2E network slicing framework for 5G wireless Present a global E2E framework for network slicing [173] communication systems in 5G network On radio access network slicing from a radio resource Describe the network slicing deployment in NG-RAN [174] management perspective Impact of network slicing on 5G radio access [175] networks A new network slicing framework for multi-tenant [176] heterogeneous cloud radio access networks Network slicing for 5G with SDN/NFV: Concepts, Present the concepts of SDN and NFV within [177] architectures, and challenges network slicing Books 5G NR architecture technology implementation and In chapter 1, network slicing conceptual architecture [165] operation and the impact on RAN for URLLC, mMTC, and eMBB have been highlighted 5G system design architectural and functional In chapter 8, an implementation of network slicing in [178] considerations and long-term research CN and the slicing impact on RAN were discussed M. Alfaqawi et al. Network service 1 Network service 2 Network service 3 Service instance layer NSI 1 NSI 2 NSI 3 Sub-network Sub-network Network slice instance 1 instance 2 instance layer Network functions Network functions Network functions and infrastructure e.g. and infrastructure e.g. and infrastructure e.g. Resources layer Fig. 1.10 Network slicing conceptual architecture network planning including element placement problem and dimensioning of C- RAN clusters. Therefore, AI/ML is mandated to automate the network planning to find the optimal placement of network elements, reduce CAPEX/OPEX, and maximize BSs coverage. Meanwhile, AI/ML provides efficient tools for network diagnostics in order to forecast, detect, and alert network problems [181]. Conse- quently, AI/ML methods with network diagnostic overcome challenges regarding UEs localization and forecasting of network characteristics and events to improve the QoS and security. On the other hand, AI/ML with network optimization and control provides promising solutions for challenging issues in RAN slicing, radio resour