Preamble parallelization-based random access management for heterogeneous IoT system in metaverse
Ziming Guo, Xu Zhu, Jie Cao, Dazhuo Wang, Agbotiname Lucky Imoize · 2024
Metaverse is an evolving paradigm for the next-generation Internet, which intends to provide 3D immersive experiences and self-sustaining virtual shared space by utilizing a wide range of relevant sensing devices and heterogeneous applications, especially in the scenario of Internet of Things (IoT). Specifically, in the context of the IoT, accommodating massive connectivity presents significant challenges for random access (RA) networks, primarily due to scalability and diverse quality-of-service requirements, resulting in severe preamble collisions. We propose a novel preamble parallelization-based random access with a colliding preamble reuse scheme applicable to the incoming metaverse paradigm, ensuring massive sensing devices a reliable connectivity within the heterogeneous IoT networks. Our method enhances the RA procedure by allowing machine-type communication devices (MTCDs) to transmit multiple preambles in parallel during the initial step of the RA procedure, increasing the successful access rate. Additionally, MTCDs are empowered to reuse part of colliding preambles by identifying them earlier in the process, thereby improving the preamble utilization ratio for the RA network. Finally, a comprehensive mathematical analysis is summarized, focusing on the RA efficiency, and corroborates our analytical framework through extensive simulations, demonstrating its feasibility and efficacy in supporting massive MTCDs and mitigating preamble collisions.