  In this paper, we propose a new resource allocation framework for unmanned
aerial vehicle (UAV) assisted multicast wireless networks in which the network
users according to their request are divided into several multicast groups. We
adopt power domain non-orthogonal multiple access (PD-NOMA) as the transmission
technology using which the dedicated signals of multicast groups are
superimposed and transmitted simultaneously as the UAV passes over the
communication area for fixed and mobile users. We discuss the proposed
scenarios from two perspectives, offline and online mode. In offline mode, we
implement the problem for fixed and mobile users whose locations are
predictable (the location of users, over the communication time, is known at
the beginning of the communication time) and in online mode for mobile users
whose locations are unpredictable (the location of users, over the
communication time, is unknown at the beginning of the communication time).
Also, we proposed a scenario in which the online model the number of mobile
users can grow in each time slot. We formulate the problem of joint power
allocation and UAV trajectory design as an optimization problem that is
non-linear and nonconvex for two proposed scenarios. To solve the problem, we
adopt an alternate search method (ASM), successive convex approximation (SCA),
and geometric programming (GP). Using simulation results, the performance of
the proposed scheme is evaluated for different values of the network
parameters.

Systems and Control;Systems and Control