.png){kind=icon}
返回
NB-IoT Random Access: Data-Driven Analysis and ML-Based Enhancements
.png){kind=icon}
PRE
AI
DOI：10.1109/JIOT.2021.3051755.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In the context of massive machine-type communications (mMTCs), the narrowband Internet-of-Things (NB-IoT) technology is envisioned to efficiently and reliably deal with massive device connectivity. Hence, it relies on a tailored random access (RA) procedure, for which theoretical and empirical analyses are needed for a better understanding and further improvements. This article presents the first data-driven analysis of NB-IoT RA, exploiting a large-scale measurement campaign. We show how the RA procedure and performance are affected by network deployment, radio coverage, and operators' configurations, thus complementing simulation-based investigations, mostly focused on massive connectivity aspects. A comparison with the performance requirements reveals the need for procedure enhancements. Hence, we propose a machine learning (ML) approach and show that RA outcomes are predictable with good accuracy by observing radio conditions. We embed the outcome prediction in an RA-enhanced scheme and show that optimized configurations enable power consumption reduction of at least 50%. We also make our data set available for further exploration, toward the discovery of new insights and research perspectives.
Keyword:
Internet of Things
Long Term Evolution
Narrowband
Estimation
Downlink
Synchronization
Frequency conversion
Cellular Internet of Things
empirical analysis
massive machine-type communications (mMTCs)
narrowband Internet of Things (NB-IoT)
random access (RA)
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
On the Evaluation of the NB-IoT Random Access Procedure in Monitoring Infrastructures监控基础设施中nb-iot随机接入过程的评估.png)
SENSORS
OAAI
SENSORSIF3.5
OAAI分享收藏分享收藏
查看更多内容