@inproceedings{e790bd2c959b49a1828de65569f8a6d6,
title = "A Turbo Coded LoRa-Index Modulation Scheme for IoT Communication",
abstract = "Long-Range (LoRa) is one of the emerging technologies in low-power wide-area networks (LPWANs). LoRa physical layer (PHY) employs chirp spread spectrum (CSS) on top of a variant of frequency shift keying (FSK), and noncoherent detection is employed at the receiver for obtaining the transmitted data symbols. In this paper, we focus on data transmission performance in Internet-of-Things (IoT) networks. This paper first analyzes the BER performance of LoRa modulation. To improve the spectral efficiency and energy efficiency, we propose a method for LoRa physical layer improvement based on index modulation and derive the theoretical error rate of the index bit and information bits. Furthermore, Turbo code is employed to improve the BER performance of the scheme. Simulation results are presented and the transmission performance is analyzed.",
keywords = "IoT, LoRa, Turbo code, index modulation",
author = "Shixiang An and Zhiping Lu and Hua Wang and Quantao Yu",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 21st IEEE International Conference on Communication Technology, ICCT 2021 ; Conference date: 13-10-2021 Through 16-10-2021",
year = "2021",
doi = "10.1109/ICCT52962.2021.9657863",
language = "English",
series = "International Conference on Communication Technology Proceedings, ICCT",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "736--740",
booktitle = "2021 IEEE 21st International Conference on Communication Technology, ICCT 2021",
address = "United States",
}
