低轨卫星物联网下NB-IoT时延功耗研究

王凡; 于啸; 洪涛

doi:10.13756/j.gtxyj.2024.230042

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低轨卫星物联网下NB-IoT时延功耗研究

无线通信技术 | 更新时间：2024-05-30

- 低轨卫星物联网下NB-IoT时延功耗研究
- Research on NB-IoT Delay and Power Consumption in LEO Satellite IoT
- 光通信研究 2024年第3期页码：23004201-23004207
- 作者机构：
  
  南京邮电大学　通信与信息工程学院，南京　210003
- 作者简介：
  
  王凡，硕士。E-mail：1640284662@qq.com
- 基金信息：
  
  江苏省前沿引领技术基础研究专项资助项目(BK20192002);国家自然科学基金资助项目(62171234;U21A20450;61971440)
- DOI：10.13756/j.gtxyj.2024.230042
  中图分类号： TN927
- 纸质出版日期：2024-06-10，
  
  收稿日期：2023-03-17，
  
  修回日期：2023-03-24，
扫描看全文
王凡，于啸，洪涛.低轨卫星物联网下NB-IoT时延功耗研究[J].光通信研究，2024（3）：230042.

Wang F, Yu X, Hong T. Research on NB-IoT Delay and Power Consumption in LEO Satellite IoT[J]. Study on Optical Com-munications, 2024（3）：230042.
王凡，于啸，洪涛.低轨卫星物联网下NB-IoT时延功耗研究[J].光通信研究，2024（3）：230042. DOI： 10.13756/j.gtxyj.2024.230042.

Wang F, Yu X, Hong T. Research on NB-IoT Delay and Power Consumption in LEO Satellite IoT[J]. Study on Optical Com-munications, 2024（3）：230042. DOI： 10.13756/j.gtxyj.2024.230042.

摘要

【目的】

在低轨（LEO）卫星物联网（IoT）场景下，广域覆盖范围内窄带物联网（NB-IoT）体制终端因为业务场景不同造成时延功耗需求也不相同。然而，地面NB-IoT体制终端业务场景单一，采用固定式工作状态定时器参数配置方法，无法满足LEO卫星IoT大尺度地理范围内多场景终端时延功耗的不同需求。

【方法】

针对LEO卫星IoT广覆盖特性，文章基于简化后随机接入交互流程终端工作状态切换的马尔科夫链模型，提出了以系统下行延迟和终端功耗作为非支配排序遗传算法（NS-GA-Ⅱ）的目标函数得到多场景帕累托前沿最优解集的方法，进一步从帕累托前沿中选择满足不同场景时延功耗需求的工作状态定时器参数在线配置终端。

【结果】

仿真结果表明，文章提出的多目标优化方法对工作状态定时器参数进行全局寻优，克服了穷举法等传统方法可能陷入局部最优的不足，并验证了简化随机接入交互流程可以有效降低终端时延功耗。

【结论】

文章所提多目标优化方法可以得到终端在LEO卫星IoT多场景下的工作状态定时器参数。

Abstract

【Objective】

In the Low Earth Orbit (LEO) satellite Internet of Things (IoT) scenario

the time delay and power consumption requirements of Narrowband (NB) -IoT terminal in wide coverage area vary due to different business scenarios. However

the ground NB-IoT terminal with a single business scenario adopts a fixed working state timer parameter configuration method

which cannot meet the needs of time delay and power consumption for multi-scenario terminals in large geographical areas of LEO satellite IoT.

【Methods】

In response to the wide coverage characteristics of LEO satellite IoT

the problem of different delay and power consumption requirements for terminal multi-scenario application services in LEO satellite IoT scenarios

this article proposes a method based on a simplified interaction process and Markov chain model for terminal work state switching. The method uses system downlink delay and terminal power consumption as Non-dominated Sorting Genetic Algorithms-Ⅱobjective functions to obtain a set of Pareto optimal solutions for multiple scenario frontiers. Furthermore

it selects working state timer parameters from the Pareto frontier to configure terminals online that meet different scenario delay and power consumption requirements.

