Literature Database Entry

debus2024synchronized


Lisa Y. Debus, Pit Hofmann, Jorge Torres Gómez and Falko Dressler, "Synchronized Relaying in Molecular Communication: An AI-based Approach using a Mobile Testbed Setup," IEEE Transactions on Molecular, Biological and Multi-Scale Communications, June 2024. (online first)


Abstract

Relay mechanisms are an important part of commu- nication systems and, therefore, naturally occurring molecular communication (MC) links. Multiple techniques have been proposed for designing MC relay-aided setups, assuming synchronous operation and perfect timing during the decoding process. In this paper, we propose using a reinforcement learning (RL)-based synchronizer to continually adapt a decoding threshold and detect transmitted synchronization frames in a dynamic MC environment. We implement our approach in a two-hop MC link model with mobility and show its advantages compared to filter- based maximum likelihood (ML) synchronization. Thereby, we utilized a macroscale, air-based MC testbed for the experimental determination of the channel impulse response (CIR) for a more realistic channel model. Our simulation results exhibit the potential of an RL-based synchronizer with a similarly high detection rate, a false positive rate one order of magnitude lower, and a misalignment several bit times lower compared to the state of the art.

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Lisa Y. Debus
Pit Hofmann
Jorge Torres Gómez
Falko Dressler

BibTeX reference

@article{debus2024synchronized,
    author = {Debus, Lisa Y. and Hofmann, Pit and Torres G{\'{o}}mez, Jorge and Dressler, Falko},
    doi = {10.1109/TMBMC.2024.3420792},
    note = {to appear},
    title = {{Synchronized Relaying in Molecular Communication: An AI-based Approach using a Mobile Testbed Setup}},
    journal = {IEEE Transactions on Molecular, Biological and Multi-Scale Communications},
    issn = {2332-7804},
    publisher = {IEEE},
    month = {6},
    year = {2024},
   }
   
   

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Last modified: 2024-07-19