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Operation Of Sectorized Communications From Aerospace Platforms Using Reinforcement Learning

机译:使用强化学习从航空航天平台进行部门通信的操作

摘要

The disclosure provides a method of operating a communication network. The method includes receiving input data related to a state of the communication network and operation of the communication network. The method then includes determining a policy for the communication network based on the input data. The policy is a set of features for forming a plurality of communication links in the communication network over a time interval. The plurality of communication links provides one or more paths through the communication network. Determining the policy is based at least in part on utility values of previous policies. The utility values of previous policies are derived using simulation and/or real-world implementation of the previous policies. The communication network is then operated to implement the policy in the time interval.
机译:本公开提供了一种操作通信网络的方法。该方法包括接收与通信网络的状态和通信网络的操作有关的输入数据。该方法然后包括基于输入数据确定用于通信网络的策略。该策略是用于在一定时间间隔内在通信网络中形成多个通信链路的一组功能。多个通信链路提供通过通信网络的一个或多个路径。确定策略至少部分基于先前策略的效用值。先前策略的效用值是使用先前策略的模拟和/或实际实现而得出的。然后,操作通信网络以在该时间间隔内实施该策略。

著录项

  • 公开/公告号US2020196167A1

    专利类型

  • 公开/公告日2020-06-18

    原文格式PDF

  • 申请/专利权人 LOON LLC;

    申请/专利号US201916593536

  • 发明设计人 SHARATH ANANTH;BRIAN BARRITT;JIN ZHANG;

    申请日2019-10-04

  • 分类号H04W24/02;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-21 11:25:03

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