Title: Narrowband internet of things: analysis of frame structure, NPSS sequence generation and detection

Authors: Rasveen; Khyati Chopra; Sandeep Kumar

Addresses: Department of ECE, G.D. Goenka University, Gurugram, India ' Department of CSE, Jamia Hamdard, New Delhi, India ' Department of ECE, Sreyas Institute of Engineering and Technology, Hyderabad, Telangana, India

Abstract: A new cellular technology named narrowband internet of things (NB-IoT) introduced in 3GPP Rel-13 provides wide-area coverage, deep penetration, long battery life and stable performance. The need of this novel technology is to make a rapid communication link, lower battery consumption and reduce the number of retransmissions. The primary requirement to achieve this is to reduce the time for searching the synchronisation signals. NB-IoT device has a random frequency offset which affects the narrowband primary synchronisation signal (NPSS) detection complexity. In this study we firstly, generated an NPSS sequence for which Zadoff-Chu (ZC) sequencing is used. Secondly, to minimise the complexity of NPSS detection, the proposed work performed coarse frequency and timing offset estimation on a received signal. Autocorrelation technique was used for the detection of NPSS. The simulation results showed that the proposed NPSS detection method reduced the search time for the synchronisation signal even when there is a large frequency offset.

Keywords: narrowband internet of things; NB-IoT; narrowband primary synchronisation signal; NPSS; narrowband secondary synchronisation signal; NSSS; sequence generation; correlation; detection.

DOI: 10.1504/IJSCC.2022.119711

International Journal of Systems, Control and Communications, 2022 Vol.13 No.1, pp.67 - 81

Received: 25 Jun 2020
Accepted: 07 Feb 2021

Published online: 16 Dec 2021 *

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