Joint Optimization of Remote Sensing Pulse Frequency and Data Relay Routing Toward Integrated Communication and Remote Sensing Satellite Networks

Yuan Zhe; Guo Chongtao; Zhao Bo

doi:10.11959/j.issn.2096-8930.2026008

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Joint Optimization of Remote Sensing Pulse Frequency and Data Relay Routing Toward Integrated Communication and Remote Sensing Satellite Networks

Special Issue\: Satellite Internet Constellation Design and Simulation Technologies | 更新时间：2026-03-31

- Joint Optimization of Remote Sensing Pulse Frequency and Data Relay Routing Toward Integrated Communication and Remote Sensing Satellite Networks
- Space-Integrated-Ground Information Networks Vol. 7, Issue 1, Pages: 71-79(2026)
- 作者机构：
  
  深圳大学电子与信息工程学院，广东深圳518060
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62571342;62431021);GuangDong Basic and Applied Basic Research Foundation(2025B1515020076);The Foundation of Shenzhen City(JCYJ20230808105359045)
- DOI：10.11959/j.issn.2096-8930.2026008
  CLC： TN927
- Received：20 August 2025，
  
  Revised：2025-12-01，
  
  Published：20 March 2026
- 稿件说明：
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原哲,郭重涛,赵博.通遥一体卫星网络中的遥感脉冲频率与数据回传路由联合优化[J].天地一体化信息网络,2026,07(01):71-79.

Yuan Zhe,Guo Chongtao,Zhao Bo.Joint Optimization of Remote Sensing Pulse Frequency and Data Relay Routing Toward Integrated Communication and Remote Sensing Satellite Networks[J].Space-Integrated-Ground Information Networks,2026,07(01):71-79.
原哲,郭重涛,赵博.通遥一体卫星网络中的遥感脉冲频率与数据回传路由联合优化[J].天地一体化信息网络,2026,07(01):71-79. DOI： 10.11959/j.issn.2096-8930.2026008.

Yuan Zhe,Guo Chongtao,Zhao Bo.Joint Optimization of Remote Sensing Pulse Frequency and Data Relay Routing Toward Integrated Communication and Remote Sensing Satellite Networks[J].Space-Integrated-Ground Information Networks,2026,07(01):71-79. DOI： 10.11959/j.issn.2096-8930.2026008.

摘要

传统的通信卫星与遥感卫星通常独立运行，导致轨道、能量等资源利用率较低，且难以满足全球范围内的实时遥感需求。为提升资源利用率与网络整体性能，开展了通遥一体卫星网络的遥感脉冲频率与数据回传路由联合优化研究。首先，鉴于卫星的动态特性和可预测性周期运动，采用时间扩展图对卫星网络进行建模。其次在卫星成像和数据传输模型的基础上，构建一个能量和传输时隙约束下最大化脉冲重复频率的混合整数线性规划问题，同时针对该问题的高复杂度，提出一种基于Benders分解的求解算法，通过将原问题分解为主问题和子问题，降低问题复杂度并提高求解效率。最后开展仿真分析，仿真结果验证了所提算法的合理性和有效性，为通遥一体卫星网络的研究提供了参考依据。

Abstract

Traditional communication satellites and remote sensing satellites typically operate independently

not only resulting in low utilization of orbital

energy

and other resources

but also making it difficult to meet the demand for real-time global remote sensing. To enhance resource utilization and overall network performance

this study conducted research on the joint optimization of remote sensing pulse frequency and data backhaul routing for an integrated communication and remote sensing satellite network. Firstly

considering the dynamic characteristics and predictable periodic motion of satellites

the time-expanded graph was employed to model the satellite network. Selondly

based on satellite imaging and data transmission models

a mixed-integer linear programming problem was formulated to maximize the pulse repetition frequency under energy and transmission time-slot constraints. Meanwhile

to address the high computational complexity of the problem

a solution algorithm based on Benders decomposition was proposed

which decomposed the original problem into a master problem and a subproblem

thereby reducing computational complexity and improving efficiency. Finally

simulation analyses were performed

and the results verified the rationality and effectiveness of the proposed algorithm

providing a valuable reference for the study of integrated communication and remote sensing satellite networks.

关键词

Keywords

references

Sheng M , Guo C T , Huang L . Integrated communication, navigation, and remote sensing in LEO networks with vehicular applications [J ] . IEEE Wireless Communications , 2025 , 32 ( 3 ): 140 - 147 .

Lu H C , Gui Y Q , Jiang X D , et al . Compressed robust transmission for remote sensing services in space information networks [J ] . IEEE Wireless Communications , 2019 , 26 ( 2 ): 46 - 54 .

Qiu L , Chen Q , Chen S Y , et al . Priority-aware parallel transmission toward dense satellite remote sensing and communication integrated networks [J ] . IEEE Transactions on Cognitive Communications and Networking , 2025 , 11 ( 3 ): 1788 - 1802 .

李德仁 , 王密 , 仵倩玉 . 论智能遥感卫星的"快、准、灵"应用服务 [J ] . 先进小卫星技术（中英文） , 2024 , 1 ( 1 ): 1 - 9 .

