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A survey on intelligent computation offloading and pricing strategy in UAV-Enabled MEC network: Challenges and research directions
The Mobile Network Operator (MNO) must select how to delegate Mobile Device (MD)
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
queries to its Mobile Edge Computing (MEC) server in order to maximize the overall benefit …
Joint energy and completion time difference minimization for UAV-enabled intelligent transportation systems: A constrained multi-objective optimization approach
An unmanned aerial vehicle (UAV)-enabled intelligent transportation system utilizes a set of
UAVs to collect and process surveillance data for transportation management …
UAVs to collect and process surveillance data for transportation management …
Adaptive Multi-Layered Non-Terrestrial Network with Integrated FSO and RF Communications for Enhanced Global Connectivity
This paper introduces the Adaptive Multi-Layered Non-Terrestrial Network (AMLT-NTN), an
architecture that integrates satellite, High Altitude Platform Stations (HAPS), and Unmanned …
architecture that integrates satellite, High Altitude Platform Stations (HAPS), and Unmanned …
Equalizing service probability in UAV-assisted wireless powered mmWave networks for post-disaster rescue
N **, J Gui, X Zhou - Computer Networks, 2023 - Elsevier
Unmanned aerial vehicles (UAVs) are widely used in the areas where ground network
infrastructure is inadequate (or crippled by accidents and disasters) to provide services for …
infrastructure is inadequate (or crippled by accidents and disasters) to provide services for …
A Multi-UAV Cooperative Task Scheduling in Dynamic Environments: Throughput Maximization
Unmanned aerial vehicle (UAV) has been considered a promising technology for advancing
terrestrial mobile computing in the dynamic environment. In this research field, throughput …
terrestrial mobile computing in the dynamic environment. In this research field, throughput …
A cooperative MEC framework based on multi-UAV and AP to minimize weighted energy consumption
In this paper, a cooperative MEC system with multi-UAV and a ground access point (AP) is
considered, in which UAVs can act as both a computing platform to help Internet of Things …
considered, in which UAVs can act as both a computing platform to help Internet of Things …
An RSU-crossed dependent task offloading scheme for vehicular edge computing based on deep reinforcement learning
X Bi, J Shi, B Zhang, Z Lyu… - International Journal of …, 2023 - inderscienceonline.com
Various interdependent and computationally intensive on-vehicle tasks have posed great
pressure on the computing power of vehicles. Vehicular edge computing (VEC) is …
pressure on the computing power of vehicles. Vehicular edge computing (VEC) is …
Partial offloading in device-to-device-assisted MEC network: A utility optimization approach
R Zhang, J Zhang, W Shi - Computer Communications, 2023 - Elsevier
In order to meet the growing demand for faster and more efficient communication and
computing in internet of things networks, the device-to-device (D2D)-assisted multi-access …
computing in internet of things networks, the device-to-device (D2D)-assisted multi-access …
Online Autonomous Motion Control of Communication-Relay UAV with Channel Prediction in Dynamic Urban Environments
C Tao, L Bowen - Drones, 2024 - search.proquest.com
In order to improve the network performance of multi-unmanned ground vehicle (UGV)
systems in urban environments, this article proposes a novel online autonomous motion …
systems in urban environments, this article proposes a novel online autonomous motion …
A beacon-less relay-node selection method for 3-D scenarios in Internet of Vehicle
Abstract Internet of Vehicles (IoV) presents a multilevel feature when vehicles move in
multilevel scenarios, such as interchange. Wireless channels and node distribution in 3-D …
multilevel scenarios, such as interchange. Wireless channels and node distribution in 3-D …