With the evolution of interactive art installations towards 4 K/8 K ultra-high-definition streaming and large-scale multi-point interaction, existing 5G networks face challenges in maintaining the "flow state" of the audience due to micro-latency and jitter. While 6G technology is currently in the research and development phase, its theoretical characteristics—such as Terahertz (THz) communication and deterministic low latency—offer a design blueprint for future immersive experiences. This paper proposes a simulation-based optimization framework for multimedia transmission in interactive art. To address the lack of commercial hardware, we constructed a transmission model using the NS-3 simulation platform based on ITU-R IMT-2030 technical indicators and 3GPP channel models. Furthermore, to solve the "split-brain" visual artifacts in distributed display nodes, we introduce a domain-adapted Raft consensus algorithm that prioritizes "narrative synchronization" over eventual consistency. Simulation results demonstrate that the proposed architecture validates the theoretical feasibility of reducing end-to-end latency to the sub-millisecond level (0.1 ms) while ensuring strict frame-level synchronization across distributed nodes. These findings indicate that the proposed framework can effectively minimize the "cognitive gap" between user action and artistic response, providing a quantitative reference for the future synthesis of next-generation networks and digital art.
Hao et al. (Tue,) studied this question.