The concept of geostationary VHTS (Very High Throughput Satellites) is based on multibeam coverage with intensive frequency and polarization reuse, in addition to the use of larger bandwidths in the feeder links, in order to provide high capacity satellite links at a reduced cost per Gbps in orbit. The dimensioning and design of satellite networks based on VHTS imposes the analysis of multiple trade-offs to achieve an optimal solution in terms of cost, capacity, and the figure of merit of the user terminal. In this paper, we propose a new method for sizing VHTS satellite networks based on an analytical expression of the forward link CINR (Carrier-to-Interference-plus-Noise Ratio) that is used to evaluate the trade-off of different combinations of system parameters. The proposed method considers both technical and commercial requirements as inputs, including the constraints to achieve the optimum solution in terms of the user G/T, the number of beams, and the system cost. The cost model includes both satellite and ground segments. Exemplary results are presented with feeder links using Q/V bands, DVB-S2X and transmission methods based on CCM and VCM (Constant and Variable Coding and Modulation, respectively) in two scenarios with different service areas.

The concept of geostationary VHTS (Very High Throughput Satellites) is based on multibeam coverage with intensive frequency and polarization reuse in addition to the use of larger bandwidths in the feeder links, in order to provide high capacity satellite links at a reduced cost per Gbps in orbit. The dimensioning and design of satellite networks based on VHTS imposes the analysis of multiple trade-offs to achieve an optimal solution in terms of cost, capacity and figure of merit of the user terminal. In this paper, we propose a new method for sizing VHTS satellite networks based on an analytical expression of the forward link CINR (Carrier-to-Interference-plus-Noise Ratio) that is used to evaluate the trade-off of different combinations of system parameters. The proposed method considers both technical and commercial requirements as inputs including the constraints to achieve the optimum solution in terms of the user G/T, the number of beams and the system cost. The cost model includes both satellite and ground segments. Exemplary results are presented with feeder links using Q/V bands, DVB-S2X and transmission methods based on CCM and VCM (Constant and Variable Coding and Modulation, respectively) in two scenarios with different service areas.

The rain attenuation affects the availability of the Ground Segment network, impacting mainly to the satellite links. The gateway station feeder uplink works in Q/V band, which turns into very susceptible to weather impairments. This means that it is inactive when the feeder link is affected by a rain fading event. Therefore, we propose learning methods to improve a network scheme being capable of ensuring high availability and reducing the number of redundant gateways on the ground segment. These methods are based on machine learning techniques that are adequately implemented in our system model. Finally, we evaluate the performance of the system model to demonstrate that our implementation provides high availability and an optimal number of redundant gateways.

Mexico is a country prone to catastrophic events of seismic, vulcanological or meteorological origin, among others. For this reason, many organizations monitor in Mexico different areas to prevent catastrophes. The Emergency Alert Systems (EAS) advise about the advent of a possible catastrophic event to the population in general. This paper explores the EAS in Mexico in order to propose improvements. First, the characteristics of the existing Emergency Alert Systems in México are evaluated. As the broadcasting have traditionally been the main alert media for the population, the coverage of radio and television is studied in order to know whether it is enough to cover all the country. Finally, a new integral Emergency Alert System covering all the country is proposed.

We, the authors, wish to make the following correction to our published paper