研究目的
To maximize the total harvested DC power at the energy receiver in a MIMO wireless power transfer system by proposing a new generic receiver architecture that exploits nonlinear energy harvesting models and jointly optimizes transmit energy beamforming and power splitting ratios.
研究成果
The proposed generic ER architecture with adaptive power splitting significantly improves harvested DC power in MIMO WPT systems under nonlinear EH models, outperforming conventional designs. The optimization algorithm converges efficiently to the global optimum, validating the design's effectiveness.
研究不足
The sigmoidal function-based EH model is only accurate at medium and large input power regimes (e.g., larger than 0.1 mW) and inaccurate at low input power regimes. The study assumes fixed transmit waveforms and does not consider adaptive waveform optimization, which could be addressed in future work.
1：Experimental Design and Method Selection:
The study uses a point-to-point MIMO WPT system with M transmit antennas at the ET and N receive antennas at the ER. A sigmoidal function-based nonlinear EH model is adopted for RF-to-DC conversion. An optimization problem is formulated to maximize harvested DC power, and an efficient algorithm is proposed to solve it globally.
2：Sample Selection and Data Sources:
Rician fading channels are considered with a Rician factor of 3 dB and average channel power gain g = ζ0d^{-3}, where ζ0 = -30 dB at d0 = 1 m. Parameters for the EH model (al = 150, bl = 0.014, Qmax_l = 2.4 mW) are based on curve fitting to measurement data from prior work.
3：014, Qmax_l = 4 mW) are based on curve fitting to measurement data from prior work.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: The setup includes transmit and receive antennas, power splitters, rectifiers, and simulation tools for numerical analysis. Specific models or brands are not mentioned.
4：Experimental Procedures and Operational Workflow:
The algorithm involves optimizing transmit energy beamforming (X) and power splitting ratios ({α_nl}) using a modified Newton method. Numerical simulations are conducted to evaluate performance against conventional designs.
5：Data Analysis Methods:
Performance is analyzed through numerical results, including convergence behavior of the algorithm and comparisons of harvested DC power versus distance and number of rectifiers.
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