Recent progress in bioresorbable radio frequency electronics and engineered bacteria has promised the prospect of realizing a transient microbot (TM) system for therapeutic applications. The inorganic or organic miniature robots will dissolve into the human body after completing the required tasks and cause no side-effect. In this paper, we propose a potential architecture of a TM system for transporting pharmaceutical compounds inside the body, and analyze the system using a micro-to-macro cross-scale communication model. The remote controllability and tangibility of a TM essentially lead to a touch-communication (TouchCom) paradigm. Externally maneuverable and trackable TMs are responsible for the delivery of drug particles (information molecules in the TouchCom context). The loading/injection and unloading of the drug correspond to the transmitting and receiving processes in the TouchCom framework. Subsequently, we investigate simulation tools for the propagation and transient characteristics of TMs in the blood vessels. We also define the propagation delay, path loss, as well as angular and delay spectra of targeting intensity, which are parallel to their counterpart concepts in the conventional wireless channel. Finally, our approach is illustrated with comprehensive simulation studies of targeted drug delivery by using the proposed analytical framework integrating robotics and communications at crossover length scales. The proposed methodology may find important applications in the design and analysis of TM-assisted administration of pharmaceutical compounds.
We consider the novel paradigm of nanoscale transient communication (NTC), where certain components of the small-scale communication link are physically transient. As such, the transmitter and the receiver may change their properties over a prescribed lifespan due to their time-varying structures. The NTC systems may find important applications in the biomedical, environmental, and military fields, where system degradability allows for benign integration into life and environment. In this paper, we analyze the NTC systems from the channel-modeling and capacity-analysis perspectives and focus on the stochastically meaningful slow transience scenario, where the coherence time of degeneration Td is much longer than the coding delay Tc. We first develop novel and parsimonious models to characterize the NTC channels, where three types of physical layers are considered: electromagnetism-based terahertz (THz) communication, diffusion-based molecular communication (DMC), and nanobots-assisted touchable communication (TouchCom). We then revisit the classical performance measure of ϵ-outage channel capacity and take a fresh look at its formulations in the NTC context. Next, we present the notion of capacity degeneration profile (CDP), which describes the reduction of channel capacity with respect to the degeneration time. Finally, we provide numerical examples to demonstrate the features of CDP. To the best of our knowledge, the current work represents a first attempt to systematically evaluate the quality of nanoscale communication systems deteriorating with time.
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