Paper Info
Title
Energy-Aware 3D Unmanned Aerial Vehicle Deployment for Network Throughput Optimization
Abstract
Introducing mobile small cells to next generation cellular networks is nowadays a pervasive and cost-effective way to fulfill the ever-increasing mobile broadband traffic. Being agile and resilient, unmanned aerial vehicles (UAVs) mounting small cells are deemed emerging platforms for the provision of wireless services. As the residual battery capacity available to UAVs determines the lifetime of an airborne network, it is essential to account for the energy expenditure on various flying actions in a flight plan. The focus of this paper is therefore on studying the 3D deployment problem for a swarm of UAVs, with the goal of maximizing the total amount of data transmitted by UAVs. In particular, we address an interesting trade-off among flight altitude, energy expense and travel time. We formulate the problem as a non-convex non-linear optimization problem and propose an energy-aware 3D deployment algorithm to resolve it with the aid of Lagrangian dual relaxation, interior-point and subgradient projection methods. Afterwards, we prove the optimality of a special case derived from the convexification transformation. We then conduct a series of simulations to evaluate the performance of our proposed algorithm. Simulation results manifest that our proposed algorithm can benefit from the proper treatment of the trade-off.
Year
DOI
Venue
2020
10.1109/TWC.2019.2946822
IEEE Transactions on Wireless Communications
Keywords
Field
DocType
Three-dimensional displays,Wireless communication,Unmanned aerial vehicles,Throughput,Optimization,Cellular networks,Batteries
Software deployment,Computer network,Throughput,Mathematics
Journal
Volume
Issue
ISSN
19
1
1536-1276
Citations 
PageRank 
References 
5
0.40
0
Authors
3
Name
Order
Citations
PageRank
Shih-Fan Chou1264.39
Ai-Chun Pang262166.26
Ya-Ju Yu3707.70