Multi-Commodity Flow Routing for Large-Scale LEO Satellite Networks Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Multi-Commodity Flow Routing for Large-Scale LEO Satellite Networks Using Deep Reinforcement Learning

Published:2022-04-10 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Wireless Communications and Networking Conference (WCNC)
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Author:

Tsai Kai-Chu¹,Fan Lei²,Wang Li-Chun³,Lent Ricardo²,Han Zhu¹

Affiliation:

1. University of Houston,Department of Electrical and Computer Engineering

2. University of Houston,Department of Engineering Technology

3. National Yang Ming Chiao Tung University,Department of Electrical Computer Engineering

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9771381/9771540/09771734.pdf?arnumber=9771734

Reference10 articles.

1. A dynamic routing concept for ATM-based satellite personal communication networks

2. Using ground relays for low-latency wide-area routing in megaconstellations

3. DRL-ER: An intelligent energy-aware routing protocol with guaranteed delay bounds in satellite mega-constellations;liu;IEEE Transactions on Network Science and Engineering,2020

4. Machine Learning for Networking: Workflow, Advances and Opportunities

5. Routing in a delay tolerant network

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