Multiple drone-cell deployment analyses and optimization in drone assisted radio access networks

W Shi, J Li, W Xu, H Zhou, N Zhang, S Zhang… - IEEE …, 2018 - ieeexplore.ieee.org
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 …

On-board deep Q-network for UAV-assisted online power transfer and data collection

K Li, W Ni, E Tovar, A Jamalipour - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) with Microwave Power Transfer (MPT) capability provide
a practical means to deploy a large number of wireless powered sensing devices into areas …

Toward robust and intelligent drone swarm: Challenges and future directions

W Chen, J Liu, H Guo, N Kato - IEEE Network, 2020 - ieeexplore.ieee.org
The rapid development of Space-Air-Ground integrated network, IoT, and swarm-based
robotic systems has promoted the transformation of traditional single drone toward drone …

A survey of game theory in unmanned aerial vehicles communications

ME Mkiramweni, C Yang, J Li… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) can be deployed as wireless relays or aerial base
stations to improve network connectivity and coverage in cellular networks. UAVs can also …

Joint flight cruise control and data collection in UAV-aided Internet of Things: An onboard deep reinforcement learning approach

K Li, W Ni, E Tovar, M Guizani - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Employing unmanned aerial vehicles (UAVs) as aerial data collectors in Internet-of-Things
(IoT) networks is a promising technology for large-scale environment sensing. A key …

UAV-assisted dynamic coverage in a heterogeneous cellular system

Y Li, L Cai - IEEE Network, 2017 - ieeexplore.ieee.org
The growing popularity of mobile Internet and massive MTC with special traffic
characteristics and locations have imposed huge challenges to current cellular networks …

Multi-drone 3-D trajectory planning and scheduling in drone-assisted radio access networks

W Shi, J Li, N Cheng, F Lyu, S Zhang… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
A drone base station (DBS) is a promising technique to extend wireless connections for
uncovered users of terrestrial radio access networks (RANs). To improve user fairness and …

Analysis and optimization of multiple unmanned aerial vehicle-assisted communications in post-disaster areas

S Zhang, J Liu - IEEE Transactions on Vehicular Technology, 2018 - ieeexplore.ieee.org
As a vital component of disaster response and relief, a wireless network needs to be rapidly
deployed after a disaster strikes. Due to the advantages of large area coverage, low capital …

A communication strategy of proactive nodes based on loop theorem in wireless sensor networks

L Wang, C Zhang, Q Chen, Z Liu, S Liu… - … on intelligent control …, 2018 - ieeexplore.ieee.org
In wireless sensor networks that consist of a large number of low-power, short-lived,
unreliable sensors, one of the main design challenges is to maintain sufficient sensing …

[HTML][HTML] A survey on applications of reinforcement learning in flying ad-hoc networks

S Rezwan, W Choi - Electronics, 2021 - mdpi.com
Flying ad-hoc networks (FANET) are one of the most important branches of wireless ad-hoc
networks, consisting of multiple unmanned air vehicles (UAVs) performing assigned tasks …