Optimal Trajectory of Full-duplex UAV Relaying over Hybrid Probability Channels
A fixed-wing UAV being the full-duplex moving relay,and a hybrid probability channel being the source to send data to the destination,through the flight optimal trajectory design.On the basis of ensuring the total data amount of source-destination communication,the energy consumption of the system is minimized.Two optimization problems of runway shape and mixed trajectory are established,which are non-convex and are difficult to get the closed-form solution.The hybrid probability channels gains are replaced by the average channel gains,and the lower bounds of the received data at the UA V and the destination are calculated by Taylor's first-order expansion.The constraints are simplified,and the approximate problems are obtained.Solved by the genetic algorithm and the internal point method,the running track and mixed trajectory of UA V are designed.Simulation results show that the running track trajectory design can achieve better energy-saving effect in any cases.For the case of large data delivery and long distance between the source and destination,the mixed trajectory achieves better energy-saving effect than the straight-line and circular trajectories.The complexity of the genetic algorithm is less than the internal point method,implying that the genetic algorithm is more suitable for the case of high real-time requirement.
UAV communicationhybrid probability channeltrajectory designfull-duplexenergy minimization
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