2025/06/17 by Yaning Zhao, Luca Miszewski, Zhao, Yaning +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Engineering · #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Information Theory (cs.IT) #Molecular Communication and Nanonetworks
paper · pdf · doi:10.48550/arxiv.2506.14360
openalex publication_date 2025/06/17 · openalex created_date 2025/10/18 · openalex updated_date 2026/08/01
Molecular communication (MC) enables information exchange at the nano- and microscale, with applications in areas like drug delivery and health monitoring. These event-driven scenarios often require alternatives to traditional transmission. Identification communication, introduced by Ahlswede and Dueck, offers such an approach, in which the receiver only determines whether a specific message was sent, suiting resource-limited and event-triggered systems. This paper combines MC with identification and proposes a one-dimensional (1D) diffusion-based model. Diffusion noise is modeled as a Poisson process, and a lower bound on channel capacity is derived. Simulations, microscopic, and with short-length deterministic codes, validate theoretical results, including the channel impulse response and error bounds. The findings support the design of practical MC systems, with potential use in testbed development.