Spatial coding techniques for molecular MIMO

Martin Damrath, H. Birkan Yilmaz, Chan Byoung Chae, Peter Adam Hoeher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents spatial diversity techniques applied to multiple-input multiple-output (MIMO) diffusion-based molecular communications (DBMC). Two types of spatial coding techniques, namely Alamouti-type coding and repetition MIMO coding are suggested and analyzed. In addition, we consider receiver-side equal-gain combining, which is equivalent to maximum-ratio combining in symmetrical scenarios. For numerical analysis, the channel impulse responses of a symmetrical 2 × 2 MIMO-DBMC system are acquired by a trained artificial neural network. It is demonstrated that spatial diversity has the potential to improve the system performance and that repetition MIMO coding outperforms Alamouti-type coding.

Original languageEnglish
Title of host publication2017 IEEE Information Theory Workshop, ITW 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages324-328
Number of pages5
ISBN (Electronic)9781509030972
DOIs
Publication statusPublished - 2018 Jan 31
Event2017 IEEE Information Theory Workshop, ITW 2017 - Kaohsiung, Taiwan, Province of China
Duration: 2017 Nov 62017 Nov 10

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2018-January
ISSN (Print)2157-8095

Other

Other2017 IEEE Information Theory Workshop, ITW 2017
CountryTaiwan, Province of China
CityKaohsiung
Period17/11/617/11/10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Spatial coding techniques for molecular MIMO'. Together they form a unique fingerprint.

  • Cite this

    Damrath, M., Yilmaz, H. B., Chae, C. B., & Hoeher, P. A. (2018). Spatial coding techniques for molecular MIMO. In 2017 IEEE Information Theory Workshop, ITW 2017 (pp. 324-328). (IEEE International Symposium on Information Theory - Proceedings; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITW.2017.8278035