arXiv subjects

Jorge L. González-Rios

Publications and source records attributed to Jorge L. González-Rios.

3 recordsLinked to original sources

arXiv2025

2.4-GHz Integrated CMOS Low-Noise Amplifier (English Version)

This paper presents the analysis, design, fabrication, and measurement of an integrated low-noise amplifier (LNA) implemented using a 130 nm CMOS technology, operating in the 2.4 GHz band. The LNA is a crucial component in the performance of receivers, particularly in integrated receivers. The proposed LNA was designed to meet the specifications of the IEEE 802.15.4 standard. Post-layout simulation results, including pads with electrostatic discharge (ESD) protection, are as follows: gain of 10.7 dB, noise figure of 2.7 dB, third-order input intercept point (IIP3) of 0.9 dBm, input and output impedance matching better than -20 dB with respect to 50~$Ω$ terminations, with a power consumption of 505 $μ$W powered from a 1.2 V supply. The obtained results fall within the range of those recently reported for the same topology and operating frequency. The measured scattering parameters (S-parameters) are consistent with the simulation results. This work contributes to the development of a new research line in Cuba on the design of radio-frequency (RF) integrated circuits.

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arXiv2025

Demonstrator Testbed for Effective Precoding in MEO Multibeam Satellites

The use of communication satellites in medium Earth orbit (MEO) is foreseen to provide quasi-global broadband Internet connectivity in the coming networking ecosystems. Multi-user multiple-input single-output (MU-MISO) digital signal processing techniques, such as precoding, emerge as appealing technological enablers in the forward link of multi-beam satellite systems operating in full frequency reuse (FFR). However, the orbit dynamics of MEO satellites pose additional challenges that must be carefully evaluated and addressed. This work presents the design of an in-lab testbed based on software-defined radio (SDR) platforms and the corresponding adaptations required for efficient precoding in a MEO scenario. The setup incorporates a precise orbit model and the radiation pattern of a custom-designed direct radiating array (DRA). We analyze the main impairments affecting precoding performance, including Doppler shifts and payload phase noise, and propose a synchronization loop to mitigate these effects. Preliminary experimental results validate the feasibility and effectiveness of the proposed solution.

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arXiv2024

Artificial Intelligence Satellite Telecommunication Testbed using Commercial Off-The-Shelf Chipsets

The Artificial Intelligence Satellite Telecommunications Testbed (AISTT), part of the ESA project SPAICE, is focused on the transformation of the satellite payload by using artificial intelligence (AI) and machine learning (ML) methodologies over available commercial off-the-shelf (COTS) AI-capable chips for onboard processing. The objectives include validating artificial intelligence-driven SATCOM scenarios such as interference detection, spectrum sharing, radio resource management, decoding, and beamforming. The study highlights hardware selection and payload architecture. Preliminary results show that ML models significantly improve signal quality, spectral efficiency, and throughput compared to conventional payload. Moreover, the testbed aims to evaluate the performance and the use of AI-capable COTS chips in onboard SATCOM contexts.

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