5G at millimeter waves: contribution to design of a near-field dosimetry system in the 60-GHz band for user exposure assesment
Research Fields: millimeter waves, microwave modeling and systems, electromagnetic dosimetry, antennas and probes, tissue-equivalent models
Research Laboratory: Institute of Electronics and Telecommunications of Rennes (IETR), UMR CNRS 6164, University of Rennes 1, Rennes, France.
Expected Starting Date and Duration: First semester 2020 (18 months)
The candidate will join Electromagnetic Waves in Complex Media Team (WAVES, www.ietr.fr/WAVES.html) of the IETR. Our research activities in biomedical electromagnetics cover a wide spectrum of fundamental and applied research spreading from multi-physics and multi-scale modeling to advanced technologies for body-centric wireless communications. The team was at the origin of pioneering innovations in biomedical electromagnetics, including the first mm-wave tissue-equivalent phantoms, novel reflectivity based surface phantom concept, new broadband multi-physics characterization technique for Debye-type materials, innovative mm-wave textile antennas for smart clothes, ultra-robust miniature implantable UHF antennas, and the first mm-wave reverberation chamber.
The project deals with the design, optimization and experimental characterization of a new MMW dosimetry system and the associated methodology for near-field exposure assessment.
Existing experimental MMW dosimetry techniques are limited to electromagnetic field measurements using free-space probes in vicinity of wireless devices. These solutions do not account for a potential increase of exposure levels due to the presence of human body and may cause underestimation of exposure levels. To overcome these limitations, we propose an alternative approach based on a solid skin-equivalent phantom model that was recently introduced by our research team in the 60-GHz band . The phantom comprises a thin layer of a composite dielectric material (PDMS saturated with the carbon powder) deposited on a metallic ground plane. The properties of the dielectric layer (thickness, composition) are optimized to reproduce the reflection coefficient from the human skin. This solid tissue-equivalent model will be used as a starting point to design a MMW dosimetry system for measurements of power density accounting for perturbation of the EM fields radiated by a MMW wireless device in presence of the human body. The proposed system will integrate two key functionalities: (1) it will accurately reproduce the reflection coefficient of human skin and (2) it will enable retrieval of the power density based on the field measurements inside the tissue-equivalent phantom.
1) A. R. Guraliuc, M. Zhadobov, O. De Sagazan, R. Sauleau. Solid phantom for body-centric propagation measurements at 60 GHz. IEEE Transactions on Microwave Theory and Techniques, 62(6), pp. 1373–1380, Mai 2014.
2) A. Guraliuc, M. Zhadobov, R. Sauleau, L. Marnat, L. Dussopt. Near-field user exposure in forthcoming 5G scenarios in the 60-GHz band. IEEE Transactions on Antennas and Propagation, 65(12), pp. 6606–6615, Dec. 2017.
3) M. Zhadobov, C. Leduc, A. Guraliuc, N. Chahat, R. Sauleau. Antenna / human body interactions in the 60 GHz band: state of knowledge and recent advances. State-of-the-Art in Body-Centric Wireless Communications and Associated Applications, IET, pp. 97–142, Jun. 2016.
- Conduct research and contribute to the development of the experimental setup for MMW dosimetry
- Propose and evaluate technical solutions on various aspects of the project including numerical simulations and experimental works
- Investigate different antennas solutions for near-field measurements
- Simulate (using commercial software, like CST) the EM wave scattering by and propagation through metal-dielectric structures (multi-layer and/or periodic)
- Contribute to a proof-of-concept experiment aimed at implementation and characterization of the developed solutions
Education: PhD degree or equivalent experience.
Background: Electromagnetics, antenna design, microwave design / measurements, numerical modeling, simulations. Knowledge in electronics is welcome but not mandatory.
How to apply
To apply please send your CV, motivation letter, reference letters (optional), and a copy of your PhD diploma to email@example.com