{'fraction_non_alphanumeric': 0.016861219195849545, 'fraction_numerical': 0.0025940337224383916, 'mean_word_length': 5.892857142857143, '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}}
A Geometry-Based Stochastic MIMO Channel Model for 4G Indoor Broadband Packet Access

We present a MIMO channel modelling approach that combines the advantages of geometry-based and stochastic elements. The channel is characterised by a time- and delay-dependent MIMO channel matrix that contains the impulse responses from each transmit to each receive antenna (for both polarisations), calculated from dual-polarised doubledirectional wave propagation. Based on 5GHz indoor measurements it captures all essential channel parameters of a broadband MIMO system for packet access, while providing reasonable simulation times for the development of MIMO transceiver algorithms with arbitrary antenna array configurations in three-dimensional environments with interference.