Group-based association for UAV networks
This paper studies the group strategies of multi-UAVs for network association. The system consists of many small UAVs and two master UAVs. Small UAVs connect to the master UAVs according to their location. They make choices to select different group strategies and the leader of the group. In the group formed by the small UAVs, some small UAVs connect to the master UAVs directly and the others connect to the master UAVs through the leaders they select. In order to achieve two levels of spectrum sharing and transmission power optimization, a group-based algorithm is proposed to optimize the throughput and the cost of the transmission power. The simulation shows that this method is much better than the typically method which only considers spectrum sharing or power optimization. The group-based algorithm improves the throughput of the entire UAVs group and reduces the energy consumption.