MORPH fuses iPerf measurements on OpenAirInterface, MCS-conditioned theoretical throughput, and 3GPP PHY simulation to train RL agents that achieve more robust slice performance and SLA compliance than single-source training for PRB-level spectrum allocation in a single gNB.
Actor-critic network for o-ran resource allocation: xapp design, deployment, and analysis,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
MORPH: Multi-Environment Orchestrated Reinforcement Learning for PRB Handling in O-RAN
MORPH fuses iPerf measurements on OpenAirInterface, MCS-conditioned theoretical throughput, and 3GPP PHY simulation to train RL agents that achieve more robust slice performance and SLA compliance than single-source training for PRB-level spectrum allocation in a single gNB.