Coverage Analysis Under Imperfect SIC for EH-Enabled UAV-NOMA Cellular Network in Finite Blocklength Framework

This study thoroughly explores the integration of energy harvesting (EH), finite blocklength (FBL), non-orthogonal multiple access (NOMA), and unmanned aerial vehicles (UAVs) in a cellular network using stochastic geometry. Base stations (BSs), UAVs, and devices are modeled as Poisson point processes (PPPs). NOMA is employed with EH-enabled UAV relays to communicate with non-line-of-sight (NLoS) edge users and the system is analyzed under finite blocklength. The objective of the study is to explore the possibility and the performance of sustainable short packet communication for NLoS edge users through EH, in the presence of interfering BSs. In this direction, the study characterizes the distance distribution of NOMA user pairs, assesses network coverage and demonstrates sustainable communication through harvested energy under imperfect successive interference cancellation conditions. Monte Carlo simulations validate theoretical findings, evaluating the impact of various parameters on coverage performance.