Efficient Evaluation of Epithelial/Absorbed Power Density by Multiantenna User Equipment With SAM Head Model

This study introduces a joint optimization algorithm that combines semidefinite relaxation (SDR) and particle swarm optimization (PSO) to efficiently estimate the maximized peak spatial-average APD (mpsAPD) by multiantenna user equipment (MAUE). Utilizing SDR, the algorithm computes the weight of th...

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Published inIEEE antennas and wireless propagation letters Vol. 23; no. 12; pp. 4059 - 4063
Main Authors Wu, Tongning, Chen, Yuming, Li, Congsheng
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
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ISSN1536-1225
1548-5757
DOI10.1109/LAWP.2024.3421367

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Abstract This study introduces a joint optimization algorithm that combines semidefinite relaxation (SDR) and particle swarm optimization (PSO) to efficiently estimate the maximized peak spatial-average APD (mpsAPD) by multiantenna user equipment (MAUE). Utilizing SDR, the algorithm computes the weight of the elements within the antenna array and employs PSO to identify the averaging area for maximum exposure. Quasi-conformal parameterization is utilized to facilitate searches along curved phantom profiles. The proposed approach exhibits superior efficiency and accuracy in calculating the mpsAPD by MAUE, revealing a negligible discrepancy of less than 3% relative to 10 000 times Monte Carlo simulations and reducing 97.5% of computational time. These findings provide substantial significance for the current discussion on international standardization concerning the assessment of APD.
AbstractList This study introduces a joint optimization algorithm that combines semidefinite relaxation (SDR) and particle swarm optimization (PSO) to efficiently estimate the maximized peak spatial-average APD (mpsAPD) by multiantenna user equipment (MAUE). Utilizing SDR, the algorithm computes the weight of the elements within the antenna array and employs PSO to identify the averaging area for maximum exposure. Quasi-conformal parameterization is utilized to facilitate searches along curved phantom profiles. The proposed approach exhibits superior efficiency and accuracy in calculating the mpsAPD by MAUE, revealing a negligible discrepancy of less than 3% relative to 10 000 times Monte Carlo simulations and reducing 97.5% of computational time. These findings provide substantial significance for the current discussion on international standardization concerning the assessment of APD.
Author Chen, Yuming
Li, Congsheng
Wu, Tongning
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SubjectTerms Absorbed power density
Algorithms
Antenna arrays
Avalanche photodiodes
Computing time
Density measurement
Mathematical models
Monte Carlo simulation
multiantenna user equipment
Optimization
Parameterization
Particle swarm optimization
particle swarm optimization (PSO)
Power system measurements
semidefinite relaxation
Vectors
Title Efficient Evaluation of Epithelial/Absorbed Power Density by Multiantenna User Equipment With SAM Head Model
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