Optimizing Energy Efficiency for Supporting Near-Cloud Access Region of UAV-Based NOMA Networks in IoT Systems

Nonorthogonal multiple access (NOMA) and unmanned aerial vehicle (UAV) are two promising technologies for the wireless fifth generation (5G) networks beyond. On one hand, UAVs can be deployed as flying base stations to build line-of-sight (LoS) communication links ground users (GUs) improve performance of conventional terrestrial cellular networks. other NOMA enables share an orthogonal resource simultaneously, thus improving spectral efficiency supporting massive connectivities. This paper presents protocols, namely, cloud-based central station- (CCS-) based power-splitting protocol (PSR) time-switching (TSR), simultaneous information power transmission (SWIPT) at UAV employed in domain NOMA-based multitier heterogeneous cloud radio network (H-CRAN) Internet Things (IoT) system. The system model with k types which CCS manages entire H-CRAN operates a unit is proposed our work. Closed-form expressions throughput energy (EE) derived. In particular, EE determined impacts allocation CCS, various types, channel environment. simulation results show that CCS-based PSR outperforms TSR CCS. contrary, has higher than cases impact analytic match Monte Carlo simulations.