Hidden Node Probability in LoRa With Listen-Before-Talk

IF 5.5 3区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Wireless Communications Letters Pub Date : 2024-09-03 DOI:10.1109/LWC.2024.3453788
Zhenyu Cao;Hu Jin;Jun-Bae Seo
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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 letter 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.
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采用先听后说技术的 LoRa 隐藏节点概率
LoRa 网络在无插槽 ALOHA 中使用先听后说(LBT)技术,以容纳众多传感器,通常可跨越超过 10 千米的区域。由于存在潜在的隐藏节点,设备可能会错误地检测到空闲信道。这封信研究了 LoRa 中 LBT 的有效性,重点是具有不同传播因子的不同环形区域中的隐藏节点概率(HNP),并考虑了 Nakagami-m 衰减和路径损耗。我们分析了 HNP 对无插槽 ALOHA 的 MAC 层性能的影响,证明了 LBT 在大规模传感器部署中的可靠性和效率。
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来源期刊
IEEE Wireless Communications Letters
IEEE Wireless Communications Letters Engineering-Electrical and Electronic Engineering
CiteScore
12.30
自引率
6.30%
发文量
481
期刊介绍: IEEE Wireless Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of wireless communications. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of wireless communication systems.
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