波束与用户协同调度的低轨卫星资源优化及仿真系统设计

doi:10.12305/j.issn.1001-506X.2026.07.31

Abstract

Abstract:

In order to meet the flexible resource scheduling requirements of the low Earth orbit satellite beam hopping system, a multidimensional resource optimization algorithm for collaborative scheduling of beams and users is proposed. In order to meet differentiated user service needs, this algorithm is based on the “beam hopping+5G non ground network (NTN)” system, utilizing multi-dimensional resource scheduling of time, frequency, space, and energy. It collaboratively optimizes large-scale spatiotemporal resource allocation between beams for multiple targets, and performs fine-grained resource scheduling within beams for user quality of service (QoS). Multi-objective index distribution optimizers and dynamic user priority functions are separately constructed for optimization and solution. The simulation results show that compared with traditional algorithms, this algorithm can effectively meet the differentiated QoS requirements of users for different services in terms of latency and throughput. At the same time, corresponding simulation verification software is designed, which has the advantages of visualization and scalability, and can verify key resource scheduling techniques, display resource utilization, and system performance in real time.

Key words: low Earth orbit satellites, beam hopping, multi-objective exponential distribution optimizer, resource scheduling

CLC Number:

TN 927

Chen ZHANG, Kaifeng HU, Gengxin ZHANG, Dongming BIAN. Resource optimization and simulation system design of low Earth orbit satellite for joint beam-user scheduling[J]. Systems Engineering and Electronics, 2026, 48(7): 2479-2491.

