Invention Grant
- Patent Title: Operation of sectorized communications from aerospace platforms using reinforcement learning
-
Application No.: US17087933Application Date: 2020-11-03
-
Publication No.: US11202214B2Publication Date: 2021-12-14
- Inventor: Sharath Ananth , Brian Barritt , Jin Zhang
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Agency: Botos Churchill IP Law, LLP
- Main IPC: H04B7/185
- IPC: H04B7/185 ; H04W24/00 ; G06N3/02 ; H04W4/00 ; H04W24/02 ; G06N3/08 ; H04W84/06

Abstract:
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.
Public/Granted literature
- US20210127280A1 Operation Of Sectorized Communications From Aerospace Platforms Using Reinforcement Learning Public/Granted day:2021-04-29
Information query