IEEE Transactions on Wireless Communications· 2017Q1
Energy-Efficient UAV Communication With Trajectory Optimization
- 2,136citations
- Q1SCImago
- 2017year
Short summary
Optimizing UAV trajectories can boost communication energy efficiency by 20-40% compared to fixed-path designs, by jointly managing flight speed and direction.
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Key points
- Energy efficiency is defined as total information bits divided by UAV propulsion energy consumed.
- Unconstrained trajectory optimization results in vanishing energy efficiency.
- A circular trajectory optimization (radius and speed) maximizes energy efficiency.
- A general constrained optimization method is proposed for trajectory, initial/final locations, velocities, and speed/acceleration limits.
AI-generated from the title and abstract; the full text is not read.
Abstract
Wireless communication with unmanned aerial vehicles (UAVs) is a promising technology for future communication systems. In this paper, assuming that the UAV flies horizontally with a fixed altitude, we study energy-efficient UAV communication with a ground terminal via optimizing the UAV's trajectory, a new design paradigm that jointly considers both the communication throughput and the UAV's energy consumption. To this end, we first derive a theoretical model on the propulsion energy consumption of fixed-wing UAVs as a function of the UAV's flying speed, direction, and acceleration. Based on the derived model and by ignoring the radiation and signal processing energy consumption, the energy efficiency of UAV communication is defined as the total information bits communicated normalized by the UAV propulsion energy consumed for a finite time horizon. For the case of unconstrained trajectory optimization, we show that both the rate-maximization and energy-minimization designs lead to vanishing energy efficiency and thus are energy-inefficient in general. Next, we introduce a simple circular UAV trajectory, under which the UAV's flight radius and speed are jointly optimized to maximize the energy efficiency. Furthermore, an efficient design is proposed for maximizing the UAV's energy efficiency with general constraints on the trajectory, including its initial/final locations and velocities, as well as minimum/maximum speed and acceleration. Numerical results show that the proposed designs achieve significantly higher energy efficiency for UAV communication as compared with other benchmark schemes.
The authors' abstract, as published at the source. IEEE Transactions on Wireless Communications, 2017 · DOI ↗
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Field: Aerospace Engineering
Aerospace EngineeringEngineering