Unmanned Aerial Vehicle-Aided Communications: Joint Transmit Power and Trajectory Optimization

This letter investigates the transmit power and trajectory optimization problem for unmanned aerial vehicle (UAV)-aided networks. Different from majority of the existing studies with fixed communication infrastructure, a dynamic scenario is considered where a flying UAV provides wireless services for multiple ground nodes simultaneously. To fully exploit the controllable channel variations provided by the UAV’s mobility, the UAV’s transmit power and trajectory are jointly optimized to maximize the minimum average throughput within a given time length. For the formulated non-convex optimization with power budget and trajectory constraints, this letter presents an efficient joint transmit power and trajectory optimization algorithm. Simulation results validate the effectiveness of the proposed algorithm and reveal that the optimized transmit power shows a water-filling characteristic in spatial domain.

[1]  Le-Nam Tran,et al.  Distributed Solutions for Energy Efficiency Fairness in Multicell MISO Downlink , 2017, IEEE Transactions on Wireless Communications.

[2]  Jin Chen,et al.  Power Control in UAV-Supported Ultra Dense Networks: Communications, Caching, and Energy Transfer , 2017, IEEE Communications Magazine.

[3]  Rui Zhang,et al.  Energy-Efficient UAV Communication With Trajectory Optimization , 2016, IEEE Transactions on Wireless Communications.

[4]  Walid Saad,et al.  Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs , 2015, IEEE Transactions on Wireless Communications.

[5]  Rui Zhang,et al.  Throughput Maximization for UAV-Enabled Mobile Relaying Systems , 2016, IEEE Transactions on Communications.

[6]  Walid Saad,et al.  Wireless Communication Using Unmanned Aerial Vehicles (UAVs): Optimal Transport Theory for Hover Time Optimization , 2017, IEEE Transactions on Wireless Communications.

[7]  Rui Zhang,et al.  Placement Optimization of UAV-Mounted Mobile Base Stations , 2016, IEEE Communications Letters.

[8]  Zhi-Hua Zhou,et al.  Fast Power Allocation Algorithm for Cognitive Radio Networks , 2011, IEEE Communications Letters.

[9]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[10]  Walid Saad,et al.  Efficient Deployment of Multiple Unmanned Aerial Vehicles for Optimal Wireless Coverage , 2016, IEEE Communications Letters.

[11]  Rui Zhang,et al.  Wireless communications with unmanned aerial vehicles: opportunities and challenges , 2016, IEEE Communications Magazine.

[12]  Rui Zhang,et al.  Cyclical Multiple Access in UAV-Aided Communications: A Throughput-Delay Tradeoff , 2016, IEEE Wireless Communications Letters.