A comprehensive survey on 5G-and-beyond networks with UAVs: Applications, emerging technologies, regulatory aspects, research trends and challenges

M Banafaa, Ö Pepeoğlu, I Shayea, A Alhammadi… - IEEE …, 2024 - ieeexplore.ieee.org
The rapid advancement of fifth-generation (5G)-and-beyond networks coupled with
unmanned aerial vehicles (UAVs) has opened up exciting possibilities for diverse …

Survey on Near-Space Information Networks: Channel Modeling, Networking, and Transmission Perspectives

X Cao, P Yang, X Su - arXiv preprint arXiv:2310.09025, 2023 - arxiv.org
Near-space information networks (NSIN) composed of high-altitude platforms (HAPs), high-
and low-altitude unmanned aerial vehicles (UAVs) are a new regime for providing quickly …

Reinforcement learning-based formation pinning and shape transformation for swarms

Z Dong, Q Wu, L Chen - Drones, 2023 - mdpi.com
Swarm models hold significant importance as they provide the collective behavior of self-
organized systems. Boids model is a fundamental framework for studying emergent …

Investigation of a HAP-UAV collaboration scheme for throughput maximization via joint user association and 3D UAV placement

H Goehar, AS Khwaja, AA Alnoman, A Anpalagan… - Sensors, 2023 - mdpi.com
In this paper, a collaboration scheme between a high-altitude platform (HAP) and several
unmanned aerial vehicles (UAVs) for wireless communication networks is investigated. The …

Closing the Performance and Management Gaps with Satellite Internet: Challenges, Approaches, and Future Directions

P Hu - arXiv preprint arXiv:2401.07842, 2024 - arxiv.org
Recent advancements in low-Earth orbit (LEO) satellites represented by large constellations
and advanced payloads provide great promises for enabling beyond 5G and 6G …

Multi-Constrained Geometric Guidance Law with a Data-Driven Method

X Yan, Y Tang, Y Xu, H Shi, J Zhu - Drones, 2023 - mdpi.com
A data-driven geometric guidance method is proposed for the multi-constrained guidance
problem of variable-velocity unmanned aerial vehicles (UAVs). Firstly, a two-phase flight …

Recursive Router Metrics Prediction Using Machine Learning based Node Modeling for Network Digital Replica

K Hattori, T Korikawa, C Takasaki, H Oowada - IEEE Access, 2023 - ieeexplore.ieee.org
Future network infrastructures need to safely and rapidly provide network services in
complex conditions that include many devices and multiple access lines, such as 5th …

On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey

A Bakambekova, N Kouzayha, T Al-Naffouri - arXiv preprint arXiv …, 2024 - arxiv.org
Space-Air-Ground Integrated Networks (SAGINs), which incorporate space and aerial
networks with terrestrial wireless systems, are vital enablers of the emerging sixth …

Intelligent Drone Swarms to Search for Victims in Post-Disaster Areas

MN Haddad, AC Santos, C Duhamel, AA Coco - Sensors, 2023 - mdpi.com
This study presents the Drone Swarms Routing Problem (DSRP), which consists of
identifying the maximum number of victims in post-disaster areas. The post-disaster area is …

Non-Terrestrial Networks Based on Non-Orthogonal Multiple Access Towards 6G

AM Ahmed, SA Majeed, SA Hasan - Diyala Journal of Engineering …, 2024 - mail.djes.info
Until now many regions around the world are still uncovered by cellular terrestrial mobile
system services due to the lack of economic feasibility as well as the difficulty of introducing …