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

系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (8): 2867-2876.doi: 10.12305/j.issn.1001-506X.2024.08.34

• 通信与网络 • 上一篇

业务驱动的低轨卫星物联网终端模态切换方法

洪涛, 王凡, 李治, 钟志伟, 丁晓进, 刘子威, 张更新

南京邮电大学通信与信息工程学院, 江苏南京 210003

收稿日期:2023-05-05 出版日期:2024-07-25 发布日期:2024-08-07
通讯作者: 洪涛
作者简介:洪涛 (1982—), 男, 副教授, 博士, 主要研究方向为卫星物联网、卫星通信等
王凡 (1997—), 男, 硕士研究生, 主要研究方向为卫星物联网
李治 (2000—), 男, 硕士研究生, 主要研究方向为卫星物联网
钟志伟 (2000—), 男, 硕士研究生, 主要研究方向为卫星物联网
丁晓进 (1981—), 男, 副教授, 博士, 主要研究方向为空间信息网络、卫星物联网、频偏智能认知等
刘子威 (1989—), 男, 副教授, 博士, 主要研究方向为卫星通信中的多用户检测、非正交接入技术
张更新 (1967—), 男, 教授, 博士生导师, 博士, 主要研究方向为卫星通信、深空通信、空间信息网络
基金资助:
江苏省前沿引领技术基础研究专项(BK20192002);国家自然科学基金(U21A20450);国家自然科学基金(62171234);国家自然科学基金(61971440);科技部项目(2022YFB2902600)

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

Tao HONG, Fan WANG, Zhi LI, Zhiwei ZHONG, Xiaojin DING, Ziwei LIU, Gengxin ZHANG

School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Received:2023-05-05 Online:2024-07-25 Published:2024-08-07
Contact: Tao HONG

摘要/Abstract

摘要：

针对低轨卫星物联网场景下基于窄带物联网(narrow band Internet of Things, NB-IoT)体制的物联终端大尺度地理范围内多场景应用业务时延和终端功耗需求动态变化问题, 提出一种利用马尔可夫链模型评估NB-IoT终端在扩展不连续接收(extended discontinuous reception, eDRX)和节能模式(power saving mode, PSM)下的时延功耗的方法, 建立了以下行业务延迟和终端功耗为优化目标的多目标优化问题。在信关站利用终端历史业务数据信息离线训练基于支持向量机(support vector machine, SVM)的时延功耗的回归预测模型, 以回归预测模型作为非支配排序遗传算法(non-dominated sorting genetic algorithms-Ⅱ, NSGA-Ⅱ)的目标函数，得到多目标优化问题的Pareto前沿解集, 进一步从Pareto前沿解集中选择满足当前应用时延功耗需求的工作状态定时器参数值, 在线配置终端。仿真结果表明, 相比于传统的地面物联网终端固定式定时器参数配置方法, 所提出的业务驱动的定时器参数配置方法在终端动态多场景应用下能够更好地满足业务时延和终端功耗需求。

关键词: 低轨卫星物联网, 窄带物联网, 马尔可夫链, 时延功耗, 多目标优化

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

中图分类号:

TN927+.2

洪涛, 王凡, 李治, 钟志伟, 丁晓进, 刘子威, 张更新. 业务驱动的低轨卫星物联网终端模态切换方法[J]. 系统工程与电子技术, 2024, 46(8): 2867-2876.

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.

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参考文献 30

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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

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业务驱动的低轨卫星物联网终端模态切换方法

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

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