Top-Down Software Optimization

Supalov, Alexander; Semin, Andrey; Klemm, Michael; Dahnken, Christopher

doi:10.1007/978-1-4302-6497-2_3

Cited by 3 publications

(1 citation statement)

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“…Hence, a strong method is required for designing and analyzing complicated designs. The top-down method is a hierarchy method where the design is broken into the smaller parts [17]. As the implanted antennas are the hierarchical designs, the TDO method can be an effective solution in generating the initial configuration.…”

Section: Top-down Optimization For Configuring the Implanted Mimo Ant...mentioning

confidence: 99%

Deep Learning Assisted Automatic Methodology for Implanted MIMO Antenna Designs on Large Ground Plane

2021

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This paper provides a novel methodology for designing implanted multiple-input and multiple-output (MIMO) antennas in the automatic fashion. The proposed optimization consists of two sequential phases for firstly configuring the geometry of an implanted MIMO antenna and then sizing the design parameters through the hierarchy top-down optimization (TDO) and regression deep neural network (DNN), respectively. It tackles the difficulty in constructing the structure of antennas and also provides optimal values for the determined variables, sufficiently. This methodology results in valid electromagnetic (EM)-verified post-layout generation that is ready-to-fabricate. The effectiveness of the proposed optimization-oriented method is verified by designing and optimizing the implanted MIMO antenna in the frequency band of 4.34–4.61 GHz and 5.86–6.64 GHz suitable for medical applications at the emerging wireless band. For our design, we employ the actual biological tissues as bone, liquid (%1 sodium chloride, %40 sugar in distilled water), and plexiglass surroundings with a bio-compatible substrate, as aluminium oxide on a large ground plane, that is suitable to be used in a particular biomedical applications involving smart implants.

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Section: Top-down Optimization For Configuring the Implanted Mimo Ant...mentioning

confidence: 99%