Layered Generalized Spatial Modulation in MIMO Wireless Communication

A novel wireless communication system called Layered Generalized Spatial Modulation (L-GSM) is introduced in this paper, specifically designed to significantly enhance both spectral efficiency and energy efficiency in multiple-input multiple-output (MIMO) systems. By integrating the core principles of layered MIMO architectures with Generalized Spatial Modulation (GSM), L-GSM enables a substantial increase in data rates and improves error performance, all while maintaining the critical advantage of low power consumption. To tackle the inherent detection complexities that arise from the increased number of active antennas in this system, we propose two detection methods: an optimal maximum-likelihood (ML) detector and a layered successive interference cancellation (L-SIC) detector. The L-SIC detector is particularly noteworthy as it achieves near-ML performance while drastically reducing the computational complexity associated with ML detection. Additionally, we have derived theoretical expressions that provide insights into the average bit error rate (ABER), system complexity, and energy efficiency of the L-GSM scheme. Extensive comparative analyses with existing modulation techniques reveal that L-GSM offers significantly superior spectral efficiency and error performance, making it a highly competitive option for future wireless communication systems. Our theoretical predictions are further substantiated through rigorous simulation results, which closely align with our analytical findings. These simulations confirm the robustness and effectiveness of the L-GSM system in achieving high levels of performance, particularly in the demanding environments of modern wireless communication system.