting an electrical tilt angle of the at least one antenna so that the at least one parameter indicative of client resource use is maintained within at least one predefined threshold, thereby providing users of the mobile clients of the at least one cellular antenna with at least a level of service within the at least one predefined threshold.

Abstract: There is provided a method of operating a self-organizing network and system thereof. The method comprises processing data informative of network events with regard to the one or more access points and respectively served clients, thereby periodically associating the clients with the one or more access points; periodically assessing to each access point a value indicative of a privilege level of a given access point, the value being a function of priority values assigned to clients associated with the given access point during an assessing period; and using the assessed values for periodically identifying at least one access point requiring at least one corrective action in consideration of its privilege level. The method can further comprise periodically reassigning at least part of priority values to be used for assessing the values to the one or more access points, wherein reassigning comprises processing data periodically received by the SON system.

Abstract: There are provided a method of controlling traffic in a cellular network comprising a plurality of controlled access points (APs) and a system thereof.

Abstract: There is provided a method of analysing data collected in a cellular network and system thereof. The method comprises: repeatedly processing a first subset of the collected data to geo-locate mobile devices, thereby giving rise to geo-location data informative of geo-located mobile devices and associated time-stamped geo-locations thereof, wherein geo-locating is provided with the help of a geo-locating transformation function generated by unsupervised learning, by the processor, of a second subset of the collected data.

Abstract: There is provided a computer-implemented method for selecting an electrical tilt angle for at least one cellular antenna comprising: receiving at least one parameter indicative of mobile client resource use associated with at least one cellular antenna, the at least one cellular antenna being part of a plurality of antennas arranged in at least one cluster as part of a cellular network; and iteratively adjusting an electrical tilt angle of the at least one antenna so that the at least one parameter indicative of client resource use is maintained within at least one predefined threshold, thereby providing users of the mobile clients of the at least one cellular antenna with at least a level of service within the at least one predefined threshold.