Mobility-Aware Radio Resource Configuration for NB-IoT

HUANG Ji-wei; HUANG Fang-qi; WANG Hao-tian; GUO Jia-he

doi:10.12263/DZXB.20211283

您当前的位置：

首页 >

文章列表页 >

Mobility-Aware Radio Resource Configuration for NB-IoT

PAPERS | 更新时间：2025-12-08

- Mobility-Aware Radio Resource Configuration for NB-IoT
- ACTA ELECTRONICA SINICA Vol. 51, Issue 4, Pages: 801-809(2023)
- 作者机构：
  
  中国石油大学（北京）石油数据挖掘北京市重点实验室，北京 102249
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(61972414);Beijing Nova Program(Z201100006820082);Beijing Natural Science Foundation(4202066)
- DOI：10.12263/DZXB.20211283
  CLC： TN929.5;TP393
- Received：21 September 2021，
  
  Revised：2022-02-24，
  
  Published：25 April 2023
- 稿件说明：
移动端阅览
黄霁崴,黄方琦,王皓天等.移动感知的NB-IoT无线电资源配置方法[J].电子学报,2023,51(04):801-809.

HUANG Ji-wei,HUANG Fang-qi,WANG Hao-tian,et al.Mobility-Aware Radio Resource Configuration for NB-IoT[J].ACTA ELECTRONICA SINICA,2023,51(04):801-809.
黄霁崴,黄方琦,王皓天等.移动感知的NB-IoT无线电资源配置方法[J].电子学报,2023,51(04):801-809. DOI： 10.12263/DZXB.20211283.

HUANG Ji-wei,HUANG Fang-qi,WANG Hao-tian,et al.Mobility-Aware Radio Resource Configuration for NB-IoT[J].ACTA ELECTRONICA SINICA,2023,51(04):801-809. DOI： 10.12263/DZXB.20211283.

摘要

窄带物联网（NarrowBand Internet of Things，NB-IoT）是实现万物互联重要的通信技术，其为了扩大通信覆盖范围和提高可靠性而牺牲了时延等性能指标，且难以动态适应移动物联网设备.对此，本文提出了一种适用于移动设备的NB-IoT无线电资源配置方案.该方案通过卡尔曼滤波对物联网设备的移动位置进行预测，建立数学模型对通信可靠性进行估计，开展了块误码率、时延、能耗等性能指标的量化分析，并提出了无线电资源配置的优化模型和方法.本文基于真实数据集开展了仿真实验，对该方案的有效性进行了验证，实验结果显示该方案能保证移动物联网设备与基站连接的同时降低时延.

Abstract

Narrowband internet of things (NB-IoT) is a crucial communication technology for connecting everything. In order to expand the communication coverage and improve the reliability

NB-IoT sacrifices its performance metrics such as the latency and is difficult to adapt to mobile IoT devices. To meet this challenge

this paper proposes an NB-IoT radio resource configuration scheme for mobile devices. The scheme uses Kalman filtering to predict the mobile location of IoT devices

establishes a mathematical model to estimate the communication reliability

carries out quantitative analysis of performance metrics such as block error rate

delay and energy consumption

and proposes optimization models and methods of radio resource configuration. Simulation experiments based on real data sets are carried out to validate the effectiveness of the scheme. The experimental results show that the scheme can ensure the connectivity between IoT devices and the base stations while reducing the delay.

关键词

Keywords

references

CHEN J M , HU K , WANG Q , et al . Narrowband internet of things: Implementations and applications [J ] . IEEE Internet of Things Journal , 2017 , 4 ( 6 ): 2309 - 2314 .

SHI J , JIN L P , LI J , et al . A smart parking system based on NB-IoT and third-party payment platform [C ] // 2017 17th International Symposium on Communications and Information Technologies (ISCIT) . Piscataway : IEEE , 2017 : 1 - 5 .

YU C S , YU L , WU Y , et al . Uplink scheduling and link adaptation for narrowband internet of things systems [J ] . IEEE Access , 5 : 1724 - 1734 .

RATASUK R , MANGALVEDHE N , KAIKKONEN J , et al . Data channel design and performance for LTE narrowband IoT [C ] // 2016 IEEE 84th Vehicular Technology Conference . Piscataway : IEEE , 2016 : 1 - 5 .

