Literature Database Entry

debus2024synchronized

Lisa Y. Debus, Pit Hofmann, Jorge Torres Gómez, Frank H. P. Fitzek and Falko Dressler, "Synchronized Relaying in Molecular Communication: An AI-based Approach using a Mobile Testbed Setup," Proceedings of 8th Workshop on Molecular Communications (WMC 2024), Oslo, Norway, April 2024.

Abstract

Relay mechanisms are an important part of communication systems and therefore naturally occurring molecular communication (MC) links. Multiple techniques have been proposed on how to design MC relay-aided setups, assuming synchronous operation and perfect timing during the decoding process. In this paper, we propose the use of 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 for a macroscale MC testbed in a two-hop MC link with mobility and show its advantages compared to filter-based maximum likelihood (ML) synchronization. Our results exhibit the potential of an RL-based synchronizer with an equally high detection rate, a false positive rate two orders 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
Frank H. P. Fitzek
Falko Dressler

BibTeX reference

@inproceedings{debus2024synchronized,
    author = {Debus, Lisa Y. and Hofmann, Pit and Torres G{\'{o}}mez, Jorge and Fitzek, Frank H. P. and Dressler, Falko},
    title = {{Synchronized Relaying in Molecular Communication: An AI-based Approach using a Mobile Testbed Setup}},
    address = {Oslo, Norway},
    booktitle = {8th Workshop on Molecular Communications (WMC 2024)},
    month = {4},
    year = {2024},
   }
   
   

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Last modified: 2024-04-28