{'fraction_non_alphanumeric': 0.037477148080438755, 'fraction_numerical': 0.0, 'mean_word_length': 5.4035087719298245, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
On the Sphere Decoding for MU-MIMO Systems with One-Bit ADCs: Hierarchical Clustering Forest

This paper considers an uplink multiuser multiple-input multiple-output (MU-MIMO) system with one-bit analog-to-digital converters (ADCs). In this system, an optimal weighted minimum distance (wMD) decoding was presented using coding-theoretic perspective. Due to a heavy complexity, its practical use is prohibited. Recently, this problem was addressed by introducing the so-called one-bit sphere decoding (OSDs). However, their major drawback is that, in order to achieve a satisfactory performance, several parameters should be optimized heuristically according to a system configuration. In this paper, we propose an alternative OSD based on hierarchical clustering forest, which can significantly alleviate the problem of parameter optimization. Via simulation results, we demonstrate that the proposed OSD can outperform the existing OSDs (i.e., provide a higher quality on a reduced search space) and achieve the near optimal performance of the wMD decoding with considerably lower complexity.