Abstract

Low earth orbit (LEO) satellite communication networks require huge load capacity and information processing speed to carry global communication traffic. Inter-satellite links and the on-board processing are the key technologies to achieve this goal, but the new network architecture leads to great challenges on satellite routing. This paper designs a hybrid inter-satellite link with the same-orbit laser and the different-orbit microwave to increase the link capacity and adopts a CPU centralized scheduling to improve the utilization of computing resources. Then, this paper establishes minimum delay function by considering the inter-satellite transmission delay and the on-board processing delay. The transmission delay model bases on the orbital period, and the processing delay adopts the multi-services model, the limited-capacity single-service model, and the unlimited-capacity single-service model in the queuing theory to model the on-board CPU centralized scheduling, photoelectric converters, and electro-optical converters, respectively. Based on this model, this paper proposes an inter-satellite routing strategy with modified Q-routing algorithm. The modified algorithm uses Dijkstra algorithm to accelerate the convergence of Q-routing algorithm and retains the strong real-time performance of Q-routing algorithm. Simulations show that the delay of the modified algorithm is 83.3% lower than that of the Dijkstra algorithm, and the larger the network and the traffic, the more obvious the advantage.

Details

Title
LEO laser microwave hybrid inter-satellite routing strategy based on modified Q-routing algorithm
Author
Zheng, Fei 1 ; Wang, Chao 2 ; Zou, Zhou 2   VIAFID ORCID Logo  ; Zhao, Pi 2 ; Huang, Dongyan 2 

 Guilin University of Electronic Technology, Ministry of Education Key Laboratory of Cognitive Radio and Information Processing, Guilin, China (GRID:grid.440723.6) (ISNI:0000 0001 0807 124X); Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, Beijing, China (GRID:grid.31880.32) (ISNI:0000 0000 8780 1230) 
 Guilin University of Electronic Technology, Ministry of Education Key Laboratory of Cognitive Radio and Information Processing, Guilin, China (GRID:grid.440723.6) (ISNI:0000 0001 0807 124X) 
Publication year
2022
Publication date
Dec 2022
Publisher
Springer Nature B.V.
ISSN
16871472
e-ISSN
16871499
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2650316671
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.