Figures/Tables 18

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References 31

1	ZHANG Y M, ZHANG H J, ZHOU H, et al. Resource allocation in terrestrial-satellite-based next generation multiple access networks with interference cooperation[J]. IEEE Journal on Selected Areas in Communications, 2022, 40 (4): 1210- 1221. doi: 10.1109/JSAC.2022.3145810
2	KIM D, JUNG H, KIM J B, et al. A survey of beam management schemes for LEO satellite communication systems[C]//Proc. of the 15th International Conference on Information and Communication Technology Convergence, 2024: 1756−1757.
3	ZHENG S, ZHANG X, WANG P, et al. Joint beam scheduling and power optimization for beam hopping LEO satellite systems[J]. China Communications, 2024, 21 (10): 226- 239.
4	ZHANG M Y, YANG X M, BU Z Y. Resource allocation with interference avoidance in beam-hopping based LEO satellite systems[C]//Proc. of the 4th Information Communication Technologies Conference, 2023: 83−88.
5	ANGELETTI P, PRIM D F, RINALDO R. Beam hopping in multibeam broadband satellite systems: system performance and payload architecture analysis[C]//Proc. of the 24th AIAA International Communications Satellite Systems Conference, 2006.
6	ALEGRE R, ALAGHA N, VAZQUEZ-CASTRO M A. Heuristic algo-rithms for flexible resource allocation in beam hopping multi-beam satellite systems[C]//Proc. of the 29th AIAA International Communications Satellite Systems Conference, 2011.
7	ZHANG T, ZHANG L X, SHI D Y. Resource allocation in beam hop‐ ping communication system[C]//Proc. of the IEEE/AIAA 37th Digital Avionics Systems Conference, 2018.
8	LIN Z Y, LI Z Y, JIANG C X. Satellite-terrestrial coordinated multi-satellite beam hopping scheduling based on multi-agent deep reinforcement learning[J]. IEEE Trans. on Wireless Communications, 2024, 8 (23): 10091- 10103.
9	CAO Y, LIEN S Y, LIANG Y C, et al. Collaborative deep reinforce‐ ment learning for resource optimization in non-terrestrial networks[C]//Proc. of the IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, 2023.
10	HUANG J, SUBRAMANIAN V, AGRAWAL R, et al. Downlink scheduling and resource allocation for OFDM systems[J]. IEEE Trans. on Wireless Communications., 2009, 8 (1): 288- 296. doi: 10.1109/T-WC.2009.071266
11	RHEE W, CIOFFI J. Increase in capacity of multiuser OFDM system using dynamic subchannel allocation[C]//Proc. of the IEEE International Conference on Vehicular Technology, 2000: 1085−1089.
12	JEONG S S, JEONG D G, JEON W S. Cross-layer design of packet scheduling and resource allocation in OFDMA wireless multimedia networks[C]//Proc. of the IEEE Vehicular Technology Conference 2006-Spring, Melbourne, Australia, 2006: 309−313.
13	刘文昊. 跳波束低轨卫星系统波位划分与资源分配算法研究[D]. 北京: 北京邮电大学, 2024.
	LIU W H. Research on beam position division and resource allocation algorithms for in LEO satellite system based on beam hopping[D]. Beijing: Beijing University of Posts and Telecommunications, 2024.
14	PRATSCHNER S, MULLER M K, ADEMAJ F, et al. Verification of the Vienna 5G link and system level simulators and their interaction[C]//Proc. of the 16th IEEE Annual Consumer Communications & Networking Conference , 2019.
15	LAI J Y, TIAN J Q, ZHANG K, et al. Network emulation as a service （NEaas）: towards a cloud-based network emulation platform[J]. Mobile Networks and Applications, 2021, 26 (2): 766- 780. doi: 10.1007/s11036-019-01426-0
16	PUTTONEN J, SORMUNEN L, MARTIKAINEN H, et al. A system simulator for 5G non-terrestrial network evaluations[C]//Proc. of the IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks, 2021: 292−297.
17	WANG X F, CHEN X Y, YE H Y, et al. Cloud-based Experimental Platform for the Space-ground Integrated Network[J]. Wireless Communications and Mobile Computing, 2020, 2020, 8893187.
18	LI H F, ZHOU H C, ZHANG H K, et al. EmuStack: an openstack-based DTN network emulation platform[C]// Proc. of the International Conference on Networking and Network Applications, 2016: 387−392.
19	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 Trans. on Wireless Communications, 2003, 2 (3): 519- 528. doi: 10.1109/TWC.2003.811182
20	彭明阳, 张晨, 张更新. 低轨星座的跳波束资源调度策略研究[J]. 太赫兹科学与电子信息学报, 2023, 21 (12): 1429- 1439. doi: 10.11805/TKYDA2021396
	PENG M Y, ZHANG C, ZHANG G X. Beam-hopping resource scheduling strategy of LEO constellation[J]. Journal of Terahertz Science and Electronic Information Technology, 2023, 21 (12): 1429- 1439. doi: 10.11805/TKYDA2021396
21	FAN J Y, MU D J, LIU Y. Research on network traffic prediction model based on neural network[C]//Proc. of the 2nd International Conference on Information Systems and Computer Aided Education, 2019: 554−557.
22	CAINI C, CORAZZA G E, FALCIASECCA G, et al. A spectrum- and power-efficient EHF mobile satellite system to be integrated with terrestrial cellular systems[J]. IEEE Journal on Selected Areas in Communications, 2002, 10 (8): 1315- 1325.
23	THYLWE K E, MCCABE P. On calculations of Legendre functions and associated Legendre functions of the first kind of complex degree[J]. Communications in Theoretical Physics, 2015, 64 (7): 9- 12.
24	HERZ C S. Bessel functions of matrix argument[J]. The Annals of Mathematics, 1955, 61 (3): 474. doi: 10.2307/1969810
25	KALITA K, JANJHYAM V N R, CEPOVA L, et al. Multi-objective exponential distribution optimizer （MOEDO）: a novel math-inspired multi-objective algorithm for global optimization and real-world engineering design problems[J]. Scientific Reports, 2024, 14, 1816. doi: 10.1038/s41598-024-52083-7
26	王亚昕, 边东明, 胡婧, 等. 基于分簇的全带宽跳波束图案优化方法[J]. 计算机工程, 2020, 46 (4): 169- 176.
	WANG Y X, BIAN D M, HU J, et al. Optimization method for full bandwidth beam hopping pattern based on clustering[J]. Computer Engineering, 2020, 46 (4): 169- 176.
27	周硕, 张晨, 张更新. 基于OFDM的低轨卫星跳波束系统资源调度与分配算法研究[J]. 无线电通信技术, 2025, 51 (4): 823- 831.
	ZHOU S, ZHANG C, ZHANG G X. Research on resource scheduling and allocation algorithm of LEO satellite beam hopping system based on OFDM[J]. Radio Communications Technology, 2025, 51 (4): 823- 831.
28	GUEGUEN C, BAEY S. A fair MaxSNR scheduling scheme for multiuser OFDM wireless systems[C]//Proc. of the IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, 2009: 2935-2939.
29	GUEGUEN C, BAEY S. A fair MaxSNR scheduling scheme for multiuser OFDM wireless systems[C]//Proc. of the IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications, 2009: 2935−2939.
30	GUEGUEN C, BAEY S. Compensated proportional fair scheduling in multiuser OFDM wireless networks[C]// Proc. of the IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, 2008: 119−125.
31	ZHANG P, LIU S J, MA Z G, et al. Improved satellite resource allocation algorithm based on DRL and MOP[J]. Journal on Communications, 2020, 41 (6): 51- 60.

