基于小区间干扰消除的NB-IoT时延估计算法

唐宏; 牟泓彦; 杨浩澜

doi:10.11959/j.issn.1000-436x.2019038

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基于小区间干扰消除的NB-IoT时延估计算法

学术论文 | 更新时间：2024-06-05

- 基于小区间干扰消除的NB-IoT时延估计算法
- Time delay estimation algorithm of narrow band internet of things based on inter-cell interference cancellation
- 通信学报 2019年40卷第2期页码：92-101
- 作者机构：
  
  1. 重庆邮电大学通信与信息工程学院，重庆 400065
  2. 重庆邮电大学移动通信技术重庆市重点实验室，重庆 400065
- 作者简介：
  
  [ "唐宏（1967- ），男，四川南充人，重庆邮电大学教授，主要研究方向为计算机网络、移动通信。" ]
  [ "牟泓彦（1994- ），女，重庆人，重庆邮电大学硕士生，主要研究方向为窄带物联网定位、移动通信。" ]
  [ "杨浩澜（1977- ），男，重庆人，重庆邮电大学讲师，主要研究方向为移动通信技术。" ]
- 基金信息：
  
  长江学者和创新团队发展计划基金资助项目(IRT_16R72)
- DOI：10.11959/j.issn.1000-436x.2019038
  中图分类号： TN929.5
- 网络出版日期：2019-02，
  
  纸质出版日期：2019-02-25
- 稿件说明：
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唐宏, 牟泓彦, 杨浩澜. 基于小区间干扰消除的NB-IoT时延估计算法[J]. 通信学报, 2019,40(2):92-101.

Hong TANG, Hongyan MOU, Haolan YANG. Time delay estimation algorithm of narrow band internet of things based on inter-cell interference cancellation[J]. Journal on communications, 2019, 40(2): 92-101.
唐宏, 牟泓彦, 杨浩澜. 基于小区间干扰消除的NB-IoT时延估计算法[J]. 通信学报, 2019,40(2):92-101. DOI： 10.11959/j.issn.1000-436x.2019038.

Hong TANG, Hongyan MOU, Haolan YANG. Time delay estimation algorithm of narrow band internet of things based on inter-cell interference cancellation[J]. Journal on communications, 2019, 40(2): 92-101. DOI： 10.11959/j.issn.1000-436x.2019038.

摘要

针对窄带物联网（NB-IoT）低功耗、低成本、低采样率等特点，提出了一种基于小区间干扰消除的NB-IoT时延估计算法，所提算法引入了小区间迭代干扰消除算法，以逐步消除各小区信号之间的相互影响。在每一次迭代中，在传统相关算法的基础上引入时频互相关交叠的思想来提升时延估计精度以突破采样率的限制，并采用基于噪声门限的首达径（FAP）搜索算法来抑制多径效应的影响。仿真结果表明所提算法可以在相关算法的基础上明显提高NB-IoT的时延估计精度。

Abstract

Aiming at the characteristics of NB-IoT such as low power consumption

low cost and low sampling rate

an NB-IoT delay estimation algorithm based on inter-cell interference cancellation was proposed.To gradually eliminate the interaction between signals in each cell

an inter-cell iterative interference cancellation algorithm was considered.In each iteration

the idea of time-frequency cross-correlation overlapping was introduced on the basis of traditional correlation algorithms to break through the limitations of the sampling rate and further improve the accuracy of time delay estimation.At the same time

a first-arrival-path (FAP) searching algorithm based on noise threshold was used to suppress multipath effects.Through experimental simulation

the results show that the proposed algorithm can significantly improve the time delay estimation accuracy of NB-IoT on the basis of related algorithms.

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Keywords

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