Corpus ID: 46969098

Performance of Hierarchical Sparse Detectors for Massive MTC

@article{Wunder2018PerformanceOH,
title={Performance of Hierarchical Sparse Detectors for Massive MTC},
author={G. Wunder and I. Roth and Rick Fritschek and J. Eisert},
journal={ArXiv},
year={2018},
volume={abs/1806.02754}
}
Recently, a new class of so-called \emph{hierarchical thresholding algorithms} was introduced to optimally exploit the sparsity structure in joint user activity and channel detection problems. In this paper, we take a closer look at the user detection performance of such algorithms under noise and relate its performance to the classical block correlation detector with orthogonal signatures. More specifically, we derive a lower bound for the diversity order which, under suitable choice of the… Expand
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