  This paper introduces the application of game theory to understand noisy
real-time signalling and the resulting behavioural dynamics in microscopic
populations such as bacteria and other cells. It presents a bridge between the
fields of molecular communication and microscopic game theory. Molecular
communication uses conventional communication engineering theory and techniques
to study and design systems that use chemical molecules as information
carriers. Microscopic game theory models interactions within and between
populations of cells and microorganisms. Integrating these two fields provides
unique opportunities to understand and control microscopic populations that
have imperfect signal propagation. Two examples, namely bacteria quorum sensing
and tumour cell signalling, are presented with potential games to demonstrate
the application of this approach. Finally, a case study of bacteria resource
sharing demonstrates how noisy signalling can alter the distribution of
behaviour.
