Channel modeling for in-body optical wireless communications
Stylianos E. Trevlakis, Alexandros-Apostolos A. Boulogeorgos, Nestor, D. Chatzidiamantis, George K. Karagiannidis

TL;DR
This paper develops novel analytical models for in-to-out-of optical wireless communication channels in the body, accurately capturing tissue absorption and scattering effects to improve biomedical communication system design.
Contribution
It introduces new pathloss and scattering models that incorporate tissue-specific absorption and scattering, validated against experimental data, advancing in-body optical communication modeling.
Findings
Accurately models absorption for five main tissue constituents.
Validates the theoretical framework with experimental data.
Enables improved design of biomedical optical communication protocols.
Abstract
Next generation in-to-out-of body biomedical applications have adopted optical wireless communications (OWCs). However, by delving into the published literature, a gap is recognised in modeling the in-to-out-of channel, since most published contributions neglect the particularities of different type of tissues. Towards this direction, in this paper we present a novel pathloss and scattering models for in-to-out-of OWC links. Specifically, we derive extract analytical expressions that accurately describe the absorption of the five main tissues' constituents, namely fat, water, melanin, oxygenated and de-oxygenated blood. Moreover, we formulate a model for the calculation of the absorption coefficient of any generic biological tissue. Next, by incorporating the impact of scattering in the aforementioned model we formulate the complete pathloss model. The developed theoretical framework is…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Body Area Networks · Molecular Communication and Nanonetworks
