Rate maximization in a uav based full-duplex multi-user communication network using multi-objective optimization
In this paper, we study an unmanned-aerial-vehicle (UAV) based full-duplex (FD) multi-user
communication network, where a UAV is deployed as a multiple-input–multiple-output …
communication network, where a UAV is deployed as a multiple-input–multiple-output …
Resource Allocation in UAV‐Assisted Wireless Powered Communication Networks for Urban Monitoring
T Lyu, H Zhang, H Xu - Wireless Communications and Mobile …, 2022 - Wiley Online Library
In this paper, we studied the unmanned aerial vehicle‐assisted urban monitoring network, in
which unmanned aerial vehicle (UAV) with wireless power transmission provides energy …
which unmanned aerial vehicle (UAV) with wireless power transmission provides energy …
Fault-Tolerant Scheduling of Heterogeneous UAVs for Data Collection of IoT Applications
H Yan, W Bao, X Li, X Zhu, Y Zhang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
UAV-enabled data collection is considered a promising paradigm of emergency data
transmission for IoT applications when the communication infrastructure is damaged. UAV …
transmission for IoT applications when the communication infrastructure is damaged. UAV …
Latency and Privacy Aware Convolutional Neural Network Distributed Inference for Reliable Artificial Intelligence Systems
Reliable artificial intelligence systems not only propose a challenge on providing intelligent
services with high quality for customers, but also require customers' privacy to be protected …
services with high quality for customers, but also require customers' privacy to be protected …
Energy-Efficient Trajectory Optimization with Wireless Charging in UAV-Assisted MEC Based on Multi-Objective Reinforcement Learning
This paper investigates the problem of energy-efficient trajectory optimization with wireless
charging (ETWC) in an unmanned aerial vehicle (UAV)-assisted mobile edge computing …
charging (ETWC) in an unmanned aerial vehicle (UAV)-assisted mobile edge computing …
AoI minimization of ambient backscatter-assisted EH-CRN with cooperative spectrum sensing
To evaluate the timeliness and freshness of information from energy-constrained devices,
we minimize the weighted average age of information (AoI) of the ambient backscatter …
we minimize the weighted average age of information (AoI) of the ambient backscatter …
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 …
Off-Policy Deep Reinforcement Learning Algorithms for Handling Various Robotic Manipulator Tasks
A Rzayev, VT Aghaei - arXiv preprint arXiv:2212.05572, 2022 - arxiv.org
In order to avoid conventional controlling methods which created obstacles due to the
complexity of systems and intense demand on data density, developing modern and more …
complexity of systems and intense demand on data density, developing modern and more …
AoI and Energy Tradeoff for Aerial-Ground Collaborative MEC: A Multi-Objective Learning Approach
This paper studies the age of information (AoI) and energy tradeoff (AET) problem in an
aerial-ground collaborative mobile edge computing system, where a high-altitude platform …
aerial-ground collaborative mobile edge computing system, where a high-altitude platform …
UAV-Assisted Mobile Edge Computing: Dynamic Trajectory Design and Resource Allocation
The recent advancements of mobile edge computing (MEC) technologies and unmanned
aerial vehicles (UAVs) have provided resilient and flexible computation services for ground …
aerial vehicles (UAVs) have provided resilient and flexible computation services for ground …