Federated learning for internet of things: Recent advances, taxonomy, and open challenges
The Internet of Things (IoT) will be ripe for the deployment of novel machine learning
algorithm for both network and application management. However, given the presence of …
algorithm for both network and application management. However, given the presence of …
A comprehensive overview on 5G-and-beyond networks with UAVs: From communications to sensing and intelligence
Due to the advancements in cellular technologies and the dense deployment of cellular
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …
infrastructure, integrating unmanned aerial vehicles (UAVs) into the fifth-generation (5G) and …
Multi-agent deep reinforcement learning-based trajectory planning for multi-UAV assisted mobile edge computing
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is
proposed, where several UAVs having different trajectories fly over the target area and …
proposed, where several UAVs having different trajectories fly over the target area and …
Space-air-ground integrated network: A survey
Space-air-ground integrated network (SAGIN), as an integration of satellite systems, aerial
networks, and terrestrial communications, has been becoming an emerging architecture and …
networks, and terrestrial communications, has been becoming an emerging architecture and …
Energy efficient resource allocation in UAV-enabled mobile edge computing networks
In this paper, we consider the sum power minimization problem via jointly optimizing user
association, power control, computation capacity allocation, and location planning in a …
association, power control, computation capacity allocation, and location planning in a …
Joint deployment and task scheduling optimization for large-scale mobile users in multi-UAV-enabled mobile edge computing
This article establishes a new multiunmanned aerial vehicle (multi-UAV)-enabled mobile
edge computing (MEC) system, where a number of unmanned aerial vehicles (UAVs) are …
edge computing (MEC) system, where a number of unmanned aerial vehicles (UAVs) are …
Routing in flying ad hoc networks: Survey, constraints, and future challenge perspectives
Owing to the explosive expansion of wireless communication and networking technologies,
cost-effective unmanned aerial vehicles (UAVs) have recently emerged and soon they will …
cost-effective unmanned aerial vehicles (UAVs) have recently emerged and soon they will …
Energy efficient UAV communication with energy harvesting
This paper investigates an unmanned aerial vehicle (UAV)-enabled wireless communication
system with energy harvesting, where the UAV transfers energy to the users in half duplex or …
system with energy harvesting, where the UAV transfers energy to the users in half duplex or …
Deep reinforcement learning based dynamic trajectory control for UAV-assisted mobile edge computing
In this paper, we consider a platform of flying mobile edge computing (F-MEC), where
unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and …
unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and …
DSF-NOMA: UAV-assisted emergency communication technology in a heterogeneous Internet of Things
The Internet of Things (IoT) has significant importance in the beyond fifth generation (B5G)
communication systems. However, the IoT is vulnerable to disasters because the network is …
communication systems. However, the IoT is vulnerable to disasters because the network is …