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- W2487978485 abstract "In this paper, we demonstrate that Gaussian mixture distribution is a suitable model for the number of received molecules when on-off keying (OOK) modulation scheme is used in diffusion-based Molecular Communication (MC) systems. Using the proposed Gaussian mixture model, we design a receiver by minimizing the error probability. An iterative algorithm is derived to determine a threshold value which minimizes a linear approximation of the error probability at each iteration. Numerical evaluations reveal that our theoretical analysis based on the Gaussian mixture model match our simulation very closely. Furthermore, we propose a memory-based receiver in which previously detected symbols are considered in deriving the detection algorithm. Computer simulations confirm that the memory-based receiver effectively eliminates inter-symbol interference (ISI) and significantly improves the bit error rate (BER) performance of the system." @default.
- W2487978485 created "2016-08-23" @default.
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- W2487978485 date "2016-05-01" @default.
- W2487978485 modified "2023-09-23" @default.
- W2487978485 title "Receiver design for diffusion-based molecular communication: Gaussian mixture modeling" @default.
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- W2487978485 doi "https://doi.org/10.1109/icc.2016.7511444" @default.
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