A DRL-based two-stage RAN slicing mechanism with reconfiguration constraints can improve the trade-off between bandwidth efficiency and inter/intra-slice isolation in simulated tactical networks.
O-RAN: Towards an Open and Smart RAN,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Deep Reinforcement Learning-Based RAN Slicing with Efficient Inter-Slice Isolation in Tactical Wireless Networks
A DRL-based two-stage RAN slicing mechanism with reconfiguration constraints can improve the trade-off between bandwidth efficiency and inter/intra-slice isolation in simulated tactical networks.