LoRa Symbol Error Rate Under Non-Aligned Interference

Afisiadis, Orion; Cotting, Matthieu; Burg, Andreas; Balatsoukas‐Stimming, Alexios

doi:10.1109/ieeeconf44664.2019.9048665

Cited by 11 publications

(17 citation statements)

References 15 publications

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“…This algorithm allows multiple end devices to communicate at the same time over the same channel, i.e., a receiver implementing this algorithm can detect a known target signal in the presence of other signals. In the literature, there are some other algorithms [28], [17], [8] which achieve the same objective, i.e., allow a target number of concurrent transmissions over the same channel in the LoRaWAN network. The complexity of implementing such an algorithm increases wrt.…”

Section: Network Dimensions With K-tolerance Algorithmmentioning

confidence: 99%

Designing LoRaWAN Network For Unbiased Communication Between Nodes and Gateway

Maurya

Singh

Kherani

2021

Preprint

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Proper cell designing is required to achieve a target system performance in Long Range Wide Area Network (LoRaWAN). This paper addresses a suitable selection of network designing parameters problem, such as the dimension of different spreading factors’ annuli (zones or SF boundaries) in a LoRaWAN cell. We propose a mathematical framework for designing the LoRaWAN network. The main objective is to ensure that distributed end devices in the network can have the same success probability, irrespective of the spreading factor usage and their locations, unlike Equal Area Based (EAB) based network. We further enhance the performance of the network based on the proposed dimensions by adopting the k-tolerance algorithm. When the network follows the proposed dimensions, simulation results show an improvement in overall success probability over the traditional EAB scheme. In the later part of the paper, we address urbanization issues that degrade the system performance. In our approach to recoup the degradation in the system performance, we implement k−tolerance algorithm in the network.

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Section: Network Dimensions With K-tolerance Algorithmmentioning

confidence: 99%

Designing LoRaWAN Network For Unbiased Communication Between Nodes and Gateway

Maurya

Singh

Kherani

2021

Preprint

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“…Authors in [8], [9] have analyzed the impact of a same-SF interfering signal on the decoding performance of the signal of interest by presenting the theoretical models of the interference. This analysis is done at the expense of the interfering signal whose information is lost.…”

Section: Related Workmentioning

confidence: 99%

“…We propose the following Table to summarize this state of the art: [8], [9] Only the strongest signal [10], [11] Only the strongest signal [12] Not precised [13] Only 2 superposed signals [14] Only 2 superposed signals…”

Section: Related Workmentioning

confidence: 99%

“…In this section, we present the structure of the signals transmitted by LoRa nodes. For more details on the LoRa physical layer, reader can refer to [9], [15], [16].…”

Section: A Presentation Of the Transmitted Lora Signalsmentioning

confidence: 99%

“…Based on the principle of the LoRa-Like symbol detection detailed in [9], [15], [17] and on Fig. 5, the signal obtained after the FFT, which corresponds to the processing of p th Tlong section of the de-chirping sequence is equal to:…”

Section: B Received Signals At the Gatewaymentioning

confidence: 99%

See 2 more Smart Citations

An Enhanced Receiver to Decode Superposed LoRa-Like Signals

Temim

Ferré

Laporte-Fauret

et al. 2020

IEEE Internet Things J.

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To cope with the exponential rise of emerging technology, there have been significant developments in intelligent communication systems aimed at low power and longrange wireless Internet of Things (IoT) communication. Among the various number of leading low power wide area network (LPWAN) technologies, Long Range (LoRa) has emerged to be an attractive solution to connect devices in free bands. Operating in unlicensed bands requires connected objects to reduce their energy consumption. To this end, one of the adopted techniques is the random access to the radio channel, which leads to an increase in the probability of packet collisions. In this paper, we propose a new receiver capable to decode several IoT LoRa-Like signals simultaneously received with the same Spreading Factor which leads to destructive collisions. Based on the particular structure of the received signals and the Successive Interference Cancellation (SIC) algorithm, we propose a novel approach to decode superposed LoRa-like signals iteratively. Simulations and real LoRa deployments are presented to validate the efficiency of our receiver.

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A Reviewing Approach to Analyze the Advancements of Error Detection and Correction Codes in Channel Coding With Emphasis on LPWAN and IoT Systems

Ali,

Hashim,

Chaudhary

et al. 2023

IEEE Access

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Error control coding improves reliability and efficiency of wireless communication systems. This research delves into the latest advancements in error control coding schemes for wireless communication systems, with a specific focus on their application within the domain of Low Power Wide Area Networks (LPWANs) such as Narrowband Internet of Things (NB-IoT) systems, LoRa energy-efficient hardware design, random access control systems, and wireless sensor networks. In the context of LPWANs, particularly NB-IoT systems, we investigate the adaptive coding and modulation (ACM) in NB-IoT systems, which adapts coding rates and modulation techniques to changing channel circumstances. Comprehensive analysis of the literature review shows that the proposed approaches are more energy efficient and less errorprone than fixed coding and modulation schemes. Using Cell Design Methodology (CDM), Single Error Correction (SEC) codes are optimized for energy efficiency. Power and energy efficiency have improved in standard CMOS and CDM logic systems. This impacts IoT devices, memory storage, and security systems. Next, Forward Error Correction (FEC) is examined for ALOHA-based random-access control systems wherein packet loss rate and spectral efficiency metrics are mathematically calculated. FEC is beneficial, especially when time and frequency synchronization diverge. Monte Carlo simulations studied in the literature shows that FEC improves satellite communication systems. This review establishes benefits of FEC, notably in satellite communications systems. In addition, Wireless Sensor Networks (WSNs) error control techniques and network reliability and performance are examined along with Convolutional, Turbo, Low density parity check codes(LDPC), and Polar error correction coding (ECC) methods. We learn about their benefits, drawbacks, and implementation challenges by assessing their efficacy, efficiency, and applicability in wireless sensor networks (WSN) applications. This study further highlights advancements of energy-efficient error control coding when, integrated into network designs alongwith the trade-offs between efficacy and intricacy to help improve wireless communication networks. Finally, this study summarizes current error control coding approaches for wireless communication systems. We provide insights into improving reliability, energy conservation, and efficacy by examining ACM, CDM, FEC, and error correction coding (ECC) across varied domains including LPWAN and IoT technologies with earnest hope to facilitate researchers, engineers, and professionals working in the field of error control coding in wireless communication.

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LoRa Symbol Error Rate Under Non-Aligned Interference

Cited by 11 publications

References 15 publications

Designing LoRaWAN Network For Unbiased Communication Between Nodes and Gateway

Designing LoRaWAN Network For Unbiased Communication Between Nodes and Gateway

An Enhanced Receiver to Decode Superposed LoRa-Like Signals

A Reviewing Approach to Analyze the Advancements of Error Detection and Correction Codes in Channel Coding With Emphasis on LPWAN and IoT Systems

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