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

TL;DR

This paper presents algorithms for detecting and identifying service interference among network slices in 5G/6G systems using end-to-end performance measurements, ensuring quality assurance.

Contribution

It introduces new algorithms for timely detection and identification of service interference among network slices based solely on key performance indicators.

Findings

Algorithms accurately identify interference sources with sufficient measurements.

Effective detection even under weak to moderate interference conditions.

Potential for proactive interference management in 5G/6G networks.

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 existing NSs in a timely manner and isolate the potential issues before they can lead to violations of service quality agreements. We study the problem of (a) detecting service interference among NSs in 5G/6G systems and (b) identifying misbehaving NSs and other affected NSs, only using E2E key performance indicator measurements, and propose new algorithms. 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 algorithms can correctly identify most of shared resources that can lead to service interference among the NSs that utilize the shared resources and misbehaving NSs that can cause potentially adverse service interference and affected NSs.