The project brought together a set of tightly integrated AI-driven capabilities to detect, diagnose, and automatically remediate RAN issues at Hajj scale.
Event insights and real-time proactive optimization: This was powered by Markaz, a custom platform developed for real time event monitoring and optimization. It delivers powerful user experience insights with interactive dashboards, detailed user-movement heatmaps reports, and instant visibility into failure causes. The solution was integrated seamlessly with Ericsson Network Management (ENM), delivering measurement resolution of just 1-3 minutes, and over 50 new KPIs for live failure insight. Dynamic load balancing and coverage-gap mitigation were achieved through coordinated centralized and distributed AI agents across cells, enabling instant CGM (Coverage Gap Mitigator) adjustments for near real-time network optimization implementing 598 automated corrective actions across 116 sites. In addition, optimization activities were performed in specialized indoor designs through IBS (In-Building Solutions) Issues Detector.
AI powered 5G and 4G Uplink Interference Optimizers: These optimizers, part of the Ericsson Cognitive Network Solutions (CNS) portfolio, powered advanced issue detection, root-cause analysis, and proposed actions. Customized root-cause analysis (RCA) was enabled by CNS Software API extensions and on-demand RCA prioritization with spatial dashboards. Closed-loop, zero-touch automation delivered continuous parameter recommendations and auto-tuning, such as uplink power control.
Together, these capabilities delivered fully automated detection, diagnosis, and corrective action across LTE and 5G layers, achieving zero-touch operations and continuous network optimization for the Hajj event.