Method and system for edge server selection for in-vehicle media content distribution with deep reinforcement learning

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United States of America Patent

PATENT NO 11902611
APP PUB NO 20230283827A1
SERIAL NO

17683798

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Abstract

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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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Patent Owner(s)

Patent OwnerAddress
TOYOTA JIDOSHA KABUSHIKI KAISHA1 TOYOTA-CHO TOYOTA-SHI AICHI-KEN 471-8571

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Ganlath, Akila C Agua Dulce, US 13 5
Huang, Siqi Charlotte, US 6 0
Tiwari, Prashant Santa Clara, US 80 116
Wang, Haoxin Charlotte, US 15 2

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