Channel model-based multiple layers satellite-ground integrated data allocation strategy

SONG Yujie; CAO Yue; CHEN Nuo; SUN Zhili

doi:10.11959/j.issn.1000-436x.2024127

您当前的位置：

首页 >

文章列表页 >

Channel model-based multiple layers satellite-ground integrated data allocation strategy

Topics：Low Earth Orbit Satellite Internet | 更新时间：2024-08-09

- Channel model-based multiple layers satellite-ground integrated data allocation strategy
- Journal on Communications Vol. 45, Issue 7, Pages: 70-83(2024)
- 作者机构：
  
  1.武汉大学国家网络安全学院，湖北武汉 430070
  2.萨里大学通信系统研究所，吉尔福德 GU2 7XH
- 作者简介：
- 基金信息：
  
  The National Key Research and Development Program of China(2022YFE0139300);Guangdong Provincial Basic and Applied Basic Research Foundation(2022B1515120067)
- DOI：10.11959/j.issn.1000-436x.2024127
  CLC： TP391
- Received：19 January 2024，
  
  Revised：2024-04-03，
  
  Published：25 July 2024
- 稿件说明：
移动端阅览
宋宇杰,曹越,陈诺等.基于信道建模的多层星地融合数据分配策略[J].通信学报,2024,45(07):70-83.

SONG Yujie,CAO Yue,CHEN Nuo,et al.Channel model-based multiple layers satellite-ground integrated data allocation strategy[J].Journal on Communications,2024,45(07):70-83.
宋宇杰,曹越,陈诺等.基于信道建模的多层星地融合数据分配策略[J].通信学报,2024,45(07):70-83. DOI： 10.11959/j.issn.1000-436x.2024127.

SONG Yujie,CAO Yue,CHEN Nuo,et al.Channel model-based multiple layers satellite-ground integrated data allocation strategy[J].Journal on Communications,2024,45(07):70-83. DOI： 10.11959/j.issn.1000-436x.2024127.

摘要

为了解决空天地一体化网络中面临的星地链路切换效率低、数据分配不均、数据传输中断率高等问题，针对多层卫星架构的星地融合数据传输场景，提出了一种基于信道建模的多层星地融合数据分配策略。该策略考虑星地距离、自由空间路径损失、信道增益、剩余服务时间等因素，基于香农信道容量理论，构建信道模型感知的低地球轨道卫星服务能力量化模型，从而生成数据分配策略。考虑数据传输中断风险，依托数据交互历史信息，通过可靠性确认机制动态调整数据分配策略，以提升数据传输效率，实现中断避免的星地链路无缝切换。仿真结果表明，所提策略在投递率、平均投递时延与中断率方面均优于其他基准算法。

Abstract

To address the problem of inefficient satellite-ground link handover

unbalanced data allocation

and high probability of data transmission interruptions in space-air-ground integrated networks

a channel model-based multiple layers satellite-ground integrated data allocation strategy (CMDAS) was proposed for the satellite-ground integrated data transmission scenario with a multi-layer architecture. Considered various factors

e.g.

the satellite-ground distance

free space path loss

channel gain

and remaining service time

a service capacity quantification model of low earth orbit satellites based on the Shannon’s capacity theory was constructed

thus generating data allocation strategies. Considered the risk of data transmission interruptions with historical interaction information and dynamically adjusted data allocation strategies based on a reliability acknowledgement mechanism

the efficiency of data transmission was improved and satellite-ground link seamless handover with interruption avoidance was realized. The simulation results show that the performances of the proposed strategy outperform other baseline algorithms in terms of delivery ratio

average delivery latency

and interruption ratio.

关键词

Keywords

references

DI B Y , SONG L Y , LI Y H , et al . Ultra-dense LEO: integration of satellite access networks into 5G and beyond [J ] . IEEE Wireless Communications , 2019 , 26 ( 2 ): 62 - 69 .

QIU J F , GRACE D , DING G R , et al . Air-ground heterogeneous networks for 5G and beyond via integrating high and low altitude platforms [J ] . IEEE Wireless Communications , 2019 , 26 ( 6 ): 140 - 148 .