Li D R , Wang M , Wu Q Y . On the "fast, accurate and flexible" application services of intelligent remote sensing satellites [J ] . Advanced Small Satellite Technology , 2024 , 1 ( 1 ): 1 - 9 .

苏文博 , 张驰 , 王妮炜 , 等 . 天地一体通遥融合架构及其应用设想 [J ] . 天地一体化信息网络 , 2024 , 5 ( 2 ): 77 - 84 .

Su W B , Zhang C , Wang N W , et al . The integrated architecture of space-ground communication and remote sensing and its application concept [J ] . Space Integrated Ground Information Networks , 2024 , 5 ( 2 ): 77 - 84 .

许文嘉 , 王一旭 , 彭木根 . 卫星遥感与6G通信遥感一体化 [J ] . 电信科学 , 2023 , 39 ( 4 ): 60 - 70 .

Xu W J , Wang Y X , Peng M G . Integration of satellite remote sensing and 6G communication remote sensing [J ] . Telecommunications Science , 2023 , 39 ( 4 ): 60 - 70 .

Jia X H , Lyu T , He F , et al . Collaborative data downloading by using inter-satellite links in LEO satellite networks [J ] . IEEE Transactions on Wireless Communications , 2017 , 16 ( 3 ): 1523 - 1532 .

Wang P , Li H Y , Chen B B , et al . Enhancing earth observation throughput using inter-satellite communication [J ] . IEEE Transactions on Wireless Communications , 2022 , 21 ( 10 ): 7990 - 8006 .

Wang Y , Sheng M , Zhuang W H , et al . Multi-resource coordinate scheduling for earth observation in space information networks [J ] . IEEE Journal on Selected Areas in Communications , 2018 , 36 ( 2 ): 268 - 279 .

Zhong X Q , Guo N X , Li A S , et al . Link topology and multi-objective mission flow optimization for remote sensing satellites with inter-layer links and satellite-ground links [J ] . IEEE Transactions on Vehicular Technology , 2024 , 73 ( 10 ): 15621 - 15635 .

Zhou D , Sheng M , Zhu Y , et al . Mission QoS and satellite service lifetime tradeoff in remote sensing satellite networks [J ] . IEEE Wireless Communications Letters , 2020 , 9 ( 7 ): 990 - 994 .

Chen L , Tang F L , Li X , et al . Delay-optimal cooperation transmission in remote sensing satellite networks [J ] . IEEE Transactions on Mobile Computing , 2023 , 22 ( 9 ): 5109 - 5123 .

Cao J Q , Zhang S L , Chen Q X , et al . Computing-aware routing for LEO satellite networks: a transmission and computation integration approach [J ] . IEEE Transactions on Vehicular Technology , 2023 , 72 ( 12 ): 16607 - 16623 .

Yang J , Sun K X , He H S , et al . Dynamic virtual topology aided networking and routing for aeronautical ad-hoc networks [J ] . IEEE Transactions on Communications , 2022 , 70 ( 7 ): 4702 - 4716 .

Shi K Y , Wang J C , Li H Y , et al . Enhancing resource utilization of non-terrestrial networks using temporal graph-based deterministic routing [J ] . IEEE Transactions on Vehicular Technology , 2024 , 73 ( 6 ): 9211 - 9216 .

Jia Z Y , Sheng M , Li J D , et al . Toward data collection and transmission in 6G space-air-ground integrated networks: cooperative HAP and LEO satellite schemes [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 13 ): 10516 - 10528 .

Moreira A , Prats-iraola P , Younis M , et al . A tutorial on synthetic aperture radar [J ] . IEEE Geoscience and Remote Sensing Magazine , 2013 , 1 ( 1 ): 6 - 43 .

Curlander J C , Mcdonough R N . Synthetic aperture radar: systems and signal processing [M ] . New York : Wiley , 1991 .

Chan Y K , Koo V C . An introduction to synthetic aperture radar (sar) [J ] . Progress in Electromagnetics Research B , 2008 , 2 : 27 - 60 .

Song R Z , Wang W , Yu W D . The latest developments in spaceborne high-resolution wide-swath SAR systems and imaging methods [J ] . Sensors , 2024 , 24 ( 18 ): 5978 .

Xiao P , Liu M , Guo W , et al . Reconstruction of synthetic aperture radar raw data under analog-to-digital converter saturation distortion for large dynamic range scenes [J ] . Remote Sensing , 2019 , 11 ( 9 ): 1043 .

Zhou D , Sheng M , Wang Y X , et al . Machine learning-based resource allocation in satellite networks supporting internet of remote things [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 10 ): 6606 - 6621 .

Dissanayake A , Allnutt J , Haidara F . A prediction model that combines rain attenuation and other propagation impairments along earth-satellite paths [J ] . IEEE Transactions on Antennas and Propagation , 1997 , 45 ( 10 ): 1546 - 1558 .

Fu S , Gao J , Zhao L . Integrated resource management for terrestrial-satellite systems [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 3 ): 3256 - 3266 .

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