Channel Modeling and Signal Processing for Array-Based Visible Light Communication System Under Link Misalignment

We address the lens optimization and signal processing for array-based multiple-input multiple-output (MIMO) visible light communication, especially under link misalignment. employ one concave convex to separate lights from different light-emitting diodes (LEDs), optimize structure minimize condition number of channel gain matrix. In this way, emitted by LEDs can be separated well each other. To further mitigate interference transmitter/receiver mobility, we propose two approaches based on successive cancellation (SIC) multi-layer coding (MC), along with maximum ratio combining (MRC) interference/signal decoding. It is demonstrated that reconstructed eliminated through SIC, MC partially decode better reconstruct desirable message. The proposed significantly improve sum rate in both alignment misalignment cases. Moreover, achieve higher rate, case