Browsing by Autor "Juan Carlos Paredes Condori"

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    Design and Characterization of a 24 GHz Transceiver with Adaptative Power Control for 5 G mmWave Systems
    (2025) Hugo Orlando Condori Quispe; Karel Walter Gomez Orellana; Alejandro Javier Jurado Morales; Juan Carlos Paredes Condori; Rodrigo Apaza Huanca
    The progression towards 5 G communications in millimeter-wave (mmWave) bands imposes stringent requirements on the linearity and power stability of the radio frequency (RF) chain. This paper presents the design, modeling, and experimental characterization of a complete 24.2 GHz transceiver featuring a closed-loop power control system. The system employs a Software-Defined Radio (SDR) for the generation and demodulation of a 5 G waveform at a 5 GHz intermediate frequency (IF). Frequency conversion to the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{R F}$</tex> band is performed by a subharmonic mixer, which utilizes an internal frequency multiplier to generate a 24.2 GHz RF carrier from a 9.6 GHz local oscillator (LO) signal supplied by a synthesizer. The output power is monitored in real-time by an RMS power detector, the output of which feeds a digital control loop implemented in a microcontroller. Theoretical analysis of the mixing cascade, signal quality metric (EVM), and control algorithm is presented. Experimental results characterize the open-loop system performance, including the compression point and EVM degradation, and demonstrate the effectiveness of the control loop in maintaining a constant output power and ensuring linear operation against variations in input power and chain gain.
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    Power and Linearity Optimization of a 24.2 GHz Transmitter Chain Through Behavioral Modeling and Look-Up Tables
    (2025) Hugo Orlando Condori Quispe; Juan Carlos Paredes Condori; Karel Walter Gomez Orellana; Rodrigo Apaza Huanca; Alejandro Javier Jurado Morales
    The optimization of the trade-off between power efficiency and linearity is a challenge in the design of millimeterwave (mmWave) transmitters for <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{5 G}$</tex> systems. This paper presents a systematic methodology for experimental characterization and subsequent optimization of a 24.2 GHz transmit chain through the development of a predictive behavioral model. A multidimensional, automated sweep of the chain's key control parameters—intermediate frequency (IF) input power, mixer gain, and IF stage attenuation—is performed to exhaustively map the operational space. For each configuration point, the RF output power and Error Vector Magnitude (EVM) are empirically determined. The extensive dataset is then used to construct a multi-dimensional look-up table (LUT) that functions as an accurate, data-driven behavioral model of the system. This model facilitates the prediction of transmitter performance and the identification of optimal operating points that maximize output power subject to a specific linearity constraint (EVM) without necessitating manual, iterative tuning. The utility of the model as a powerful design-time optimization tool is demonstrated, effectively decoupling performance tuning from the constraints of real-time hardware implementation.