PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems
The transceiver combination technology, of orthogonal frequency division multiplexing (OFDM) with multiple-input multiple-output (MIMO), provides a viable alternative to enhance the quality of service and simultaneously to achieve high spectral efficiency and data rate for wireless mobile communicat...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/3075890 |
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| author | Lahcen Amhaimar Saida Ahyoud Ali Elyaakoubi Abdelmoumen Kaabal Kamal Attari Adel Asselman |
| author_facet | Lahcen Amhaimar Saida Ahyoud Ali Elyaakoubi Abdelmoumen Kaabal Kamal Attari Adel Asselman |
| author_sort | Lahcen Amhaimar |
| collection | DOAJ |
| description | The transceiver combination technology, of orthogonal frequency division multiplexing (OFDM) with multiple-input multiple-output (MIMO), provides a viable alternative to enhance the quality of service and simultaneously to achieve high spectral efficiency and data rate for wireless mobile communication systems. However, the high peak-to-average power ratio (PAPR) is the main concern that should be taken into consideration in the MIMO-OFDM system. Partial transmit sequences (PTSs) is a promising scheme and straightforward method, able to achieve an effective PAPR reduction performance, but it requires an exhaustive search to find the optimum phase factors, which causes high computational complexity increased with the number of subblocks. In this paper, a reduced computational complexity PTS scheme is proposed, based on a novel swarm intelligence algorithm, called fireworks algorithm (FWA). Simulation results confirmed the adequacy and the effectiveness of the proposed method which can effectively reduce the computation complexity while keeping good PAPR reduction. Moreover, it turns out from the results that the proposed PTS scheme-based FWA clearly outperforms the hottest and most important evolutionary algorithm in the literature like simulated annealing (SA), particle swarm optimization (PSO), and genetic algorithm (GA). |
| format | Article |
| id | doaj-art-7587d95000e04325a77973e121329fdb |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-7587d95000e04325a77973e121329fdb2025-02-03T06:05:46ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552018-01-01201810.1155/2018/30758903075890PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM SystemsLahcen Amhaimar0Saida Ahyoud1Ali Elyaakoubi2Abdelmoumen Kaabal3Kamal Attari4Adel Asselman5Optics & Photonics Team, Faculty of Sciences, Abdelmalek Essaadi University, Tétouan, MoroccoInformation Technology and Systems Modeling Team, Faculty of Sciences, Abdelmalek Essaadi University, Tétouan, MoroccoOptics & Photonics Team, Faculty of Sciences, Abdelmalek Essaadi University, Tétouan, MoroccoOptics & Photonics Team, Faculty of Sciences, Abdelmalek Essaadi University, Tétouan, MoroccoOptics & Photonics Team, Faculty of Sciences, Abdelmalek Essaadi University, Tétouan, MoroccoOptics & Photonics Team, Faculty of Sciences, Abdelmalek Essaadi University, Tétouan, MoroccoThe transceiver combination technology, of orthogonal frequency division multiplexing (OFDM) with multiple-input multiple-output (MIMO), provides a viable alternative to enhance the quality of service and simultaneously to achieve high spectral efficiency and data rate for wireless mobile communication systems. However, the high peak-to-average power ratio (PAPR) is the main concern that should be taken into consideration in the MIMO-OFDM system. Partial transmit sequences (PTSs) is a promising scheme and straightforward method, able to achieve an effective PAPR reduction performance, but it requires an exhaustive search to find the optimum phase factors, which causes high computational complexity increased with the number of subblocks. In this paper, a reduced computational complexity PTS scheme is proposed, based on a novel swarm intelligence algorithm, called fireworks algorithm (FWA). Simulation results confirmed the adequacy and the effectiveness of the proposed method which can effectively reduce the computation complexity while keeping good PAPR reduction. Moreover, it turns out from the results that the proposed PTS scheme-based FWA clearly outperforms the hottest and most important evolutionary algorithm in the literature like simulated annealing (SA), particle swarm optimization (PSO), and genetic algorithm (GA).http://dx.doi.org/10.1155/2018/3075890 |
| spellingShingle | Lahcen Amhaimar Saida Ahyoud Ali Elyaakoubi Abdelmoumen Kaabal Kamal Attari Adel Asselman PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems Journal of Electrical and Computer Engineering |
| title | PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems |
| title_full | PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems |
| title_fullStr | PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems |
| title_full_unstemmed | PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems |
| title_short | PAPR Reduction Using Fireworks Search Optimization Algorithm in MIMO-OFDM Systems |
| title_sort | papr reduction using fireworks search optimization algorithm in mimo ofdm systems |
| url | http://dx.doi.org/10.1155/2018/3075890 |
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