Labrador, JosmaryCastro-Castro, Paula-MaríaDapena, AdrianaVázquez Araújo, Francisco Javier2024-11-062024-11-062017-05-27Labrador, J., Castro, P.M., Dapena, A., Vazquez-Araujo, F.J. (2017). Adapting Side Information to Transmission Conditions in Precoding Systems. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science, vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_321611-33490302-9743http://hdl.handle.net/2183/39951The conference was hold in A Coruña, Spain, June 19-23, 2017[Abstract]: This work proposes an hybrid precoding method in a Multiple-Input/Multiple-Output Frequency Division Duplex (MIMO FDD) system with the objective of reducing the load associated to transmit side information needed to adapt precoding matrices in both the transmitter and the receiver. The type of precoding is determined at the transmitter by using a simple rule that takes into account a receive Signal–to–Noise Ratio (SNR) estimate. The receiver computes the magnitude of the channel level fluctuations and determines the time instants when long pilot sequences are needed to estimate the precoding matrices. Using a low cost feedback channel, the receiver indicates to the transmitter both the type of precoder and transmit frames to be used.eng© 2017 Springer International Publishing AGHybrid precodingMIMO FDD systemsSignal-to-Noise Ratio (SNR)Feedback channelconference outputopen access