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Private 5G networks will soon be ubiquitous across the future-generationsmart wireless access infrastructures hosting a wide range ofperformance-critical applications. A high-performing User Plane Function (UPF)in the data plane is critical to achieving such stringent performance goals, asit governs fast packet processing and supports several key control-planeoperations. Based on a private 5G prototype implementation and analysis, it isimperative to perform dynamic resource management and orchestration at the UPF.This paper leverages Mobile Edge Cloud-Intelligent Agent (MEC-IA), a logicallycentralized entity that proactively distributes resources at UPF for variousservice types, significantly reducing the tail latency experienced by the userrequests while maximizing resource utilization. Extending the MEC-IAfunctionality to MEC layers further incurs data plane latency reduction. Basedon our extensive simulations, under skewed uRLLC traffic arrival, the MEC-IAassisted bestfit UPF-MEC scheme reduces the worst-case latency of UE requestsby up to 77.8% w.r.t. baseline. Additionally, the system can increase uRLLCconnectivity gain by 2.40x while obtaining 40% CapEx savings.

MEC-Intelligent Agent Support for Low-Latency Data Plane in Private NextG Core