{'fraction_non_alphanumeric': 0.01874414245548266, 'fraction_numerical': 0.0009372071227741331, 'mean_word_length': 5.173410404624278, '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}}
Pilot Sequence Length and BS Location Optimization in Massive MIMO Heterogeneous Cellular Networks

Heterogeneous networks (HetNets), with low power nodes and distributed antennas will be an integral part of 5G wireless networks. Finding optimum Micro/Pico base station (BS) locations covering all tiers is a challenging issue. Poisson point process (PPP) stochastic model has been adopted to decide the BS location of in cellular networks, where cells have irregular shapes and coverage areas. In this paper, we develop an algorithm to find the optimum location of low power Micro BSs in high demand dense networks to improve signal to interference and noise ratio (SINR). Also, we discuss a novel pilot sequence length optimization technique in multi-tier networks for better performance under real channels to improve sum rate capacity and mean squared error. We have used an analytical model to study the performance of a HetNet massive MIMO system in a rich scattering multipath Rayleigh fading channel using Clarke model and compared it with simulation results.