2018/08/11 by Ali Etemadi, Paeiz Azmi, Etemadi, Ali +5
Biochemistry, Genetics and Molecular Biology · Engineering · #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Information Theory (cs.IT) #Molecular Communication and Nanonetworks #Wireless Body Area Networks
paper · pdf · doi:10.48550/arxiv.1808.03876
openalex publication_date 2018/08/11 · openalex created_date 2022/08/04 · openalex updated_date 2026/07/28
Diffusion-based molecular communication (DMC) is one of the most promising\napproaches for realizing nano-scale communications for healthcare applications.\nThe DMC systems in in-vivo environments may encounter biological entities that\nrelease molecules identical to the molecules used for signaling as part of\ntheir functionality. Such entities in the environment act as external noise\nsources from the DMC system's perspective. In this paper, the release of\nmolecules by biological external noise sources is particularly modeled as a\ncompound Poisson process. The impact of compound Poisson noise sources (CPNSs)\non the performance of a point-to-point DMC system is investigated. To this end,\nthe noise from the CPNS observed at the receiver is characterized. Considering\na simple on-off keying (OOK) modulation and formulating symbol-by-symbol\nmaximum likelihood (ML) detector, the performance of DMC system in the presence\nof the CPNS is analyzed. For special case of CPNS in high-rate regime, the\nnoise received from the CPNS is approximated as a Poisson process whose rate is\nnormally distributed. In this case, it is proved that a simple single-threshold\ndetector (STD) is an optimal ML detector. Our results reveal that in general,\nadopting the conventional simple homogeneous Poisson noise model may lead to\noverly optimistic performance predictions, if a CPNS is present.\n