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.
Un- derstanding o-ran: Architecture, interfaces, algorithms, security, and re- search challenges
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A multi-domain distributed classifier for interference in O-RAN cuts latency by 9 times and computation by 11 times versus monolithic models with minimal accuracy loss.
citing papers explorer
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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.
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Disaggregated multi-domain interference classification for O-RAN
A multi-domain distributed classifier for interference in O-RAN cuts latency by 9 times and computation by 11 times versus monolithic models with minimal accuracy loss.