Max-Min Fair Power Control and Coverage Probability for UAV-Assisted Cooperative and Cognitive NOMA

We study a relay-based unmanned aerial vehicle (UAV) to serve secondary users in a hot-spot area while taking practical considerations that directly impact the achievable network performance into account. Practical deployment issues that are studied include the UAV's path-loss model, hardware impairments, channel and interference cancellation imperfections. We also provide an optimal power allocation (PA) algorithm to guarantee fair performance among secondary NOMA users. Based on the optimal PA, the closed-form coverage probability is derived for secondary users.