Abstract:
Molecular communication is a prominent technology that emerged from contem porary needs. Due to its low energy cost and simple system designs, it is an effective approach to communication on the nanoscale. Among the molecular system designs in the literature, although molecular single-input single-output (SISO) systems are one of the primary systems, they cannot match the required data transmission rate de mands. Inspired by the direction of the field, this thesis focuses on molecular multiple receiver networks. Interference is a crucial problem for molecular multiple-receiver systems which needs to be analyzed. To this point, a comprehensive investigation of molecular multiple-input multiple-output (MIMO) systems in terms of communication performance and channel state information is performed. Results exhibit the channel characteristics in detail. As the analysis becomes the backbone of further designs, two interference-mitigating methods for molecular SISO systems are applied to molecular MIMO systems. The expectations of the interference at each receiver can be estimated and subtracted from signals to detect the information more accurately. Additionally, a pre-equalization method is employed in molecular MIMO systems. Utilizing different molecule types to remove interference from signals has shown an increase in perfor mance for higher data transmission rates. Furthermore, a novel channel modeling for molecular multiple- receiver systems is proposed, as it is the foundation of developing sophisticated systems and modulation schemes. Computer-based simulations showed that the proposed model offers well channel characterization of such systems, and the model is aimed to be the pioneer of future developments in nanonetworks.
