Multi-user sum-rate optimization for visible light communications with lighting constraints
Multi-user sum-rate optimization for visible light communications with lighting constraints
In visible light communication (VLC) systems, white light emitting diodes (LEDs) are used as illumination sources and transmitters simultaneously. Compared to the phosphor-converted LEDs, multi-chip LEDs have higher modulation bandwidth. Consequently, the multi-chip based VLC systems have great potential for high data rate transmission. Since each chip of the multi-chip LEDs can be modulated independently, parallel communication channels are viable for information transmission. In this paper, in order to maximize the multi-user sum-rate for the multi-chip based multi-input single-output VLC systems, an electrical and optical power allocation scheme is proposed in consideration of the luminance, chromaticity, amplitude and bit error rate constraints. From the perspective of human color vision, the chromaticity constraint is defined within a MacAdam ellipse. As a result, the degree of freedom can be achieved by relaxing the chromaticity constraint from a fixed color point to an elliptic region. Numerical results demonstrate that with the increase of the total luminous flux, the maximum sum-rates present an open-down parabolic tendency due to the limited dynamic range of LEDs. Higher data rate can be achieved under higher correlated color temperature (CCT) for the variation of light components. In addition, the simulation results indicate that the shapes of the chromaticity constrained region (either ellipse or quadrangle) have little impact on the multi-user sum-rate at the same CCT.
3943-3952
Jiang, Rui
5222e4f7-e7e1-4aff-a9d0-9fef1db084c2
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Wang, Qi
91220429-39a1-459a-9dfb-20fb90bfa974
Dai, Linglong
a3b9a8e1-777f-4196-a388-969444c7239d
15 August 2016
Jiang, Rui
5222e4f7-e7e1-4aff-a9d0-9fef1db084c2
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Wang, Qi
91220429-39a1-459a-9dfb-20fb90bfa974
Dai, Linglong
a3b9a8e1-777f-4196-a388-969444c7239d
Jiang, Rui, Wang, Zhaocheng, Wang, Qi and Dai, Linglong
(2016)
Multi-user sum-rate optimization for visible light communications with lighting constraints.
Journal of Lightwave Technology, 34 (16), .
(doi:10.1109/JLT.2016.2582928).
Abstract
In visible light communication (VLC) systems, white light emitting diodes (LEDs) are used as illumination sources and transmitters simultaneously. Compared to the phosphor-converted LEDs, multi-chip LEDs have higher modulation bandwidth. Consequently, the multi-chip based VLC systems have great potential for high data rate transmission. Since each chip of the multi-chip LEDs can be modulated independently, parallel communication channels are viable for information transmission. In this paper, in order to maximize the multi-user sum-rate for the multi-chip based multi-input single-output VLC systems, an electrical and optical power allocation scheme is proposed in consideration of the luminance, chromaticity, amplitude and bit error rate constraints. From the perspective of human color vision, the chromaticity constraint is defined within a MacAdam ellipse. As a result, the degree of freedom can be achieved by relaxing the chromaticity constraint from a fixed color point to an elliptic region. Numerical results demonstrate that with the increase of the total luminous flux, the maximum sum-rates present an open-down parabolic tendency due to the limited dynamic range of LEDs. Higher data rate can be achieved under higher correlated color temperature (CCT) for the variation of light components. In addition, the simulation results indicate that the shapes of the chromaticity constrained region (either ellipse or quadrangle) have little impact on the multi-user sum-rate at the same CCT.
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Accepted/In Press date: 15 June 2016
e-pub ahead of print date: 20 June 2016
Published date: 15 August 2016
Organisations:
Southampton Wireless Group
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Local EPrints ID: 400578
URI: http://eprints.soton.ac.uk/id/eprint/400578
ISSN: 0733-8724
PURE UUID: 5599b74f-7950-4d25-b8c3-86319ab59fef
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Date deposited: 19 Sep 2016 13:45
Last modified: 15 Mar 2024 02:22
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Author:
Rui Jiang
Author:
Zhaocheng Wang
Author:
Qi Wang
Author:
Linglong Dai
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