TY - GEN
T1 - A Low-Complexity Algorithm for Cell Identity Detection in NB-IoT Physical Layer
AU - Chang, Hung Ying
AU - Chang, Jian Bin
AU - Chen, Chao Yu
N1 - Funding Information:
∗This work was supported by the Ministry of Science and Technology, Taiwan, R.O.C., under Grant MOST 107-2221-E-006-065-MY2.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/5
Y1 - 2020/5
N2 - Narrowband internet of things (NB-IoT) is a new cellular technology introduced by the 3rd generation partnership project (3GPP) for the purpose of massive connections. NB-IoT devices are expected to have low cost and low power. This paper proposes a new low-complexity algorithm for cell identity detection based on the property of the synchronization sequences. A two-stage grouping algorithm is presented to divide all the synchronization sequences into groups by utilizing the property of Zadoff-Chu sequences. Therefore, the number of operations are reduced and hence the computational complexity is decreased. The simulation results show that the proposed grouping method can achieve 70 percent reduction with slight performance loss. Index Terms - NB-IoT, cell ID detection, synchronization, Zadoff-Chu sequence.
AB - Narrowband internet of things (NB-IoT) is a new cellular technology introduced by the 3rd generation partnership project (3GPP) for the purpose of massive connections. NB-IoT devices are expected to have low cost and low power. This paper proposes a new low-complexity algorithm for cell identity detection based on the property of the synchronization sequences. A two-stage grouping algorithm is presented to divide all the synchronization sequences into groups by utilizing the property of Zadoff-Chu sequences. Therefore, the number of operations are reduced and hence the computational complexity is decreased. The simulation results show that the proposed grouping method can achieve 70 percent reduction with slight performance loss. Index Terms - NB-IoT, cell ID detection, synchronization, Zadoff-Chu sequence.
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U2 - 10.1109/WCNC45663.2020.9120525
DO - 10.1109/WCNC45663.2020.9120525
M3 - Conference contribution
AN - SCOPUS:85087282394
T3 - IEEE Wireless Communications and Networking Conference, WCNC
BT - 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020
Y2 - 25 May 2020 through 28 May 2020
ER -