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 in | IEEE antennas and wireless propagation letters Vol. 23; no. 12; pp. 4059 - 4063 | 
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| Main Authors | , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        New York
          IEEE
    
        01.12.2024
     The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1536-1225 1548-5757  | 
| DOI | 10.1109/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. | 
    
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| 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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