Senior SON Architect

Industrializing SON Outcomes via SMO-Driven Automation

Designing production-grade cSON architectures and SMO-driven automation to transform RAN operations.

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Salvador Ibarra

About Me

"Industrializing Network Excellence"

Focused on bridging the gap between theoretical architecture and production reality. My mission is to streamline SON implementations, enabling autonomous network operations that drive real business value.

Technical Capabilities

Core Expertise

cSON Architecture

Designing production-grade Centralized SON architectures that scale. Expertise in closed-loop control systems and multivendor integration.

SMO & Automation

Transitioning legacy SON functions into rApps/xApps within O-RAN architectures. Leveraging SMO for intent-based network management.

5G RAN Optimization

Advanced parameter tuning and KPI optimization for NR NSA/SA. focusing on spectral efficiency and mobility management.

Proven Track Record

Case Studies

Multivendor cSON Governance

National Unified Governance

Enforced unified cSON governance across Verizon's Samsung, Nokia, and Ericsson footprint.

Industrializing Network Assurance via SMO

1,200+ KPI Inconsistencies Resolved

Integrated O-CU/O-DU components with Capgemini's SMO platform for centralized O-RAN assurance.

Scalable cSON Architecture & KPI Accountability

55% Visibility Improvement

Engineered scalable cSON architectures for Tier-1 operators to automate LTE and 5G optimization.

National Unified Governance

Multivendor cSON Governance

Problem

Inconsistencies in the activation of automated features across different equipment manufacturers (Samsung, Nokia, Ericsson) within the Verizon network led to configuration drift and operational instability.

Solution

Designed and implemented a First Feature Application (FFA) strategy with strict ‘readiness gates’ to validate critical cSON functions such as ANR (Automatic Neighbor Relation), DPO (Dynamic Parameter Optimization), and PCI Management before network-wide deployment.

Result

Achieved National Unified Governance and mitigated instability risks prior to the mass deployment of the VFBO (Voice Fall Back Optimization) application.
1,200+ KPI Inconsistencies Resolved

Industrializing Network Assurance via SMO

Problem

The integration of O-CU/O-DU components within an evolving O-RAN environment suffered from a lack of centralized visibility and significant discrepancies in the classification of performance KPIs.

Solution

Aligned all assurance workflows with O-RAN and 3GPP standards, integrating CM (Configuration Management), PM (Performance Management), and FM (Fault Management) interfaces to establish a single pane of glass for centralized observability via the Capgemini SMO.

Result

Resolved over 1,200 KPI inconsistencies and achieved 100% compliance in parameter configuration standards, ensuring a robust and observable network foundation for future automation.
55% Visibility Improvement

Scalable cSON Architecture & KPI Accountability

Problem

Manual optimization processes were distinctively slow and difficult to scale effectively for Tier-1 networks without compromising overall network integrity and performance.

Solution

Implemented advanced optimization logic for LTE and 5G RAN, balancing coverage, capacity, and interference through automated decisions driven by real-time KPIs. This included proactive software validation mechanisms to prevent regression during updates.

Result

Delivered a 55% improvement in operational visibility and successfully prevented network incidents through proactive software validation and automated incident detection logic.

Experience with Industry Leaders

Samsung logo
Nokia logo
Ericsson logo
Huawei logo
Capgemini logo

Proven delivery across multivendor production environments and FOA/FFA validation gates.

Latest Thoughts

Insights & Publications

AI-NATIVE RAN: FROM SON TO SELF-EVOLVING NETWORKS
April 2026

AI-NATIVE RAN: FROM SON TO SELF-EVOLVING NETWORKS

Explains how 3GPP Rel-18 is driving the transition from traditional rule-based SON to AI-native RAN, where networks can learn, adapt, and make autonomous decisions. It highlights the shift from engineered optimization toward self-evolving, intelligent network behavior.

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Why multi-vendor RAN is still hard
April 2026

Why multi-vendor RAN is still hard

This post explains why multi-vendor RAN remains challenging despite open interfaces, highlighting how true complexity lies in behavior alignment, integration, and system-level coordination.

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Why SMO is not just a new OSS
March 2026

Why SMO is not just a new OSS

This post explains why SMO is not just an evolution of OSS, but a fundamental shift toward orchestrating intelligence and decision-making in modern RAN architectures.

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The hidden cost of PCI mismanagement
March 2026

The hidden cost of PCI mismanagement

This post highlights how poor PCI management creates hidden performance issues across mobility, interference, and load balancing, making it a critical but often underestimated layer in RAN optimization.

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