IEEE Transactions on Wireless Communications· 2019Q1
Energy Minimization for Wireless Communication With Rotary-Wing UAV
- 2,049citations
- Q1SCImago
- 2019year
Short summary
A new method jointly optimizes UAV trajectory, communication time, and mission duration to minimize energy consumption for UAV-enabled wireless communication, outperforming benchmark schemes.
AI-generated from the title and abstract; the full text is not read.
Key points
- Developed a closed-form propulsion power consumption model for rotary-wing UAVs.
- Formulated an energy minimization problem optimizing UAV trajectory, communication time, and mission duration.
- Proposed a path discretization method and successive convex approximation for a general case where UAV communicates while flying.
- Numerical results demonstrate significant performance improvement over benchmark schemes.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. IEEE Transactions on Wireless Communications, 2019 · DOI ↗
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Field: Aerospace Engineering
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