Optimization Design Of UAV Aided NOMA Communication System

Achieving high spectral efficiency and massive connectivity with wider coverage and lower delay is the key challenge for wireless communications.NOMA as an emerging technology can improve the spectrum utilization as well as support for massive user access.Moreover,due to the high mobility and flexible deployment,UAVs have been an important component of wireless communication networks.Following the current development trend,this thesis focuses on the NOMA technology,especially PD-NOMA and PDMA,and applies it to UAV communications.In this thesis,a multi-UAV aided downlink PD-NOMA system is established,and by applying combinatorial and convex optimization technologies,an effective PD-NOMA system optimization algorithm is proposed to iteratively solve four subproblems of user association,bandwidth allocation,power control,UAV trajectory design.Furthermore,a downlink PDMA-UAV system is established,and an iterative PDMA system optimization algorithm is proposed to improve system total rate by optimizing jointly the power control,PDMA pattern matrix design and UAV trajectory design,while ensuring the sparsity and diversity of pattern matrix.We also verify the effectiveness of these two algorithms in improving system performance through simulation results.UAV aided NOMA communication provides a feasible solution to solve the future radio network facing the challenging requirements.