A Low-Complexity Algorithm for Cell Identity Detection in NB-IoT Physical Layer

Hung Ying Chang, Jian Bin Chang, Chao Yu Chen

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728131061
DOIs
出版狀態Published - 2020 五月
事件2020 IEEE Wireless Communications and Networking Conference, WCNC 2020 - Seoul, Korea, Republic of
持續時間: 2020 五月 252020 五月 28

出版系列

名字IEEE Wireless Communications and Networking Conference, WCNC
2020-May
ISSN(列印)1525-3511

Conference

Conference2020 IEEE Wireless Communications and Networking Conference, WCNC 2020
國家Korea, Republic of
城市Seoul
期間20-05-2520-05-28

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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