A Turbo Coded LoRa-Index Modulation Scheme for IoT Communication

Shixiang An; Zhiping Lu; Hua Wang; Quantao Yu

doi:10.1109/ICCT52962.2021.9657863

A Turbo Coded LoRa-Index Modulation Scheme for IoT Communication

Shixiang An
, Zhiping Lu
, Hua Wang
, Quantao Yu

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

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.

Original language	English
Title of host publication	2021 IEEE 21st International Conference on Communication Technology, ICCT 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	736-740
Number of pages	5
ISBN (Electronic)	9781665432061
DOIs	https://doi.org/10.1109/ICCT52962.2021.9657863
Publication status	Published - 2021
Event	21st IEEE International Conference on Communication Technology, ICCT 2021 - Tianjin, China Duration: 13 Oct 2021 → 16 Oct 2021

Publication series

Name	International Conference on Communication Technology Proceedings, ICCT
Volume	2021-October

Conference

Conference	21st IEEE International Conference on Communication Technology, ICCT 2021
Country/Territory	China
City	Tianjin
Period	13/10/21 → 16/10/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

IoT
LoRa
Turbo code
index modulation

Access to Document

10.1109/ICCT52962.2021.9657863

Cite this

An, S., Lu, Z., Wang, H., & Yu, Q. (2021). A Turbo Coded LoRa-Index Modulation Scheme for IoT Communication. In 2021 IEEE 21st International Conference on Communication Technology, ICCT 2021 (pp. 736-740). (International Conference on Communication Technology Proceedings, ICCT; Vol. 2021-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCT52962.2021.9657863

@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",

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}

An, S, Lu, Z, Wang, H & Yu, Q 2021, A Turbo Coded LoRa-Index Modulation Scheme for IoT Communication. in 2021 IEEE 21st International Conference on Communication Technology, ICCT 2021. International Conference on Communication Technology Proceedings, ICCT, vol. 2021-October, Institute of Electrical and Electronics Engineers Inc., pp. 736-740, 21st IEEE International Conference on Communication Technology, ICCT 2021, Tianjin, China, 13/10/21. https://doi.org/10.1109/ICCT52962.2021.9657863

A Turbo Coded LoRa-Index Modulation Scheme for IoT Communication. / An, Shixiang; Lu, Zhiping; Wang, Hua et al.
2021 IEEE 21st International Conference on Communication Technology, ICCT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 736-740 (International Conference on Communication Technology Proceedings, ICCT; Vol. 2021-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Turbo Coded LoRa-Index Modulation Scheme for IoT Communication

AU - An, Shixiang

AU - Lu, Zhiping

AU - Wang, Hua

AU - Yu, Quantao

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

KW - IoT

KW - LoRa

KW - Turbo code

KW - index modulation

UR - https://www.scopus.com/pages/publications/85124379359

U2 - 10.1109/ICCT52962.2021.9657863

DO - 10.1109/ICCT52962.2021.9657863

M3 - Conference contribution

AN - SCOPUS:85124379359

T3 - International Conference on Communication Technology Proceedings, ICCT

SP - 736

EP - 740

BT - 2021 IEEE 21st International Conference on Communication Technology, ICCT 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st IEEE International Conference on Communication Technology, ICCT 2021

Y2 - 13 October 2021 through 16 October 2021

ER -

A Turbo Coded LoRa-Index Modulation Scheme for IoT Communication

Abstract

Publication series

Conference

UN SDGs

Keywords

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