Received signal modeling and BER analysis for molecular SISO communications.

A well-modeled molecular communication (MC) channel is crucial for the development of required equipment. Previous models, however, have often considered ideal receivers with perfect absorption, which resulted in impractical results. Here, we propose an improved model consisting of a partially absorbing receiver with four unique parameters, whose values are determined using Particle Swarm Optimization (PSO). We evaluate the Root Mean Square Error (RMSE) performance of our model in the estimated received molecules, which shows consistent results for different transmitter-to-receiver distances or receiver radii, besides a five times improvement in the cumulative number of received molecules compared to that of previous models. We also consider two new Concentration Shift Keying (CSK) modulation schemes, in addition to typical ones, and analyze the trend of Bit Error Rate (BER) and detection threshold for these schemes at different channel lengths. Finally, we investigate the feasibility of Hamming code correction on these schemes and show that the third-order Hamming-corrected BCSK (Binary CSK) modulation is the best for the proposed SISO model.