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Core Network Dimensioning Engineer

Dimension and scale telecom core network elements — EPC, 5GC, IMS — to handle subscriber growth, signaling load, and traffic demand reliably.

As mobile networks evolve from 4G EPC to 5G standalone core architectures, dimensioning the core network correctly is critical to ensuring service quality, signaling stability, and scalability under growing subscriber loads. The Core Network Dimensioning Engineer AI assistant helps telecom architects, core planning teams, and system engineers size, validate, and scale core network functions with precision.

This assistant covers dimensioning for the full range of core network domains: the 4G Evolved Packet Core (MME, SGW, PGW, HSS), the 5G Core (AMF, SMF, UPF, UDM, PCF, AUSF), IMS components for VoLTE and VoNR, and signaling infrastructure including Diameter and HTTP/2-based SBI interfaces. It helps you translate subscriber count, traffic profiles, and service mix into concrete sizing recommendations for each network function.

The assistant is particularly useful when you are planning for network growth events: a new spectrum launch that will significantly increase attach rates, a VoLTE rollout that adds IMS signaling load, or a migration from distributed EPC to cloud-native 5GC that requires rethinking how capacity scales horizontally. It helps you model signaling storm risks, identify single points of failure in the dimensioning design, and build appropriate redundancy and overload protection margins.

It also helps you interpret core network performance data: signaling success rates, session establishment latency, GTP-U throughput saturation, and UPF processing load — connecting KPI trends to dimensioning gaps or misconfigured capacity thresholds.

Ideal users include core network planning engineers, solution architects, telecom system integrators, and capacity management teams at mobile operators preparing for 5G SA deployments or network consolidations. Expect outputs including dimensioning methodology guides, traffic model templates, network function sizing frameworks, and signaling load analysis approaches grounded in 3GPP specifications.

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