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

Fingerprint

Multiple-input multiple-output (MIMO)
Coding
Spatial Diversity
Impulse response
Numerical analysis
Communication systems
Neural networks
Communication
Impulse Response
Communication Systems
Artificial Neural Network
Numerical Analysis
System Performance
Receiver
Scenarios
Repetition

All Science Journal Classification (ASJC) codes

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

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
Damrath, Martin ; Yilmaz, H. Birkan ; Chae, Chan-Byoung ; Hoeher, Peter Adam. / Spatial coding techniques for molecular MIMO. 2017 IEEE Information Theory Workshop, ITW 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 324-328 (IEEE International Symposium on Information Theory - Proceedings).
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Damrath, M, Yilmaz, HB, Chae, C-B & Hoeher, PA 2018, Spatial coding techniques for molecular MIMO. in 2017 IEEE Information Theory Workshop, ITW 2017. IEEE International Symposium on Information Theory - Proceedings, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 324-328, 2017 IEEE Information Theory Workshop, ITW 2017, Kaohsiung, Taiwan, Province of China, 17/11/6. https://doi.org/10.1109/ITW.2017.8278035

Spatial coding techniques for molecular MIMO. / Damrath, Martin; Yilmaz, H. Birkan; Chae, Chan-Byoung; Hoeher, Peter Adam.

2017 IEEE Information Theory Workshop, ITW 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 324-328 (IEEE International Symposium on Information Theory - Proceedings; Vol. 2018-January).

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

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