Neural network based joint spatial and temporal equalization for MIMO-VLC system
The limited bandwidth of white light-emitting diode (LED) limits the achievable data rate in a visible light communication (VLC) system. A number of techniques, including multiple-input-multiple-output (MIMO) system, are investigated to increase the data rate. The high-speed optical MIMO system suff...
| Main Authors: | , , , , , , , , , |
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| Format: | Journal article |
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Institute of Electrical and Electronics Engineers
2019
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| _version_ | 1826272347613560832 |
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| author | Rajbhandari, S Chun, H Faulkner, G Haas, H Xie, E McKendry, JJD Herrnsdorf, J Gu, E Dawson, MD O'Brien, D |
| author_facet | Rajbhandari, S Chun, H Faulkner, G Haas, H Xie, E McKendry, JJD Herrnsdorf, J Gu, E Dawson, MD O'Brien, D |
| author_sort | Rajbhandari, S |
| collection | OXFORD |
| description | The limited bandwidth of white light-emitting diode (LED) limits the achievable data rate in a visible light communication (VLC) system. A number of techniques, including multiple-input-multiple-output (MIMO) system, are investigated to increase the data rate. The high-speed optical MIMO system suffers from both spatial and temporal cross talks. The spatial cross-talk is often compensated by the MIMO decoding algorithm, while the temporal cross talk is mitigated using an equalizer. However, the LEDs have a non-linear transfer function and the performance of linear equalizers are limited. In this letter, we propose a joint spatial and temporal equalization using an artificial neural network (ANN) for an MIMO-VLC system. We demonstrate using a practical imaging/non-imaging optical MIMO link that the ANN-based joint equalization outperforms the joint equalization using a traditional decision feedback as ANN is able to compensate the non-linear transfer function as well as cross talk. |
| first_indexed | 2024-03-06T22:11:07Z |
| format | Journal article |
| id | oxford-uuid:51d801e1-ee5d-441a-84e4-5b23ad348d36 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T22:11:07Z |
| publishDate | 2019 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | oxford-uuid:51d801e1-ee5d-441a-84e4-5b23ad348d362022-03-26T16:22:00ZNeural network based joint spatial and temporal equalization for MIMO-VLC systemJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:51d801e1-ee5d-441a-84e4-5b23ad348d36Symplectic Elements at OxfordInstitute of Electrical and Electronics Engineers2019Rajbhandari, SChun, HFaulkner, GHaas, HXie, EMcKendry, JJDHerrnsdorf, JGu, EDawson, MDO'Brien, DThe limited bandwidth of white light-emitting diode (LED) limits the achievable data rate in a visible light communication (VLC) system. A number of techniques, including multiple-input-multiple-output (MIMO) system, are investigated to increase the data rate. The high-speed optical MIMO system suffers from both spatial and temporal cross talks. The spatial cross-talk is often compensated by the MIMO decoding algorithm, while the temporal cross talk is mitigated using an equalizer. However, the LEDs have a non-linear transfer function and the performance of linear equalizers are limited. In this letter, we propose a joint spatial and temporal equalization using an artificial neural network (ANN) for an MIMO-VLC system. We demonstrate using a practical imaging/non-imaging optical MIMO link that the ANN-based joint equalization outperforms the joint equalization using a traditional decision feedback as ANN is able to compensate the non-linear transfer function as well as cross talk. |
| spellingShingle | Rajbhandari, S Chun, H Faulkner, G Haas, H Xie, E McKendry, JJD Herrnsdorf, J Gu, E Dawson, MD O'Brien, D Neural network based joint spatial and temporal equalization for MIMO-VLC system |
| title | Neural network based joint spatial and temporal equalization for MIMO-VLC system |
| title_full | Neural network based joint spatial and temporal equalization for MIMO-VLC system |
| title_fullStr | Neural network based joint spatial and temporal equalization for MIMO-VLC system |
| title_full_unstemmed | Neural network based joint spatial and temporal equalization for MIMO-VLC system |
| title_short | Neural network based joint spatial and temporal equalization for MIMO-VLC system |
| title_sort | neural network based joint spatial and temporal equalization for mimo vlc system |
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