Abstract
AbstractThis chapter explores effective solutions for the joint activity and data detection problem to enable grant-free massive IoT access. For the typical massive connectivity, we propose a beacon-aided grant-free access scheme, in which two orthogonal approximate message passing-based detection algorithms are designed to leverage the structured sparsity of uplink massive access signals among multiple time slots. Furthermore, channel coding and successive interference cancellation are adopted to improve the detection performance. Finally, the state evolution of the proposed algorithms is derived to predict the performance theoretically. Simulation results verify that the proposed solutions outperform various state-of-the-art baseline schemes, achieving low-latency random access and high-reliable massive IoT connectivity with overloading.
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