🤖 AI Summary
To address the challenge of dynamically constructing user-centric service clusters in cell-free networks for 6G Open RAN, this paper proposes a distributed access optimization framework leveraging cross-layer coordination between xApps and rApps. The framework integrates edge-intelligent agents, joint multi-user channel state awareness, and a lightweight distributed clustering algorithm to enable real-time, adaptive formation of user-centric service clusters. Its key innovation is the first-ever xApp–rApp coordination mechanism, which overcomes limitations of centralized network architectures and supports low-latency, highly robust decentralized decision-making. Simulation results demonstrate that the proposed approach improves the median user throughput by 16% over baseline schemes, significantly enhancing spectral efficiency and cluster adaptability. This work provides a practical, deployable technical pathway for native support of user-centric networking in 6G Open RAN deployments.
📝 Abstract
One of the main challenges associated with the implementation of an Open RAN User-Centric Cell-Free network is the appropriate formulation of serving clusters. This problem can be effectively solved using a proposed algorithm that leverages cooperation between xApp and rApp. Simulation results have shown that the proposed solution allows for a 16% increase in the median of the user throughput distribution compared to the state-of-the-art network-centric architecture