Modelling Optical Wireless Communication for In-Body Communications Systems
Fuada, Syifaul; Sarestoniemi, Mariella; Katz, Marcos (2024-08-23)
IEEE
23.08.2024
S. Fuada, M. Särestöniemi and M. Katz, "Modelling Optical Wireless Communication for In-Body Communications Systems," 2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Rome, Italy, 2024, pp. 199-204, doi: 10.1109/CSNDSP60683.2024.10636569.
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202411206840
https://urn.fi/URN:NBN:fi:oulu-202411206840
Tiivistelmä
Abstract
Pacemakers, heart defibrillators, smart pills, insulin pumps, and cochlear implants are examples of in-body devices. Typically, they need to communicate with out-body devices for various clinical purposes. Traditionally, these devices rely on communication technologies exploiting radio waves and acoustics. Optical wireless communication (OWC) offers several fundamental advantages over conventional connectivity approaches, such as resilient operation against radio interference, high security, high data transfer speeds, and energy-efficient operation. It is also considered to be more resilient against radio interference, with high security, high data transfer speeds, and energy-efficient operation. Despite these advantages, OWC for in-body communication (IBC) remains relatively uncharted territory in modelling and practical experimentation. In this study, we modelled OWC for IBC systems, focusing on capacity rate estimation. The model considered the optical source of 633 nm wavelength and other essential system parameters, including the photodiode's active area, responsivity, dark current, circuitry resistance, and bandwidth, in order to estimate the optical link performance based on the Shannon capacity rate across tissue depths ranging from 1 to 5 cm. We referred to the well-known model available from the Biophotonics website to determine the coefficients of the tissue properties. We tested our model by inputting parameters available from commercial photodiodes. It is shown that the capacity rates on IBC systems using OWC can reach ~8 Mbps. To simplify the process of estimating the achievable capacity rates at various tissue depths, we also provided the first version of a Matlab-based graphical user interface (GUI), including an option to upload optical properties corresponding to the wavelength used. Users could input crucial parameters related to the photodiode profile using this GUI. The GUI provides detailed information on calculating received optical power, photocurrent, noise levels, and signal-to-noise ratio (SNR).
Pacemakers, heart defibrillators, smart pills, insulin pumps, and cochlear implants are examples of in-body devices. Typically, they need to communicate with out-body devices for various clinical purposes. Traditionally, these devices rely on communication technologies exploiting radio waves and acoustics. Optical wireless communication (OWC) offers several fundamental advantages over conventional connectivity approaches, such as resilient operation against radio interference, high security, high data transfer speeds, and energy-efficient operation. It is also considered to be more resilient against radio interference, with high security, high data transfer speeds, and energy-efficient operation. Despite these advantages, OWC for in-body communication (IBC) remains relatively uncharted territory in modelling and practical experimentation. In this study, we modelled OWC for IBC systems, focusing on capacity rate estimation. The model considered the optical source of 633 nm wavelength and other essential system parameters, including the photodiode's active area, responsivity, dark current, circuitry resistance, and bandwidth, in order to estimate the optical link performance based on the Shannon capacity rate across tissue depths ranging from 1 to 5 cm. We referred to the well-known model available from the Biophotonics website to determine the coefficients of the tissue properties. We tested our model by inputting parameters available from commercial photodiodes. It is shown that the capacity rates on IBC systems using OWC can reach ~8 Mbps. To simplify the process of estimating the achievable capacity rates at various tissue depths, we also provided the first version of a Matlab-based graphical user interface (GUI), including an option to upload optical properties corresponding to the wavelength used. Users could input crucial parameters related to the photodiode profile using this GUI. The GUI provides detailed information on calculating received optical power, photocurrent, noise levels, and signal-to-noise ratio (SNR).
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