Feasibility of ITU‑T Y.3207 INCA in Dynamic NTN Environments

Determine the feasibility of the ITU‑T Y.3207 Integrated Network Control Architecture (INCA) centralized control framework in dynamic non‑terrestrial network environments, accounting for latency, signaling overhead, and onboard computational constraints that may impede practical deployment.

Background

The paper surveys existing integration frameworks across terrestrial and satellite systems and notes that ITU‑T Y.3207 (2024) defines the Integrated Network Control Architecture (INCA) for Fixed, Mobile, and Satellite Convergence (FMSC), proposing a centralized control model.

However, unlike relatively stable terrestrial deployments, non‑terrestrial networks experience high dynamics, intermittent connectivity, and strict timing/compute limitations. The authors explicitly state that feasibility of applying a centralized INCA approach to such environments is uncertain due to latency, overhead, and computational constraints, motivating investigation of practical viability and design adaptations.

References

ITU-T Y.3207 (2024) defines INCA for Fixed, Mobile, and Satellite Convergence (FMSC), proposing a centralized control framework, but its feasibility in dynamic NTN environments remains uncertain due to latency, overhead, and computational constraints.

— Space-O-RAN: Enabling Intelligent, Open, and Interoperable Non Terrestrial Networks in 6G  (2502.15936 - Baena et al., 21 Feb 2025) in Section 2 (Background and Related Work)

Despite their promise, these NTN-integrated architectures raise complex challenges related to latency management, handover coordination, and cross-domain interoperability, which remain open research problems in current 6G proposals.

— Challenges and Opportunities in the Transition from 5G to 6G Networks  (2609.12147 - Tahboub et al., 10 Sep 2026) in Section V.B, “Architectural Evolution and Interoperability Gaps”

All three cases remain single-satellite; constellation-scale orchestration is still open (all cases; Section~6 and the roadmap).

— AI Infrastructure in Space: How Far Can We Go?  (2608.21034 - Li et al., 21 Aug 2026) in Section 5, subsection “Lessons Learned”