Paper Info
Title
Multiple Drone-Cell Deployment Analyses and Optimization in Drone Assisted Radio Access Networks.
Abstract
In this paper, we propose a drone assisted radio access networks architecture in which drone-cells are leveraged to relay data between base stations and users. Based on the state-of-the-art drone-to-user and drone-to-base station (D2B) channel models, we first analyze the user coverage and the D2B backhaul connection features of drone-cells. We then formulate the 3-D drone-cell deployment problem with the objective of maximizing the user coverage while maintaining D2B link qualities, for a given number of drone cells being deployed. To solve the problem, the particle swarm optimization (PSO) algorithm is leveraged for its low computational cost and unique features suiting the spatial deployment of drone-cells. We propose a per-drone iterated PSO (DI-PSO) algorithm that optimizes drone-cell deployments for different drone-cell numbers, and prevents the drawbacks of the pure PSO-based algorithm derived from related works. Simulations show that the DI-PSO algorithm can achieve higher coverage ratio with less complexity comparing to the pure PSO-based algorithm.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2803788
IEEE ACCESS
Keywords
Field
DocType
Drone,drone communication,radio access networks,particle swarm optimization,D2U,D2B
Particle swarm optimization,Base station,Radio access,Software deployment,Algorithm design,Backhaul (telecommunications),Computer science,Drone,Relay,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
4
PageRank 
References 
Authors
0.41
0
7
Name
Order
Citations
PageRank
Weisen Shi124216.00
Junling Li2878.60
Wenchao Xu316010.54
Haibo Zhou422522.71
Ning Zhang529917.82
Shan Zhang636525.66
Xuemin Shen715389928.67