Abstract
This work investigates the signal-to-interference-plus-noise ratio (SINR) meta distribution in UAV swarm networks employing distributed election multiple access. We develop an analytical framework for the SINR meta distribution, incorporating path loss, Nakagami-m fading, and network self-interference. We derive the moments of the conditional success probability, from which both the average success probability and its variance are obtained. Given the computational complexity of determining the exact meta distribution, we apply the widely used beta approximation and validate its effectiveness across various network parameters. Theoretical and simulation results offer insight into the impacts of node density, maintenance scope, and transmission range on the network reliability and efficiency.