🤖 AI Summary
This work proposes a semantic-aware, intent-based wireless resource orchestration approach tailored for Open RAN architecture and evaluates its performance under realistic observability constraints. To this end, the authors develop a scalable ns-3-based simulation framework integrating a RAN Intelligent Controller (RIC) with distributed applications (dApps), enabling intent-driven orchestration across multiple time scales, validated through a wireless resource management use case. A novel Intent Satisfaction Score (ISS) metric is introduced, combining distortion and perception-oriented measures to achieve, for the first time in Open RAN simulations, semantic-aware closed-loop control. Experimental results demonstrate that the proposed method significantly reduces radio resource consumption and computational overhead while effectively improving intent satisfaction, at the cost of only moderate degradation in packet delivery ratio and throughput.
📝 Abstract
This paper presents an extensible ns-3-based simulation framework for evaluating intent-based, semantics-aware control in Open RAN architectures. The framework integrates external Radio Access Network (RAN) Intelligent Controller (RIC) components and supports fine-grained control via internal distributed applications (dApps), enabling intent-based RAN orchestration across different timescales while maintaining standardized network behavior. As an illustrative use case, we implement an intent-based dApp for radio resource management (RRM) under realistic observability constraints. The scheduling problem is formulated using realistic key performance measurements (KPMs) available to dApps, together with a newly introduced Intent Satisfaction Score (ISS), which quantifies the delivery of intent-relevant information by combining distortion- and perception-oriented measures. Simulation results show that intent-based RRM can improve ISS while significantly reducing radio resource usage and computational overhead, at the cost of a moderate reduction in packet delivery ratio and throughput.