Detection of Performance Interference Among Network Slices in 5G/6G Systems

Recent studies showed that network slices (NSs), which are logical networks supported by shared physical networks, can experience service interference due to sharing of physical and virtual resources. Thus, from the perspective of providing end-to-end (E2E) service quality assurance in 5G/6G systems, it is crucial to discover possible service interference among the existing NSs in a timely manner and isolate potential issues before they can lead to violations of service quality agreements. We study the problem of detecting service interference among NSs in 5G/6G systems, only using E2E key performance indicator measurements, and propose a new algorithm. Our numerical studies demonstrate that, even when the service interference among NSs is weak to moderate, provided that a reasonable number of measurements are available, the proposed algorithm can correctly identify most of shared resources that can cause service interference among the NSs.

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Published
2025-03-19
DOI
https://doi.org/10.1109/ciss64860.2025.10944689
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

Detection of Performance Interference Among Network Slices in 5G/6G Systems

Richard J. La, Tao Zhang, Van-Sy Mai
Advanced MIMO Systems Optimization
article

Detection of Performance Interference Among Network Slices in 5G/6G Systems

Richard J. La, Tao Zhang, Van-Sy Mai
article en

Abstract

Recent studies showed that network slices (NSs), which are logical networks supported by shared physical networks, can experience service interference due to sharing of physical and virtual resources. Thus, from the perspective of providing end-to-end (E2E) service quality assurance in 5G/6G systems, it is crucial to discover possible service interference among the existing NSs in a timely manner and isolate potential issues before they can lead to violations of service quality agreements. We study the problem of detecting service interference among NSs in 5G/6G systems, only using E2E key performance indicator measurements, and propose a new algorithm. Our numerical studies demonstrate that, even when the service interference among NSs is weak to moderate, provided that a reasonable number of measurements are available, the proposed algorithm can correctly identify most of shared resources that can cause service interference among the NSs.

Communications Technology Laboratory (US)
Openalex Percentile: Top 95%
Advanced MIMO Systems Optimization
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Detection of Performance Interference Among Network Slices in 5G/6G Systems — Richard J. La, Tao Zhang, et al. · (2025) | TGRS Research Map | TGRS