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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Article . 2025
License: CC BY NC ND
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Traffic Steering Based Anomaly Prevention for User Request Provision in 6G Network Slices

Authors: Ming, Zhao; Dong, Kai; Taleb, Tarik;

Traffic Steering Based Anomaly Prevention for User Request Provision in 6G Network Slices

Abstract

Network slices face challenges in supporting dynamic requests from user equipments (UEs) due to the resource constraints at the edge devices. This may result in potential anomalies due to resource unavailability or latency spikes. Existing schemes are hard to apply due to the lack of flexible steering of UE requests and multiplexed provisioning strategies. In this paper, we present a novel request provisioning model and propose a traffic steering framework to prevent anomalies and reduce the cost of serving normal UEs. Specifically, we categorize the UE requests into stateful and stateless types and utilize a multiroute resource provisioning strategy to address the UE anomalies. Additionally, the framework incorporates bandwidth-aware route selection and load balancing across multiple routes to improve the service bandwidth for UEs. Simulation results demonstrate that the proposed framework effectively reduces both the number of anomaly UEs and cost compared to existing baselines.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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