EAI Endorsed Transactions on Self-Adaptive Systems 16(8): e1

Research Article

Capacity of Multilayer Diffusion-based Molecular Communication (DBMC) Channel

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  • @ARTICLE{10.4108/eai.3-12-2015.2262502,
        author={Saizalmursidi Md Mustam and Sharifah Kamilah Syed Yusof and Suleiman Zubair},
        title={Capacity of Multilayer Diffusion-based Molecular Communication (DBMC) Channel},
        journal={EAI Endorsed Transactions on Self-Adaptive Systems},
        volume={16},
        number={8},
        publisher={ACM},
        journal_a={SAS},
        year={2016},
        month={5},
        keywords={nanocommunication, diffusion-based molecular communication (dbmc), multilayer channels model, channel capacity},
        doi={10.4108/eai.3-12-2015.2262502}
    }
    
  • Saizalmursidi Md Mustam
    Sharifah Kamilah Syed Yusof
    Suleiman Zubair
    Year: 2016
    Capacity of Multilayer Diffusion-based Molecular Communication (DBMC) Channel
    SAS
    EAI
    DOI: 10.4108/eai.3-12-2015.2262502
Saizalmursidi Md Mustam1,*, Sharifah Kamilah Syed Yusof2, Suleiman Zubair2
  • 1: Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia (UTHM) 86400 Parit Raja, Batu Pahat, Johor, Malaysia.
  • 2: UTM-MIMOS Centre of Excellence (CoE) in Telecommunication Technology, Faculty of Electrical Engineering, Universiti Teknologi Malaysia (UTM) 81310 Johor Bahru, Johor, Malaysia
*Contact email: saizal@uthm.edu.my

Abstract

In diffusion-based molecular communication (DBMC) system, information is encoded in the variation of molecules such as amounts, time shifts, or different molecule types, at a transmitter nanomachine (TN). These molecules are then released and propagated through a channel towards a receiver nanomachine (RN). One of the most important performance matrices in evaluating this system from an information theory perspective is channel capacity. This paper provides a derivation of capacity expression for multilayer DBMC channel in which the propagation of molecules from the TN to the RN through multiple channels follows the Brownian motion and modeled by Fick's equations. The Fourier transforms is employed to convert time to frequency domain functions. The results show that the maximum capacity can be obtained by increasing both the bandwidth and the average transmitted power, and decreasing the TN-RN distance.