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Investigating and Experimenting Interference Mitigation by Capture Effect in LoRa Networks

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Muhammad EhsanAuthors Info & Claims

ICFNDS '19: Proceedings of the 3rd International Conference on Future Networks and Distributed Systems

Article No.: 31, Pages 1 - 6

https://doi.org/10.1145/3341325.3342022

Published: 01 July 2019 Publication History

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Tesfay AKharbech SSimon EClavier L(2023)Signal Denoising and Detection for Uplink in LoRa Networks Based on Bayesian-Optimized Deep Neural NetworksIEEE Communications Letters10.1109/LCOMM.2022.321733727:1(214-218)Online publication date: Jan-2023
https://doi.org/10.1109/LCOMM.2022.3217337
Pasolini G(2022)On the LoRa Chirp Spread Spectrum Modulation: Signal Properties and Their Impact on Transmitter and Receiver ArchitecturesIEEE Transactions on Wireless Communications10.1109/TWC.2021.309566721:1(357-369)Online publication date: Jan-2022
https://doi.org/10.1109/TWC.2021.3095667
Fehri CBaccour NKammoun I(2022)Performance evaluation of the Over-The-Air activation procedure in a large scale LoRaWANWireless Networks10.1007/s11276-022-02952-828:6(2455-2470)Online publication date: 27-Apr-2022
https://doi.org/10.1007/s11276-022-02952-8
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ICFNDS '19: Proceedings of the 3rd International Conference on Future Networks and Distributed Systems

July 2019

346 pages

ISBN:9781450371636

DOI:10.1145/3341325

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 July 2019

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ICFNDS '19: 3rd International Conference on Future Networks and Distributed Systems

July 1 - 2, 2019

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Tesfay AKharbech SSimon EClavier L(2023)Signal Denoising and Detection for Uplink in LoRa Networks Based on Bayesian-Optimized Deep Neural NetworksIEEE Communications Letters10.1109/LCOMM.2022.321733727:1(214-218)Online publication date: Jan-2023
https://doi.org/10.1109/LCOMM.2022.3217337
Pasolini G(2022)On the LoRa Chirp Spread Spectrum Modulation: Signal Properties and Their Impact on Transmitter and Receiver ArchitecturesIEEE Transactions on Wireless Communications10.1109/TWC.2021.309566721:1(357-369)Online publication date: Jan-2022
https://doi.org/10.1109/TWC.2021.3095667
Fehri CBaccour NKammoun I(2022)Performance evaluation of the Over-The-Air activation procedure in a large scale LoRaWANWireless Networks10.1007/s11276-022-02952-828:6(2455-2470)Online publication date: 27-Apr-2022
https://doi.org/10.1007/s11276-022-02952-8
Fahmida SModekurthy VRahman MSaifullah ABrocanelli M(2020)Long-Lived LoRa: Prolonging the Lifetime of a LoRa Network2020 IEEE 28th International Conference on Network Protocols (ICNP)10.1109/ICNP49622.2020.9259375(1-12)Online publication date: 13-Oct-2020
https://doi.org/10.1109/ICNP49622.2020.9259375

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Interference Modeling and Analysis in Cognitive Radio Networks

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