Federated learning meets intelligence reflection surface in drones for enabling 6G networks: Challenges and opportunities
The combination of drones and Intelligent Reflecting Surfaces (IRS) have emerged as
potential technologies for improving the performance of six Generation (6G) communication …
potential technologies for improving the performance of six Generation (6G) communication …
Distributed machine learning for uav swarms: Computing, sensing, and semantics
The unmanned aerial vehicle (UAV) swarms have shown great potential to serve next-
generation communication networks with their extraordinary flexibility, affordability, and the …
generation communication networks with their extraordinary flexibility, affordability, and the …
Air-ground heterogeneous networks for 5G and beyond via integrating high and low altitude platforms
UAVs are expected to be an important complementary component for 5G (and beyond)
communication systems to achieve the goal of global access to the Internet for all. To fully …
communication systems to achieve the goal of global access to the Internet for all. To fully …
A survey on UAV-enabled edge computing: Resource management perspective
Edge computing facilitates low-latency services at the network's edge by distributing
computation, communication, and storage resources within the geographic proximity of …
computation, communication, and storage resources within the geographic proximity of …
AI-enabled UAV communications: Challenges and future directions
Recently, unmanned aerial vehicles (UAVs) communications gained significant
concentration as a talented technology for future wireless communications using its …
concentration as a talented technology for future wireless communications using its …
Enabling resilient access equality for 6G LEO satellite swarm networks
Low earth orbit (LEO) mega-constellations, integrating government space systems and
commercial practices, become enabling technologies for the sixth generation (6G) networks …
commercial practices, become enabling technologies for the sixth generation (6G) networks …
Satellite MEC with federated learning: Architectures, technologies and challenges
Satellite communication has made great progress in recent years since it is characterized by
wide information coverage and can support diverse types of users, which beneficially fulfills …
wide information coverage and can support diverse types of users, which beneficially fulfills …
Federated learning for connected and automated vehicles: A survey of existing approaches and challenges
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …
(CAV), including perception, planning, and control. However, its reliance on vehicular data …
Software-defined UAV networks for 6G systems: Requirements, opportunities, emerging techniques, challenges, and research directions
MDABS Abir, MZ Chowdhury… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
The ever-increasing demand for wireless communication has driven the development of
innovative technologies to address the issues that conventional communication networks …
innovative technologies to address the issues that conventional communication networks …
Elastic collaborative edge intelligence for UAV swarm: Architecture, challenges, and opportunities
Unmanned aerial vehicles (UAVs) have been widely used in military and civilian fields by
carrying out intelligent applications with deep learning technologies, such as battlefield …
carrying out intelligent applications with deep learning technologies, such as battlefield …