MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks
In this article, three novel systems for wireless sensor networks based on Alamouti decoding were investigated and then compared, which are Alamouti space–time block coding multiple-input single-output/multiple-input multiple-output multicarrier modulation (MCM) system, extended orthogonal space–tim...
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| Format: | Article |
| Language: | English |
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Wiley
2020-06-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720912950 |
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| author | Ahmad AA Solyman Hani Attar Mohammad R Khosravi Baki Koyuncu |
| author_facet | Ahmad AA Solyman Hani Attar Mohammad R Khosravi Baki Koyuncu |
| author_sort | Ahmad AA Solyman |
| collection | DOAJ |
| description | In this article, three novel systems for wireless sensor networks based on Alamouti decoding were investigated and then compared, which are Alamouti space–time block coding multiple-input single-output/multiple-input multiple-output multicarrier modulation (MCM) system, extended orthogonal space–time block coding multiple-input single-output MCM system, and multiple-input multiple-output system. Moreover, the proposed work is applied over multiple-input multiple-output systems rather than the conventional single-antenna orthogonal chirp division multiplexing systems, based on the discrete fractional cosine transform orthogonal chirp division multiplexing system to mitigate the effect of frequency-selective and time-varying channels, using low-complexity equalizers, specifically by ignoring the intercarrier interference coming from faraway subcarriers and using the LSMR iteration algorithm to decrease the equalization complexity, mainly with long orthogonal chirp division multiplexing symbols, such as the TV symbols. The block diagrams for the proposed systems are provided to simplify the theoretical analysis by making it easier to follow. Simulation results confirm that the proposed multiple-input multiple-output and multiple-input single-output orthogonal chirp division multiplexing systems outperform the conventional multiple-input multiple-output and multiple-input single-output orthogonal frequency division multiplexing systems. Finally, the results show that orthogonal chirp division multiplexing exhibited a better channel energy behavior than classical orthogonal frequency division multiplexing, thus improving the system performance and allowing the system to decrease the equalization complexity. |
| format | Article |
| id | doaj-art-f0189301d77d4e71bde7289d6c1d1a61 |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2020-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-f0189301d77d4e71bde7289d6c1d1a612025-08-20T03:06:00ZengWileyInternational Journal of Distributed Sensor Networks1550-14772020-06-011610.1177/1550147720912950MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networksAhmad AA Solyman0Hani Attar1Mohammad R Khosravi2Baki Koyuncu3Department of Electrical and Electronics Engineering, Istanbul Gelisim University, Istanbul, TurkeyDepartment of Energy Engineering, Zarqa University, Zarqa, JordanDepartment of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, IranDepartment of Electrical and Electronics Engineering, Istanbul Gelisim University, Istanbul, TurkeyIn this article, three novel systems for wireless sensor networks based on Alamouti decoding were investigated and then compared, which are Alamouti space–time block coding multiple-input single-output/multiple-input multiple-output multicarrier modulation (MCM) system, extended orthogonal space–time block coding multiple-input single-output MCM system, and multiple-input multiple-output system. Moreover, the proposed work is applied over multiple-input multiple-output systems rather than the conventional single-antenna orthogonal chirp division multiplexing systems, based on the discrete fractional cosine transform orthogonal chirp division multiplexing system to mitigate the effect of frequency-selective and time-varying channels, using low-complexity equalizers, specifically by ignoring the intercarrier interference coming from faraway subcarriers and using the LSMR iteration algorithm to decrease the equalization complexity, mainly with long orthogonal chirp division multiplexing symbols, such as the TV symbols. The block diagrams for the proposed systems are provided to simplify the theoretical analysis by making it easier to follow. Simulation results confirm that the proposed multiple-input multiple-output and multiple-input single-output orthogonal chirp division multiplexing systems outperform the conventional multiple-input multiple-output and multiple-input single-output orthogonal frequency division multiplexing systems. Finally, the results show that orthogonal chirp division multiplexing exhibited a better channel energy behavior than classical orthogonal frequency division multiplexing, thus improving the system performance and allowing the system to decrease the equalization complexity.https://doi.org/10.1177/1550147720912950 |
| spellingShingle | Ahmad AA Solyman Hani Attar Mohammad R Khosravi Baki Koyuncu MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks International Journal of Distributed Sensor Networks |
| title | MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks |
| title_full | MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks |
| title_fullStr | MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks |
| title_full_unstemmed | MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks |
| title_short | MIMO-OFDM/OCDM low-complexity equalization under a doubly dispersive channel in wireless sensor networks |
| title_sort | mimo ofdm ocdm low complexity equalization under a doubly dispersive channel in wireless sensor networks |
| url | https://doi.org/10.1177/1550147720912950 |
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