On the Performance of Adaptive MIMO-OFDM Indoor Visible Light Communications
In this letter, we propose an adaptive indoor multiple input and multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) visible light communication (VLC) system using a receiver module with angular diversity. In order to improve the capacity of indoor MIMO-OFDM VLC systems, tilted...
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Published in | IEEE photonics technology letters Vol. 28; no. 8; pp. 907 - 910 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
15.04.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | In this letter, we propose an adaptive indoor multiple input and multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) visible light communication (VLC) system using a receiver module with angular diversity. In order to improve the capacity of indoor MIMO-OFDM VLC systems, tilted receivers are utilized to increase channel diversity, thus reducing channel correlation. With the help of singular value decomposition-based technique, which decomposes the MIMO VLC channels into independent parallel sub-channels, adaptive resource allocation, namely, bit and power loading, is used for these sub-channels to further improve the proposed system's capacity. Based on a 4 × 4 indoor MIMO-OFDM VLC system, we investigate bit error rate (BER) performance of the proposed adaptive system with different polar angles in two typical indoor scenarios. Numerical simulation results show that with 50-MHz modulation bandwidth, average BER can be improved from 4.97 × 10 -3 to 1.66 × 10 -5 and from 1.90 × 10 -3 to 1.59 × 10 -6 for the two scenarios, respectively. |
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AbstractList | In this letter, we propose an adaptive indoor multiple input and multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) visible light communication (VLC) system using a receiver module with angular diversity. In order to improve the capacity of indoor MIMO-OFDM VLC systems, tilted receivers are utilized to increase channel diversity, thus reducing channel correlation. With the help of singular value decomposition-based technique, which decomposes the MIMO VLC channels into independent parallel sub-channels, adaptive resource allocation, namely, bit and power loading, is used for these sub-channels to further improve the proposed syste's capacity. Based on a [Formula Omitted] indoor MIMO-OFDM VLC system, we investigate bit error rate (BER) performance of the proposed adaptive system with different polar angles in two typical indoor scenarios. Numerical simulation results show that with 50-MHz modulation bandwidth, average BER can be improved from [Formula Omitted] to [Formula Omitted] and from [Formula Omitted] to [Formula Omitted] for the two scenarios, respectively. In this letter, we propose an adaptive indoor multiple input and multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) visible light communication (VLC) system using a receiver module with angular diversity. In order to improve the capacity of indoor MIMO-OFDM VLC systems, tilted receivers are utilized to increase channel diversity, thus reducing channel correlation. With the help of singular value decomposition-based technique, which decomposes the MIMO VLC channels into independent parallel sub-channels, adaptive resource allocation, namely, bit and power loading, is used for these sub-channels to further improve the proposed system's capacity. Based on a 4 × 4 indoor MIMO-OFDM VLC system, we investigate bit error rate (BER) performance of the proposed adaptive system with different polar angles in two typical indoor scenarios. Numerical simulation results show that with 50-MHz modulation bandwidth, average BER can be improved from 4.97 × 10 -3 to 1.66 × 10 -5 and from 1.90 × 10 -3 to 1.59 × 10 -6 for the two scenarios, respectively. |
Author | Lian-Kuan Chen Yang Hong Tesi Wu |
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SubjectTerms | Adaptive systems bit and power loading Bit error rate Decomposition Light emitting diodes MIMO OFDM optical MIMO-OFDM Optical transmitters Receivers singular value decomposition Visible light communications |
Title | On the Performance of Adaptive MIMO-OFDM Indoor Visible Light Communications |
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