Coverage Probability of EH-enabled LoRa networks - A Deep Learning Approach

Coverage Probability of EH-enabled LoRa networks - A Deep Learning Approach

The performance of energy harvesting (EH)-enabled long-range (LoRa) networks is analyzed in this work. Specifically, we employ deep learning (DL) to estimate the coverage probability (Pcov) of the considered networks. Our study incorporates a general fading distribution, specifically the Nakagami-m...

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Bibliographic Details
Main Authors: Thi-Tuyet-Hai Nguyen, Tran Cong-Hung, Nguyen Hong-Son, Tan Hanh, Tran Trung Duy, Lam-Thanh Tu
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2024-12-01
Series:EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
Subjects:
Coverage probability
deep learning
energy harvesting
long range
power beacon
Online Access:https://publications.eai.eu/index.php/inis/article/view/6780
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https://publications.eai.eu/index.php/inis/article/view/6780

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