Probabilistic ODMA Receiver with Low-Complexity Algorithm for MIMO Unsourced Random Access
Zhentian Zhang, Jian Dang, Zaichen Zhang
TL;DR
This paper tackles unsourced random access for MIMO systems using pilot-free and pilot-uncoupled ODMA. It introduces a probabilistic receiver that combines low-rank matrix factorization with an AMP-based joint pattern and data detector, initialized by pilot-free alternating minimization, to achieve linear rather than quadratic decoding complexity. The approach yields up to about 13 dB capacity gains over pilot-free baselines and performs robustly in under-determined regimes, while maintaining favorable complexity-capacity trade-offs. The results suggest substantial practical benefits for next-generation massive connectivity, with future work targeting asynchronous transmission and more advanced MIMO configurations.
Abstract
In this work, we present the design for both pilot-uncoupled and pilot-free on-off multiple access (ODMA) receivers in unsourced random access (URA) for multiple-input multiple-output (MIMO) systems. Unlike pilot-coupled ODMA, where on-off patterns are linked to pilot selection, pilot-uncoupled and pilot-free ODMA reduce transmission redundancy but face challenges in processing complexity and capacity performance. The joint pattern and data detector (JPDD) design is critical for these schemes, but the current JPDD algorithm has high complexity with quadratic computational costs. To address this, we propose a low-complexity detector based on approximate message passing (AMP), which offers linear complexity, providing reduced cost and improved performance in the under-determined linear regression case. Decoding is initialized via pilot-free matrix factorization through alternating minimization, resolving phase and scalar ambiguities. Compared to existing pilot-free schemes, the proposed method achieves a 13 dB improvement and favorable trade-offs in complexity and capacity performance when compared to benchmarks.
