{'fraction_non_alphanumeric': 0.02702702702702703, 'fraction_numerical': 0.0, 'mean_word_length': 5.242105263157895, '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}}
Fast binary power allocation for uplink distributed cognitive radio networks

In this paper, we present a novel, fast algorithm for allocating the transmit power to the secondary users (SUs) to maximize the total SU throughput in a cognitive radio network (CRN) while maintaining interference to the primary user (PU) within an acceptable range. The problem is formulated so as to apply Karush-Kuhn-Tucker (KKT) conditions to derive a fast, low complexity algorithm which requires less number of floating point operations. The performance of the proposed algorithm is verified by simulations.