COMIX: Generalized Conflict Management in O-RAN xApps -- Architecture, Workflow, and a Power Control case
Anastasios Giannopoulos, Sotirios Spantideas, Levis George,, Kalafatelis Alexandros, Panagiotis Trakadas

TL;DR
This paper presents COMIX, a conflict management framework for O-RAN xApps that detects and resolves conflicting actions, improving network performance and energy efficiency through a standardized mitigation approach and digital twin evaluation.
Contribution
It introduces a generalized conflict management scheme for O-RAN xApps, utilizing a conflict mitigation framework and digital twin for conflict detection and resolution.
Findings
Effective conflict resolution improves network energy savings.
COMIX balances conflicting objectives in power control xApps.
Validation shows significant performance gains over baseline methods.
Abstract
Open Radio Access Network (O-RAN) is transforming the telecommunications landscape by enabling flexible, intelligent, and multi-vendor networks. Central to its architecture are xApps hosted on the Near-Real-Time RAN Intelligent Controller (Near-RT RIC), which optimize network functions in real time. However, the concurrent operation of multiple xApps with conflicting objectives can lead to suboptimal performance. This paper introduces a generalized Conflict Management scheme for Multi-Channel Power Control in O-RAN xApps (COMIX), designed to detect and resolve conflicts between xApps. To demonstrate COMIX, we focus on two Deep Reinforcement Learning (DRL)-based xApps for power control: one maximizes the data rare across UEs, and the other optimizes system-level energy efficiency. COMIX employs a standardized Conflict Mitigation Framework (CMF) for conflict detection and resolution and…
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Taxonomy
TopicsBusiness Process Modeling and Analysis · Service-Oriented Architecture and Web Services · Scientific Computing and Data Management
