Invention Grant
- Patent Title: Parameter selection for network communication links using reinforcement learning
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Application No.: US16998102Application Date: 2020-08-20
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Publication No.: US11234141B2Publication Date: 2022-01-25
- Inventor: Sharath Ananth , Jin Zhang
- Applicant: SoftBank Corp.
- Applicant Address: JP Tokyo
- Assignee: SoftBank Corp.
- Current Assignee: SoftBank Corp.
- Current Assignee Address: JP Tokyo
- Agency: Botos Churchill IP Law LLP
- Main IPC: H04W24/02
- IPC: H04W24/02 ; G06N3/08 ; H04W76/10 ; 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 determining an implementation policy for the communication network based on the input data. The implementation policy is a set of features for forming one or more communication links in the communication network over a time interval. The one or more communication links includes at least one communication link between a terrestrial terminal and a high-altitude platform terminal. Determining the implementation 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 implementation policy in the time interval.
Public/Granted literature
- US20200382971A1 PARAMETER SELECTION FOR NETWORK COMMUNICATION LINKS USING REINFORCEMENT LEARNING Public/Granted day:2020-12-03
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