A Novel Parallel Artificial Bee Colony Algorithm and Its PAPR Reduction Performance Using SLM Scheme in OFDM and MIMO-OFDM Systems
A Novel Parallel Artificial Bee Colony Algorithm and Its PAPR Reduction Performance Using SLM Scheme in OFDM and MIMO-OFDM Systems
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DOI：
10.1109/lcomm.2015.2465967
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发表时间：
2015-08
期刊：
影响因子：
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通讯作者：
N. Tașpinar;Mahmut Yıldırım
中科院分区：
文献类型：
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作者：
N. Tașpinar;Mahmut Yıldırım
在这封信中，我们提出了一个并行人工蜂群（P-ABC）算法的基础上，一个新的搜索策略。在正交频分复用（OFDM）和多输入多输出（MIMO）-OFDM系统中，采用选择映射（SLM）方案，对P-ABC的峰均功率比（PAPR）降低性能进行了测试。此外，标准ABC和两个不同的修改ABC算法- ABC/最佳/1和修改ABC/最佳/1 -提出了SLM计划。仿真结果表明，该算法具有较低的计算复杂度和较好的PAPR抑制性能。
In this letter, we propose a parallel artificial bee colony (P-ABC) algorithm based on a new search strategy. Performance of the P-ABC is tested for peak-to-average power ratio (PAPR) reduction problem using selected mapping (SLM) scheme in both orthogonal frequency division multiplexing (OFDM) and multiple-input multiple-output (MIMO)-OFDM systems. Moreover, standard ABC and two different modified ABC algorithms - ABC/best/1 and modified ABC/best/1 - are proposed for the SLM scheme. Simulation results show that the proposed P-ABC provides good PAPR reduction and bit-error-rate performances with low computational complexity.