- Performance optimization methods for multiple-input 5G transmitters
- Mengozzi, Mattia <1995>
Subject
- ING-INF/01 Elettronica
Description
- The objective of the thesis is to analyze the possibility of exploiting the additional degrees of freedom in multi-input (MI) power amplifier (PA) topologies to improve their trade-offs among the main figures of merit: linearity, efficiency, and power. The proposed algorithms were tested on three different MI PA topologies, each presenting different optimization challenges and objectives. On a PA array, a beam-dependent digital predistortion (BD-DPD) algorithm was tested to enhance the linearity of the system under varying PA load conditions, by adjusting the beam direction. The method is based on machine learning and allows a low-complexity real-time update of the DPD coefficients by exploiting feature-based model reduction. The validation is performed through over-the-air measurements of a 1x4 array operating at 28 GHz with 100-MHz modulated BW. On a supply-modulated PA (SM-PA), a gradient-based multi-objective optimization (MOO) algorithm was applied to optimize the trade-off between linearity and efficiency of the PA. To avoid dealing with an unbearably high number of experimental acquisitions, MOO is made feasible by fast simulation of an empirical surrogate model of the PA, which is progressively refined from a reduced set of iterative acquisitions. The method outperforms classical SM approaches. This is demonstrated by the experimental results on a SM-PA operating at 3.5 GHz in the presence of OFDM-like high-PAPR modulated signals with 10-MHz and 20-MHz BWs. Finally, a derivative-free algorithm, the Bayesian optimization, was tested on a multi-input load-modulated amplifier, specifically on a dual-input Doherty PA (DIDPA) targeting 100-MHz modulated BW at 24 GHz. The optimization focuses on improving power added efficiency (PAE) while maintaining linearity with DPD linearization. A joint optimization considers the mutual effect of DPD linearization and PAE-maximization. Validation is done with a multiport on-wafer measurement system using a vector network analyzer for wideband characterization of a millimeter-wave DIDPA.
Date
- 2024-07-09
Type
- Doctoral Thesis
- PeerReviewed
Format
- application/pdf
Identifier
urn:nbn:it:unibo-30501
Mengozzi, Mattia (2024) Performance optimization methods for multiple-input 5G transmitters, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Ingegneria elettronica, telecomunicazioni e tecnologie dell'informazione