A novel experimental platform for in-vessel multi-chemical molecular communications

Nariman Farsad, David Pan, Andrea Goldsmith

Research output: Contribution to journalConference articlepeer-review

84 Scopus citations

Abstract

This work presents a new multi-chemical experimental platform for molecular communication (MC) where the transmitter can release different chemicals. This platform is designed to be inexpensive and accessible, and it can be expanded to simulate different environments such as a portion of the body's cardiovascular system or a complex network of pipes in industrial complexes and city infrastructures. To demonstrate the capabilities of the platform, we implement a time-slotted binary communication system where information is carried via the pH of transmitted signals and, in particular, a 0-bit is represented by an acid pulse, and a 1-bit by a base pulse. The channel model for this system, which is nonlinear and has a long memory due to chemical reactions, is unknown. Therefore, we devise novel detection algorithms that use techniques from machine learning and deep learning to train a maximum-likelihood detector. Using these algorithms, the bit error rate (BER) improves by an order of magnitude relative to the approach used in previous works. Moreover, our system achieves a data rate that is an order of magnitude higher than any of the previous MC platforms.

Original languageEnglish (US)
Pages (from-to)1-6
Number of pages6
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
Volume2018-January
DOIs
StatePublished - 2017
Externally publishedYes
Event2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore
Duration: Dec 4 2017Dec 8 2017

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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