Adaptive Spatial Modulation Based Visible Light Communications: SER Analysis and Optimization

TL;DR

This paper analyzes the average symbol error rate of adaptive spatial modulation in visible light communication systems and proposes optimization algorithms to enhance performance.

Contribution

It derives a theoretical expression for the average SER in ASM-VLC and introduces two algorithms for optimizing modulation orders to improve system performance.

Findings

Theoretical SER expressions closely match simulation results.

Proposed algorithms outperform existing schemes in VLC performance.

Optimization reduces error rates and enhances communication reliability.

Abstract

Recently, the spatial modulation (SM) technique has been proposed for visible light communication (VLC). This paper investigates the average symbol error rate (SER) for the VLC using adaptive spatial modulation (ASM). In the system, the analysis of the average SER is divided into two aspects: the error probability of the spatial domain and the error probability of the signal domain when the spatial domain is correctly estimated. Based on the two aspects, the theoretical expression of the average SER is derived. To further improve the system performance, an optimization problem is proposed to optimize the modulation orders on the LEDs. The ASM based and the candidate reduction (CR)-ASM based optimization algorithms are proposed to solve the problem, respectively. Numerical results show that the derived theoretical values of the average SER are quite accurate to evaluate the system performance. Moreover, compared with the existing schemes, the proposed two algorithms are better choices for VLC.