Receiver Design for MIMO Unsourced Random Access with SKP Coding

TL;DR

This paper extends SKP coding to MIMO unsourced random access, introducing a Bayesian receiver that outperforms existing methods across various antenna configurations and user counts.

Contribution

It develops a novel MIMO extension of SKP coding and an efficient Bayesian receiver for unsourced random access, addressing complex trilinear factorization challenges.

Findings

Outperforms existing methods in simulations

Effective across various antenna sizes

Handles different active-user numbers

Abstract

In this letter, we extend the sparse Kronecker-product (SKP) coding scheme, originally designed for the additive white Gaussian noise (AWGN) channel, to multiple input multiple output (MIMO) unsourced random access (URA). With the SKP coding adopted for MIMO transmission, we develop an efficient Bayesian iterative receiver design to solve the intended challenging trilinear factorization problem. Numerical results show that the proposed design outperforms the existing counterparts, and that it performs well in all simulated settings with various antenna sizes and active-user numbers.