TY - CONF T1 - Neural Network Aided Computation of Generalized Spatial Modulation Capacity T2 - 27th European Signal Processing Conference (EUSIPCO) Y1 - 2019 A1 - Anxo Tato A1 - Carlos Mosquera A1 - Pol Henarejos A1 - Ana Pérez-Neira KW - Generalized Spatial Modulation KW - Index Modulations KW - Machine Learning KW - Multilayer Feedforward Neural Network KW - Polarized Modulation AB -

Generalized Spatial Modulation (GSM) is being considered for future high-capacity and energy efficient terrestrial networks. A variant such as Polarized Modulation (PMod) has also a role in Dual Polarization Mobile Satellite Systems. The implementation of adaptive GSM systems requires fast methods to evaluate the channel dependent GSM capacity, which amounts to solve multi-dimensional integrals without closed-form solutions. For this purpose, we propose the use of a Multilayer Feedforward Neural Network and an associated feature selection algorithm. The resulting method is highly accurate and with much lower complexity than alternative numerical methods.

JF - 27th European Signal Processing Conference (EUSIPCO) CY - A Coruña (Spain) ER -