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Heuristic Radio Access Network Subslicing with User Clustering and Bandwidth Subpartitioning.

Marika Kulmar1, Ivo Müürsepp1, Muhammad Mahtab Alam1

  • 1Thomas Johann Seebeck Department of Electronics, Tallinn University of Technology (TalTech), Ehitajate tee 5, 19086 Tallinn, Estonia.

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This summary is machine-generated.

Network slicing in 5G enhances performance by dividing slices into subslices. This research shows subslicing improves radio access network (RAN) slice performance, especially for users with poor block error ratio (BLER).

Keywords:
5GRANUE clusteringperformance evaluationslicing

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Area of Science:

  • Telecommunications Engineering
  • Wireless Network Optimization
  • 5G Network Architecture

Background:

  • Network slicing is essential for meeting diverse service requirements in 5G and future networks.
  • The impact of subslice quantity and size on radio access network (RAN) slice performance remains understudied.
  • Understanding how resource allocation within slices affects user experience is critical for network efficiency.

Purpose of the Study:

  • To investigate the effects of creating subslices on RAN slice resources and user service.
  • To evaluate how the number and size of subslices influence overall RAN slice performance.
  • To analyze the trade-offs between bandwidth utilization and goodput in different subslicing scenarios.

Main Methods:

  • A novel subslicing algorithm was developed and compared against k-means UE clustering and equal UE grouping.
  • Slice performance was evaluated using MATLAB simulations, focusing on bandwidth utilization and goodput metrics.
  • The study analyzed scenarios with slices containing users with good and poor block error ratios (BLER).

Main Results:

  • The proposed subslicing algorithm demonstrated significant improvements in RAN slice performance.
  • Performance gains of up to 37% were observed for slices with all good-BLER users, primarily from reduced bandwidth utilization.
  • Slices with poor-BLER users showed performance improvements up to 84%, solely from goodput increases.

Conclusions:

  • Subsilicing is an effective strategy for enhancing RAN slice performance in 5G networks.
  • The minimum subslice size is a critical parameter, with 73 resource blocks (RB) identified for good-BLER user slices.
  • Flexible subslice sizing is possible for slices containing users with poor BLER, optimizing resource allocation.