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Slope-Shift Keying LoRa-Based Modulation

delete2021-01-01
delete49
PRE
AI
M
Muhammad Hanif *
H
Ha H. Nguyen
DOI:10.1109/JIOT.2020.3004318delete
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Abstract

Abstract

En 中文
LoRa, a low-power long-range physical-layer communication method, is one of the emerging technologies in low-power wide-area networks (LPWANs). In LoRa, a linearly varying-frequency up chirp and its cyclic shifts act as an orthonormal basis set for message representation. The number of orthonormal basis functions dictates the achievable bit rate of a LoRa system. This article aims to increase the achievable data rate of a conventional LoRa system by adding a set of new orthonormal basis functions to the existing set. Specifically, we use a linearly varying-frequency down chirp and its cyclic shifts to generate the second set of orthonormal basis functions in the proposed scheme, named slope-shift-keying LoRa (SSK-LoRa) modulation. We also develop both low-complexity optimum coherent and noncoherent detection algorithms for the proposed SSK-LoRa modulation. We then obtain closed-form analytical and tight approximations for the bit and symbol error probabilities of noncoherent detection in a Rayleigh fading environment. Our proposed SSK-LoRa scheme is shown to outperform the state-of-the-art LoRa-based modulation schemes.
Keywords:
Chirp
Modulation
Internet of Things
Receivers
Correlation
Rayleigh channels
Bit-error-rate (BER) performance
chirp-spread spectrum modulation
LoRaWAN
low-power long range (LoRa)
noncoherent detection
Rayleigh fading
slope-shift keying (SSK)
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Journal

IEEE Internet of Things Journal cover
IEEE Internet of Things Journal
IF:
8.9
Papers:
1.4W
Citations:
7.8W

Organization

T
Thompson Rivers University
Scholars:
288
Papers: 205
Citations: 0
U
University of Saskatchewan
Scholars:
1.5W
Papers: 1.4W
Citations: 1.7W