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Analytical Modeling and Improvement of Interference-Coupled RAN Slicing

Hashemian, A ; Sharif University of Technology | 2024

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  1. Type of Document: Article
  2. DOI: 10.1109/TMC.2024.3431194
  3. Publisher: 2024
  4. Abstract:
  5. Network slicing, a key component of 5G, enables simultaneously running incompatible service types on a common infrastructure. Inter-slice isolation, as a key requirement of slicing, ensures that slice activity, i.e., containing a flow under transmission, does not affect the activity of other slices. Isolation in radio access network (RAN) slices is challenging due to interaction between slices. In fact, due to direct or indirect overlap among frequency channels in RAN slices, interference in inevitable, leading to interaction. In this paper, we propose an analytical model to analyze interference-coupled multi-cell RAN slicing where the interaction among slices results in dynamic behavior of slices. To this end, we map our scenario onto a suitable state-dependent queueing network, propose an iterative algorithm to obtain approximately the network steady-state probability distribution, and derive conventional QoS metrics (average delay and throughput). To quantify isolation, we define some new key performance indicators (KPIs) that show how changes in interfering slices affect the QoS metrics. Finally, we propose an interference-aware slice channel allocation policy that significantly reduces overlapping frequency channels. Numerical results demonstrate the accuracy of our analysis and the efficacy of the proposed policy in improving isolation-based KPIs compared to some other allocation policies. © 2002-2012 IEEE
  6. Keywords:
  7. Interference-aware channel allocation ; Interference-coupled RAN ; Isolation ; RAN slicing ; Atate-dependent queues ; 5G mobile communication systems ; Analytical models ; Benchmarking ; Iterative methods ; Probability distributions ; Queueing theory ; Channel allocation ; Interference-aware ; Interference-coupled radio access network ; Network slicing ; Radio access network slicing ; State-dependent queues ; Queueing networks
  8. Source: IEEE Transactions on Mobile Computing ; Volume 23, Issue 12 , 2024 , Pages 13472-13486 ; 15361233 (ISSN)
  9. URL: https://dl.acm.org/doi/abs/10.1109/TMC.2024.3431194