GUIDOTTI A , VANELLI-CORALLI A , CONTI M , et al . Architectures and key technical challenges for 5G systems incorporating satellites [J ] . IEEE Transactions on Vehicular Technology , 2019 , 68 ( 3 ): 2624 - 2639 .

ABDU T S , KISSELEFF S , LAGUNAS E , et al . Flexible resource optimization for GEO multibeam satellite communication system [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 12 ): 7888 - 7902 .

CHEN C , EKICI E . A routing protocol for hierarchical LEO/MEO satellite IP networks [J ] . Wireless Networks , 2005 , 11 ( 4 ): 507 - 521 .

NIEPHAUS C , KRETSCHMER M , GHINEA G . QoS provisioning in converged satellite and terrestrial networks: a survey of the state-of-the-art [J ] . IEEE Communications Surveys & Tutorials , 2016 , 18 ( 4 ): 2415 - 2441 .

JIAO J , WU S H , LU R X , et al . Massive access in space-based Internet of things: challenges, opportunities, and future directions [J ] . IEEE Wireless Communications , 2021 , 28 ( 5 ): 118 - 125 .

CENTENARO M , COSTA C E , GRANELLI F , et al . A survey on technologies, standards and open challenges in satellite IoT [J ] . IEEE Communications Surveys & Tutorials , 2021 , 23 ( 3 ): 1693 - 1720 .

WU Z F , JIN F L , LUO J X , et al . A graph-based satellite handover framework for LEO satellite communication networks [J ] . IEEE Communications Letters , 2016 , 20 ( 8 ): 1547 - 1550 .

FENG L , LIU Y F , WU L , et al . A satellite handover strategy based on MIMO technology in LEO satellite networks [J ] . IEEE Communications Letters , 2020 , 24 ( 7 ): 1505 - 1509 .

ZHANG S B , LIU A J , HAN C , et al . A network-flows-based satellite handover strategy for LEO satellite networks [J ] . IEEE Wireless Communications Letters , 2021 , 10 ( 12 ): 2669 - 2673 .

JUNG D H , RYU J G , BYUN W J , et al . Performance analysis of satellite communication system under the shadowed-Rician fading: a stochastic geometry approach [J ] . IEEE Transactions on Communications , 2022 , 70 ( 4 ): 2707 - 2721 .

DENG R Q , DI B Y , ZHANG H L , et al . Ultra-dense LEO satellite constellation design for global coverage in terrestrial-satellite networks [C ] // Proceedings of the GLOBECOM 2020 - 2020 IEEE Global Communications Conference . Piscataway : IEEE Press , 2020 : 1 - 6 .

GUO C , GONG C , XU H T , et al . A dynamic handover software-defined transmission control scheme in space-air-ground integrated networks [J ] . IEEE Transactions on Wireless Communications , 2022 , 21 ( 8 ): 6110 - 6124 .

MUHAMMAD M , GIAMBENE G , COLA T D . QoS support in SGD-based high throughput satellite networks [J ] . IEEE Transactions on Wireless Communications , 2016 , 15 ( 12 ): 8477 - 8491 .

ZHOU Y K , LIU J , ZHANG R , et al . A congestion-aware handover scheme for LEO satellite networks [C ] // Proceedings of the 2022 IEEE/CIC International Conference on Communications in China (ICCC) . Piscataway : IEEE Press , 2022 : 896 - 901 .

朱洪涛 , 郭庆 . 基于用户群组的低轨卫星网络多星切换策略 [J ] . 电信科学 , 2022 , 38 ( 4 ): 39 - 48 .

ZHU H T , GUO Q . User group based multi-satellite handover strategy for LEO satellite networks [J ] . Telecommunications Science , 2022 , 38 ( 4 ): 39 - 48 .

ZHANG S B , LIU A J , HAN C , et al . A satellite handover strategy based on heuristic algorithm for LEO satellite networks [J ] . IEICE Transactions on Communications , 2022 , 105 ( 7 ): 876 - 884 .

