Removal of Small Weight Stopping Sets for Asynchronous Unsourced Multiple Access
Frederik Ritter, Jonathan Mandelbaum, Alexander Fengler, Holger Jäkel, Laurent Schmalen
TL;DR
This work studies the error floor in frame-asynchronous two-user unsourced MACs (AU-BAC) caused by small stopping sets in the joint factor graph. It introduces a column-permutation algorithm to completely avoid the smallest stopping sets (4SET) for all delays $\tau \ge 1$, leveraging a necessary condition based on a unique total distance multiset $\mathcal{D}$ and combining with PEG girth optimization for further gains. Numerical results show substantial improvements in PUPE, including almost two orders of magnitude in noiseless channels and up to a factor of $84.2$ at large block lengths when using PEG with degree-one VN stopping-set removal, relative to RCC. The findings highlight the critical role of joint-graph structure in asynchronous unsourced MACs and provide practical design rules to eliminate stopping-set-induced error floors through PCM permutation and structured LDPC constructions.
Abstract
In this paper, we analyze the formation of small stopping sets in joint factor graphs describing a frame-asynchronous two-user transmission. Furthermore, we propose an algorithm to completely avoid small stopping sets in the joint factor graph over the entire range of symbol delays. The error floor caused by these stopping sets is completely mitigated. Our key observation is that, while the order of bits in the codeword is irrelevant in a single-user environment, it turns out to be crucial in an asynchronous, unsourced two-user system. Subsequently, our algorithm finds a reordering of variable nodes which avoids the smallest stopping set in the joint graph. We show that further improvements can be achieved when girth optimization of the single-user graphs by progressive edge growth (PEG) is used in combination with our proposed algorithm. Starting with a randomized code construction with optimized degree distribution, our simulation results show that PEG followed by the proposed algorithm can improve the average per user probability of error in a noiseless channel by almost two orders of magnitude for a broad range of frame delays.