【Results】

The simulation results show that the multi-objective optimization method proposed in this paper can globally optimize the timing parameters of the working state timer

and overcome the shortcomings of traditional methods such as exhaustive search falling into local optima. Additionally

it has been verified that simplifying the random access interaction process can effectively reduce terminal delay and power consumption.

【Conclusion】

The multi-objective optimization method proposed in this paper can obtain the working state timer parameters of the terminal in various scenarios of LEO satellite IoT.

关键词

低轨卫星物联网窄带物联网时延功耗多目标优化工作状态定时器参数

Keywords

LEO satellite IoTNB-IoTdelay and power consumptionmulti-objective optimizationworking state timer parameter

references

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.

3GPP TR45. 820-2015, Cellular System Support for Ultra-low Complexity and Low Throughput Internet of Things (CIoT) [S].

3GPP TR36. 802-2016, Evolved Universal Terrestrial Radio Access (E-UTRA)；NB-IOT；Technical Report for BS and UE Radio Transmission and Reception[S].

张有志, 哈斯巴特, 张更新. 发展我国低轨星座卫星通信系统的一些思考[J]. 卫星与网络, 2016, 160(5): 72-75,77.

Zhang Y Z, Hasbart , Zhang G X. Some Considerations on the Development of Low-Orbit Satellite Communication System[J]. Satellite Network, 2016, 160(5): 72-75,77.

刘昊东, 郑重, 王闻今, 等. 融合NB-IoT的低轨卫星物联网随机接入研究[J]. 天地一体化信息网络, 2021, 2(4): 34-42.

Liu H D, Zheng Z, Wang W J, et al. Research on the NB-IoT Random Access in LEO Satellite IoT[J]. Space-Integrated-Ground Information Networks, 2021, 2(4): 34-42.

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.

靳聪, 和欣, 谢继东, 等. 低轨卫星物联网体系架构分析[J]. 计算机工程与应用, 2019, 55(14): 98-104.

Jin C, He X, Xie J D, et al. Analysis of LEO Satellite Internet of Things Architecture[J]. Computer Engineering and Applications, 2019, 55(14): 98-104.

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.

Xiong D, Chen Y, Chen X, et al. Design of Power Failure Event Reporting System based on NB-IoT Smart Meter[C]//2018 International Conference on Power System Technology (POWERCON). Guangzhou, China: IEEE, 2018: 1770-1774.

Dahlman E, Parkvall S, Johan S. 4G: LTE/LTE-advanced for Mobile Broadband[M]. 北京: 人民邮电出版社, 2011: 103-119.

Dahlman E, Parkvall S, Johan S. 4G: LTE/LTE-advanced for Mobile Broadband[M]. Beijing, China: Posts & Telecom Press, 2011: 103-119.

Liu K, Cui G, Li Q, et al. An Optimal PSM Duration Dalculation Algorithm for NB-IoT[C]//2019 IEEE 5th International Conference on Computer and Communications (ICCC). Chengdu, China: IEEE, 2019: 447-453.

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.

Papoulis A. Probability, Random Variables and Stochastic Processes, Fourth Edition[M]. Europe: Mc Graw-Hill, 2002.

陆传. 排队论 (第2版) [M]. 北京: 北京邮电大学出版社, 2009.

Lu C. Queuing Theory (second edition) [M]. Beijing, China: Beijing University of Posts and Telecommunications Press, 2009.

Deb K, Pratap A, Agarwal S, et al. A Fast and Elitist Multi-objective Genetic Algorithm: NSGA-II[J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2): 182-197.

u-blox. SARA-N2 Series[EB/OL]. (2020-08-13) [2023-03-15]. https://www.u-blox.com/en/docs/UBX-18066692https://www.u-blox.com/en/docs/UBX-18066692.

3GPP TR36. 763-2021, 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].

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