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 - TY - CONF T1 - Channel dependent Mutual Information in Index Modulations T2 - ICCASP, IEEE International Conference on Acoustics, Speech, and Signal Processing Y1 - 2018 A1 - Pol Henarejos A1 - Ana Pérez-Neira A1 - Anxo Tato A1 - Carlos Mosquera AB -Mutual Information is the metric that is used to perform link adaptation, which allows to achieve rates near capacity. The computation of adaptive transmission modes is achieved by employing the mapping between the Signal to Noise Ratio and the Mutual Information. Due to the high complexity of the computation of the Mutual Information, this process is performed off-line via Monte Carlo simulations, whose results are stored in look-up tables. However, in Index Modulations, such as Spatial Modulation or Polarized Modulation, this is not feasible since the constellation and the Mutual Information are channel dependent and it would require to compute this metric at each time instant if the channel is time varying. In this paper, we propose different approximations in order to obtain a simple closed-form expression that allows to compute the Mutual Information at each time instant and thus, making feasible the link adaptation.
JF - ICCASP, IEEE International Conference on Acoustics, Speech, and Signal Processing ER - TY - CONF T1 - Practical Implementation of Link Adaptation with Dual Polarized Modulation (Best paper award) T2 - 11th International Symposium on Communication Systems, Networks, and Digital Signal Processing. Y1 - 2018 A1 - Anxo Tato A1 - Carlos Mosquera A1 - Pol Henarejos A1 - Ana Pérez-Neira JF - 11th International Symposium on Communication Systems, Networks, and Digital Signal Processing. U1 -Best paper award
ER - TY - Generic T1 - Link Adaptation Algorithms for Dual Polarization Mobile Satellite Systems T2 - 9th EAI International Conference on Wireless and Satellite Systems, WISATS Y1 - 2017 A1 - Anxo Tato A1 - Pol Henarejos A1 - Carlos Mosquera A1 - Ana Pérez-Neira AB -The use of dual polarization in mobile satellite systems is
very promising as a means for increasing the transmission capacity. In this paper a system which uses simultaneously two orthogonal polarizations in order to communicate with the users is studied. The application of MIMO signal processing techniques along with Adaptive Coding and Modulation in the forward link can provide remarkable throughput gains up to 100 % when compared with the single polarization system. The gateway is allowed to vary the MIMO and Modulation and Coding Schemes for each frame. The selection is done by means of a link adaptation algorithm which uses a tunable margin to achieve a predefined target Frame Error Rate.