Publications

LoRaWAN:

[magrin2017perfor]

Original paper presenting the LoRaWAN ns-3 module

[capuzzo2018confirloraw]

Using the LoRaWAN module to gain insight on the protocol's peculiarities

[capuzzo2018mathem]

Using a mathematical model to assess LoRaWAN performance and experiment with alternative configurations and settings

[magrin2020thorough]

In-depth simulative analysis of LoRaWAN performance

LTE:

[magrin2019enabling]

Using machine learning to detect the multiplicity of collisions in LTE Random Access

SEM:

[magrin2019sem]

Original paper presenting SEM

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References

• [magrin2017perfor]
  Davide Magrin, Marco Centenaro & Lorenzo Vangelista,
  Performance evaluation of LoRa networks in a smart city scenario,
  in: IEEE International Conference on Communications (ICC), 2017
  10.1109/icc.2017.7996384.
• [capuzzo2018confirloraw]
  Martina Capuzzo, Davide Magrin & Andrea Zanella,
  Confirmed traffic in LoRaWAN: Pitfalls and countermeasures,
  in: Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net), 2018
  10.23919/medhocnet.2018.8407095.
• [capuzzo2018mathem]
  Martina Capuzzo, Davide Magrin & Andrea Zanella,
  Mathematical Modeling of LoRa WAN Performance with Bi-directional Traffic,
  in: IEEE Global Communications Conference (GLOBECOM), 2018
  10.1109/glocom.2018.8647351.
• [magrin2020thorough]
  Davide Magrin, Martina Capuzzo & Andrea Zanella,
  A Thorough Study of Lorawan Performance Under Different Parameter Settings,
  IEEE Internet of Things Journal, 2020
  10.1109/jiot.2019.2946487.
• [magrin2019enabling]
  Davide Magrin, Chiara Pielli, Cedomir Stefanovic & Michele Zorzi,
  Enabling LTE RACH Collision Multiplicity Detection via Machine Learning,
  in: 17th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2019
  .
• [magrin2019sem]
  Davide Magrin, Dizhi Zhou & Michele Zorzi,
  A Simulation Execution Manager for Ns-3: Encouraging Reproducibility and Simplifying Statistical Analysis of Ns-3 Simulations,
  in: Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM, 2019
  10.1145/3345768.3355942.