TELCOSUS03-BP01 Adopt circular economy principles for telco network assets
Implementing circular economy principles in telco networks requires comprehensive visibility into physical and virtual assets throughout their lifecycle. This includes tracking network equipment from procurement through decommissioning, optimizing hardware utilization to extend lifespan, and establishing processes for equipment refurbishment and responsible recycling.
Desired outcome: Extend network equipment lifespan through predictive maintenance, optimize asset utilization, and establish sustainable end-of-life processes for hardware recycling and repurposing, reducing electronic waste and capital expenditure.
Benefits of establishing this practice:
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Achieve reduction in equipment replacement costs through lifecycle extension.
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Minimized electronic waste through reuse and responsible recycling.
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Improved utilization rates through better visibility.
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Meeting circular economy regulations and corporate ESG commitments.
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Data-driven decisions on asset replacement and maintenance.
Level of risk exposed if this best practice is not established: Low
Implementation guidance
Design an asset tracking system that monitors both physical infrastructure (base stations, routers, switches) and virtual resources (VNF licenses, cloud resources). Use IoT sensors to track equipment health metrics like temperature, power consumption, and performance degradation to predict optimal replacement timing and identify reuse opportunities.
Implement predictive maintenance using machine learning to extend equipment lifespan. By analyzing historical failure patterns and real-time telemetry, you can perform maintenance before failures occur, reducing premature equipment replacement and minimizing electronic waste.
Implementation steps
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Deploy AWS IoT Core to connect and manage telco network equipment sensors, creating digital twins for major assets like base stations and core network equipment.
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Configure AWS IoT SiteWise to model your telco asset hierarchy (regions, sites, equipment types) and collect metrics on utilization, energy consumption, and health status.
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Implement Amazon Timestream to store time-series data from network equipment, enabling long-term trend analysis for predictive maintenance.
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Create AWS IoT Events detectors to identify equipment approaching end-of-life based on performance degradation patterns specific to telco equipment.
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Deploy Amazon SageMaker AI to build predictive maintenance models using historical failure data.
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Set up Quick dashboards displaying asset utilization rates, predicted replacement schedules, and opportunities for equipment redeployment.
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Implement AWS Systems Manager Inventory to track software licenses and virtual resource allocation, identifying underutilized assets for reallocation.
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Configure Amazon SNS notifications for equipment lifecycle events (like warranty expiration, maintenance due, and end-of-life) to enable proactive asset management.
Resources
Key AWS services:
