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Hidden Node Probability in LoRa with Listen-Before-Talk

Authors
Cao, ZhenyuJin, HuSeo, Jun-Bae
Issue Date
Oct-2024
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Hidden node probability; Listen-before-talk; LoRa
Citation
IEEE Wireless Communications Letters, v.13, no.10, pp 2917 - 2921
Pages
5
Indexed
SCIE
SCOPUS
Journal Title
IEEE Wireless Communications Letters
Volume
13
Number
10
Start Page
2917
End Page
2921
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/73873
DOI
10.1109/LWC.2024.3453788
ISSN
2162-2337
2162-2345
Abstract
LoRa networks use listen-before-talk (LBT) in unslotted ALOHA to accommodate numerous sensors, often across areas exceeding 10 km. Due to potential hidden nodes, devices may incorrectly detect idle channels. This study investigates the effectiveness of LBT in LoRa, focusing on the hidden node probability (HNP) across different annuli with distinct spreading factors, considering Nakagami-m fading and path loss. We analyze the impact of HNP on the MAC layer performance of unslotted ALOHA, demonstrating LBT's reliability and efficiency in large-scale sensor deployments. © 2012 IEEE.
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