| 摘要(英) |
The development of the Internet of Things (IoT) will bring profound changes to humanity.
IoT is considered a significant driving force behind current and future wireless communication
technologies. It enables comprehensive connectivity between people and things, as well as
between things th emselves, providing a more convenient, efficient, and secure way of life and
work.
Narrowband Internet of Things (NB IoT) is a powerful technology in large scale machine
type communication and plays a crucial role in the upcoming generation of wireless
communication. The NB IoT standard, developed by the Third Generation Partnership Project
(3GPP), promises improved coverage for a large number of low throughput and low cost
devices in delay tolerant applications, while also offering lower power consumpti on. NB IoT
extensively utilizes design elements from Long Term Evolution (LTE), including downlink
orthogonal frequency division multiple access, uplink single carrier frequency division multiple
access, channel coding, and rate matching. However, a novel narrowband physical random
access channel has been redesigned with a single tone frequency hopping preamble. This paper
focuses on the design and detection of the random access preamble for the NB IoT physical
random access channel, which we refer to as Na rrowband Physical Random Access Channels
(
In this paper, we describe the system architecture and operation principles of NPRACH in
the 3GPP NB IoT system. We first design an optimal activity detection scheme using the
Neyman Pearson criterion. To mitigate the frequency offsets introduced by different carrier
frequency offsets (CFOs), we employ a Joint Maximum Likelihood Estimation (JMLE) to
jointly estimate the Normalized Carrier Frequency Offset (NCFO) and Timing Error (TE),
thereby avoiding th e superposition of time varying frequency selective fading channels. We
also utilize a symbol level matched filter (SLMF) at the receiver to effectively reduce out of
iii
band noise and interference without excessive accumulation of phase increments in cross
band noise and interference without excessive accumulation of phase increments in cross--ccorrelations. The receiver algorithm′s results are simulated and analyzed, focusing on the orrelations. The receiver algorithm′s results are simulated and analyzed, focusing on the improvement of error detection. The simulation results demonstrate that the receiver can improvement of error detection. The simulation results demonstrate that the receiver can effectively reduce the probabilities of false alarm and miss detection, thereeffectively reduce the probabilities of false alarm and miss detection, thereby improving system by improving system performance and efficiency.performance and efficiency. |
| 參考文獻 |
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[2] J. Xu et al., “Narrowband Internet of Things: Evolutions, technologies, and open issues,” IEEE Internet Thing s J., vol. 5, no. 3, pp. 1449–1462, Jun. 2018.
[3] X. Lin, A. Adhikary, and Y.-P. E. Wang, “Random access preamble design and detection for 3GPP narrowband IoT systems,” IEEE Wirel. Commun. Lett., vol. 5, pp. 640–643, Dec. 2016.
[4] J.-K. Hwang, C.-F. Li, and C. Ma, “Efficient detection and synchronization of superimposed NB-IoT NPRACH preambles,” IEEE Internet of Things Journ., vol. 6, pp. 1173–1182, Feb. 2019.
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[18] "Technical specification group GSM/EDGE radio access network; cellular system support for ultra low complexity and low throughput Internet of Things; (release 13) v2.1.0", Aug. 2015.
[19] Evolved Universal Terrestrial Radio Access (E-UTRA); Physical channels and modulation, 2022.
[20] H. Chougrani, S. Kisseleff and S. Chatzinotas, "Efficient Preamble Detection and Time-of-Arrival Estimation for Single-Tone Frequency Hopping Random Access in NB-IoT", IEEE Internet Things J., vol. 8, no. 9, pp. 7437-7449, 2021. |
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