+33 2 32 80 88 00 Contact

In recent years, unmanned aerial vehicles (UAVs) have witnessed widespread utilization across many different commercial and industrial applications, including remote sensing, disaster management, and functioning as aerial base stations [1], [2], [3], [4], [5], [6]. While many of these applications can be implemented using a single UAV, employing multiple UAVs as a swarm brings numerous advantages in terms of cost, effectiveness, and fault tolerance [1,3]. The successful deployment of a UAV swarm in these applications requires reliable communication between the UAVs and the ground control station (GCS), as well as among the UAVs themselves. Therefore, before a UAV swarm is deployed, the communication reliability at the physical layer, which is defined by the cumulative distribution function (CDF) of the received signal-to-interference-and-noise ratio (SINR) for each link in the network, needs to be modeled [7]. This underscores the importance of deriving the probability density function (PDF) of the SINR for each link in the UAV swarm network in order to obtain the CDF.

Pour en savoir plus : UAV swarm communication reliability based on a comprehensive SINR model