Performance Analysis of Adaptive Generalized Spatial Modulation

Generalized Spatial Modulation (GSM) plays a vital role in MIMO wireless system transmission technology that advances the concept of spatial modulation (SM) and also improves SM's spectral efficiency. In this paper, we proposed Adaptive Generalized Spatial Modulation (AGSM) using Huffman Coding. Transmitter can decide active antenna combination probability mode based on feedback information which is obtained from receiver using Huffman mapping. The optimal active antenna combination probability is derived when Gaussian distributed input signal is applied by optimizing channel capacity. For optimization, lower and upper bound expressions for channel capacity for Adaptive Generalized Spatial Modulation (AGSM) Model is derived. In each SNR region, finding optimum active antenna combination probability mode through applying input as discrete QAM signal by minimizing symbol error rate performance. Numerical results show that our extended adaptive generalized transmission scheme provides better performance over Generalized Spatial Modulation (GSM).