Abstract: Embodiments herein use a real-time system to conduct a line of sight (LOS) survey between radio sites. The system includes a drone controlled by a UAV LOS System (ULS) server to gather information regarding the LOS path between the radio sites. In one embodiment, the ULS server instructs the UAV to travel a LOS path between a first location and a second location, and determine a Fresnel radius at one or more defined locations along the LOS path between the first location and the second location. The ULS server determines a Fresnel zone between the first location and second location based in part on the determined Fresnel radius for each of the defined locations along the LOS path. The ULS server evaluates the Fresnel zone to determine if the LOS path can support a LOS wireless communication link.

Abstract: Embodiments herein describe a system that includes an autonomous vehicle (referred to herein as a drone) which is controlled by a self-organizing network (SON) to expand the capabilities of a cellular network in real time. In one embodiment, the SON monitors the cellular network and identifies congestion or capacity issues where the cell towers covering the geographic region may be unable to satisfy the large number of requests for data by the users in the region. Once a congestion or capacity issue is detected, the SON determines whether dispatching a drone access point (AP) may improve or resolve the issue. In one example, the drone AP is an autonomous vehicle that includes a radio that permits the drone to serve as a mobile cell site for the cellular network.

Abstract: Embodiments herein use a real-time closed-loop system to optimize a wireless network. The system includes a drone controlled by a self-organizing network (SON) to retrieve RF data corresponding to the wireless network. In one embodiment, the SON provides the drone with a predetermined path through the coverage area of the wireless network. As the drone traverses the path, a RF scanner mounted on the drone collects RF data. The drone transmits this data to the SON which processes the RF data to identify problems in the wireless network (e.g., cell tower interference). The SON generates one or more actions for correcting the identified problem and transmits these actions to a wireless network controller. Once the wireless network controller performs the action, the SON instructs the drone to re-traverse the portion of the path to determine if the problem has been resolved.

Abstract: Embodiments herein use a real-time closed-loop system to optimize a wireless network. The system includes a drone controlled by a self-organizing network (SON) to retrieve RF data corresponding to the wireless network. In one embodiment, the SON provides the drone with a predetermined path through the coverage area of the wireless network. As the drone traverses the path, a RF scanner mounted on the drone collects RF data. The drone transmits this data to the SON which processes the RF data to identify problems in the wireless network (e.g., cell tower interference). The SON generates one or more actions for correcting the identified problem and transmits these actions to a wireless network controller. Once the wireless network controller performs the action, the SON instructs the drone to re-traverse the portion of the path to determine if the problem has been resolved.