Digital Twin-Driven Autonomous Enterprise 6G Networks for Fault Recovery and Energy Optimization
Keywords:
Digital twin, 6G networks, autonomous networks, fault recovery, energy optimization, network orchestration.Abstract
The 6G enterprise networks which exist today encounter operational problems which need organizations to establish automated systems that function without any human assistance instead of their current method which reacts to problems after they occur. The researchers developed a new framework which uses digital twin technology to improve fault recovery processes while reducing energy usage in specific operational areas. The framework creates a real time digital duplicate which tracks cross layer relationships between physical infrastructure elements and radio resources and application services to enable network configuration testing and recovery action validation before real system deployment. The system uses what if simulation capability to automatically choose and implement the best strategies which provide maximum protection and minimum power usage when it faces changing conditions or system breakdowns. Our testing and evaluation of the framework took place on a distributed campus network testbed. The experimental results show that our system achieves faster fault recovery times and uses less energy than traditional methods which depend on reactive approaches. The digital twin driven method which we propose enables future 6G wireless networks to operate safely and efficiently while achieving complete autonomous control.
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