胡家荣 , 李伊陶 , 熊兴中 . 星地链路中基于毫米波大规模MIMO的混合预编码算法研究 [J ] . 无线电工程 , 2024 , 54 ( 5 ): 1063 - 1073 .

HU J R , LI Y T , XIONG X Z . Hybrid precoding algorithm based on millimeter wave massive MIMO in satellite-terrestrial links [J ] . Radio Engineering , 2024 , 54 ( 5 ): 1063 - 1073 .

戴翠琴 . 基于协作的空间信息传输机制研究 [D ] . 沈阳 : 东北大学 , 2019 .

DAI C Q . Research on cooperation-based space information transmission mechanisms [D ] . Shenyang : Northeastern University , 2019 .

KANELLOPOULOS S A , KOUROGIORGAS C I , PANAGOPOULOS A D , et al . Channel model for satellite communication links above 10GHz based on weibull distribution [J ] . IEEE Communications Letters , 2014 , 18 ( 4 ): 568 - 571 .

LI K X , YOU L , WANG J H , et al . Downlink transmit design for massive MIMO LEO satellite communications [J ] . IEEE Transactions on Communications , 2022 , 70 ( 2 ): 1014 - 1028 .

IVANOV A , BYCHKOV R , TCATCORIN E . Spatial resource management in LEO satellite [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 12 ): 15623 - 15632 .

左珮良 , 侯少龙 , 郭超 , 等 . 基于强化学习的多层卫星网络边缘安全决策方法 [J ] . 通信学报 , 2022 , 43 ( 6 ): 189 - 199 .

ZUO P L , HOU S L , GUO C , et al . Security decision method for the edge of multi-layer satellite network based on reinforcement learning [J ] . Journal on Communications , 2022 , 43 ( 6 ): 189 - 199 .

邓旭 , 朱立东 . 多用户场景下卫星网络匹配博弈资源分配策略 [J ] . 无线电通信技术 , 2019 , 45 ( 6 ): 615 - 621 .

DENG X , ZHU L D . Resource allocation strategy of satellite network matching game in multi-user scenario [J ] . Radio Communications Technology , 2019 , 45 ( 6 ): 615 - 621 .

KERANEN A , OTT J , KARKKAINEN T . The ONE simulator for DTN protocol evaluation [C ] // Proceedings of 2nd International Conference on Simulation Tools and Techniques . Rome : ICST Press , 2009 : 1 - 10 .

XU H H , LI D S , LIU M L , et al . QoE-driven intelligent handover for user-centric mobile satellite networks [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 9 ): 10127 - 10139 .

ABDI A , LAU W C , ALOUINI M S , et al . A new simple model for land mobile satellite channels: first- and second-order statistics [J ] . IEEE Transactions on Wireless Communications , 2003 , 2 ( 3 ): 519 - 528 .

KAMAL S , MAHMOUD S . A study of users’ buffer variations in random access satellite channels [J ] . IEEE Transactions on Communications , 1979 , 27 ( 6 ): 857 - 868 .

HE J F , JIANG Y , BIAN D M , et al . Routing strategy research based on ISL states and topology snapshot in LEO satellite constellation [C ] // Proceedings of the 2008 11th IEEE International Conference on Communication Technology . Piscataway : IEEE Press , 2008 : 13 - 16 .

Views

938

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on delay upper bound analysis based on network calculus for LEO satellite network

Federated deep reinforcement learning-based edge collaborative caching strategy in space-air-ground integrated network

Handover algorithm for space-air-ground integrated network based on location prediction model

Vertical handover policy for cyber-physical systems aided by SAGIN based on deep reinforcement learning

Channel modeling of molecular communication via free diffusion with multiple receiver

Related Author

SUN Kewen

WANG Zhuoqun

LIN Shangjing

WANG Jianquan

SUN Lei

WANG Huizi

MA Wenjie

YAN Hongcheng

Related Institution

School of Automation and Electrical Engineering, University of Science and Technology Beijing

Institute of Industrial Internet, University of Science and Technology Beijing

School of Electronic Engineering, Beijing University of Posts and Telecommunications

Faculty of Engineering & Digital Technologies, University of Bradford

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications

AI问答

⁰