6G wireless communications networks: A comprehensive survey
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …
deployed with the aim of providing high data rates. However, the rapid growth in the number …
Evolution of non-terrestrial networks from 5G to 6G: A survey
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …
recent technological advancements and manufacturing cost reduction opened up myriad …
Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
UAV assistance paradigm: State-of-the-art in applications and challenges
Abstract Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to
be used in industries and various sectors of human life to provide a wide range of …
be used in industries and various sectors of human life to provide a wide range of …
Joint computation and communication design for UAV-assisted mobile edge computing in IoT
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system is a
prominent concept, where a UAV equipped with an MEC server is deployed to serve a …
prominent concept, where a UAV equipped with an MEC server is deployed to serve a …
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 …
envisioned to generate huge amounts of data. Due to the limitation of computation capacity …
Dynamic computation offloading and server deployment for UAV-enabled multi-access edge computing
Driven by the increasing demand of real-time mobile application processing, Multi-access
Edge Computing (MEC) has been envisioned as a promising paradigm for pushing …
Edge Computing (MEC) has been envisioned as a promising paradigm for pushing …
UAV-enhanced intelligent offloading for Internet of Things at the edge
With the explosive growth of diverse Internet of Things (IoT) applications, mobile edge
computing (MEC) has been brought to settle the conflict between computation-intensive …
computing (MEC) has been brought to settle the conflict between computation-intensive …
Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
Completion time and energy optimization in the UAV-enabled mobile-edge computing system
C Zhan, H Hu, X Sui, Z Liu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Completion time and energy consumption of the unmanned aerial vehicle (UAV) are two
important design aspects in UAV-enabled applications. In this article, we consider a UAV …
important design aspects in UAV-enabled applications. In this article, we consider a UAV …