Frequency Domain Analysis and Equalization for Molecular Communication

Molecular Communication (MC) is a promising micro-scale technology that enables wireless connectivity in electromagnetically challenged conditions. The signal processing approaches MC are different from conventional communications as molecular signals suffer severe inter-symbol interference (ISI) and signal-dependent counting noise due to the stochastic diffusion process of information molecules. One main challenges high computational complexity existing time-domain ISI mitigation schemes display third-order polynomial or even exponential growth with length, which further exasperated under symbol rate case. For first time, we develop frequency-domain equalization (FDE) lower complexity, capable achieving independence effects. This innovation grounded our characterization channel frequency response signals, facilitating design receiver sampling strategies. However, perfect power unavailable optimal minimum mean square error (MMSE) equalizer. We address this issue by exploiting statistical transmit decision feedback for estimation, designing novel MMSE equalizers low complexity. FDE successfully developed its immunity effects, cost has only logarithmic length each block.