Srinivas, VA and Naresh, Y and Chockalingam, A (2018) Optimal Precoder for MIMO Schemes in Indoor Wireless VLC Systems. In: 87th IEEE Vehicular Technology Conference, VTC Spring 2018, 3 - 6 June 2018, Porto, pp. 1-5.
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Abstract
In multiple-input multiple-output (MIMO) indoor visible light communication (VLC) systems, channel gains are highly correlated. As a result, the bit error rate (BER) of the system is degraded. To improve the BER performance of the system, we propose two precoders, namely, an optimal precoder and a diagonal precoder for MIMO schemes in VLC systems with Nt light emitting diodes (LED) and Nr photo detectors (PD). The optimal precoder maximizes the minimum euclidean distance of the received signal set under non-negativity and maximum power constraints. The diagonal precoder, on the other hand, induces transmit power imbalance to alleviate the degradation due to channel correlation. We compare the performance of spatial multiplexing (SMP), generalized spatial modulation (GSM), and spatial modulation (SM) MIMO schemes with and without precoding. Our simulation results show that MIMO schemes with the proposed precoders outperform the MIMO schemes without precoder by up to 49 dB at 10-4 BER, and that in the presence of precoding, SMP can outperform GSM and SM.
Item Type: | Conference Paper |
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Publication: | IEEE Vehicular Technology Conference |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Additional Information: | The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc. |
Keywords: | Bit error rate; Error statistics; Image enhancement; Light; Modulation; Signal encoding; Visible light communication, Channel correlation; Highly-correlated; Minimum euclidean distances; Precoding; Received signals; Spatial modulations; Spatial multiplexing; Visible light communications (VLC), MIMO systems |
Department/Centre: | Division of Electrical Sciences > Electrical Communication Engineering |
Date Deposited: | 07 Aug 2022 09:02 |
Last Modified: | 07 Aug 2022 09:02 |
URI: | https://eprints.iisc.ac.in/id/eprint/75446 |
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