Analysis of the reliability of LoRa

qadir, qahhar muhammad

doi:10.36227/techrxiv.13173254

Cited by 5 publications

(6 citation statements)

References 8 publications

(8 reference statements)

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“…5 and Fig. 6 show the received power levels of RPW and LoRa for varying BERs under AWGN and multipath conditions using (39) with Γ min and Γ f,min from Table 1, respectively. To achieve BER of 10 -5 , the sensitivity of LoRa under AWGN is much higher than RPW.…”

Section: B Sensitivitymentioning

confidence: 99%

LoRa and Rotating Polarization Wave: Physical Layer Principles and Performance Evaluation

et al. 2023

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Link reliability and enhanced coverage are the primitive concerns of Low-Power Wide-Area Networks (LPWANs) for suitability to critical Internet of Things (IoT) applications. Reliability is limited by the destructive multipath propagation, data rate and sensitivity, that ultimately limits the coverage range. LoRa by far is the predominant LPWAN operating on unlicensed spectrum. Despite its robust Chirp Spread Spectrum (CSS) modulation, there is a severe degradation in its error performance particularly in hostile propagation environments, and an excessive reduction in coverage. Rotating Polarization Wave (RPW) is a potential LPWAN recently emerged to achieve a highly reliable IoT and Machine-to-Machine (M2M) communication. This is the first paper to provide comprehensive error performance comparison between LoRa and RPW. Okumura-Hata model is used for median path loss calculation. Shadowing and fast fading margins of RPW and LoRa are estimated. Effective gain of RPW is computed from error performance. Results have shown that LoRa offers a sensitivity of 23 dB higher than RPW under AWGN conditions. However, under fading conditions, RPW exhibits a sensitivity of 15 dB higher than LoRa. At a reference distance of 100 m, the maximum received signal strength of RPW is -39 dBm, which is 29 dB above LoRa. The maximum coverage distance attained by RPW is 15 km, which is 1.5 times of LoRa.

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Section: B Sensitivitymentioning

confidence: 99%

LoRa and Rotating Polarization Wave: Physical Layer Principles and Performance Evaluation

et al. 2023

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“…/2 SF , respectively. When a path-loss model is considered in the relaying LoRa system [10], [18], the corresponding average SNR are γS,R l =…”

Section: B Two-hop Af Relaying Lora Systemmentioning

confidence: 99%

Performance Analysis of a Two-Hop Relaying LoRa System

Cai

Fang

et al. 2021

Preprint

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The conventional LoRa system is not able to sustain long-range communication over fading channels. To resolve the challenging issue, this paper investigates a two-hop opportunistic amplify-and-forward relaying LoRa system. Based on the best relay-selection protocol, the analytical and asymptotic bit error rate (BER), achievable diversity order, coverage probability, and throughput of the proposed system are derived over the Nakagamim fading channel. Simulative and numerical results show that although the proposed system reduces the throughput compared to the conventional LoRa system, it can significantly improve BER and coverage probability. Hence, the proposed system can be considered as a promising platform for low-power, long-range and highly reliable wireless-communication applications.Index terms-LoRa modulation, two-hop relay system, Nakagami-m fading channel, bit error rate.

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“…LoRa is based on a chirp spread spectrum (CSS) modulation technique, and it allows quasi-orthogonal transmissions using different spreading factors (SF) and bandwidth settings. However, collisions occur at the receiver when two or more devices simultaneously transmit with the same SF on the same frequency band [1], generally resulting in packet loss. A single packet can be correctly decoded despite the collision using the receiver's capture effect phenomenon.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-based receiver for Uplink in LoRa Networks with Sigfox Interference

Tesfay

Simon

Kharbech

et al. 2022

2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)

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Analysis of the reliability of LoRa

Cited by 5 publications

References 8 publications

LoRa and Rotating Polarization Wave: Physical Layer Principles and Performance Evaluation

LoRa and Rotating Polarization Wave: Physical Layer Principles and Performance Evaluation

Performance Analysis of a Two-Hop Relaying LoRa System

Deep Learning-based receiver for Uplink in LoRa Networks with Sigfox Interference

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