[HTML][HTML] Machine Learning-Based Methods for Enhancement of UAV-NOMA and D2D Cooperative Networks
The cooperative aerial and device-to-device (D2D) networks employing non-orthogonal
multiple access (NOMA) are expected to play an essential role in next-generation wireless …
multiple access (NOMA) are expected to play an essential role in next-generation wireless …
Deep Reinforcement Learning Based Energy Consumption Minimization for Intelligent Reflecting Surfaces Assisted D2D Users Underlaying UAV Network
Device-to-device communication (D2D-C) is a leading-edge technique in 5G and
forthcoming 6G networks due to its benefits for enhanced spectrum efficiency and energy …
forthcoming 6G networks due to its benefits for enhanced spectrum efficiency and energy …
[HTML][HTML] Intelligent Resource Allocation Using an Artificial Ecosystem Optimizer with Deep Learning on UAV Networks
An Unmanned Aerial Vehicle (UAV)-based cellular network over a millimeter wave
(mmWave) frequency band addresses the necessities of flexible coverage and high data …
(mmWave) frequency band addresses the necessities of flexible coverage and high data …
Deep reinforcement learning in NOMA-assisted UAV networks for path selection and resource offloading
X Yang, D Qin, J Liu, Y Li, Y Zhu, L Ma - Ad Hoc Networks, 2023 - Elsevier
This paper constructs a NOMA-based UAV-assisted Cellular Offloading (UACO) framework
and designs a UAV path selection and resource offloading algorithm (UPRA) based on deep …
and designs a UAV path selection and resource offloading algorithm (UPRA) based on deep …
[PDF][PDF] Unmanned Aerial Vehicle Multi-Access Edge Computing as Security Enabler for Next-Gen 5G Security Frameworks
JO Córdoba, AM Zarca, A Skármeta - Intell. Autom. Soft Comput, 2023 - cdn.techscience.cn
5G/Beyond 5G (B5G) networks provide connectivity to many heterogeneous devices, raising
significant security and operational issues and making traditional infrastructure management …
significant security and operational issues and making traditional infrastructure management …
TSxtend: A Tool for Batch Analysis of Temporal Sensor Data
R Morcillo-Jimenez, K Gutiérrez-Batista… - Energies, 2023 - mdpi.com
Pre-processing and analysis of sensor data present several challenges due to their
increasingly complex structure and lack of consistency. In this paper, we present TSxtend, a …
increasingly complex structure and lack of consistency. In this paper, we present TSxtend, a …
LSTDA: Link Stability and Transmission Delay Aware Routing Mechanism for Flying Ad-Hoc Network (FANET)
The paper presents a new protocol called Link Stability and Transmission Delay Aware
(LSTDA) for Flying Ad-hoc Network (FANET) with a focus on network corridors (NC). FANET …
(LSTDA) for Flying Ad-hoc Network (FANET) with a focus on network corridors (NC). FANET …
Machine Learning-Based Air-to-Ground Channel Model Selection Method for UAV Communications Using Digital Surface Model Data
YE Kang, YH Jung - Sensors, 2022 - mdpi.com
This paper proposes an automatic air-to-ground (A2G) channel model selection method
based on machine learning (ML) using digital surface model (DSM) terrain data. In order to …
based on machine learning (ML) using digital surface model (DSM) terrain data. In order to …
Optimization of Resource Allocation in Unmanned Aerial Vehicles Based on Swarm Intelligence Algorithms.
S Feng, Y Chen, M Huang… - Computers, Materials & …, 2023 - search.ebscohost.com
Due to their adaptability, Unmanned Aerial Vehicles (UAVs) play an essential role in the
Internet of Things (IoT). Using wireless power transfer (WPT) techniques, an UAV can be …
Internet of Things (IoT). Using wireless power transfer (WPT) techniques, an UAV can be …
[PDF][PDF] A Tool for Batch Analysis of Temporal Sensor Data
R Morcillo-Jimenez, K Gutiérrez-Batista… - Parameters, 2023 - academia.edu
Pre-processing and analysis of sensor data present several challenges due to their
increasingly complex structure and lack of consistency. In this paper, we present TSxtend, a …
increasingly complex structure and lack of consistency. In this paper, we present TSxtend, a …