Power and Offset Allocation for Spatial-Multiplexing MIMO System with Rate Adaptation for Optical Wireless Channels 


Vol. 36,  No. 1, pp. 8-18, Jan.  2011


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  Abstract

Visible light communication (VLC) using optical sources which can be simultaneously utilized for illumination and communication is currently an attractive option for wireless personal area network. Improving the data rate in optical wireless communication system is challenging due to the limited bandwidth of the optical sources. In this paper, we design the singular value decomposition (SVD)-based multiplexing multi-input multi-output (MIMO) system to support two data streams in optical wireless channels. In order to improve the spectral efficiency, the rate adaptation using multi-level pulse amplitude modulation (PAM) is applied according to the channel condition and we propose the method to allocate the optical power, the offset and the size of modulation scheme theoretically under the constraints of the nonnegativity of the modulated signals, the aggregate optical power and the bit error rate (BER) requirement. The simulation results show that the proposed allocation method gives the better performance than the method to allocate the optical power equally for each data stream.

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  Cite this article

[IEEE Style]

K. Park and Y. Ko, "Power and Offset Allocation for Spatial-Multiplexing MIMO System with Rate Adaptation for Optical Wireless Channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 1, pp. 8-18, 2011. DOI: .

[ACM Style]

Ki-Hong Park and Young-Chai Ko. 2011. Power and Offset Allocation for Spatial-Multiplexing MIMO System with Rate Adaptation for Optical Wireless Channels. The Journal of Korean Institute of Communications and Information Sciences, 36, 1, (2011), 8-18. DOI: .

[KICS Style]

Ki-Hong Park and Young-Chai Ko, "Power and Offset Allocation for Spatial-Multiplexing MIMO System with Rate Adaptation for Optical Wireless Channels," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 1, pp. 8-18, 1. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880