Aerospace integrated networks innovation for empowering 6G: A survey and future challenges
The ever-increasing demand for ubiquitous and differentiated services at anytime and
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …
anywhere emphasizes the necessity of aerospace integrated networks (AINs) which consist …
Accessing from the sky: A tutorial on UAV communications for 5G and beyond
Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to
bring fertile business opportunities in the next decade. Among various enabling …
bring fertile business opportunities in the next decade. Among various enabling …
Deep reinforcement learning for delay-oriented IoT task scheduling in SAGIN
In this article, we investigate a computing task scheduling problem in space-air-ground
integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the …
integrated network (SAGIN) for delay-oriented Internet of Things (IoT) services. In the …
Unmanned aerial vehicle for internet of everything: Opportunities and challenges
The recent advances in information and communication technology (ICT) have further
extended Internet of Things (IoT) from the sole “things” aspect to the omnipotent role of …
extended Internet of Things (IoT) from the sole “things” aspect to the omnipotent role of …
Joint communication and trajectory optimization for multi-UAV enabled mobile internet of vehicles
Due to its flexibility and high maneuverability, Unmanned Aerial Vehicle (UAV) is able to
quickly provide wireless connections to the ground vehicles in mobile environment. In this …
quickly provide wireless connections to the ground vehicles in mobile environment. In this …
An adaptive UAV deployment scheme for emergency networking
In the areas after natural disaster strikes, the ground communication network can be failed,
due to the damage of the communication infrastructure. However, during or after the natural …
due to the damage of the communication infrastructure. However, during or after the natural …
Resource allocation and trajectory design in UAV-aided cellular networks based on multiagent reinforcement learning
In this article, we focus on a downlink cellular network, where multiple unmanned aerial
vehicles (UAVs) serve as aerial base stations for ground users through frequency-division …
vehicles (UAVs) serve as aerial base stations for ground users through frequency-division …
Joint deployment optimization and flight trajectory planning for UAV assisted IoT data collection: A bilevel optimization approach
This work investigates an unmanned aerial vehicle (UAV) assisted IoT system, where a UAV
flies to each foothold to collect data from IoT devices, and then return to its start point. For …
flies to each foothold to collect data from IoT devices, and then return to its start point. For …
A NOMA-enabled framework for relay deployment and network optimization in double-layer airborne access VANETs
A non-orthogonal multiple access (NOMA)-enabled double-layer airborne access vehicular
ad hoc networks (DLAA-VANETs) architecture is designed in this paper, which consists of a …
ad hoc networks (DLAA-VANETs) architecture is designed in this paper, which consists of a …
Joint resource allocation and UAV trajectory optimization for space–air–ground Internet of remote things networks
Given the limited transmission power of smart devices in Internet of Remote Things (IoRT),
unmanned aerial vehicle (UAV) aided space-air-ground (SAG) networks become a …
unmanned aerial vehicle (UAV) aided space-air-ground (SAG) networks become a …