Towards Spatial Location Aided Fully-Distributed Dynamic Routing for LEO Satellite Networks
Author:
Affiliation:
1. School of Communication and Information Engineering Chongqing University of Posts and Telecommunications,Chongqing,China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Chongqing
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001698.pdf?arnumber=10001698
Reference17 articles.
1. Optimizing Data Center Energy Efficiency via Event-Driven Deep Reinforcement Learning
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4. Optimizing Energy Efficiency for Data Center via Parameterized Deep Reinforcement Learning
5. Distributed Load-Aware Routing in LEO Satellite Networks
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1. Enabling High-Throughput Routing for LEO Satellite Broadband Networks: A Flow-Centric Deep Reinforcement Learning Approach;IEEE Internet of Things Journal;2024-09-01
2. A stable satellite routing algorithm based on a-star algorithm in dynamic networks;Journal of Physics: Conference Series;2024-07-01
3. Reinforcement Learning Environment for Wavefront Sensorless Adaptive Optics in Single-Mode Fiber Coupled Optical Satellite Communications Downlinks;Photonics;2023-12-13
4. Deep Reinforcement Learning Based Dynamic Routing Optimization for Delay-Sensitive Applications;GLOBECOM 2023 - 2023 IEEE Global Communications Conference;2023-12-04
5. Demand Island Routing for LEO satellite constellations;Computer Networks;2023-04
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