paper-with-me

홈 › Papers

Power Efficient Trajectory Optimization for the Cellular-Connected Aerial Vehicles

2019-06-22

Aerial vehicles have recently attracted significant attention in a variety of commercial and civilian applications due to their high mobility, flexible deployment and cost-effectiveness. To leverage these promising features, the aerial users have to satisfy two critical requirements: First, they have to maintain a reliable communication link to the ground base stations (GBSs) throughout their flights, to support command and control data flows. Second, the aerial vehicles have to minimize their propulsion power consumption to remain functional until the end of their mission. In this paper, we study the trajectory optimization problem for an aerial user flying over an area including a set of GBSs. The objective of this problem is to find the trajectory of the aerial user so that the total propulsion-related power consumption of the aerial user is minimized while a cellular-connectivity constraint is satisfied. This problem is a non-convex mixed integer non-linear problem and hence, it is challenging to find the solution. To deal with, first, the problem is relaxed and reformulated to a more mathematically tractable form. Then, using successive convex approximation (SCA) technique, an iterative algorithm is proposed to convert the problem into a sequence of convex problems which can be solved efficiently.

📄 PDF Abstract BibTeX arXiv:1906.09520

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Coverage Analysis and Trajectory Optimization for Aerial Users with Dedicated Cellular Infrastructure

2023-04-06 · Yujie Qin, Mustafa A. Kishk, Mohamed-Slim Alouini

In this paper, we consider a novel cellular network for aerial users, which is composed of dedicated base stations (BSs), whose antennas are directed towards aerial users, and traditional terrestrial BSs (TBSs). Besides,…

Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles

2020-11-27 · Arash Hooshmand

Unmanned Aerial Vehicles (UAVs) have attracted considerable research interest recently. Especially when it comes to the realm of Internet of Things, the UAVs with Internet connectivity are one of the main demands. Furthe…

Q-LearningReinforcement Learning (RL)

Physics-Based Trajectory Design for Cellular-Connected UAV in Rainy Environments Based on Deep Reinforcement Learning

2023-08-31 · Hao Qin, Zhaozhou Wu, Xingqi Zhang

Cellular-connected unmanned aerial vehicles (UAVs) have gained increasing attention due to their potential to enhance conventional UAV capabilities by leveraging existing cellular infrastructure for reliable communicatio…

Deep Reinforcement LearningQ-LearningWeather Forecasting

Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement Learning

2020-03-17 · Yong Zeng, Xiaoli Xu, Shi Jin, Rui Zhang

Cellular-connected unmanned aerial vehicle (UAV) is a promising technology to unlock the full potential of UAVs in the future. However, how to achieve ubiquitous three-dimensional (3D) communication coverage for the UAVs…

Deep Reinforcement Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)

Open-Source Software Radio Platform for Research on Cellular Networked UAVs -- It Works!

2021-12-11 · Aly Sabri Abdalla, Andrew Yingst, Keith Powell, Antoni Gelonch-Bosch 외

Cellular network-connected unmanned aerial vehicles (UAVs) experience different radio propagation conditions than radio nodes on the ground. Therefore, it has become critical to investigate the performance of aerial radi…