Augmented Reality Based on Network Physics and 6G for Immersive Experience of Digital Media Art

To improve how digital media art is delivered and experienced, this study proposed a novel way to combine the unique capabilities of 6G networks with the effective Hybrid Neural Network Augmented Physics-based Models (HYNNA-PBM). This research presents a system where HYNNA-PBM plays an essential role in augmenting AR applications' realism, interaction, and involvement by using the exceptional speed, bandwidth, and low latency of 6G technologies combined with advanced network physics principles. The proposed method solves the essential difficulties in producing incredibly realistic AR environments, which include dynamic light rendering, real-time physical interactions and complex environmental simulations by effectively combining neural networks with physics-based models. This method improves the user experience with digital media art by allowing the smooth combination of virtual elements with the real world, significantly increasing AR simulations' accuracy and efficiency. In addition to entertainment, this technology provides creative applications in design, education, and cultural preservation by allowing absorbing, cooperative experiences previously unavailable in education and protecting culture. The system's ability to provide highly complete experiences is shown by experimental results displayed through digital media artworks. This highlights the innovative possibilities of combining HYNNA-PBM with 6G technology in AR applications. With the borders between the virtual and the real-world loss, this research opens up new opportunities for digital art and entertainment that provide never-before-seen levels of involvement and interest.