A NB-IoT access scheme based on Beta distribution

Mengya LI; Zhengquan LI

doi:10.11959/j.issn.2096-3750.2021.00216

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A NB-IoT access scheme based on Beta distribution

Theory and Technology | 更新时间：2024-06-05

- A NB-IoT access scheme based on Beta distribution
- Chinese Journal on Internet of Things Vol. 5, Issue 3, Pages: 70-77(2021)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2021.00216
  CLC： TN929.5
- Published：30 September 2021，
  
  Published Online：2021-09，
- 稿件说明：
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MENGYA LI, ZHENGQUAN LI. A NB-IoT access scheme based on Beta distribution. [J]. Chinese journal on internet of things, 2021, 5(3): 70-77.
DOI：

MENGYA LI, ZHENGQUAN LI. A NB-IoT access scheme based on Beta distribution. [J]. Chinese journal on internet of things, 2021, 5(3): 70-77. DOI： 10.11959/j.issn.2096-3750.2021.00216.

摘要

作为低功率广域物联网新兴技术之一，窄带物联网（NB-IoT

narrow band Internet of things）面临着终端海量连接的压力和挑战。针对实际应用场景，提出一种Beta分布下的前导码分配方案，该方案首先计算各时隙设备能耗度，并按照平均能耗度和累计能耗度两种分组方式将设备划分为高能耗度设备组和低能耗度设备组，然后优先将前导码分配给高能耗度设备组，剩余前导码和高能耗度设备组冲突前导码分配给低能耗度设备组。仿真结果表明，与传统随机分配方案相比，所提方案能够有效提高 NB-IoT 系统平均接入成功率和平均吞吐量，同时能有效降低退避时间。

Abstract

As one of the emerging technologies of low-power wide-area Internet of things

narrow band Internet of things (NB-IoT) faces the pressure and challenge of massive connections of terminals.Aiming at practical application scenarios

a preamble allocation scheme based on Beta distribution was proposed.In this scheme

the energy consumption of each time slot device was firstly calculated.The equipment was divided into high energy consumption according to two grouping methods: average energy consumption and cumulative energy consumption.The preamble was assigned to the high-energy-consuming device group first

and the remaining preamble and the conflicting preamble of the high-energy-consuming device group were assigned to the low-energy-consuming device group.The simulation results show that compared with the traditional random allocation scheme

the proposed scheme can effectively improve the average access success rate and average throughput of the NB-IoT system

and can effectively reduce the back off time.

关键词

NB-IoT前导码能耗度接入成功率平均吞吐量

Keywords

NB-IoTpreambleenergy consumptionaccess success rateaverage throughput

references

工业和信息化部办公厅. 工业和信息化部办公厅关于深入推进移动物联网全面发展的通知[Z]. 2020.

Ministry of Industry and Information Technology of the People’s Republic of China. General Office of the Ministry of Industry and Information on the in-depth development of mobile Internet of things nitice[Z]. 2020.

戴博, 袁弋非, 余媛芳 . 窄带物联网(NB-IoT)标准与关键技术[M]. 北京: 人民邮电出版社, 2016.

DAI B, YUAN Y F, YU Y F . Standards and key technologies of narrow band IoT[M]. Beijing: Posts and Telecom Press, 2016.

CHEN M, MIAO Y M, HAO Y X ,et al. Narrow band Internet of things[J]. IEEE Access, 2017,5: 20557-20577.

ALTHUMALI H, OTHMAN M . A survey of random access control techniques for machine-to-machine communications in LTE/LTE-A networks[J]. IEEE Access, 2018,6: 74961-74983.

BARACAT G H, BRITO J M C . NB-IoT random access procedure analysis[C]// 2018 IEEE 10th Latin-American Conference on Communications (LATINCOM). Piscataway:IEEE Press, 2018: 1-6.

TELLO-OQUENDO L, LEYVA-MAYORGA I,, PLA V ,et al. Performance analysis and optimal access class barring parameter configuration in LTE-A networks with massive M2M traffic[J]. IEEE Transactions on Vehicular Technology, 2018,67(4): 3505-3520.

RAMINENI C, TIRUCHIRAI GOPALAKRISHNAN V . Impact of access class barring in narrow band Internet of things[J]. IET Wireless Sensor Systems, 2019,9(6): 399-404.

DUAN S Y, SHAH-MANSOURI V, WONG V W S . Dynamic access class barring for M2M communications in LTE networks[C]// 2013 IEEE Global Communications Conference (GLOBECOM). Piscataway:IEEE Press, 2013: 4747-4752.

JUNG S Y, LEE S H, KIM J H . Reliability control framework for random access of massive IoT devices[J]. IEEE Access, 2019,7: 49928-49937.

CHENG R G, CHEN J, CHEN D W ,et al. Modeling and analysis of an extended access barring algorithm for machine-type communications in LTE-A networks[J]. IEEE Transactions on Wireless Communications, 2015,14(6): 2956-2968.

VIDAL J R, TELLO-OQUENDO L, PLA V ,et al. Performance study and enhancement of access barring for massive machine-type communications[J]. IEEE Access, 2019,7: 63745-63759.

WANG D, QU Y Y, FU Y L ,et al. A non-orthogonal random access scheme based on NB-IoT[J]. Wireless Personal Communications, 2020,111(4): 2625-2639.

SUN Y Y, TONG F, ZHANG Z K ,et al. Throughput modeling and analysis of random access in narrowband Internet of things[J]. IEEE Internet of Things Journal, 2018,5(3): 1485-1493.

HARWAHYU R, CHENG R G, TSAI W J ,et al. Repetitions versus retransmissions:tradeoff in configuring NB-IoT random access channels[J]. IEEE Internet of Things Journal, 2019,6(2): 3796-3805.

HUANG C W, TSENG S C, LIN P ,et al. Radio resource scheduling for narrowband Internet of Things systems:a performance study[J]. IEEE Network, 2019,33(3): 108-115.

MALIK H, PERVAIZ H, MAHTAB ALAM M ,et al. Radio resource management scheme in NB-IoT systems[J]. IEEE Access, 2018,6: 15051-15064.

SHARMA S K, WANG X B . Toward massive machine type communications in ultra-dense cellular IoT networks:current issues and machine learning-assisted solutions[J]. IEEE Communications Surveys and Tutorials, 2020,22(1): 426-471.

EL-HAMEED A S A, ELSAYED K M F . A Q-learning approach for machine-type communication random access in LTE-Advanced[J]. Telecommunication Systems, 2019,71(3): 397-413.

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