业务驱动的低轨卫星物联网终端模态切换方法

doi:10.12305/j.issn.1001-506X.2024.08.34

Abstract

Abstract:

To address the dynamic variation issue in business latency and terminal power consumption requirement for narrow band Internet of Things (NB-IoT) regime in large-scale geographic and diverse scenario applications within the context of low-Earth-orbit satellite Internet of Things, a method that utilizes a Markov chain model to assess the latency and power consumption of NB-IoT terminals during extended discontinuous reception (eDRX) and power saving mode (PSM) is proposed. The approach establishes a multi-objective optimization problem with downlink business latency and terminal power consumption as optimization targets. Offline training of a regression prediction model based on support vector machine (SVM) is conducted using terminal historical business data information at the gateway. This regression model is then employed as the objective function for the non-dominated sorting genetic algorithm-Ⅱ (NSGA-Ⅱ) to obtain the Pareto frontier solution set for the multi-objective optimization problem. Subsequently, selecting values for the work state timer parameters from the Pareto frontier solution set that meets the current application's latency and power consumption requirements, online configuration of the terminal is performed. Simulation results demonstrate that compared to traditional ground-based IoT terminal fixed timer parameter configuration methods, the proposed business-driven timer parameter configuration method can better fulfill business latency and terminal power consumption requirements in dynamic multi-scenario applications for terminals.

Key words: low-Earth-orbit satellite Internet of Things, narrow band Internet-of-Things (NB-IoT), Markov chain, latency and power consumption, multi-objective optimization

CLC Number:

TN927+.2

Tao HONG, Fan WANG, Zhi LI, Zhiwei ZHONG, Xiaojin DING, Ziwei LIU, Gengxin ZHANG. Business-driven terminal mode switching method for low Earth orbit satellite-based Internet of Things[J]. Systems Engineering and Electronics, 2024, 46(8): 2867-2876.

