PROJECT TITLE :

Molecular MIMO: From Theory to Prototype

ABSTRACT:

In diffusion-based molecular communication, information transport is ruled by diffusion through a fluid medium. The achievable information rates for these channels are very low compared to the radio-primarily based communication system, since diffusion can be a slow process. To improve the info rate, a novel multiple-input multiple-output (MIMO) style for molecular communication is proposed that utilizes multiple molecular emitters at the transmitter and multiple molecular detectors at the receiver (in RF communication these all correspond to antennas). Using particle-based mostly simulators, the channel's impulse response is obtained and mathematically modeled. These models are then used to see interlink interference (ILI) and intersymbol interference (ISI). It's assumed that when the receiver has incomplete info regarding the system and therefore the channel state, low complexity image detection strategies are most well-liked since the receiver is small and straightforward. So, four detection algorithms are proposed-adaptive thresholding, practical zero forcing with channel models excluding/including the ILI and ISI, and Genie-aided zero forcing. The proposed algorithms are evaluated extensively using numerical and analytical evaluations.