Conflict Mitigation Framework and Conflict Detection in O-RAN Near-RT RIC
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Abstract (arXiv)
The steady evolution of the Open RAN concept sheds light on xApps and their potential use cases in O-RANcompliant deployments. There are several areas where xApps can be used that are being widely investigated, but the issue of mitigating conflicts between xApp decisions requires further in-depth investigation. This article defines a conflict mitigation framework (CMF) built into the existing O-RAN architecture; it enables the Conflict Mitigation component in O-RAN's Near- Real-Time RAN Intelligent Controller (Near-RT RIC) to detect and resolve all conflict types defined in the O-RAN Alliance's technical specifications. Methods for detecting each type of conflict are defined, including message flows between Near-RT RIC components. The suitability of the proposed CMF is proven with a simulation of an O-RAN network. Results of the simulation show that enabling the CMF allows balancing the network control capabilities of conflicting xApps to significantly improve network performance, with a small negative impact on its reliability. It is concluded that defining a unified CMF in Near-RT RIC is the first step towards providing a standardized method of conflict detection and resolution in O-RAN environments.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 May 2023.
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Citing papers per year: 2025: 2; 2026: 5.
7 papers.
- 2025O-RAN Xapps Conflict Prediction Using Graph Convolutional Networkscited by 5
- 2026Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Managementcited by 4
- 2025Online Conformal Anomaly Detection with Prediction-Powered Data Acquisitioncited by 0
- 2026Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Controlcited by 0
- 2026ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xAppscited by 0
- 2026Detecting Control and Response Events for AI-Enabled Radio Access Networkscited by 0
- 2026Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RANcited by 0
- 2026Taming the Agentic RAN: Stability-Guaranteed Arbitration of Autonomous AI Agents in O-RAN16 Sep 2026
- 2026Detecting Control and Response Events for AI-Enabled Radio Access Networks4 Jun 2026
- 2026ACCoRD: Actor-Critic Conflict Resolution with Deep learning for O-RAN xApps21 May 2026
- 2026Executor-Side Progressive Risk-Gated Actuation for Agentic AI in Wireless Supervisory Control4 May 2026
- 2026Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management15 Feb 2026
- 2025Online Conformal Anomaly Detection with Prediction-Powered Data Acquisition3 May 2025
- 2025O-RAN Xapps Conflict Prediction Using Graph Convolutional Networks5 Mar 2025