Modified Inverse Source Coding for Diffusion Based Molecular Communication System

In this paper we prove that Inter-Symbol Interference (ISI) and Bit Error Rate (BER) of a Diffusion Based Molecular Communication (DBMC) system depend on the a-priori probability of the transmitted data by deriving lower and upper bounds for the number of received molecules. We also compute the optimal value of a-priori probability for which ISI and BER are minimized. A source coding technique, called Modified Inverse Source Coding (MISC), is proposed that allows to control the a-priori probability of the transmitted data. The results show that the MISC-DBMC system not only provides a better BER performance compared to an uncoded one but also improves the range of communication.