Synthetic biology, through genetic circuit engineering in biological cells, is paving the way toward the realization of programmable man-made living devices, able to naturally operate within normally less accessible domains, i.e., the biological and the nanoscale. The control of the information processing and exchange between these engineered-cell devices, based on molecules and biochemical reactions, i.e., molecular communication (MC), will be enabling technologies for the emerging paradigm of the Internet of Bio-Nano Things, with applications ranging from tissue engineering to bioremediation. In this paper, the design of genetic circuits to enable MC links between engineered cells is proposed by stemming from techniques for information coding and inspired by recent studies favoring the efficiency of analog computation over digital in biological cells. In particular, the design of a joint encoder-modulator for the transmission of binary-modulated molecule concentration is coupled with a decoder that computes the a-posteriori log-likelihood ratio of the information bits from the propagated concentration. These functionalities are implemented entirely in the biochemical domain through activation and repression of genes, and biochemical reactions, rather than classical electrical circuits. Biochemical simulations are used to evaluate the proposed design against a theoretical encoder/decoder implementation taking into account impairments introduced by diffusion noise.

Regarded as one of the future enabling technologies of the Internet of Things at the biological and nanoscale domains, Molecular Communication (MC) promises to enable applications in healthcare, environmental protection, and bioremediation, amongst others. Since MC is directly inspired by communication processes in biological cells, the engineering of biological circuits through cells' genetic code manipulation, which enables access to the cells' information processing abilities, is a candidate technology for the future realization of MC components. In this paper, inspired by previous research on channel coding schemes for MC and biological circuits for cell communications, a joint encoder and modulator design is proposed for the transmission of cellular information through signaling molecules. In particular, the information encoding and modulation are based on a binary parity check scheme, and they are implemented by interconnecting biological circuit components based on gene expression and mass action reactions. Each component is mathematically modeled and tuned according to the desired output. The implementation of the biological circuit in a simulation environment is then presented along with the corresponding numerical results, which validate the proposed design by showing agreement with an ideal encoding and modulator scheme.

Molecular Communication (MC) is an enabling paradigm for the interconnection of future devices and networks in the biological environment, with applications ranging from bio-medicine to environmental monitoring and control. The engineering of biological circuits, which allows to manipulate the molecular information processing abilities of biological cells, is a candidate technology for the realization of MC-enabled devices. In this paper, inspired by recent studies favoring the efficiency of analog computation over digital in biological cells, an analog decoder design is proposed based on biological circuit components. In particular, this decoder computes the a-posteriori log-likelihood ratio of parity-check-encoded bits from a binary-modulated concentration of molecules. The proposed design implements the required L-value and the box-plus operations entirely in the biochemical domain by using activation and repression of gene expression, and reactions of molecular species. Each component of the circuit is designed and tuned in this paper by comparing the resulting functionality with that of the corresponding analytical expression. Despite evident differences with classical electronics, biochemical simulation data of the resulting biological circuit demonstrate very close performance in terms of Mean Squared Error (MSE) and Bit Error Rate (BER), and validate the proposed approach for the future realization of MC components.