VLC-enabled metaverse system with interference minimization using deep neural networks for digital assets management
摘要
The development of the Metaverse has introduced new challenges in the management and secure exchange of digital assets within quite dynamic and interference-prone situations. The integration of advanced communication technologies, such as Visible Light Communication (VLC) and Deep Neural Networks (DNNs), presents a promising solution for addressing these challenges. This paper proposes a VLC-enabled Metaverse system with interference minimization using DNNs for digital assets management, which combines the high-speed, secure capabilities of VLC with the intelligent optimization potential of DNNs. VLC, as an optical wireless communication method, provides a low-interference, high-bandwidth alternative to traditional wireless technologies, ensuring more reliable communication in the metaverse. The proposed system utilizes DNNs to predict and minimize interference in real-time, optimizing the transfer of digital assets in a seamless and efficient manner. By considering this combination of technologies, the system aims to have better performance, ensuring smooth, secure, and uninterrupted asset exchanges within the Metaverse. The BER improves by approximately 9.07 times and capacity becomes 1.1 times when DNN-based interference suppression is applied at an SNR of 12 dB.