参数	时延敏感性业务	时延非敏感性业务
业务类型	语音业务、视频业务	数据业务
时延需求/ms	120	200
业务量占比/%	40	60
平均包大小/（bit/packet）	800	4 000
平均到达率/（packet/timeslot）	0.05~0.07	0.05~0.07

参数	设置
卫星轨道高度/km	550
波位半径/km	73
跳波束周期/ms	100
跳波束时隙长度/ms	1
工作频段/GHz	20
星上总带宽/MHz	90
卫星发射功率/W	110
用户数量	50
子载波间距/kHz	120
OFDM时隙长度/Ms	125
用户业务类型	时延敏感业务（如语音业务，视频业务）时延非敏感业务（如数据业务）
[$O({N^2}M)$，$O({N^2}M)$]	[0.4，0.6]

[1]	Chenyu ZHOU, Chao ZHANG, Cong LI. Integrated resource scheduling algorithm for telemetry, tracking and control and data transmission based on idle resource fragmentation integration [J]. Systems Engineering and Electronics, 2026, 48(6): 1946-1964.
[2]	Dawang WANG, Zhifeng LU, Guohua WU. Research on resource scheduling of fire control radar networking based on adaptive variable neighborhood search [J]. Systems Engineering and Electronics, 2025, 47(2): 496-507.
[3]	Daozhi WEI, Zhaoyu ZHANG, Jiahao XIE, Ning LI. Multi-sensor cross cueing technique based on improved Actor-Critic algorithm [J]. Systems Engineering and Electronics, 2023, 45(6): 1624-1632.
[4]	Liqiang XIN, Chao ZHANG, Lingzhi ZHAO, Jianping LIU. Conflict avoidance scheduling algorithm for complex associated TT & C requirements [J]. Systems Engineering and Electronics, 2022, 44(5): 1581-1588.
[5]	Wenge XING, Chuanrui ZHOU, Cheng ZHOU. Research on key technology of detection and communication integration for phased array radar [J]. Systems Engineering and Electronics, 2022, 44(10): 3053-3058.
[6]	Zhihai YAO, Jianping LIU, Jianping WANG, Wei LI, Bo REN. Evaluation index system of ground-based TT&C resource scheduling [J]. Systems Engineering and Electronics, 2020, 42(8): 1751-1758.
[7]	Yi DU, Kefei LIAO, YANG Shan OU, Yijun CHEN. Two-dimensional resource adaptive scheduling algorithm for ISAR imaging system [J]. Systems Engineering and Electronics, 2020, 42(2): 339-345.
[8]	WANG Xun, YAO Peiyang, ZHANG Jieyong, WAN Lujun, JIAO Zhiqiang, CHEN Jieyu. Research on problem of Holonic-C2 organization resource scheduling [J]. Systems Engineering and Electronics, 2019, 41(3): 564-570.
[9]	DING Ding, AI Lihua, LUO Siwei, XU Baomin. User behavior-based resource scheduling mechanism for cloud computing with feedback control [J]. Systems Engineering and Electronics, 2018, 40(1): 209-216.
[10]	ZHAO Xin-shuang, WANG Hou-xiang, CAI Yi-chao. Resource scheduling method in antimissile early warning campaign [J]. Systems Engineering and Electronics, 2015, 37(6): 1300-1305.
[11]	LING Xiao-dong, WU Xiao-yue, LIU Bing, XUE Guo-hu, WU Jin-mei. Study on the CSP model of satellite TT&C resource scheduling [J]. Journal of Systems Engineering and Electronics, 2012, 34(11): 2275-2279.
[12]	CHEN Feng,WU Xiao-yue. Optimization scheduling of spaceflight TT&C resources based on cooperative coevolution [J]. Journal of Systems Engineering and Electronics, 2009, 31(11): 2672-2676 .

Resource optimization and simulation system design of low Earth orbit satellite for joint beam-user scheduling

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