{'fraction_non_alphanumeric': 0.022950819672131147, 'fraction_numerical': 0.002185792349726776, 'mean_word_length': 5.2312925170068025, '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}}
Adaptive power allocation for soft frequency reuse in multi-cell LTE networks

This paper presents a novel power allocation approach for soft frequency reuse (SFR) adopted in a multi-cell LTE network. Based on the fact that major inter-cell interference (ICI) is coordinated by SFR, the proposed power allocation focuses on dealing with mutual interference between cell-edge and cell-center users in the network. It is formulated as an optimization problem, where the performance of cell-edge users is optimized under the condition that desirable performance must be maintained for cell-center users. The optimal solution can be obtained by using the Lagrange decomposition method. Simulation results show that our approach can significantly improve performance of cell-edge users by achieving 20% gain over conventional SFR with average power allocation when higher performance for cell-center users is maintained.