On the Coexistence of LoRa- and Interleaved Chirp Spreading LoRa-Based Modulations

Edward, Phoebe; Elzeiny, Sondos; Ashour, Mohamed; Elshabrawy, Tallal

doi:10.1109/wimob.2019.8923211

Cited by 23 publications

(11 citation statements)

References 10 publications

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“…This can be achieved when the desired signal is sufficiently stronger than the interfering one. Such results have been presented in LoRa communications in [2]. However, an interleaved chirp spreading (ICS) modulation scheme is used, and this is not directly backward compatible with the LoRaWAN standard.…”

Section: Introductionmentioning

confidence: 92%

Deep Learning-based Signal Detection for Uplink in LoRa-like Networks

Tesfay

Simon

Kharbech

et al. 2021

2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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The increasing number of devices together with uncoordinated transmissions result in a major challenge of scalability in the Internet of things. This paper deals with signal detection in the uplink of a LoRa network through a deep learning-based approach. Two strategies are proposed: regression for bit detection based on a deep feedforward neural network and classification for symbol detection based on a convolutional neural network. These receivers can decode a selected user's signals when multiple users simultaneously transmit over the same frequency band with the same spreading factor. Simulation results show that both receivers outperform the classical LoRa one in the presence of interference. The results show that the introduced approach is relevant to deal with the scalability issue.

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Section: Introductionmentioning

confidence: 92%

Deep Learning-based Signal Detection for Uplink in LoRa-like Networks

Tesfay

Simon

Kharbech

et al. 2021

2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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“…To enhance LoRa capacity, error correction schemes were used in [19], whereas [20] used interleaved chirp spreading. In [21], the co-existence of LoRa and interleaved chirp spreading was investigated.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Chirp Signal Design for Improved Long-Range (LoRa) Communications

Noor-A-Rahim

Khyam

Mahmud

et al. 2022

Signals

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Long-range (LoRa) communication has attracted much attention recently due to its utility for many Internet of Things applications. However, one of the key problems of LoRa technology is that it is vulnerable to noise/interference due to the use of only up-chirp signals during modulation. In this paper, to solve this problem, unlike the conventional LoRa modulation scheme, we propose a modulation scheme for LoRa communication based on joint up- and down-chirps. A fast Fourier transform (FFT)-based demodulation scheme is devised to detect modulated symbols. To further improve the demodulation performance, a hybrid demodulation scheme, comprised of FFT- and correlation-based demodulation, is also proposed. The performance of the proposed scheme is evaluated through extensive simulation results. Compared to the conventional LoRa modulation scheme, we show that the proposed scheme exhibits over 3 dB performance gain at a bit error rate of 10−4.

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“…One of the first PHY layer inspired approaches to proposed to increase the bit rate relative to LoRa is ICS-LoRa [47]. The authors in [56] investigates the coexistence of LoRa and ICS-LoRa, whereby, it is foreseen that LoRa network can accommodate both LoRa as well as ICS-LoRa. Moreover, in [57], ICS-LoRa is employed as a parallel logical network along with LoRa to enhance the LoRa capacity.…”

Section: B Interleaved Chirp-spreading (Ics)-loramentioning

confidence: 99%

A Survey on Chirp Spread Spectrum-based Waveform Design for IoT

Azim¹,

Bazzi²,

Shubair³

et al. 2022

Preprint

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<p>Long Range (LoRa) is one of the most promising and widespread chirp spread spectrum (CSS)-based physical (PHY) layer technique for low-power wide-area networks (LPWANs). Using different spreading factors, LoRa can attain different spectral/energy efficiencies, and can target multitude of Internet-of-Thing (IoT) applications. However, one of the limiting factors for LoRa is the low bit rate. Little to no effort has been made in order to improve the achievable rate of LoRa, until recently, when a number of CSS-based PHY layer LoRa alternative are proposed for LPWANs. In this survey, for the first time, we present a comprehensive waveform design of these CSS-based schemes that have been proposed between 2019 to 2022. In total, fifteen alternatives to LoRa are compared. Other survey articles related to LoRa mostly tackle different issues, such as LoRa networking, LoRa deployment in massive IoT networks, and LoRa architectures, etc. This survey, on the other hand, comprehensively elucidates the waveform design of LoRa alternatives. The CSS schemes studied in this survey are divided into single chirp, multiple chirp, and index modulation based on the multiplexing pattern of the chirps. Complete transceiver architecture of these CSS schemes is studied, and performance is evaluated in terms of energy efficiency (EE), spectral efficiency (SE), bit-error rate (BER) performance in additive white Gaussian noise, BER in the presence of phase and frequency offsets. It has been observed that the EE, SE and robustness against the offsets is primarily linked to transmit symbol frame structure. The public versions of the MATLAB codes for the CSS schemes studied in this survey shall be provided to promote reproducible research.</p>

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On the Coexistence of LoRa- and Interleaved Chirp Spreading LoRa-Based Modulations

Cited by 23 publications

References 10 publications

Deep Learning-based Signal Detection for Uplink in LoRa-like Networks

Deep Learning-based Signal Detection for Uplink in LoRa-like Networks

Hybrid Chirp Signal Design for Improved Long-Range (LoRa) Communications

A Survey on Chirp Spread Spectrum-based Waveform Design for IoT

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