Radio Map-Based Trajectory Design for UAV-Assisted Wireless Energy Transmission Communication Network by Deep Reinforcement Learning

C Chen, F Wu - Electronics, 2023 - mdpi.com
In this paper, we consider a wireless energy-carrying communication network of a UAV. In
this communication network, the internet of things (IoT) devices maintain their work via the …

Dual-Driven Learning-Based Multiple-Input Multiple-Output Signal Detection for Unmanned Aerial Vehicle Air-to-Ground Communications

H Li, Y He, S Zheng, F Zhou, H Yang - Drones, 2024 - mdpi.com
Unmanned aerial vehicle (UAV) air-to-ground (AG) communication plays a critical role in the
evolving space–air–ground integrated network of the upcoming sixth-generation cellular …

Energy-Efficient Resource Allocation in Aerial Base Stations

WRS Silva, RH Torres, DL Cardoso - Electronics, 2023 - mdpi.com
Drones, or unmanned aerial vehicles, can be used as air base stations (UAV-BSs) for
telecommunications. They prove useful in situations where the network is overloaded or …

Joint Optimization of Resource Utilization, Latency and UAV Trajectory in the Power Information Acquisition System

Y Xiao, X Jin, B Huang, J Feng, Z Kong - Electronics, 2023 - mdpi.com
In order to reduce the peak–valley difference of the power grid load, reasonably arrange
users' electricity consumption time and realize the intelligent management of the power grid …

Joint Optimization of Trajectory and Discrete Reflection Coefficients for UAV-Aided Backscatter Communication System with NOMA

C Du, J Guo, H Yu, L Cui, Z Fei - Electronics, 2023 - mdpi.com
Backscatter communication is a promising technology for the Internet of Things (IoT) systems
with low-energy consumption, in which the data transmission of the backscatter devices …

Sum Rate Optimization Scheme of UAV-Assisted NOMA under Hardware Impairments

X Wan, X Yang, Z Wang, Z Fan, B Duo - Applied Sciences, 2023 - mdpi.com
In the unmanned aerial vehicle (UAV) assisted non-orthogonal multiple access (NOMA)
networks, the practical hardware impairments (HIs) and resource allocation is still a …

Two-Path Conventional Neural Network Based Signal-to-Noise Ratio Evaluation for UAV Communication Link

Y Xiong, Y Yang, X Jing - Applied Sciences, 2023 - mdpi.com
With the development of information technology, unmanned aerial vehicles (UAVs) have
become an indispensable and important part of daily life and they have brought great …

Security Resource Scheduling Algorithm for Intelligent UAV Communication Network Based on Optimized Subgraph Isomorphism and Link Partition

Y Han, J Yu, P Zuo, Z Wei, X Jin, K Dou, C Guo, H Xu - Electronics, 2023 - mdpi.com
The resource scheduling problem of UAV communication networks has always been a hot
research issue in the current environment. However, most of the current research focuses on …

Maximizing Signal Quality for One Dimensional Cells In Mobile Communications

AH Sallomi, SK Hasan… - Wasit Journal of Computer …, 2023 - wjcm.uowasit.edu.iq
In this work, the cellular network performance based on other cell interference predictions is
presented. It presents a mathematical model of co-channel interference analysis in …

Energy-Efficient Resource Allocation in Aerial Base Stations.

RH Torres, DL Cardoso - Electronics (2079-9292), 2023 - search.ebscohost.com
Drones, or unmanned aerial vehicles, can be used as air base stations (UAV-BSs) for
telecommunications. They prove useful in situations where the network is overloaded or …