Journal of System Simulation ›› 2018, Vol. 30 ›› Issue (6): 2036-2043.doi: 10.16182/j.issn1004731x.joss.201806005

• Orginal Article • Previous Articles     Next Articles

Channel Capacity Analysis of Diffusion-based Molecular Communication Model

Cheng Zhen, Lin Fei, Lei Yanjing, Zhao Huiting   

  1. School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
  • Received:2016-07-26 Revised:2016-10-10 Online:2018-06-08 Published:2018-06-14

Abstract: At present, the research on the channel capacity of diffusion-based molecular communication (DBMC) model is very limited. In the slotted point to point communication scenario, considering all the inter-symbol interferences from all the previous time slots, the optimal decisive threshold is provided by using the criterion of minimum average error probability in the detection process for the receiver nanomachine, and the mutual information expression is derived in DBMC model. Thus channel capacity of this model is analyzed. The simulation results show that the different parameters have important influences on the channel capacity. Compared to the existed point to point molecular communication model, DBMC model can use less number of molecules and significantly improve the channel capacity.

Key words: diffusion-based molecular communication, optimal decision threshold, mutual information, channel capacity

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