A digital-twin-channel and game-theoretic scheduling framework claims an 11.5 percent throughput gain, but a circular evaluation makes the headline result unreliable.
Deep Reinforcement Learning for Stochastic Com- putation Offloading in Digital Twin Networks [J]
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Digital Twin Channel-Enabled Online Resource Allocation for 6G: Principle, Architecture and Application
A digital-twin-channel and game-theoretic scheduling framework claims an 11.5 percent throughput gain, but a circular evaluation makes the headline result unreliable.