A digital twin-based INC-MEC framework models XR user interactions as a Stackelberg Markov game and uses a Nash-asynchronous hybrid multi-agent RL algorithm to achieve Nash Equilibrium, improving system utility, uplink rate, and energy efficiency in simulations.
Collaborative offloading method for digital twin empowered cloud edge computing on internet of vehicles
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.DC 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Digital Twin-Assisted In-Network and Edge Collaboration for Joint User Association, Task Offloading, and Resource Allocation in the Metaverse
A digital twin-based INC-MEC framework models XR user interactions as a Stackelberg Markov game and uses a Nash-asynchronous hybrid multi-agent RL algorithm to achieve Nash Equilibrium, improving system utility, uplink rate, and energy efficiency in simulations.