Wu, Liang, Shen, Yiting, Zhang, Zaichen, Dang, Jian, Liu, Huaping, Wang, Jiangzhou (2020) Receiver Algorithms for Single-Carrier OSM Based High-Rate Indoor Visible Light Communications. IEEE Transactions on Wireless Communications, 19 (2). pp. 1113-1126. ISSN 1536-1276. (doi:10.1109/TWC.2019.2951148) (KAR id:81072)
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Official URL: https://doi.org/10.1109/TWC.2019.2951148 |
Abstract
In intensity-modulation and direct-detection (IM/DD) multiple-input and multiple-output (MIMO) visible light communication (VLC) systems, spatial subchannels are usually correlated, and spatial modulation is a good choice to achieve the advantages of MIMO technology. Peak-to-average power ratio (PAPR) is a key issue in VLCs due to the limited linear dynamic range of light emitting diodes (LEDs). Single-carrier communication systems have a lower PAPR than orthogonal frequency division multiplexing (OFDM) communication systems. However, it is challenging to design a single-carrier spatial modulation for high-rate transmissions because of the time domain intersymbol interference. This paper develops an optical spatial modulation (OSM) scheme based on bipolar pulse amplitude modulation (PAM) and spatial elements for high-rate indoor VLC systems. Multiple data streams can be transmitted simultaneously in the proposed scheme. Based on the transmit strategy, we develop a low-complexity receiver algorithm that achieves better bit-error rate performance than reference schemes, and the proposed OSM scheme has a much lower PAPR than OFDM based OSM schemes. When the spatial subchannels are highly correlated, a spatial area division strategy is applied, and the receiver algorithm is investigated. The symbol-error rate expression of the proposed OSM scheme is derived, and the computational complexity is analyzed.
Item Type: | Article |
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DOI/Identification number: | 10.1109/TWC.2019.2951148 |
Uncontrolled keywords: | High rate, optical spatial modulation (OSM), pulse-amplitude modulation (PAM), visible light communication (VLC) |
Subjects: |
Q Science T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Chao Wang |
Date Deposited: | 30 Apr 2020 15:30 UTC |
Last Modified: | 05 Nov 2024 12:46 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/81072 (The current URI for this page, for reference purposes) |
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