Intelligent Multi-Objective Routing for Future Ultra-Dense LEO Satellite Networks

被引：3

作者：

Zhou, Xueming ^{[1
]}

Weng, Yuxuan ^{[1
]}

Mao, Bomin ^{[1
,2
]}

Liu, Jiajia ^{[1
]}

Kato, Nei ^{[3
]}

机构：

[1] Northwestern Polytech Univ, Sch Cybersecur, Xian, Peoples R China

[2] Northwestern Polytech Univ, Yangtze River Delta Res Inst, Xian, Peoples R China

[3] Tohoku Univ, Grad Sch Informat Sci, Sendai, Japan

来源：

IEEE WIRELESS COMMUNICATIONS | 2024年

关键词：

Satellites; Low earth orbit satellites; Routing; Satellite broadcasting; Quality of service; Measurement; Heuristic algorithms;

D O I：

10.1109/MWC.010.2300353

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Ultra-dense low Earth orbit (LEO) satellite communications have been regarded as an important solution for 6G to provide seamless and high-throughput network services. However, the qualified data transmissions among satellites are challenged by the routing policy design which is significantly difficult due to the ultra density, high dynamics, complex inter-satellite links (ISLs), and diversified quality of service (QoS) requirements. In this article, we discuss the difficulties in routing policy design for future free space optical (FSO) communication-enabled LEO satellite networks. An intelligent multi-objective routing strategy is proposed to meet the diversified service requirements. The simulation results evaluate the adaptability of the proposal to networks with different numbers of FSO terminals on satellites, as well as the advantages over benchmark methods. Moreover, the potential future directions are also discussed to encourage more meaningful research.

引用

页码：1 / 8

页数：8

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