471 citations · 1.1k across the 39 of their papers we have counts for
4 papers · 1 filter
Statistical learning of geometric characteristics of wireless networks
Antoine Brochard, Bartłomiej Błaszczyszyn, Stéphane Mallat +1
Motivated by the prediction of cell loads in cellular networks, we formulate the following new, fundamental problem of statistical learning of geometric marks of point processes: A…
Determinantal thinning of point processes with network learning applications
Bartłomiej Błaszczyszyn, Paul Keeler
A new type of dependent thinning for point processes in continuous space is proposed, which leverages the advantages of determinantal point processes defined on finite spaces and,…
Analyzing LoRa long-range, low-power, wide-area networks using stochastic geometry
Bartłomiej Błaszczyszyn, Paul Mühlethaler
In this paper we present a simple, stochastic-geometric model of a wireless access network exploiting the LoRA (Long Range) protocol, which is a non-expensive technology allowing f…
The Influence of Canyon Shadowing on Device-to-Device Connectivity in Urban Scenario
Quentin Le Gall, Bartłomiej Błaszczyszyn, Elie Cali +1
In this work, we use percolation theory to study the feasibility of large-scale connectivity of relay-augmented device-to-device (D2D) networks in an urban scenario, featuring a ha…