APPLICATION-TRIGGERED QOS ACCELERATION VIA NEF: AN END-TO-END 5G STANDALONE PROOF-OF-CONCEPT

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Authors: Rami Saied AlZaben
Cited by: 0

Abstract

The intensive development of latency-sensitive and interactive digital services cloud gaming, extended reality(XR), real-time user-generated media, etc. have disclosed the constraints of fixed Quality-of-Service (QoS)settings in commercial 5G Standalone (SA) networks. Although 5G has flexible QoS constructs, the lack of anystandardized, application-driven control mechanisms does not allow services to dynamically request and enforcenetwork performance assurances in accordance with real-time Quality of Experience (QoE) needs. The 3GPPNetwork Exposure Function (NEF) bridges this gap by providing application functions (AFs) the ability to exposenetwork capabilities and policy control interfaces to authorized applications, giving applications the ability todirectly impact session behavior using standardized APIs.The paper introduces an operator-grade Proof-of-Concept (PoC) which confirms the practical usefulness of NEFbased QoS exposure and acceleration in a live commercial 5G SA network. The PoC has shown that it supportsan end-to-end control loop whereby an application can make a dynamic request to the NEF to increase QoS whichis then acted on by the Policy Control Function (PCF) and then session updates which are enforced by the SessionManagement Function (SMF) and the User Plane Function (UPF). The analysis compares the baseline best-effortsessions with NEF-assisted sessions in the context of realistic congestion conditions, which confirms the effectiveadjustment of the QoS flows, the parameters of prioritizing and traffic treatment in real-time.The findings validate the fact that NEF-enabled application-driven QoS control can be implemented, be standardscompliant and functionally workable in a commercial 5G environment. Contributing to one of the first empiricalvalidation of NEF-based QoS exposure outside of theoretical models and laboratory testbeds this work hasprovided concrete signaling evidence and quantifiable changes in behavior at the session level. The resultsdemonstrate NEF as the key facilitator of on-demand QoS, service differentiation, and convergence with analyticsdriven automation models in the future, and application-aware network control is the core facility of nextgeneration 5G services.

Fields of Study & Subjects

Image and Video Quality Assessment Network Traffic and Congestion Control IPv6 Mobility Handover Networks Security

Publication details

Journal / source
International Journal of Engineering Technology Research & Management
Publication date
6 January 2026