activity
20182021
most citedA Thorough Study of LoRaWAN Performance Under Different Parameter Settings

129 citations · 131 across the 3 of their papers we have counts for

collaborators

5 papers

cs.NI2021★ 1 cited

Proof of convergence of LoRaWAN model

Davide Magrin, Martina Capuzzo, Andrea Zanella +1

In this document, we prove the convergence of the model proposed in [1], which aims at estimating the LoRaWAN network performance in a single-gateway scenario. First, we provide an…

eess.SY2020

Combining LoRaWAN and a New 3D Motion Model for Remote UAV Tracking

Federico Mason, Federico Chiariotti, Martina Capuzzo +3

Over the last few years, the many uses of Unmanned Aerial Vehicles (UAVs) have captured the interest of both the scientific and the industrial communities. A typical scenario consi…

cs.NI2019★ 1 cited

A Configurable Mathematical Model for Single-Gateway LoRaWAN Performance Analysis

Davide Magrin, Martina Capuzzo, Andrea Zanella +1

LoRaWAN is a Low Power Wide Area Network technology featuring long transmission ranges and a simple MAC layer, which can support sensor data collection, control applications and re…

cs.NI2019★ 129 cited

A Thorough Study of LoRaWAN Performance Under Different Parameter Settings

Davide Magrin, Martina Capuzzo, Andrea Zanella

LoRaWAN is an emerging Low-Power Wide Area Network (LPWAN) technology, which is gaining momentum thanks to its flexibility and ease of deployment. Conversely to other LPWAN solutio…

cs.IT2018

Enabling LTE RACH Collision Multiplicity Detection via Machine Learning

Davide Magrin, Chiara Pielli, Cedomir Stefanovic +1

The collision resolution mechanism in the Random Access Channel (RACH) procedure of the Long-Term Evolution (LTE) standard is known to represent a serious bottleneck in case of mac…