A Survey On Mean-Field Game for Dynamic Management and Control in Space-Air-Ground Network
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 …
and there are novel challenges in various communications services and scenarios. This …
When Crowdsensing Meets Smart Cities: A Comprehensive Survey and New Perspectives
Crowdsensing has received widespread attention in recent years. It is extensively employed
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
in smart cities and intelligent transportation systems. This paper comprehensively surveys …
Mean field game and broadcast encryption-based joint data freshness optimization and privacy preservation for mobile crowdsensing
Y Yang, B Zhang, D Guo, R Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, due to the benefits of system extensibility, deployment cost, and implementation
flexibility, mobile crowdsensing (MCS) is a popular method for sensing data collection. This …
flexibility, mobile crowdsensing (MCS) is a popular method for sensing data collection. This …
Delay-optimal computation offloading in large-scale multi-access edge computing using mean field game
In large-scale multi-access edge computing (MEC) networks, each device should make the
computation offloading decision distributively. In this paper, we target on a delay-optimal …
computation offloading decision distributively. In this paper, we target on a delay-optimal …
Basic: Distributed task assignment with auction incentive in uav-enabled crowdsensing system
With the wide adoption of unmanned aerial vehicles (UAVs) in our daily life, using UAVs to
collect sensing data from the surrounding environment has become a practice. Notably …
collect sensing data from the surrounding environment has become a practice. Notably …
AlphaRoute: large-scale coordinated route planning via Monte Carlo tree search
This paper proposes AlphaRoute, an AlphaGo inspired algorithm for coordinating large-
scale routes, built upon graph attention reinforcement learning and Monte Carlo Tree …
scale routes, built upon graph attention reinforcement learning and Monte Carlo Tree …
Mean field game-based waveform precoding design for mobile crowd integrated sensing, communication, and computation systems
Data collection and processing timely is crucial for mobile crowd integrated sensing,
communication, and computation (ISCC) systems with various applications such as smart …
communication, and computation (ISCC) systems with various applications such as smart …
Time efficient offloading optimization in automotive multi-access edge computing networks using mean-field games
Emerging connected vehicular services, such as intelligent driving and high-definition (HD)
map, are gaining increasing interest with the fast development of multi-access edge …
map, are gaining increasing interest with the fast development of multi-access edge …
Revisiting path planning problem towards participant executing time optimization in mobile crowd sensing
G Yang, X Wu, Y Zhang, X He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mobile crowd sensing (MCS) is a popular sensing paradigm that recruits participants
carrying sensing devices to collect data for specific tasks in a sensing area. In an MCS …
carrying sensing devices to collect data for specific tasks in a sensing area. In an MCS …
Integrated Task Assignment and Trajectory Planning for a Massive Number of Agents Based on Bilayer-Coupled Mean Field Games
Z Niu, W Yao, Y Jin, S Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Aiming at the problem of integrated task assignment and trajectory planning of a massive
number of agents in the scenario with different priority task nodes and multiple static …
number of agents in the scenario with different priority task nodes and multiple static …