HUANG J W , ZHANG C X , ZHANG J B . A multi-queue approach of energy efficient task scheduling for sensor hubs [J ] . Chinese Journal of Electronics , 2020 , 29 ( 2 ): 242 - 247 .

裴二荣 , 易鑫 , 邓炳光 , 等 . D2D辅助的窄带物联网中能耗和传输成功率的最优折中 [J ] . 电子与信息学报 , 2020 , 42 ( 12 ): 2915 - 2922 .

PEI E R , YI X , DENG B G , et al . The optimal tradeoff between energy consumption and transmission success probability in D2D assisted narrow band-Internet of Things [J ] . Journal of Electronics & Information Technology , 2020 , 42 ( 12 ): 2915 - 2922 . (in Chinese)

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 . (in Chinese)

AYOUB W , SAMHAT A E , NOUVEL F , et al . Internet of mobile things: Overview of LoRaWAN, DASH7, and NB-IoT in LPWANs standards and supported mobility [J ] . IEEE Communications Surveys & Tutorials , 2019 , 21 ( 2 ): 1561 - 1581 .

钱志鸿 , 肖琳 , 王雪 . 面向未来移动网络密集连接的关键技术综述 [J ] . 通信学报 , 2021 , 42 ( 4 ): 22 - 43 .

QIAN Z H , XIAO L , WANG X . Review on strategic technology of dense connection for the future mobile network [J ] . Journal on Communications , 2021 , 42 ( 4 ): 22 - 43 . (in Chinese)

MARTINEZ B , ADELANTADO F , BARTOLI A , et al . Exploring the performance boundaries of NB-IoT [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 3 ): 5702 - 5712 .

LI Y K , CHENG X , CAO Y , et al . Smart choice for the smart grid: Narrowband Internet of Things (NB-IoT) [J ] . IEEE Internet of Things Journal , 2018 , 5 ( 3 ): 1505 - 1515 .

NETO R , RODRIGUES E , OLIVEIRA C . Performance analysis of resource unit configurations for M2M traffic in the narrowband-IoT system [EB/OL ] .[ 2021-09-21 ] . https://biblioteca.sbrt.org.br/articles/459 https://biblioteca.sbrt.org.br/articles/459 .

ANDRES-MALDONADO P , AMEIGEIRAS P , PRADOS-GARZON J , et al . Analytic analysis of narrowband IoT coverage enhancement approaches [C ] // 2018 Global Internet of Things Summit (GIoTS) . Piscataway : IEEE , 2018 : 1 - 6 .

胡正 , 陈褒丹 , 任佳 , 等 . 基于改进SPM的海上NB-IoT覆盖研究 [J ] . 通信学报 , 2019 , 40 ( 4 ): 21 - 32 .

HU Z , CHEN B D , REN J , et al . Research on sea surface NB-IoT coverage based on improved SPM [J ] . Journal on Communications , 2019 , 40 ( 4 ): 21 - 32 . (in Chinese)

JIANG N , DENG Y S , NALLANATHAN A , et al . Reinforcement learning for real-time optimization in NB-IoT networks [J ] . IEEE Journal on Selected Areas in Communications , 2019 , 37 ( 6 ): 1424 - 1440 .

RAVI S , ZAND P , SOUSSI M EL , et al . Evaluation, modeling and optimization of coverage enhancement methods of NB-IoT [C ] // 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications . Piscataway : IEEE , 2019 : 1 - 7 .

YU Y J , WANG J K . Uplink resource allocation for narrowband Internet of Things (NB-IoT) cellular networks [C ] // 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) . Piscataway : IEEE , 2018 : 466 - 471 .

ELGARHY O , REGGIANI L , MALIK H , et al . Rate-latency optimization for NB-IoT with adaptive resource unit configuration in uplink transmission [J ] . IEEE Systems Journal , 2021 , 15 ( 1 ): 265 - 276 .

LEI L , XU H J , XIONG X , et al . Joint computation offloading and multiuser scheduling using approximate dynamic programming in NB-IoT edge computing system [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 3 ): 5345 - 5362 .

