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AI for Good Innovate for Impact



                   Use Case 12: Dynamic Instance Switching in 5G Network Slices

               Based on Load                                                                                        4.3 - 5G













               Country: India
               Organization: Indian Institute of Technology, Hyderabad(IITH)


               Contact Persons:
                    Dr. Antony Franklin (antony.franklin@ cse .iith .ac .in)
                    Mr. Yaswanth Kumar L S (cs24resch11007@ iith .ac .in)
                    Mr. Arjit Gupta (cs23mtech12001@ iith .ac .in)
                    Ms. Somya Jain (cs23mtech12011@ iith .ac .in)
                    Mr. Shreesh Gupta (cs23mtech12009@ iith .ac .in)

               1      Use Case Summary Table


                Category            Telecommunications
                Problem    to   be Efficient management of 5G network slice instances to handle varying
                Addressed           load demands while ensuring optimal resource utilization and Quality
                                    of Service (QoS).

                Key  Aspects  of  the  Implementation of a dynamic management system that monitors network
                Solution            slice loads in real-time and switches between different instances of the
                                    same slice based on current demands.
                Technology          5G, network slicing, dynamic instance management, QoS
                Keywords
                Data Availability   N/A

                Metadata (Type of  Network traffic statistics, slice performance metrics, resource allocation
                Data)               logs

                Model Training and  Application of ML techniques training on historical network data to
                Fine-Tuning         predict optimal slice instance configurations under varying load condi-
                                    tions.

                Testbeds or Pilot  N/A
                Deployments
















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