Energy Minimization for Wireless Communication With Rotary-Wing UAV

By Yong Zeng, Jie Xu, Rui Zhang. IEEE Transactions on Wireless Communications, 2018

1,849 citations recorded by the source corpus.

This paper studies unmanned aerial vehicle (UAV)-enabled wireless communication, where a rotary-wing UAV is dispatched to communicate with multiple ground nodes (GNs). We aim to minimize the total UAV energy consumption, including both propulsion energy and communication related energy, while satisfying the communication throughput requirement of each GN. To this end, we first derive a closed-form propulsion power consumption model for rotary-wing UAVs, and then formulate the energy minimization problem by jointly optimizing the UAV trajectory and communication time allocation among GNs, as well as the total mission completion time. The problem is difficult to be optimally solved, as it is non-convex and involves infinitely many variables over time. To tackle this problem, we first consider the simple fly-hover-communicate design, where the UAV successively visits a set of hovering locations and communicates with one corresponding GN while hovering at each location. For this design, we propose an efficient algorithm to optimize the hovering locations and durations, as well as the flying trajectory connecting these hovering locations, by leveraging the travelling salesman problem with neighborhood and convex optimization techniques. Next, we consider the general case, where the UAV also communicates while flying. We propose a new path discretization method to transform the original problem into a discretized equivalent with a finite number of optimization variables, for which we obtain a high-quality suboptimal solution by applying the successive convex approximation technique. The numerical results show that the proposed designs significantly outperform the benchmark schemes.

Subfields: Aerospace Engineering, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/38019e745cf8d7dc0274882f5d8e485acdf8f001

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

In Computer Networks and Communications

Citations in the corpus

Optimal 3D-Trajectory Design and Resource Allocation for Solar-Powered UAV Communication Systems (2018, methodology): “In each time slot, we assume that the UAV is in a quasi-static equilibrium condition [23], [29].”
Joint Maneuver and Beamforming Design for UAV-Enabled Integrated Sensing and Communication (2021, background): “, [30], [33], [34]) for gaining essential insights on the placement/traejctory design.”
A Tutorial on UAVs for Wireless Networks: Applications, Challenges, and Open Problems (2018, background): “during a flight time T is given by [169]:”
Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach (2020, methodology): “The key parameters we use are with reference to studies involving UAV and FL optimization [49], [51].”
A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking (2021, background): “Thus, the energy efficiency is an important performance metric to be evaluated and optimized, especially for high-mobility UAVs [109], [179].”
Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT (2019, methodology): “(18c) Based on [31], the power consumption of flight for rotarywing UAV is modeled as”
Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective (2018, methodology): “, in the order of kilowatt versus watt) [23], [24].”