A SYSTEM COMPRISING A COMMUNICATION NETWORK AND A DRONE PROVISIONING SYSTEM AND A METHOD THEREOF
A system comprising a communication network and a drone provisioning system, the communication network comprising a network modelling sub-system and a network behavior comparison algorithm, the drone provisioning system comprising a drone platoon sub-system comprising a set of drones, wherein the se...
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Format: | Patent |
Sprache: | eng ; fre ; ger |
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Zusammenfassung: | A system comprising a communication network and a drone provisioning system, the communication network comprising a network modelling sub-system and a network behavior comparison algorithm, the drone provisioning system comprising a drone platoon sub-system comprising a set of drones, wherein the set of drones comprises at least a surveillance drone and a communication drone, a surveillance drone routing algorithm, an anomalous behavior detection and prediction algorithm and a communication drone placement algorithm, wherein: the network modelling sub-system is configured to create a predictive model of subscriber behavior in terms of network traffic; the network behavior comparison algorithm is configured to compare the predicted model of subscriber behavior, with real network traffic and output a result of the comparison to the drone provisioning system; the surveillance drone routing algorithm is configured to send one or more surveillance drone routing requests to the drone platoon sub-system, based on the result of the comparison; the drone platoon sub-system is configured to deploy one or more surveillance drones to an anomaly location specified by the one or more surveillance drone routing requests, wherein the deployed drone or drones are configured to: perform surveillance at the anomaly location, collect surveillance information, assess the reason for the anomaly, provide temporary additional service capabilities, and send the surveillance information and reason for the anomaly to the anomalous behavior detection and prediction algorithm; the anomalous behavior detection and prediction algorithm is configured to: detect anomalous behavior based on the surveillance information and the reason for the anomaly, predict future capacity requirements and future subscriber behavior, based on the above information, and send the predicted future capacity requirements to the communication drone placement algorithm; the communication drone placement algorithm is configured to: calculate an optimal placement of one or more communication drones to meet current and predicted network capacity requirements, based on available resources and the predicted future network capacity requirements, send one or more communication drone routing requests, for communication drone routing and placement for provision of network capacity, to the drone platoon sub-system; the drone platoon sub-system is configured to optimally deploy communication drones to an anomaly location s |
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