Multiagent federated reinforcement learning for resource allocation in UAV-enabled internet of medical things networks
In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …
An exploratory bibliometric analysis of the literature on the age of information-aware unmanned aerial vehicles aided communication
Real-time status updates require more frequent updates with fresh information. This study
investigates the applications and research potential of unmanned aerial vehicles (UAV) for …
investigates the applications and research potential of unmanned aerial vehicles (UAV) for …
Joint dual-UAV trajectory and RIS design for ARIS-assisted aerial computing in IoT
Reconfigurable intelligent surface (RIS), as an emerging technology, has recently been
applied to expand the range of mobile-edge computing (MEC) networks and improve …
applied to expand the range of mobile-edge computing (MEC) networks and improve …
Integration of 6G signal processing, communication, and computing based on information timeliness-aware digital twin
6G has emerged as a feasible solution to enable intelligent electric vehicle (EV) energy
management. It can be further combined with digital twin (DT) to optimize resource …
management. It can be further combined with digital twin (DT) to optimize resource …
Timeliness of Information in 5G Non-Terrestrial Networks: A Survey
This paper explores the significance of the timeliness of information in the context of fifth
generation (5G) non-terrestrial networks (NTN). As 5G technology continues to evolve, its …
generation (5G) non-terrestrial networks (NTN). As 5G technology continues to evolve, its …
Asynchronous Federated Learning for Resource Allocation in Software Defined Internet of UAVs
KI Qureshi, L Wang, X **ong… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The use of unmanned aerial vehicles (UAVs) as flying base stations to support various tasks,
such as data collection, machine learning (ML) model training, and wireless communication …
such as data collection, machine learning (ML) model training, and wireless communication …
Federated Deep Reinforcement Learning for Joint AeBSs Deployment and Computation Offloading in Aerial Edge Computing Network
In the 6G aerial network, all aerial communication nodes have computing and storage
functions and can perform real-time wireless signal processing and resource management …
functions and can perform real-time wireless signal processing and resource management …
Multi-agent federated reinforcement learning for resource allocation in UAV-enabled internet of medical things networks
In the 5G/B5G network paradigms, intelligent medical devices known as the Internet of
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …
Medical Things (IoMT) have been used in the healthcare industry to monitor remote users' …
Enhancing Data Freshness in Air-Ground Collaborative Heterogeneous Networks through Contract Theory and Generative Diffusion-Based Mobile Edge Computing
Z Sun, G Chen - Sensors, 2023 - mdpi.com
Mobile edge computing is critical for improving the user experience of latency-sensitive and
freshness-based applications. This paper provides insights into the potential of non …
freshness-based applications. This paper provides insights into the potential of non …
Age–energy‐aware trajectory planning for UAV‐assisted data collection in Internet of Things
Unmanned aerial vehicles (UAVs) are employed as mobile relay nodes to enable timely
remote monitoring by collecting information from monitoring devices and transferring the …
remote monitoring by collecting information from monitoring devices and transferring the …