Figures/Tables 14

Fig.1

Fig.2

Fig.3

Fig.4

Table 1

Table 2

Fig.5

Fig.6

Table 3

Fig.7

Fig.8

Fig.9

Fig.10

Table 4

References 30

1	MIGABO E M , DJOUANI K D , KURIEN A M . The narrowband Internet of Things (NB-IoT) resources management performance state of art, challenges, and opportunities[J]. IEEE Access, 2020, 8, 97658- 97675. doi: 10.1109/ACCESS.2020.2995938
2	ZHOU Y T, XIA X, HOU J, et al. Expansion and evolution of NB-IoT under 5G co-construction and sharing[C]//Proc. of the 7th International Conference on Computer and Communication Systems, 2022: 695-699.
3	CHENG D P, LI C N, QIU N. The application prospects of NB-IoT in intelligent transportation[C]//Proc. of the 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, 2021: 1176-1179.
4	YIN J Y, MENG G D, GAN Z H, et al. Application scenarios and analysis of NB-IoT communication in substation and power Internet of Things[C]//Proc. of the IEEE 5th International Electrical and Energy Conference, 2022: 838-842.
5	LEYVA-MAYORGA I , SORET B , ROPER M , et al. LEO small-satellite constellations for 5G and beyond-5G communications[J]. IEEE Access, 2020, 8, 184955- 184964. doi: 10.1109/ACCESS.2020.3029620
6	CENTENARO M , COSTA C E , GRANELLI F , et al. A survey on technologies, standards and open challenges in satellite IoT[J]. IEEE Communications Surveys and Tutorials, 2021, 23 (3): 1693- 1720. doi: 10.1109/COMST.2021.3078433
7	MANNONI V, BERG V, CAZALENS S, et al. System level evaluation for NB-IoT satellite communications[C]//Proc. of the IEEE 95th Vehicular Technology Conference, 2022: 1-6.
8	QU Z C , ZHANG G X , CAO H T , et al. LEO satellite constellation for Internet of Things[J]. IEEE Access, 2017, 5, 18391- 18401. doi: 10.1109/ACCESS.2017.2735988
9	程一凡, 曲至诚, 张更新. 低轨卫星星座物联网业务量建模[J]. 电子与信息学报, 2021, 43 (4): 1050- 1056.
	CHENG Y F , QU Z C , ZHANG G X . Traffic modeling for low Earth orbit satellite constellation Internet of Things[J]. Journal of Electronics and Information Technology, 2021, 43 (4): 1050- 1056.
10	DE SANCTIS M , CIANCA E , ARANITI G , et al. Satellite communications supporting internet of remote things[J]. IEEE Internet of Things Journal, 2016, 3 (1): 113- 123. doi: 10.1109/JIOT.2015.2487046
11	JIN L, WANG L T, JIN X H, et al. Research on the application of LEO satellite in IOT[C]//Proc. of the IEEE 2nd International Conference on Electronic Technology, Communication and Information, 2022: 739-741.
12	张更新, 揭晓, 曲至诚. 低轨卫星物联网的发展现状及面临的挑战[J]. 物联网学报, 2017, 1 (3): 6- 9.
	ZHANG G X , JIE X , QU Z C . Development status and challenges of LEO IoT[J]. Chinese Journal on Internet of Things, 2017, 1 (3): 6- 9.
13	JIN C, HE X, DING X J. Traffic analysis of LEO satellite Internet of Things[C]//Proc. of the 15th International Wireless Communications and Mobile Computing Conference, 2019: 67-71.
14	MAURO D S , ERNESTINA C , GIUSEPPE A , et al. Satellite communications supporting internet of remote things[J]. IEEE Internet of Things Journal, 2016, 3 (1): 113- 123. doi: 10.1109/JIOT.2015.2487046
15	BELLO H L , JIAN X , WEI Y X , et al. Energy-delay evaluation and optimization for NB-IoT PSM with periodic uplink reporting[J]. IEEE Access, 2019, 7, 3074- 3081. doi: 10.1109/ACCESS.2018.2888566
16	XIONG D Z, CHEN Y L, CHEN X Q, et al. Design of power failure event reporting system based on NB-IoT smart meter[C]// Proc. of the International Conference on Power System Technology, 2018: 1770-1774.
17	ANDRES-MALDONADO P , LAURIDSEN M , AMEIGERIRAS P , et al. Analytical modeling and experimental validation of NB-IoT device energy consumption[J]. IEEE Internet of Things Journal, 2019, 6 (3): 5691- 5701. doi: 10.1109/JIOT.2019.2904802
18	刘克清, 周俊, 李世光, 等. NB-IoT低功耗技术及功率参数配置研究[J]. 移动通信, 2018, 42 (12): 32- 36.
	LIU K Q , ZHOU J , LI S G , et al. Research on low power technology and power parameter configuration for NB-IoT[J]. Mobile Communications, 2018, 42 (12): 32- 36.
19	SULTANIA A K, ZAND P, BLONDIA C, et al. Energy mo-deling and evaluation of NB-IoT with PSM and eDRX[C]//Proc. of the IEEE Globecom Workshops, 2018.
20	LINGALA P, PAVAN R M, AMURU S, et al. Energy and delay efficient intelligent release assistant indication scheme for NB-IoT[C]//Proc. of the 14th International Conference on Communication Systems and Networks, 2022: 246-250.
21	PEI E R, ZHANG R, LI Y. Research on energy saving mechanism of NB-IoT based on eDRX[C]//Proc. of the IEEE 93rd Vehicular Technology Conference, 2021.
22	KOC A T , JHA S C , VANNITHAMBY R , et al. Device power saving and latency optimization in LTE-A networks through DRX configuration[J]. IEEE Trans.on Wireless Communications, 2014, 13 (5): 2614- 2625. doi: 10.1109/TWC.2014.031914.131298
23	LIU K, CUI G F, LI Q J, et al. An optimal PSM duration dalculation algorithm for NB-IoT[C]//Proc. of the IEEE 5th International Conference on Computer and Communications, 2019: 447-452.
24	SULTANIA A K , BLONDIA C , FAMAEY J . Optimizing the energy-latency trade-off in NB-IoT with PSM and eDRX[J]. IEEE Internet of Things Journal, 2021, 8 (15): 12436- 12454. doi: 10.1109/JIOT.2021.3063435
25	HU W Z, JIANG M, GAO X, et al. Solving dynamic multi-objective optimization problems via support vector machine[C]//Proc. of the 10th International Conference on Advanced Computational Intelligence, 2018: 819-824.
26	MARTINS M, SANTOS C, COSTA L, et al. Gait feature selection in walker-assisted gait using NSGA-Ⅱ and SVM hybrid algorithm[C]//Proc. of the 22nd European Signal Processing Conference, 2014: 1173-1177.
27	简鑫, 韦一笑, 刘钰芩, 等. 窄带物联网非连续接收机制功耗模型与优化[J]. 通信学报, 2019, 40 (4): 107- 116.
	JIAN X , WEI Y X , LIU Y Q , et al. Power consumption modeling and optimization for NB-IoT eDRX[J]. Journal on Communications, 2019, 40 (4): 107- 116.
28	3GPP. TR 36.763. Technical specification group radio access network; study on narrow-band Internet of Things (NB-IoT)/enhanced machine type communication (eMTC) support for non-terrestrial networks (NTN)[S]. Sophia Antipolis: 3GPP, 2021.
29	李振, 陈进华, 张驰, 等. 基于SVM与NSGA-Ⅱ的外转子永磁力矩电机多目标优化[J]. 微特电机, 2018, 46 (11): 46- 50.
	LI Z , CHEN J H , ZHANG C , et al. Multi-objective optimization of outer rotor permanent magnet synchronous motor based on SVM and NSGA-Ⅱ[J]. Micromotors, 2018, 46 (11): 46- 50.
30	UBLOX. SARA-N2 series[EB/OL].[2020-08-13]. https://www.u-blox.com/en/docs/UBX-18066692.

