In this paper, spatial transmission techniques in the area of multiple-input multiple-output (MIMO) diffusion-based molecular communications (DBMC) are investigated. For transmitter-side spatial coding, Alamouti-type coding and repetition MIMO coding are analyzed. At the receiver-side, selection diversity and equal-gain combining are studied as combining strategies. Throughout the numerical analysis, a symmetrical 2 × 2 MIMO-DBMC system is assumed. Furthermore, a trained artificial neural network is utilized to acquire the channel impulse responses. The numerical analysis demonstrates that there is no spatial diversity gain in the DBMC system under investigation, but that it is possible to achieve an array gain instead. In addition, it is shown that for MIMO-DBMC systems repetition MIMO coding is superior to Alamouti-type coding.
Bibliographical noteFunding Information:
The work of H. B. Yilmaz and C.-B. Chae was supported in part by the Basic Science Research Program through the NRF of Korea under Grant 2017R1A1A1A05001439 and Grant 2016K2A9A1A06926542 and in part by the Ministry of Science and ICT, South Korea, through the ICT Consilience Creative Program under Grant IITP-2018-2017-0-01015.
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Materials Science(all)