Applications, evolutions, and challenges of drones in maritime transport
The widespread interest in using drones in maritime transport has rapidly grown alongside
the development of unmanned ships and drones. To stimulate growth and address the …
the development of unmanned ships and drones. To stimulate growth and address the …
Deep reinforcement learning‐based resource allocation in multi‐access edge computing
Network architects and engineers face challenges in meeting the increasing complexity and
low‐latency requirements of various services. To tackle these challenges, multi‐access …
low‐latency requirements of various services. To tackle these challenges, multi‐access …
Unmanned-aerial-vehicle-assisted wireless networks: Advancements, challenges, and solutions
The rapid development of communication and computing techniques enables unmanned
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …
aerial vehicles (UAVs) to provide reliable and cost-effective wireless communication and …
Advanced deep learning models for 6G: overview, opportunities and challenges
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …
heightened demand for advanced network intelligence to tackle the challenges of an …
Secrecy-driven energy minimization in federated learning-assisted marine digital twin networks
Digital twin has been emerging as a promising paradigm that connects physical entities and
digital space, and continuously evolves to optimize the physical systems. In this article, we …
digital space, and continuously evolves to optimize the physical systems. In this article, we …
Enhancing AIoT device association with task offloading in aerial MEC networks
J Chen, P Yang, S Ren, Z Zhao… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have emerged as a promising solution for enhancing
mobile-edge computing (MEC) networks. However, the integration of UAVs into MEC …
mobile-edge computing (MEC) networks. However, the integration of UAVs into MEC …
OFDM Receiver Design With Learning-Driven Automatic Modulation Recognition
The orthogonal frequency-division multiplexing (OFDM) is widely used in modern radio
communications because of its efficient spectrum utilization. As we know, the adaptive …
communications because of its efficient spectrum utilization. As we know, the adaptive …
Deep reinforcement learning for joint trajectory planning, transmission scheduling, and access control in UAV-assisted wireless sensor networks
Unmanned aerial vehicles (UAVs) can be used to relay sensing information and
computational workloads from ground users (GUs) to a remote base station (RBS) for further …
computational workloads from ground users (GUs) to a remote base station (RBS) for further …
Physical Environment Map Aided 3D Deployment Optimization for UAV-Assisted Integrated Localization and Communication in Urban Areas
This article considers deploying a dual-functional unmanned aerial vehicle (UAV) as both an
aerial data collector and aerial anchor node (AN) to assist the ground base stations in …
aerial data collector and aerial anchor node (AN) to assist the ground base stations in …
VESBELT: An energy-efficient and low-latency aware task offloading in Maritime Internet-of-Things networks using ensemble neural networks
SC Ghoshal, MM Hossain, BC Das, P Roy… - Future Generation …, 2024 - Elsevier
Due to increasing maritime activities, the number of Maritime Internet-of-things (MIoT)
devices requiring real-time marine data processing is growing exponentially. To offload …
devices requiring real-time marine data processing is growing exponentially. To offload …