PACIFISTA: Conflict Evaluation and Management in Open RAN
Pietro Brach del Prever, Salvatore D'Oro, Leonardo Bonati, Michele Polese, Maria Tsampazi, Heiko Lehmann, Tommaso Melodia

TL;DR
PACIFISTA is a framework designed to detect, characterize, and mitigate conflicts among AI-driven applications in Open RAN networks, enhancing network stability and performance.
Contribution
It introduces a novel conflict management framework for O-RAN, combining profiling, hierarchical graphs, and statistical models to predict and mitigate conflicts.
Findings
PACIFISTA predicts conflicts before deployment.
Conflicting applications can cause up to 30% performance degradation.
Operators can use PACIFISTA to maintain network stability.
Abstract
The O-RAN ALLIANCE is defining architectures, interfaces, operations, and security requirements for cellular networks based on Open Radio Access Network (RAN) principles. In this context, O-RAN introduced the RAN Intelligent Controllers (RICs) to enable dynamic control of cellular networks via data-driven applications referred to as rApps and xApps. RICs enable for the first time truly intelligent and self-organizing cellular networks. However, enabling the execution of many Artificial Intelligence (AI) algorithms making autonomous control decisions to fulfill diverse (and possibly conflicting) goals poses unprecedented challenges. For instance, the execution of one xApp aiming at maximizing throughput and one aiming at minimizing energy consumption would inevitably result in diametrically opposed resource allocation strategies. Therefore, conflict management becomes a crucial component…
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Taxonomy
TopicsDistributed systems and fault tolerance · Software System Performance and Reliability
