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Type-based sign modulation and its application for isi mitigation in molecular communication

Mosayebi, R ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1109/TCOMM.2017.2754492
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2018
  4. Abstract:
  5. While ISI is a common issue in classical communications, it is more challenging and prominent in the context of molecular communication, because one cannot readily combat ISI with classical channel equalization techniques. This is due to the fact that transmitter can only release a positive amount of concentration of a specific molecule into the medium. Previous works have proposed use of chemical reactions to remove molecules from the environment, and to effectively simulate negative signals. However, the differential equation describing a diffusion-reaction process is non-linear. This precludes the possibility of using Fourier transform tools. In this paper, a solution for simulating negative signals based on the diffusion-reaction channel model is proposed. While the proposed solution does not exploit the full degrees of freedom available for signaling in a diffusion-reaction process, but its end-to-end system is a linear channel and amenable to Fourier transform analysis. Based on our solution, a modulation scheme and a precoder are introduced and shown to have a significant reduction in error probability compared with previous modulation schemes, such as concentration shift keying (CSK), pre-equalization, depleted-molecule shift keying (D-MoSK), and molecular concentration shift keying (MCSK). The effects of various imperfections (such as quantization error) on the communication system performance are studied. © 2017 IEEE
  6. Keywords:
  7. Diffusion-reaction ; Interference elimination ; Sign modulation ; Chemicals ; Degrees of freedom (mechanics) ; Differential equations ; Equalizers ; Ions ; Mathematical transformations ; Molecules ; Receivers (containers) ; Transmitters ; Channel equalization ; Classical communication ; Communication system performance ; Diffusion-reaction process ; Error probabilities ; Fourier transform analysis ; Molecular communication ; Quantization errors ; Modulation
  8. Source: IEEE Transactions on Communications ; Volume 66, Issue 1 , 2018 , Pages 180-193 ; 00906778 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8047260