Del-Puerto-Flores, J. Alberto
Main Affiliation
Preferred name
Del-Puerto-Flores, J. Alberto
Official Name
Del Puerto Flores, José Alberto
ORCID
0000-0003-4039-1694
Researcher ID
AAR-1386-2020
Scopus Author ID
57206905278
28 results
Now showing 1 - 10 of 28
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Item type:Publication, Efficient Deep Learning-Based Detection Scheme for MIMO Communication Systems(2025); Jesus Acosta-Elias<jats:p>Multiple input-multiple output (MIMO) is a key enabling technology for the next generation of wireless communication systems. However, one of the main challenges in the implementation of MIMO system is the complexity of the detectors when the number of antennas increases. This aspect will be crucial in the implementation of future massive MIMO systems. A flexible design can offer a convenient tradeoff between detection complexity and bit error rate (BER). Deep learning (DL) has emerged as an efficient method for solving optimization problems in different areas. In MIMO communication systems, neural networks can provide efficient and innovative solutions. This paper presents an efficient DL-based signal detection strategy for MIMO communication systems. More specifically, a preprocessing stage is added to label the input signals. The labeling scheme provides more information about the transmitted symbols for better training. Based on this strategy, two novel schemes are proposed and evaluated considering BER performance and detection complexity. The performance of the proposed schemes is compared with the conventional one-hot (OH) scheme and the optimal maximum likelihood (ML) criterion. The results show that the proposed OH per antenna (OHA) and direct symbol encoding (DSE) schemes reach a classification performance F1-score of 0.97. Both schemes present a lower complexity compared with the conventional OH and the ML schemes, used as references. On the other hand, the OHA and DSE schemes have losses of less than 1 dB and 2 dB in BER performance, respectively, compared to the OH scheme. The proposed strategy can be applied to adaptive systems where computational resources are limited.</jats:p>18 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Comparative Study of Brownian Dynamics Based on the Jerk Equation Against a Stochastic Process Under an External Force Field(MDPI AG, 2025-02-28); <jats:p>Brownian motion has been studied since 1827, leading to numerous important advances in many branches of science and to it being studied primarily as a stochastic dynamical system. In this paper, we present a deterministic model for the Brownian motion for a particle in a constant force field based on the Ornstein–Uhlenbeck model. By adding one degree of freedom, the system evolves into three differential equations. This change in the model is based on the Jerk equation with commutation surfaces and is analyzed in three cases: overdamped, critically damped, and underdamped. The dynamics of the proposed model are compared with classical results using a random process with normal distribution, where despite the absence of a stochastic component, the model preserves key Brownian motion characteristics, which are lost in stochastic models, giving a new perspective to the study of particle dynamics under different force fields. This is validated by a linear average square displacement and a Gaussian distribution of particle displacement in all cases. Furthermore, the correlation properties are examined using detrended fluctuation analysis (DFA) for compared cases, which confirms that the model effectively replicates the essential behaviors of Brownian motion that the classic models lose.</jats:p>23 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Stochastic Characterization of MAC-Level Reliability and Reassociation Dynamics in IEEE 802.15.4 Networks for Smart Grid Applications(MDPI AG, 2026-04-14); ; ; 20 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, ChainIDentity: Software architecture and implementation of the blockchain-based digital identity ecosystem(Elsevier BV, 2026-09); 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Transformer-Based Multi-Task Learning Model for Vehicle Traffic Surveillance(MDPI AG, 2025-11-29); 35 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance optimization of multiple RIS-assisted multiuser MIMO communication systems(Wiley, 2025-05-16)15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Neural Network Aided M-PSK Detection in 802.11P V2V OFDM Systems Under ICI Conditions(Institute of Electrical and Electronics Engineers (IEEE), 2025); 19 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Channel Characterization and SC-FDM Modulation for PLC in High-Voltage Power Lines(2022); ; <jats:p>Digital communication over power lines is an active field of research and most studies in this field focus on low-voltage (LV) and medium-voltage (MV) power systems. Nevertheless, as power companies are starting to provide communication services and as smart-grid technologies are being incorporated into power networks, high-voltage (HV) power-line communication has become attractive. The main constraint of conventional HV power-line carrier (PLC) systems is their unfeasibility for being migrated to wideband channels, even with a high signal-to-noise ratio (SNR). In this scenario, none of the current linear/non-linear equalizers used in single carrier schemes achieve the complete compensation of the highly dispersive conditions, which limits their operation to 4 kHz channels. In this paper, a new PLC-channel model is introduced for transmission lines incorporating the effects of the coupling equipment. In addition, the use of the single-carrier frequency-division modulation (SC-FDM) is proposed as a solution to operate PLC systems in a wide bandwidth, achieving transmission speeds above those of the conventional PLC system. The results presented in this paper demonstrate the superior performance of the SC-FDM-PLC over conventional PLC systems, obtaining a higher transmission capacity in 10 to 30 times.</jats:p>Scopus© Citations 2 1 17 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance of MRC Detection in OFDM System with Virtual Carriers over V2V Channels(2019); ; Scopus© Citations 1 2 16 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance Metric Analysis for a Jamming Detection Mechanism under Collaborative and Cooperative Schemes in Industrial Wireless Sensor Networks(2021); ; <jats:p>The emergence of Industry 4.0 technologies, such as the Internet of Things (IoT) and Wireless Sensor Networks (WSN), has prompted a reconsideration of methodologies for network security as well as reducing operation and maintenance costs, especially at the physical layer, where the energy consumption plays an important role. This article demonstrates through simulations and experiments that, while the cooperative scheme is more efficient when a WSN is at normal operating conditions, the collaborative scheme offers more enhanced protection against the aggressiveness of jamming in the performance metrics, thus making it safer, reducing operation and maintenance costs and laying the foundations for jamming mitigation. This document additionally offers an algorithm to detect jamming in real time. Firstly, it examines the characteristics and damages caused by the type of aggressor. Secondly, it reflects on the natural immunity of the WSN (which depends on its node density and a cooperative or collaborative configuration). Finally, it considers the performance metrics, especially those that impact energy consumption during transmission.</jats:p>Scopus© Citations 15 2 6
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