参数	符号	数值
NPUSCH-F1调度延迟/ms	k_N0	8
NPDSCH调度延迟/ms	k_N1	4
接收数据切换到传输数据的调度延迟/ms	k_{rx_tx}	12
传输数据切换到接收数据的调度延迟/ms	k_{tx_rx}	3
随机接入序列延迟/ms	T_pmbl	5.6
NPUSCH-F1的资源块长度/ms	T_RU	8
NPUSCH-F2的资源块长度/ms	T_RU^ack	2
前导序列重传次数/次	N_rep^pmbl	{1, 2, 4, 8, 16}
NPUSCH重传次数/次	N_rep^NPUSCH	{1, 2, 4, 8, 16}
下行数据传输中接收调度信息的重传次数/次	N_rep^NPDCCH	{1, 2, 4, 8, 16}
接收下行数据的重传次数/次	N_rep^NPDSCH	{1, 2, 4, 8, 16}
确认字符的重传次数/次	N_rep^ack	{1, 2, 4, 8, 16}
NPDSCH子帧的数量/个	N_SF	{1, 2, 4, 6, 8, 10}
资源块的数量/个	N_RU	{1, 2, 4, 6, 8, 10}

定时器样本组合	T_RRC/s	T_cycle/s	T_PSM/s
1	1	0	0
2	5	20.48	136.219
3	10	40.96	272.438
4	20	81.92	544.877
5	30	163.84	1 089.755
6	40	327.68	2 179.511
7	50	655.36	8 718.046
8	60	1 310.72	34 872.187

参数	符号	数值
卫星星座	s	Starlink
卫星轨道高度/km	h	550
轨道倾角/(°)	θ	53
长传播时延区间/ms	t_delay	[1.835, 4.786]
PSM状态功耗/mW	E_PSM	0.014 4
RRC连接状态功耗/mW	E_C	22.8
eDRX寻呼周期状态功耗/mW	E_cycle	3.040
寻呼状态功耗/mW	E_P	0.018 7
UL包传输功耗/mW	E_UL^C	545
DL包传输功耗/mW	E_DL^C	0.568 0
RRC周期/s	T_RRC	[1, 60]
eDRX寻呼周期/s	T_cylce	[0, 1 310.72]
PSM周期/s	T_PSM	[0, 34 872.187]
种群规模/个	pop	100
终止迭代次数/次	gen	80

业务场景	工作状态定时器参数 (T_RRC, T_cycle, T_PSM)	系统下行时延/s	功耗/mW
ULI和DLI均为60 min (文献[13]穷举法)	1.5 s, 0, 136.219 s	52.218 5	3.498 4
ULI和DLI均为60 min (SVM+NSGA-Ⅱ算法)	1 s, 0, 150.726 s	63.446 2	3.304 0
ULI和DLI均为1 min (SVM+NSGA-Ⅱ算法)	60 s, 20.48 s, 0	3.928 4	21.963 1
ULI和DLI均为60 min (固定定时器)	60 s, 20.48 s, 0	3.865 7	20.135 7

