{'fraction_non_alphanumeric': 0.02525832376578645, 'fraction_numerical': 0.0, 'mean_word_length': 5.656488549618321, '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}}
Dynamic subcarrier sharing algorithms for uplink OFDMA resource allocation

In this paper, the use of Multi-antenna based Dynamic Subcarrier Sharing (MDSS) algorithms for maximizing the total capacity of an uplink OFDMA (Orthogonal Frequency Division Multiple Access) system are investigated. By having multiple antennas at the base station (BS), we formulate a capacity optimization problem with the introduced group constraint (GPC). This optimization problem is under constraints on transmitted power of each user, bit error rate (BER), equal fairness and restricted subcarrier sharing GPC. We then propose two MDSS algorithms to solve this problem with relatively low computational complexity. Simulation results show that the proposed algorithms, as new methods to adaptively allocate resources to users, can enhance the system capacity and rate fairness among user.