Enabling On-demand Guaranteed QoS for Real Time Video Streaming from Vehicles in 5G Advanced with CAPIF & NEF APIs
Pietro Piscione, Leonardo Lossi, Maziar Nekovee, Chathura Galkandage, Phil O Connor, Simon Davies

TL;DR
This paper demonstrates a PoC integrating 5G Advanced network functions with CAPIF and NEF APIs to enable dynamic, on-demand QoS adjustments for real-time vehicle video streaming, improving latency and resource use.
Contribution
It introduces a novel integration of 5G network functions with CAPIF and NEF APIs for automotive video streaming with real-time QoS adaptation.
Findings
Successful implementation of QoS monitoring and adaptation for vehicle video streams.
Traffic redirection to edge improves latency and resource efficiency.
Demonstrates practical use of 3GPP NEF APIs in automotive scenarios.
Abstract
This paper presents the design and implementation of a Proof of Concept (PoC) that demonstrates how 5G Advanced Network Functions can be integrated with the Common API Framework (CAPIF) to support enhanced connectivity for automotive applications. The PoC shows the continuous monitoring of the mobile network performance and the on-demand and dynamic adaptation of Quality of Service (QoS) for selected 5G User Equipment (UE) video streaming traffic flows using standard 3GPP Network Exposure Function (NEF) APIs exposed via CAPIF. Moreover, traffic flows are redirected to the edge to improve latency and optimize network resource utilization.
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Taxonomy
TopicsVehicular Ad Hoc Networks (VANETs) · Image and Video Quality Assessment · Software-Defined Networks and 5G
