A Low Complexity NB-IoT Cell ID Detection Algorithm

CHANG Tie-yuan; LI Yong-qi; YAN Yi-ping

doi:10.13756/j.gtxyj.2022.02.014

您当前的位置：

首页 >

文章列表页 >

A Low Complexity NB-IoT Cell ID Detection Algorithm

更新时间：2022-06-15

- A Low Complexity NB-IoT Cell ID Detection Algorithm
- Study on Optical Communications Issue 2, Pages: 69-73(2022)
- 作者机构：
  
  河北大学　电子信息工程学院，河北　保定　071000
- 作者简介：
- 基金信息：
- DOI：10.13756/j.gtxyj.2022.02.014
  CLC： TN915
- Published：10 April 2022，
  
  Received：28 April 2021，
扫描看全文
CHANG Tie-yuan, LI Yong-qi, YAN Yi-ping. A Low Complexity NB-IoT Cell ID Detection Algorithm. [J]. Study on Optical Communications (2):69-73(2022)
DOI：

CHANG Tie-yuan, LI Yong-qi, YAN Yi-ping. A Low Complexity NB-IoT Cell ID Detection Algorithm. [J]. Study on Optical Communications (2):69-73(2022) DOI： 10.13756/j.gtxyj.2022.02.014.

摘要

窄带物联网(NB-IoT)存在多种辅同步信号，需要很多的空间去存储，而NB-IoT有低功耗的要求，因此文章提出了一种自相关与互相关联合的检测算法。该算法首先对辅同步信号进行拆分，利用相位偏移量随着帧号变化的规律，减少了算法中的乘法运算，其次利用Zadoff-Chu (ZC)序列在辅同步信号中的对称性，对接收信号自相关，结合本地信号与接收信号的互相关，可以检测出辅同步信号，求出小区标识(ID)号。通过对比其他算法，文章所提算法在保证性能的前提下，能够极大地降低算法复杂度。

Abstract

Narrow Band Internet of Things (NB-IoT) has many kinds of secondary synchronization signals

which need a lot of space to store. Therefore

the requirement of low power consumption is difficult to be satisfied. In order to solve this problem

we propose a low complexity cell Identity (ID) detection algorithm. Firstly

the algorithm splits the secondary synchronization signal

and reduces the multiplication operation by using the law of phase offset changing with frame number. Then it uses the symmetry of Zadoff-Chu (ZC) sequence in the secondary synchronization signal to calculate the autocorrelation value of the received signal. Combined with the cross-correlation between the local signal and the received signal

the secondary synchronization signal can be detected and the cell ID number can be calculated. By comparing with other algorithms

the proposed algorithm can greatly reduce the complexity of the algorithm while maintaining the acceptable performance.

关键词

窄带物联网小区搜索辅同步信号互相关对称性

Keywords

NB-IoTcell searchsecondary synchronization signalcross correlationsymmetry

references

Hoglund A, Lin X, Liberg O, et al. Overview of 3GPP Release 14 Enhanced NB-IoT[J]. IEEE Network, 2017, 31(6): 16-22.

Ratasuk R, Vejlgaard B, Mangalvedhe N, et al. NB-IoT System for M2M Communication[C]//2016 IEEE Wireless Communications and Networking Conference. Doha, Qatar: IEEE, 2016: 7564708.

Lin Y C, Su S L, Fan Y J. Joint Sector ID and ICFO Detection by Using Partial Correlation Scheme in LTE Cell Search Process[J]. Wireless Personal Communications, 2013, 70(4): 1603-1621.

Chu D C. Polyphase Codes with Good Periodic Correlation Properties[J]. IEEE Transactions on Information Theory, 1972, 18(4): 531-532.

Song Q, Guo S, Liu X, et al. CSI Amplitude Fingerprinting-based NB-IoT Indoor Localization[J]. IEEE Internet of Things Journal, 2018, 5(3): 1494-1504.

Kroll H, Korb M, Weber B, et al. Maximum-likelihood Detection for Energy-efficient Timing Acquisition in NB-IoT[C]//2017 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). San Francisco, CA, USA: IEEE, 2017: 7919084.

Li Y, Chen S, Ye W, et al. A Joint Low-power Cell Search and Frequency Tracking Scheme in NB-IoT Systems for Green Internet of Things[J]. Sensors, 2018, 18(10): s18103274.

You Y H. Reduced Complexity Detection of Narrowband Secondary Synchronization Signal for NB-IoT Communication Systems[J]. Symmetry, 2020, 12(8): 686-701.

Savaux V. DFT-based Low-complexity Optimal Cell ID Estimation in NB-IoT[J]. Journal on Advances in Signal Processing, 2020(1): 855-873.

Magani S, Kuchi K. Cell-search and Tracking of Residual Time and Frequency Offsets in Low Power NB-IoT Devices[J]. CSI Transactions on ICT, 2019, 7(1): 27-34.

Ali A, Hamouda W. On the Cell Search and Initial Synchronization for NB-IoT LTE Systems[J]. IEEE Communications Letters, 2017, 21(8): 1843-1846.

Shimura A, Sawahashi M, Nagata S, et al. Physical Cell ID Detection Probabilities using Frequency Domain PVS Transmit Diversity for NB-IoT Radio Interface[J]. IEICE Transactions on Communications, 2019, E102.B(8): 1477-1489.

Savaux V, Kanj M. Low-complexity Sub-optimal Cell ID Estimation in NB-IoT System[J]. IET Communications, 2020, 14(20): 3699-3706.

更多指标>

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on Timing Synchronization Algorithm of Primary Synchronization Signal in 5G System

Design and Implementation of NB-IoT System Random Access Process

Narrowband Uplink Shared Channel Design and Performance Test

Study on timing synchronization in cell search in TD-LTE systems and its implementation

Research on secondary synchronization signals in LTE systems and DSP implementation

Related Author

No data

Related Institution

School of Communication and Information Engineering,CUPT

Chongqing Key Lab of Mobile Communication Technology, Chongqing University of Posts and Telecommunications

School of Communication and Information Engineering,CUPT

Chongqing University of Posts and Telecommunications

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications

⁰