Diego Fernando Carrera

ORCID: 0000-0001-9011-1115
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About
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Research Areas
  • Advanced MIMO Systems Optimization
  • Millimeter-Wave Propagation and Modeling
  • Optical Wireless Communication Technologies
  • Energy Harvesting in Wireless Networks
  • Machine Learning and ELM
  • Air Quality Monitoring and Forecasting
  • Advanced Fiber Optic Sensors
  • Microwave Engineering and Waveguides
  • Advanced Wireless Communication Techniques
  • Full-Duplex Wireless Communications
  • Network Security and Intrusion Detection
  • Software-Defined Networks and 5G
  • Advanced Photonic Communication Systems
  • Cooperative Communication and Network Coding
  • Impact of Light on Environment and Health
  • Semiconductor Lasers and Optical Devices
  • Wireless Signal Modulation Classification
  • Ocular and Laser Science Research
  • Internet Traffic Analysis and Secure E-voting
  • Wireless Communication Networks Research
  • Vehicle emissions and performance
  • Optical Network Technologies

Universidad Tecnológica Empresarial de Guayaquil
2021-2023

Universidad Técnica Particular de Loja
2021-2022

Tecnológico de Monterrey
2020-2021

Escuela Politécnica del Ejército
2015

We have developed a low-cost wireless monitoring system, that enables air quality referential parameters measurements based on multilayer distributed model with an Arduino platform. This is Internet of Things application, which physical object embedded electronics, software, sensors and connectivity to allow pollution real-time. Agile methodologies such as Scrum Extreme Programming were used in order ensure software quality. The electronic device equipped three sensors, determines carbon...

10.1109/ds-rt.2015.28 article EN 2015-10-01

In this paper, we compare two artificial neural networks (ANNs) approaches designed to perform channel equalization for millimeter-wave (mmWave) signals operating in the 28 GHz frequency band. We used an in-house deterministic Three-Dimensional Ray-Launching (3D-RL) code simulate spatial structure of mmWave channels considering material properties obstacles within scenario at under analysis. performed offline training a multilayer perceptron (MLP) network with simulated equalize received...

10.1109/access.2021.3065337 article EN cc-by IEEE Access 2021-01-01

In this work, a comparative analysis is performed to study the bit error rate and vector magnitude achieved with least-squares (LS), minimum mean squared (MSE), Kalman filter (KF) channel estimators when these are applied maximum-ratio combining (MRC) regularised zero-forcing (RZF) receivers. The MSE different was also compared by varying noise interference power at receiver. proposed methodology relies on characterisation of massive multiple-input multiple-output (MIMO) quasi-deterministic...

10.1049/iet-com.2019.0973 article EN cc-by IET Communications 2020-02-14

An extreme learning machine (ELM)-based receiver for multi-user massive MIMO systems is introduced. The proposed ELM combining method, defined in the complex plane, designed to directly perform processing received uplink signals, based on adoption of pilot symbols as training data. Numerical results show that by appropriately setting number hidden neurons, achieves higher spectral efficiency and smaller BER, with fewer floating-point operations than conventional linear receivers, namely...

10.1109/lcomm.2020.3031195 article EN IEEE Communications Letters 2020-10-14

Reliable wireless communications are crucial for ensuring workers’ safety in underground tunnels and mines. Visible light (VLC) have been proposed as auxiliary systems short-range environments due to their seamless availability, immunity electromagnetic interference, illumination capabilities. Although multiple VLC channel models mines (UM) so far, none of these considered the wavelength dependence mining (UM-VLC). In this paper, we propose a single-input, single-output (SISO),...

10.3390/electronics12030577 article EN Electronics 2023-01-23

In this paper, we study the problem of optimizing performance multi-user millimeter-wave (mmWave) communications in three steps. The first one is given by use a new pilot mapping to reduce inter-user interference effect and perform more accurate channel estimation. second step, designed hybrid receiver that, based on accuracy state information, chooses between minimum mean square error (MMSE) regularized zero-forcing beamforming (RZFBF) receivers, combine/precode massive multiple-input...

10.1109/access.2020.2994176 article EN cc-by IEEE Access 2020-01-01

Wireless communication systems working in millimeter-wave (mmWave) frequency bands offer higher bandwidths than traditional radio schemes. This technology allows multibeam steering and data multiplexing with the help of massive multiple-input multiple-output (MIMO) systems. However, supporting large at mmWave frequencies is challenging due to use antenna arrays beamforming, sampling signals bandwidths, baseband signal processing operations gigabit rates. Due wider bandwidth requirements...

10.1109/access.2022.3178709 article EN cc-by IEEE Access 2022-01-01

Visible Light Communications (VLC) have generated great interest in the scientific community last five years due to their adaptation harsh environments. Among scenarios that can benefit from advantages of VLC systems are Underground Mining (UM) tunnels. However, physical phenomena and irregularity this environment present a challenge for implementation called UM-VLC. Therefore, it is important research develop practical solutions improve performance these UM scenario verify efficiency. Under...

10.1109/csndsp54353.2022.9907912 article EN 2022 13th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) 2022-07-20

Abstract In this article, we propose a new pilot mapping method to jointly estimate the channel state information of user while reducing interference effects multiuser multicell mobile scenarios. The problem achieving wireless performance minimum mean square error (MMSE) receiver with maximum ratio (MR) combiner for massive multiple‐input multiple‐output (MIMO) systems in frequency bands 2.5 GHz and 28 is addressed. By transmitting fewer pilots uplink communications arranging those reduce...

10.1049/cmu2.12286 article EN cc-by-nc IET Communications 2021-10-15
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