Tallinn University of Technology

26 January 2024 at 10:00 AM
Marika Kulmar, "Radio Access Network Subslicing in Closed Control Loop for Improved Slice Performance Management"

Supervisor: Professor Muhammad Mahtab Alam, Thomas Johann Seebeck Department of Electronics, School of Information Technology, Tallinn University of Technology, Tallinn, Estonia

Co-supervisors:

  • Dr. Ivo Müürsepp, Thomas Johann Seebeck Department of Electronics, School of Information Technology, Tallinn University of Technology, Tallinn, Estonia
  • Dr. Sven Pärand, Telia Estonia Ltd, Tallinn, Estonia

Opponents:

  • Professor Olivier Berder, University of Rennes, CNRS, IRISA, Lannion, France
  • Professor Luca Reggiani, Politecnico Di Milano, Department of Electronics, Information and Bioengineering, Milano, Italy

The network slicing is a feature of the 5G cellular network that enables the building of multiple logical networks on top of the physical infrastructure. The advantages of network slicing are resource usage efficiency and better quality of service requirements satisfaction. In this thesis, radio access network (RAN) slicing is investigated from the performance perspective. By simulating the RAN slice, it was discovered that in a close-to-slice overload situation, the slice performance depends on the size of the slice bandwidth. Based on the dependence of the RAN slice performance on the slice bandwidth part size, subslicing algorithms were proposed. RAN subslicing means that slice users are grouped and slice bandwidth is subpartitioned, and these smaller bandwidth parts are allocated to the user groups. The results showed that users with poor signal quality performed better in smaller subslices. Finally, automatic subslicing to improve the slice performance on a fixed slice bandwidth was implemented using closed loop management. 

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