|Evaluation of New Link Adaptation Techniques for Mobile Satellite Channels (galego)||Viernes, 2 Octubre, 2015||
Diapositivas da defensa do Proxecto de Fin de Carreira.
|Evaluation of New Link Adaptation Techniques for Mobile Satellite Channels (español)||Viernes, 2 Octubre, 2015||
Diapositivas de la defensa del Proyecto de Fin de Carrera.
|Evaluation of New Link Adaptation Techniques for Mobile Satellite Channels||Viernes, 2 Octubre, 2015||
|Link Adaptation in Mobile Satellite Links: Field Trial Results||Palma de Mallorca||Lunes, 9 Mayo, 2016||
Slides of the presentation of the paper in the conference ASMS 2016, in Palma de Mallorca (Spain).
Topics: Adaptive Coding and Modulation, ACM, Link adaptation, BGAN, S-UMTS family SL, Software Defined Radio, SDR, UAV, mobile satellite communications, experiment, MEO satellite.
|Link Adaptation Algorithms for Dual Polarization Mobile Satellite Systems||Oxford, United Kingdom||Jueves, 14 Septiembre, 2017||
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.
|Link Adaptation and Carriers Detection Errors in Multibeam Satellite Systems with Linear Precoding||Berlin, ASMS conference||Martes, 11 Septiembre, 2018||
The application of linear precoding at the gateway side enables broadband multibeam satellite systems to use more aggressive frequency reuse patterns increasing the overall capacity of future High Throughput Satellites (HTS). However, although some previous works about precoding consider imperfect CSIT (Chanel State Information at the Transmitter) adding some CSI estimation errors, that is not the main cause of CSI degradation. In practice, receivers can only detect and estimate a few coefficients of the CSI vector being the other nullified, replaced by zeros.
|Deep Learning Assisted Rate Adaptation in Spatial Modulation Links||ISWCS Oulu (Finland)||Miércoles, 28 Agosto, 2019||
The adaptation of Spatial Modulation based links to the channel conditions is challenged by the complicated dependence between performance (either error rate metrics or theoretically achievable rates) and the multiple antenna channel description. In this paper a coding rate selection mechanism is presented based on a carefully selected set of channel features and the proper training of a deep neural network, which all together can satisfy a given error rate bound.