Proactive caching and personalized delivery mechanism of heterogeneous content for MAR applications in the Metaverse

Addressing the issues of heterogeneous data content transmission and response latency in mobile augmented reality (MAR) applications, a proactive caching and personalized delivery mechanism of heterogeneous content for MAR applications in the metaverse was proposed. Firstly, considering user characteristics and edge node service capabilities, a user behavior and resource aware edge collaboration service domain (ECSD) construction method was proposed. Then, based on the ECSD, heterogeneous content pre-caching mechanisms based on storage space division and user preference prediction were designed. Specially, by introducing the personalized recommendation mechanism of foreground content, a differentiated delivery strategy of foreground content was designed. Simulation results show that the proposed mechanism outperforms NCPCR, CCS-AGP, and AIEC-RSC strategy in terms of cache hit rate, average response latency for foreground content and heterogeneous content.