DeepB2B2XSlice Engine - An O-RAN Slice Selection and Resource Optimization AI Engine

With CSPs (communication service provider) making a lot of investment in 5G infrastructure, generating a return is bound to be a top priority. For 5G network slicing, the ability to service all types of connectivity across common network infrastructure, as well as enable operators to open their networks to B2B2X industries using analytics is key to tapping into the massive projected revenue opportunities. Optimizing Slice allocation and slice selection using machine learning, Deep Learning, and AI (Artificial Intelligence) will be key to generate revenue for CSPs for various B2B2X uses cases on basis of type of device, mobility, Latency requirement, etc. For this purpose, we are introducing O-RAN (Open-Radio Access Network) DeepB2B2XSlice Slice selection and resource optimization Engine. O-RAN DeepB2B2XSlice Engine will identify Service degradation parameter and optimize Slice resources to handle failures in future by deep learning algorithms, improve efficiency and meet SLA(Service Level Agreement) performance requirements. Engine will also perform slice selection optimization function based on SLA requirement, DeepB2B2XSlice Engine will recommend optimize Slice RAN resources parameters based on data analysis from historical data in response allocation request from operator.