Journal of System Simulation
Abstract
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.
Recommended Citation
Zhen, Cheng; Fei, Lin; Lei, Yanjing; and Zhao, Huiting
(2018)
"Channel Capacity Analysis of Diffusion-based Molecular Communication Model,"
Journal of System Simulation: Vol. 30:
Iss.
6, Article 5.
DOI: 10.16182/j.issn1004731x.joss.201806005
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol30/iss6/5
First Page
2036
Revised Date
2016-10-10
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201806005
Last Page
2043
CLC
TP391.9
Recommended Citation
Cheng Zhen, Lin Fei, Lei Yanjing, Zhao Huiting. Channel Capacity Analysis of Diffusion-based Molecular Communication Model[J]. Journal of System Simulation, 2018, 30(6): 2036-2043.
DOI
10.16182/j.issn1004731x.joss.201806005
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