Enhanced System Acquisition for NB-IoT

Wenjie Yang; Min Hua; Jingjing Zhang; Tingting Xia; Jun Zou; Chengling Jiang; Mao Wang

doi:10.1109/ACCESS.2017.2724601

IEEE Access (Jan 2017)

Enhanced System Acquisition for NB-IoT

Wenjie Yang,
Min Hua,
Jingjing Zhang,
Tingting Xia,
Jun Zou,
Chengling Jiang,
Mao Wang

Affiliations

Wenjie Yang: ORCiD; Wireless Networking and Mobile Communications Group, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Min Hua: Wireless Networking and Mobile Communications Group, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Jingjing Zhang: Wireless Networking and Mobile Communications Group, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Tingting Xia: Wireless Networking and Mobile Communications Group, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Jun Zou: ORCiD; Wireless Networking and Mobile Communications Group, School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Chengling Jiang: Information and Telecommunication Branch, State Grid Jiangsu Electric Power Company, Nanjing, China
Mao Wang: National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

DOI: https://doi.org/10.1109/ACCESS.2017.2724601
Journal volume & issue: Vol. 5
pp. 13179 – 13191

Abstract

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Machine-type communication (MTC) is the key technology to support data transfer among devices (sensors and actuators) in Internet of Things (IoT). Although cellular communication technologies are developed mainly for “human-type”communications, enabling MTC with cellular networks not only improves the connectivity, accessibility, and availability of an MTC network but also has the potential to further drive down the operation cost. However, cellular MTC, especially when applied to low-power massive IoT (mIoT), poses some unique challenges due to the low-cost and low-power nature of an mIoT device. One of the most challenging issues is providing a robust way for an mIoT device to acquire the network under a large frequency offset due to the use of low-cost crystal oscillators and under extended coverage. Although differentiation is a well-known technique for removing impairments caused by frequency offset, its “noise amplification”effect limits its applications in cellular communications due to the fact that cellular communication is typically interference limited. Matched-filter-based detection is, therefore, almost unexceptionally used. We show that the differential technique can actually benefit system acquisition in mIoT, where the use of low-cost crystals is a default. Although the existing system acquisition design in a cellular mIoT system, i.e., NB-IoT, facilitates both techniques, there still remain issues that need to be solved in order to take full advantage of the design. We provide a comprehensive analysis on the performance of two most common techniques when applied in a typical NB-IoT environment based on two factors, the geometry factor and the frequency offset factor. Finally, we derive the operating regions for matched-filter-based detection and differentiation using these two factors, in which the system acquisition performance of the two types of techniques is maximized for NB-IoT.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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