This invention proposes an online SVC
multicast method based on UAV
relay in
NOMA networks, aiming to maximize video reception quality at the
base station edge. The method first constructs a visual
graph model to characterize the
coupling between UAV deployment and
multicast group association. Based on this model, the video reception quality maximization problem is modeled as a
clique-based
nonlinear integer programming problem, decoupling the UAV-
multicast group association and subchannel allocation subproblems. The former is transformed into a maximum weight
clique problem with a vertex limit, and an improved maximum weight
clique algorithm based on
branch and bound is used to determine the UAV-multicast group association mode. For the latter, a rule-matching strategy is adopted to obtain the optimal
resource allocation strategy with less computational cost.
Simulation results show that this invention outperforms existing benchmark schemes in terms of aggregated peak
signal-to-
noise ratio (PSRN),
spectral efficiency, and adaptability.