Joint Location and Transmit Power Optimization for NOMA-UAV Networks via Updating Decoding Order

Unmanned aerial vehicle (UAV) can be combined with non-orthogonal multiple access (NOMA) to achieve better performance. However, jointly optimizing the location, transmit power and decoding order for NOMA-UAV networks remains difficult, due to the change of decoding order as a result of UAV mobility. In this letter, a low-complexity scheme is proposed to maximize the sum rate of NOMA-UAV networks via updating decoding order, which can be decomposed into two steps. First, the joint location and power optimization can be divided into two non-convex sub-problems, which are further approximated via successive convex optimization. Then, the decoding order is updated according to the optimized UAV location. An iterative algorithm is proposed to execute the two steps alternately. In addition, the asymptotic performance is analyzed. Simulation results demonstrate the effectiveness of the proposed scheme.

Automated summary

This letter proposes a low-complexity scheme to maximize the sum rate of NOMA-UAV networks by updating decoding order, effectively addressing the difficulty of jointly optimizing the location, transmit power, and decoding order due to UAV mobility.