Poisson Hail on a Wireless Ground
Fran\c{c}ois Baccelli, Ke Feng, and Sergey Foss

TL;DR
This paper introduces a new wireless communication model combining interference, queue dynamics, and collision avoidance, showing that sensing can stabilize systems that would otherwise be unstable.
Contribution
It develops a Markov process framework for the model and characterizes the stability region, highlighting the stabilizing effect of collision avoidance.
Findings
Sensing and collision avoidance can stabilize otherwise unstable systems.
The model is represented as a Markov process on counting measures.
Critical arrival rates for stability are characterized.
Abstract
This paper defines a new model which incorporates three key ingredients of a large class of wireless communication systems: (1) spatial interactions through interference, (2) dynamics of the queueing type, with users joining and leaving, and (3) carrier sensing and collision avoidance as used in, e.g., WiFi. In systems using (3), rather than directly accessing the shared resources upon arrival, a customer is considerate and waits to access them until nearby users in service have left. This new model can be seen as a missing piece of a larger puzzle that contains such dynamics as spatial birth-and-death processes, the Poisson-Hail model, and wireless dynamics as key other pieces. It is shown that, under natural assumptions, this model can be represented as a Markov process on the space of counting measures. The main results are then two-fold. The first is on the shape of the stability…
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