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With the capability of reconfiguring the wireless electromagneticenvironment, intelligent reflecting surface (IRS) is a new paradigm fordesigning future wireless communication systems. In this paper, we consideroptical IRS for improving the performance of visible light communication (VLC)under a multiple-input and multiple-output (MIMO) setting. Specifically, wefocus on the downlink communication of an indoor MIMO VLC system and aim tominimize the mean square error (MSE) of demodulated signals at the receiver. Tothis end, the MIMO channel gain of the IRS-aided VLC is first derived under thepoint source assumption, based on which the MSE minimization problem is thenformulated subject to the emission power constraints. Next, we propose analternating optimization algorithm, which decomposes the original problem intothree subproblems, to iteratively optimize the IRS configuration, the precodingand detection matrices for minimizing the MSE. Moreover, theoretical analysison the performance of the proposed algorithm in high and low signal-to-noiserate (SNR) regimes is provided, revealing that the joint optimization processcan be simplified in such special cases, and the algorithm's convergenceproperty and computational complexity are also discussed. Finally, numericalresults show that IRS-aided schemes significantly reduce the MSE as compared totheir counterparts without IRS, and the proposed algorithm outperforms otherbaseline schemes.

Intelligent Reflecting Surface for MIMO VLC: Joint Design of Surface Configuration and Transceiver Signal Processing