Downlink Throughput Maximization in Multi-UAVs Networks Using Discrete Optimization

摘要: Unmanned Aerial Vehicles (UAVs) require frequent transmissions to a ground station. In this paper, we consider Time Division Multiple Access (TDMA) and equip the station with Successive Interference Cancellation (SIC) radio, thereby, allowing it receive multiple simultaneously. A key problem is identify suitable TDMA transmission schedule that allows UAVs transmit successfully frequently Moreover, in order for SIC operate, there must be sufficient difference received power at However, practice, due mobility orientation of UAVs, experiences random channel gains. To end, adopt discrete optimization approach select yields highest expected number successes against We prove our able find optimal schedule. addition, propose novel heuristic generate subset schedules use large-scale UAV networks. Our results show both proposed approaches yield high throughput under various network conditions. The average successful generated by solutions greater than 70%. contrast, competing only has an success rate less 50%. Lastly, conducted trace-based simulation using data from testbed three static or mobile UAVs. where most two more successes.