Sum Rate Optimization Scheme of UAV-Assisted NOMA under Hardware Impairments

In the unmanned aerial vehicle (UAV) assisted non-orthogonal multiple access (NOMA) networks, practical hardware impairments (HIs) and resource allocation is still a challenging problem. Most existing research on algorithms for UAV communication considered with ideal condition. However, impact of HIs system performance cannot be ignored, especially in case high bit rates. Considering HIs, most studies are from perspective analysis. The relay-assisted NOMA systems investigated this paper HIs. We aim to maximize sum rate by jointly optimizing deployment transmit power. To address problem, we first transformed mixed integer programming problem (MIPP) into standard convex optimization based successive approximation (SCA) technology. Then, introduced Lagrangian dual transformation quadratic transform methods solve power Finally, propose an effective iterative algorithm achieve approximate optimal solution. Numerical results demonstrate that proposed achieved better terms compared other benchmark schemes.