Multi-agent Federated Reinforcement Learning for Resource Allocation in UAV-enabled Internet of Medical Things Networks

M Abegaz, A Erbad, H Nahom, A Albaseer… - Authorea …, 2023 - techrxiv.org
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' …

Multi-agent federated reinforcement learning for resource allocation in uav-enabled internet of medical things networks

AM Seid, A Erbad, HN Abishu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
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' …

FDRL Approach for Association and Resource Allocation in Multi-UAV Air-To-Ground IoMT Network

H Nahom, A Albaseer, M Abdallah, M Guizani… - Authorea …, 2023 - techrxiv.org
In 6G networks, unmanned aerial vehicles (UAVs) can serve as aerial flying base stations
(AFBS) with aerial mobile edge computing (AMEC) server capabilities. AFBS is an …

Fdrl approach for association and resource allocation in multi-uav air-to-ground iomt network

A Mohammed, HN Abishu, A Albaseer… - … 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
In 6G networks, unmanned aerial vehicles (UAVs) can serve as aerial flying base stations
(AFBS) with aerial mobile edge computing (AMEC) server capabilities. AFBS is an …

Collaborative computation offloading and resource allocation in multi-UAV-assisted IoT networks: A deep reinforcement learning approach

AM Seid, GO Boateng, S Anokye… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) wireless networks, Edge-Internet-of-Things (EIoT) devices are
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …

Asynchronous Federated Learning for Resource Allocation in Software Defined Internet of UAVs

KI Qureshi, L Wang, X Xiong… - 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 …

Computation Offloading and Trajectory Planning of Multi-UAV-Enabled MEC: A Knowledge-Assisted Multiagent Reinforcement Learning Approach

X Li, Y Qin, J Huo, W Huangfu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Compared with centralized cloud computing, mobile edge computing (MEC) enables
Internet of Things (IoT) devices to offload computation-intensive tasks to the edge of the …

[HTML][HTML] Distributed offloading for multi-uav swarms in mec-assisted 5G heterogeneous networks

M Ma, Z Wang - Drones, 2023 - mdpi.com
Mobile edge computing (MEC) is a novel paradigm that offers numerous possibilities for
Internet of Things (IoT) applications. In typical use cases, unmanned aerial vehicles (UAVs) …

Deep reinforcement learning-based resource allocation for UAV-enabled federated edge learning

T Liu, T Zhang, J Loo, Y Wang - Journal of Communications …, 2023 - ieeexplore.ieee.org
The resource allocation of the federated learning (FL) for unmanned aerial vehicle (UAV)
swarm systems are investigated. The UAV swarms based on FL realize the artificial …

Hierarchical game-theoretic and reinforcement learning framework for computational offloading in UAV-enabled mobile edge computing networks with multiple …

A Asheralieva, D Niyato - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
We present a novel game-theoretic (GT) and reinforcement learning (RL) framework for
computational offloading in the mobile edge computing (MEC) network operated by multiple …