A Survey On Mean-Field Game for Dynamic Management and Control in Space-Air-Ground Network

Y Wang, C Yang, T Li, X Mi, L Li… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
The data traffic volume of the 6th generation (6G) mobile communication networks is huge,
and there are novel challenges in various communications services and scenarios. This …

Fast adaptive jamming resource allocation against frequency-hopping spread spectrum in wireless sensor networks via meta deep reinforcement learning

N Rao, H Xu, Z Qi, D Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Partial-band noise jamming is an important countermeasure against frequency-hopping
spread spectrum technology in wireless sensor networks, and the jamming resource …

Quantum multi-agent reinforcement learning for cooperative mobile access in space-air-ground integrated networks

GS Kim, Y Cho, J Chung, S Park, S Jung, Z Han… - arXiv preprint arXiv …, 2024 - arxiv.org
Achieving global space-air-ground integrated network (SAGIN) access only with CubeSats
presents significant challenges such as the access sustainability limitations in specific …

Customized Mean Field Game Method of Virtual Power Plant for Real-Time Peak Regulation

K Zhang, Y Xie, N Liu, S Chen - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
This paper proposes a customized incentive compatible mean field game (MFG) method for
virtual power plant (VPP) with a large number of self-interest heterogeneous distributed …

Adaptive fuzzy convolutional neural network for medical image classification

S Gupta, N Patel, A Kumar, NK Jain… - Journal of Intelligent …, 2023 - content.iospress.com
Due to resource constraints and the diverse nature of the devices involved, energy efficiency
and scalability enhancement are important challenges in the Internet of Things (IoT) …

Reliability-Optimal UAV-Assisted Mobile Edge Computing: Joint Resource Allocation, Data Transmission Scheduling and Motion Control

J Zhou, M Wang, D Tian, K Qu, G Qu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) play a crucial role in mobile edge computing (MEC)
within space-air-ground integrated networks. They serve as aerial cloudlets, enabling task …

Intelligent resource optimization for scalable and energy-efficient heterogeneous IoT devices

S Gupta, N Patel, A Kumar, NK Jain, P Dass… - Multimedia Tools and …, 2024 - Springer
Due to resource shortages and device diversity, energy efficiency and scalability issues are
critical in the Internet of Things (IoT) space. Managing edge resources consistently to …

[HTML][HTML] Guaranteed Performance Resilient Security Consensus Control for Nonlinear Networked Control Systems Under Asynchronous DoS Cyber Attacks and …

C Zhou, Y Wang, Y Sun, C Fu - Drones, 2024 - mdpi.com
This paper investigates the guaranteed performance resilient security consensus control of
nonlinear networked control systems (NCSs) subject to asynchronous denial-of-service …

Power Control for Anti-Jamming Communications in Large-Scale UAV Networks: A Mean Field Game

R Chen, Y Xu, X Zheng, Z Hou, Z Feng… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This paper investigates an energy-efficient commu-nication problem in large-scale UAV
base stations (UAV-BSs) networks by mean field game (MFG) approach. Considering the …

Knowledge graph completion assisted graph neural network for spectrum resource optimization of UAV swarm

Y Wang, X Liao, G Ye, X Zhu - Journal of Physics: Conference …, 2024 - iopscience.iop.org
Unmanned aerial vehicles (UAVs) are playing an increasing critical role in industrial,
agricultural and military Scenario. However, the energy consuming cannot be ignored …