|RATTI FRANCESCA||Cycle: XXXIV |
Tutor: MARTELLI PAOLO
Advisor: MAGARINI MAURIZIO Major Research topic
:On the information exchange performances in molecular communication systemsAbstract:
Molecular Communication (MC) is an emerging technology directly inspired by natural communication between cells in biology. In MC the information is encoded into and decoded from molecules, rather than electromagnetic waves, thus exploiting biological materials to enable communication among biological nanomachines, which are existing or artificially synthesized small-scale devices. Some examples of nanomachines are genetically engineered cells, molecular motors, biological and artificial cells, synthetic molecules, and bio-silicon hybrid devices. The project focuses on the application of communication and information theory concepts to the field of MC. Our objectives are articulated on the design of synthetic biological circuits to exploit, control, and enhance the performance of digital MC systems, where the concentration of molecules released at the transmitting cell is transported to the receiving cell solely by diffusion through a fluid medium. The main objective of our research is that of understanding how to maximize the reliable information exchange, thus how to maximize the information exchange performances, in MC systems. In particular, The main novelty consists of the application and study of techniques (both data-driven and analytical) to estimate upper and lower bounds of mutual information when constraints are set on the input concentration during cell-to-cell communication. In this way, we are applying concepts of information theory such as mutual information, channel capacity, and sampling theorem to a biological circuit, that, despite evident differences with classical electronic circuits, evidence performances close to the ideal ones.