Joint Gateway Selection and Resource Allocation for Cross-Tier Communication in Space-Air-Ground Integrated IoT Networks

Leveraging unmanned aerial vehicles (UAVs) as relays, the space-air-ground integrated Internet of Things (SAG-IoT) networks can provide wireless access services to connected devices with high data rate, flexibility, and wide coverage. However, besides bringing lots benefits, SAG-IoT systems also face many challenges due mobility, unreliable satellite links, limited resources. Especially, when multiple UAVs act relays for cross-tier communication transfer collected from ground network tier tier, how select an appropriate number gateways improve system spectral efficiency (SE) is important issue. To best our knowledge, it entirely new problem since most existing works utilize all relay nodes neglect spectrum allocation. Toward this end, we present paper discuss joint optimization gateway selection, bandwidth allocation, UAV deployment objective maximizing SE. A Dinkelbach method based iterative algorithm proposed solution by alternately adopting simulated annealing successively convex programming technologies. Experimental results show that designed schemes are able significantly SE make optimal decisions well deployment.