An iterative model for fractal antennas: application to the Sierpinski gasket antenna

A simple model that explains the behavior of the Sierpinski fractal antenna is presented. This model shows that the multiband behavior of the Sierpinski fractal antenna is a consequence of its fractal nature. The model is applied to predict the behavior of the Sierpinski fractal antenna when the flare angle is modified and its validity is assessed by comparing its predictions with measured dataPeer Reviewe

Link adaptation in FBMC/OQAM systems using NB-LDPC codes

This paper investigates the application of non-binary low density parity check (NB-LDPC) codes to offset-QAM based filter bank multicarrier systems, known as FBMC/OQAM. The analysis conducted in the paper reveals that the mapping scheme can be optimized to simplify detection and minimize the correlation of the noise. Based on the proposed modifications, existing adaptive coding and modulation (ACM) algorithms can be easily tailored to accommodate the characteristics of NB-LDPC and FBMC/OQAM. In this paper, priority has been given to mutual information-based ACM algorithms. Numerical results verify that the proposed algorithm guarantees the target block error rate.Peer ReviewedPostprint (published version

Link adaptation in FBMC/OQAM systems using NB-LDPC codes

This paper investigates the application of non-binary low density parity check (NB-LDPC) codes to offset-QAM based filter bank multicarrier systems, known as FBMC/OQAM. The analysis conducted in the paper reveals that the mapping scheme can be optimized to simplify detection and minimize the correlation of the noise. Based on the proposed modifications, existing adaptive coding and modulation (ACM) algorithms can be easily tailored to accommodate the characteristics of NB-LDPC and FBMC/OQAM. In this paper, priority has been given to mutual information-based ACM algorithms. Numerical results verify that the proposed algorithm guarantees the target block error rate.Peer Reviewe

An iterative model for fractal antennas: application to the Sierpinski gasket antenna

A simple model that explains the behavior of the Sierpinski fractal antenna is presented. This model shows that the multiband behavior of the Sierpinski fractal antenna is a consequence of its fractal nature. The model is applied to predict the behavior of the Sierpinski fractal antenna when the flare angle is modified and its validity is assessed by comparing its predictions with measured dataPeer Reviewe

Cooperative intelligent transport systems for vulnerable road users safety

Cooperative-Intelligent Transport Systems (C-ITS) are one of the flagships of new coming automotive and communication industries. Mobility needs to be safer and more efficient and C-ITS are the key for this new era. On the one hand, organizations like ETSI, IEEE, SAE, 3GPP or ISO are developing the standards for the new technologies and protocols and, on the other, manufacturers and operators are deploying and testing their first pilots. In this paper, we present a pilot developed by a group of stakeholders, in which vehicles will alert drivers of potential collisions with vulnerable road users riding bicycles. It is a multidisciplinary project where there are different architecture components: C-ITS stations integrated in vehicles, vehicles provided with digital cockpits that show warning messages to the driver, low-cost C-ITS stations attached to bicycles which are equipped with a high precision location system based on the fusion of different information sources as GPS, inertial sensors and Ultra Wide Band ranging and finally communication between C-ITS stations is provided by a network that supports low delay C-V2X communications with a Multi-access Edge Computing which takes routing decisions.Peer ReviewedPostprint (published version

Hybrid GNSS/INS/UWB positioning for live demonstration assisted driving

In Cooperative Intelligent Transport Systems, precise and reliable positioning and navigation is a key feature for assisted or autonomous driving. This contribution presents experimental results from a pilot demonstration involving different stakeholders for assisted driving in a smart city scenario. A low-cost multi-sensor fusion positioning prototype which integrates GNSS, INS and UWB measurements, with communication capabilities has been deployed into a 5G communication architecture to test real-time positioning and communication capabilities in delay constraint/safety applications. A description of the prototype and experimental performance results are provided.Peer ReviewedPostprint (published version

Exploratory analysis of superposition coding and rate splitting for multibeam satellite systems

The adoption of aggressive frequency reuse schemes along with interference management techniques has become the leading paradigm in satellite communications to increase the spectral efficiency. In general terms, one cannot rely on precoding techniques in the absence of channel phase information. Nevertheless, the availability of channel magnitude information, makes it possible to explore power-based separation of superimposed signals. In this paper, rate splitting (RS) ideas are exploited, whereby the separation of messages into private and public parts serves to improve the performance of successive cancellation decoding (SCD). Numerical results reveal that in some pertinent system scenarios, the proposed schemes achieve a larger rate region than that of orthogonal schemes that do not exploit the interference and other strategies that either do not allow beam cooperation or do not apply RS.Peer Reviewe

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies

International audienceSignificance There is growing evidence that preexisting autoantibodies neutralizing type I interferons (IFNs) are strong determinants of life-threatening COVID-19 pneumonia. It is important to estimate their quantitative impact on COVID-19 mortality upon SARS-CoV-2 infection, by age and sex, as both the prevalence of these autoantibodies and the risk of COVID-19 death increase with age and are higher in men. Using an unvaccinated sample of 1,261 deceased patients and 34,159 individuals from the general population, we found that autoantibodies against type I IFNs strongly increased the SARS-CoV-2 infection fatality rate at all ages, in both men and women. Autoantibodies against type I IFNs are strong and common predictors of life-threatening COVID-19. Testing for these autoantibodies should be considered in the general population

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies

International audienceSignificance There is growing evidence that preexisting autoantibodies neutralizing type I interferons (IFNs) are strong determinants of life-threatening COVID-19 pneumonia. It is important to estimate their quantitative impact on COVID-19 mortality upon SARS-CoV-2 infection, by age and sex, as both the prevalence of these autoantibodies and the risk of COVID-19 death increase with age and are higher in men. Using an unvaccinated sample of 1,261 deceased patients and 34,159 individuals from the general population, we found that autoantibodies against type I IFNs strongly increased the SARS-CoV-2 infection fatality rate at all ages, in both men and women. Autoantibodies against type I IFNs are strong and common predictors of life-threatening COVID-19. Testing for these autoantibodies should be considered in the general population