Joint cooperative caching and power control for UAV-assisted internet of vehicles
W Wang, Y Liu, Y Dai, Y He - Scientific Reports, 2024 - nature.com
In view of the current problems of spectrum resource scarcity, return congestion, and
insufficient energy utilization in the unmanned aerial vehicle (UAV)-assisted Internet of …
insufficient energy utilization in the unmanned aerial vehicle (UAV)-assisted Internet of …
Heterogeneous traffic flow signal control and CAV trajectory optimization based on pre-signal lights and dedicated CAV lanes
J Wang, H Yu, S Chen, Z Ye, Y Ren - Sustainability, 2023 - mdpi.com
This paper proposes a control system to address the efficiency and pollutant emissions of
heterogeneous traffic flow composed of human-operated vehicles (HVs) and connected and …
heterogeneous traffic flow composed of human-operated vehicles (HVs) and connected and …
Deep-Neural-Network-Based Receiver Design for Downlink Non-Orthogonal Multiple-Access Underwater Acoustic Communication
The excavation of the ocean has led to the submersion of numerous autonomous vehicles
and sensors. Hence, there is a growing need for multi-user underwater acoustic …
and sensors. Hence, there is a growing need for multi-user underwater acoustic …
Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks
K Wang, Q Zhang, G Zheng, X Hu - Sensors, 2023 - mdpi.com
Aiming at the problem of asynchronous multi-target tracking, this paper studies the AA fusion
optimization problem of multi-sensor networks. Firstly, each sensor node runs a PHD filter …
optimization problem of multi-sensor networks. Firstly, each sensor node runs a PHD filter …
A multi-stage interval optimization approach for operation of the smart multi-carries energy system considering energy prices uncertainty
This study presents a approach to optimize the operation of the smart multi-carrier energy
system (SMCES) in residential consumers taking into account the uncertain nature of gas …
system (SMCES) in residential consumers taking into account the uncertain nature of gas …
Joint Optimization for RIS-Aided Hybrid FSO SAGINs with Deep Reinforcement Learning
The trend of integrated satellite-HAP-ground networks (IS-HAP-GNs) as an critical directions
for the future development of next generation network technology is widely recognized by …
for the future development of next generation network technology is widely recognized by …
Task Rescheduling for UAV-Assisted Emergency Communications under Uncertainty
In dynamic and unknown emergency networks,(unmanned aerial vehicle) UAV-assisted task
scheduling is an important and efficient technique. However, the inevitable uncertainty …
scheduling is an important and efficient technique. However, the inevitable uncertainty …