[1]	Qiangqiang XU, Hua CHAI. Optimization of task dispatch plan for vehicular optical observation equipment based on NSGA-Ⅱ [J]. Systems Engineering and Electronics, 2024, 46(7): 2393-2400.
[2]	Zelun GAO, Shaoqiu ZHENG, Rupeng LIANG, Yanyan HUANG. Model of strike target preference under super-network system operation [J]. Systems Engineering and Electronics, 2024, 46(1): 182-189.
[3]	Liyao WANG, Jin ZHANG, Hongxi ZHOU, Kemao WANG. Planning of multi-station accessing multi-satellite based on physical planning [J]. Systems Engineering and Electronics, 2023, 45(8): 2514-2520.
[4]	Lei YANG, Yabo XIA, Xianhua LIAO, Xinyao MAO, Yuchen DOU, Huan YANG. Super-resolution ISAR imagery algorithm based on bi-sparsity Bayesian learning [J]. Systems Engineering and Electronics, 2023, 45(5): 1371-1379.
[5]	Xiaoying CHEN, Jianjun WANG, Shijuan YANG. Bayesian modeling and optimization based on semi-parametric hierarchy [J]. Systems Engineering and Electronics, 2023, 45(5): 1580-1588.
[6]	Hongzhou ZHAI, Hua ZHANG, Linna WU, Hequn BU, Kaixiang GONG. Optimization algorithm for reliability redundancy design based on collaborative balance [J]. Systems Engineering and Electronics, 2023, 45(12): 4084-4089.
[7]	Shiying YAN, Kefei YAN, Wei FANG, Hengyang LU. Large-scale multi-objective algorithm based on neighborhood adaptive of differential evolution [J]. Systems Engineering and Electronics, 2022, 44(7): 2112-2124.
[8]	Qian LIU, Yunjun LU, Kebin CHEN, Mengyao HAN, Liang GUO. Combat task decomposition EVA method based on binary constraints of task subject [J]. Systems Engineering and Electronics, 2022, 44(7): 2201-2210.
[9]	Rongwei CUI, Wei HAN, Xichao SU, Liguo WANG, Yujie LIU. Integrated optimization of carrier-based aircraft flight deck operations scheduling and resource configuration for pre-flight preparation stage [J]. Systems Engineering and Electronics, 2021, 43(7): 1884-1893.
[10]	Yuyao ZHAI, Xianjun SHI, Jiapeng LYU, Lu HAN. Modeling and index evaluation of multi-level testability of missiles based on GSPN [J]. Systems Engineering and Electronics, 2021, 43(4): 970-979.
[11]	Boyuan XIA, Kewei YANG, Zhiwei YANG, Xiaoke ZHANG, Danling ZHAO. Multi-objective optimization of equipment portfolio based on kill-web evaluation [J]. Systems Engineering and Electronics, 2021, 43(2): 399-409.
[12]	Chunming TIAN, An YANG, Le YE, Jianxing LI, Yuchen HE. End-to-end antenna optimization based on Bayesian optimization algorithm [J]. Systems Engineering and Electronics, 2021, 43(12): 3413-3419.
[13]	Lei LAI, Dewei WU, Kun ZOU, Kun HAN, Hailin LI. Three dimensional route planning of UAV based on the multi-criterion interactive membrane evolutionary algorithm [J]. Systems Engineering and Electronics, 2021, 43(1): 138-146.
[14]	Weiyang SUN, Yu LIU. Asynchronous H_∞ control for a class of non-homogeneous Markov jump LPV systems [J]. Systems Engineering and Electronics, 2020, 42(5): 1152-1159.
[15]	Yadong WANG, Quan SHI, Wei XIA, Cai CHEN. Structure optimization of spare parts supply network based on hyper heuristic algorithm [J]. Systems Engineering and Electronics, 2020, 42(3): 620-629.

Business-driven terminal mode switching method for low Earth orbit satellite-based Internet of Things

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 14

References 30

Related Articles 15

Recommended Articles

Metrics

Comments