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Link to original content: https://doi.org/10.48550/arXiv.2304.14546
[2304.14546] BiSPARCs for Unsourced Random Access in Massive MIMO
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Electrical Engineering and Systems Science > Signal Processing

arXiv:2304.14546 (eess)
[Submitted on 27 Apr 2023]

Title:BiSPARCs for Unsourced Random Access in Massive MIMO

Authors:Patrick Agostini, Zoran Utkovski, Slawomir Stanczak
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Abstract:This paper considers the massive MIMO unsourced random access problem in a quasi-static Rayleigh fading setting. The proposed coding scheme is based on a concatenation of a "conventional" channel code (such as, e.g., LDPC) serving as an outer code, and a sparse regression code (SPARC) serving as an inner code. The scheme combines channel estimation, single-user decoding, and successive interference cancellation in a novel way. The receiver performs joint channel estimation and SPARC decoding via an instance of a bilinear generalized approximate message passing (BiGAMP) based algorithm, which leverages the intrinsic bilinear structure that arises in the considered communication regime. The detection step is followed by a per-user soft-input-soft-output (SISO) decoding of the outer channel code in combination with a successive interference cancellation (SIC) step. We show via numerical simulation that the resulting scheme achieves stat-of-the-art performance in the massive connectivity setting, while attaining comparatively low implementation complexity.
Subjects: Signal Processing (eess.SP); Information Theory (cs.IT)
Cite as: arXiv:2304.14546 [eess.SP]
  (or arXiv:2304.14546v1 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2304.14546

Submission history

From: Patrick Agostini [view email]
[v1] Thu, 27 Apr 2023 21:55:27 UTC (277 KB)
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