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

3 Citations (Scopus)


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.
Number of pages5
ISBN (Electronic)9781509030972
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
ISSN (Print)2157-8095


Other2017 IEEE Information Theory Workshop, ITW 2017
Country/TerritoryTaiwan, Province of China

Bibliographical note

Funding Information:
ACKNOWLEDGMENT The work of H. B. Yilmaz and C.-B. was in part supported by the Basic Science Research Program (2017R1A1A1A05001439) through the NRF of Korea.

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

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


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