WANG Y P E , LIN X Q , ADHIKARY A , et al . A primer on 3GPP narrowband Internet of Things [J ] . IEEE Communications Magazine , 2017 , 55 ( 3 ): 117 - 123 .

3GPP. Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Layer Procedures: TS 36.213: 2021 [S/OL ] . [ 2021-09-21 ] . https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=2427 https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=2427 .

3GPP. Evolved Universal Terrestrial Radio Access (E-UTRA); Physical Channels and Modulation: TS 36.211: 2021 [S/OL ] . [ 2021-09-21 ] . https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=2425 https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificationId=2425 .

ALJERI N , BOUKERCHE A . Performance evaluation of movement prediction techniques for vehicular networks [C ] // 2017 IEEE International Conference on Communications . Piscataway : IEEE , 2017 : 1 - 6 .

YANG Y J , FAN X G , ZHUO Z F , et al . Amended Kalman filter for maneuvering target tracking [J ] . Chinese Journal of Electronics , 2016 , 25 ( 6 ): 1166 - 1171 .

陈云翔 , 王泽洲 , 蔡忠义 , 等 . 基于EM-EKF与隐含比例退化模型的机载电子设备剩余寿命自适应预测 [J ] . 电子学报 , 2021 , 49 ( 3 ): 500 - 509 .

CHEN Y X , WANG Z Z , CAI Z Y , et al . Adaptive prediction of remaining useful lifetime for the airborne electronic equipment based on the EM-EKF algorithm and hidden degradation model with the proportion relationship [J ] . Acta Electronica Sinica , 2021 , 49 ( 3 ): 500 - 509 . (in Chinese)

FENG H F , LIU C F , SHU Y T , et al . Location prediction of vehicles in VANETs using a Kalman filter [J ] . Wireless Personal Communications , 2015 , 80 ( 2 ): 543 - 559 .

LEMBO S D . Modeling BLER Performance of Punctured Turbo Codes [D ] . Helsinki : Aalto University , 2011 .

吴绍华 , 张钦宇 , 张乃通 . 密集多径环境下UWB测距的NLOS误差减小方法 [J ] . 电子学报 , 2008 , 36 ( 1 ): 39 - 45 .

WU S H , ZHANG Q Y , ZHANG N T . A NLOS error mitigation method for UWB ranging in dense multi-path environments [J ] . Acta Electronica Sinica , 2008 , 36 ( 1 ): 39 - 45 . (in Chinese)

SOUSSI M EL , ZAND P , PASVEER F , et al . Evaluating the performance of eMTC and NB-IoT for smart city applications [C ] // 2018 IEEE International Conference on Communications . Piscataway : IEEE , 2018 : 1 - 7 .

UPPOOR S , TRULLOLS-CRUCES O , FIORE M , et al . Generation and analysis of a large-scale urban vehicular mobility dataset [J ] . IEEE Transactions on Mobile Computing , 2014 , 13 ( 5 ): 1061 - 1075 .

HUANG J W , LI S Y , CHEN Y . Revenue-optimal task scheduling and resource management for IoT batch jobs in mobile edge computing [J ] . Peer-to-Peer Networking and Applications , 2020 , 13 ( 5 ): 1776 - 1787 .

KODHELI O , MATURO N , CHATZINOTAS S , et al . NB-IoT via LEO satellites: An efficient resource allocation strategy for uplink data transmission [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 7 ): 5094 - 5107 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Millimeter-Wave-Assisted Airborne Laser Communications

Distributed Robust State Estimation for Nonlinear Systems Based on Multivariate Laplace Distribution

Weakly Matching Pursuit Denoising Recovery for Compressed Sensing Based on Kalman Filtering

Related Author

GUO Jiahe

WANG Haotian

HUANG Fangqi

HUANG Jiwei

WU Wen-zhou

GUO Wei-ran

ZHANG Shu-zhe

WEI Meng

Related Institution

Beijing Key Laboratory of Petroleum Data Mining， China University of Petroleum

The 54-th Research Institute of China Electronics Technology Group Corporation

Harbin Institute of Technology

The 28-th Research Institute of China Electronics Technology Group Corporation

School of Information and Control Engineering, China University of Mining and Technology

⁰