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2024 ITU Kaleidoscope Academic Conference

UPFs, NTN, and DN are displayed on the control operation resources to maintain the required end-to-end QoS levels
visualization monitor, whereas the HD video and dynamically, even amidst fluctuating network conditions.
throughput graphs are shown on each UE (similar to those In future work, we will enhance INCA functions to
shown in Fig. 6). incorporate various machine learning and AI algorithms for
We induce network congestion by injecting background predicting network and computing resource demands,
noise traffic using iperf, a widely used network testing tool. allowing proactive adjustments before the QoS degrades.
This traffic is injected into 5GC (central) UPF, routed Additionally, we will develop tools and user interfaces to
through the NTN path, and terminated in the 5GC (edge) simplify the process of the system operation.
UPF. We do not induce congestion in the RAN because its REFERENCES
resources are not controlled by INCA. Therefore, the noise
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utilization reaching nearly 100% (as shown in Fig. 7(a)), [2] K. Liolis et al., “Use cases and scenarios of 5G integrated
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How to boost quality of experience and interoperability,
a new bandwidth allocation value and sends this value to Accra, Ghana, Dec. 2022.
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releasing them when they are redundant.

6. CONCLUSION AND FUTURE WORK

This paper presented the implementation of functional
components and interfaces of the integrated network control
architecture specified in ITU-T Recommendation Y.3207.
It also described the individual network controllers for the
data network, 5G core network, and NTN segments.
Through experimentation, we demonstrated INCA’s
capabilities to create network services on both TN and NTN
segments with required QoS levels. Additionally, we
showed INCA’s capability to monitor computing and
bandwidth resource utilization continuously and adjust

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