Invention Grant
- Patent Title: Method and system for edge server selection for in-vehicle media content distribution with deep reinforcement learning
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Application No.: US17683798Application Date: 2022-03-01
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Publication No.: US11902611B2Publication Date: 2024-02-13
- Inventor: Siqi Huang , Haoxin Wang , Akila C. Ganlath , Prashant Tiwari
- Applicant: Toyota Motor Engineering & Manufacturing North America, Inc.
- Applicant Address: US TX Plano
- Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
- Current Assignee: Toyota Motor Engineering & Manufacturing North America, Inc.
- Current Assignee Address: US TX Plano
- Agency: DINSMORE & SHOHL LLP
- Main IPC: H04N21/414
- IPC: H04N21/414 ; H04N21/24 ; H04N21/466

Abstract:
A method is provided including receiving a planned route of a vehicle and a request to download content from a cloud server, the planned route traveling through an area covered by a plurality of edge servers, determining a state comprising possible connections between the vehicle and each of the plurality of edge servers at a plurality of time steps during the planned route, inputting the state to a trained model, the model being trained to output an action comprising a partition of the content across the plurality of edge servers that minimizes latency of transmission of the content from the cloud server to the vehicle via the plurality of edge servers, based on the state, and partitioning the content across the plurality of edge servers based on the action out by the trained mode.
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Information query