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    • 5. 发明申请
    • CLOSED-LOOP OPTIMIZATION OF A WIRELESS NETWORK USING AN AUTONOMOUS VEHICLE
    • 使用自动车辆进行无线网络的闭环优化
    • WO2017011412A1
    • 2017-01-19
    • PCT/US2016/041805
    • 2016-07-11
    • CISCO TECHNOLOGY, INC.
    • SINGH, BaljitSUTHAR, Om Prakash
    • H04W24/02H04W24/10
    • H04W4/40H04B7/18506H04L43/16H04W4/02H04W4/04H04W24/02H04W24/08H04W24/10H04W28/0289H04W72/048H04W84/18
    • 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.
    • 本文的实施例使用实时闭环系统来优化无线网络。 该系统包括由自组织网络(SON)控制的无人机以检索对应于无线网络的RF数据。 在一个实施例中,SON向无人机提供穿过无线网络的覆盖区域的预定路径。 当无人机穿过路径时,安装在无人机上的RF扫描仪收集RF数据。 无人机将该数据发送到处理RF数据的SON,以识别无线网络中的问题(例如,小区塔干扰)。 SON产生用于校正所识别的问题的一个或多个动作,并将这些动作发送到无线网络控制器。 一旦无线网络控制器执行动作,SON指示无人机重新遍历路径的一部分,以确定问题是否已经解决。