Channel Capacity and Power Allocation of MIMO Visible Light Communication System

In this paper, the channel capacity of the multiple-input multiple-output (MIMO) visible light communication (VLC) system is investigated under the peak, average optical and electrical power con-straints. Finding the channel capacity of MIMO VLC is shown to be a mixed integer programming prob-lem. To address this open problem, we propose an inexact gradient projection method to find the chan-nel capacity-achieving discrete input distribution and the channel capacity of MIMO VLC. Also we derive both upper and lower bounds of the capacity of MIMO VLC with the closed-form expressions. Furthermore, by considering practical discrete constellation inputs, we develop the optimal power allocation scheme to maximize transmission rate of MIMO VLC system. Simulation results show that more discrete points are needed to achieve the channel capacity as SNR in-creases. Both the upper and lower bounds of chan-nel capacity are tight at low SNR region. In addition, comparing the equal power allocation, the proposed power allocation scheme can significantly increase the rate for the low-order modulation inputs.

Automated summary

In this paper, the channel capacity of MIMO VLC system under optical and electrical power constraints is investigated. The problem is formulated as a mixed integer programming and an inexact gradient projection method is proposed to find the capacity-achieving discrete input distribution. Both upper and lower bounds of the capacity are derived and an optimal power allocation scheme is developed to maximize transmission rate. Simulation results show the need for more discrete points at higher SNR and the effectiveness of the proposed power allocation scheme for low-order modulation inputs.