{"id":{"repo_id":"essex","oai_identifier":"oai:repository.essex.ac.uk:22451"},"canonical_url":"https://search.dev.ndltd.org/etd/essex/oai:repository.essex.ac.uk:22451","repository":{"repo_id":"essex","name":"University of Essex","base_url":"https://repository.essex.ac.uk/cgi/oai2"},"display":{"title":"Channel Modelling of Blood Capillary-based Molecular Communication","abstract":"Molecular communication (MC) is a new and promising interdisciplinary bio-inspired communication paradigm, which uses molecules as information carriers. Differing from traditional communication, MC is proposed as a feasible solution for nanoscale communication with the help of biological scenarios to overcome the communication limitations. Meanwhile, it is inspired by intracellular and intercellular communication, which involves exchange of information through the transmission, propagation, and reception of molecules. Blood capillaries, extensively distributed in the human body and mutually connected with tissues, are potentially applied to MC, which is the major motivation of this thesis. The focus of this PhD thesis is on the channel modelling of blood capillaries or blood vessels. The objectives of the research are to provide solutions to the modelling of blood capillary-based MC from a communication engineering and information theory perspective. The relationship of the biological scenario in blood capillaries to a communication system is studied. After demonstrating the mapping from biological phenomenon to emission, propagation and reception processes, system models are established. There are three models of blood capillaries behind different biological scenarios. Firstly, the thesis establishes a basic model of vesicle release, vesicle diffusion through blood capillary and ligand reception processes within the endocrine phenomenon. Moreover, differing from previous research in macroscopic Fick's diffusion, this work involves microscopic Langevin diffusion to describe the propagation process with a frequency domain method being proposed to calculate the information-theoretical performance channel capacity. Secondly, a much more realistic blood capillary model with blood flow drift which matches a laminar flow regime is presented, where a generalised Langevin equation is used to model the drift force exerted by blood flow. Finally, the thesis establishes a single input and multiple output MC model with hierarchical levels of Y-shaped bifurcation of blood capillaries, then BER, SNR, and channel capacity performance are analysed.","abstract_html":"Molecular communication (MC) is a new and promising interdisciplinary bio-inspired communication paradigm, which uses molecules as information carriers. Differing from traditional communication, MC is proposed as a feasible solution for nanoscale communication with the help of biological scenarios to overcome the communication limitations. Meanwhile, it is inspired by intracellular and intercellular communication, which involves exchange of information through the transmission, propagation, and reception of molecules. Blood capillaries, extensively distributed in the human body and mutually connected with tissues, are potentially applied to MC, which is the major motivation of this thesis. The focus of this PhD thesis is on the channel modelling of blood capillaries or blood vessels. The objectives of the research are to provide solutions to the modelling of blood capillary-based MC from a communication engineering and information theory perspective. The relationship of the biological scenario in blood capillaries to a communication system is studied. After demonstrating the mapping from biological phenomenon to emission, propagation and reception processes, system models are established. There are three models of blood capillaries behind different biological scenarios. Firstly, the thesis establishes a basic model of vesicle release, vesicle diffusion through blood capillary and ligand reception processes within the endocrine phenomenon. Moreover, differing from previous research in macroscopic Fick's diffusion, this work involves microscopic Langevin diffusion to describe the propagation process with a frequency domain method being proposed to calculate the information-theoretical performance channel capacity. Secondly, a much more realistic blood capillary model with blood flow drift which matches a laminar flow regime is presented, where a generalised Langevin equation is used to model the drift force exerted by blood flow. Finally, the thesis establishes a single input and multiple output MC model with hierarchical levels of Y-shaped bifurcation of blood capillaries, then BER, SNR, and channel capacity performance are analysed.","abstract_has_math":false,"creators":["Sun, Yue"],"institution":"University of Essex","degree_name":"phd","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-07","date_published":"2018-07","updated_at":"2026-07-24T02:18:21Z","subjects":[],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Sun, Yue"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2018-07"]},{"key":"dc:date.issued","label":"Date","values":["2018-07"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["School of Computer Science and Electronic Engineering"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Essex"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://repository.essex.ac.uk/22451/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["phd"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://repository.essex.ac.uk/22451/1/PhDThesis.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Molecular communication (MC) is a new and promising interdisciplinary bio-inspired communication paradigm, which uses molecules as information carriers. Differing from traditional communication, MC is proposed as a feasible solution for nanoscale communication with the help of biological scenarios to overcome the communication limitations. Meanwhile, it is inspired by intracellular and intercellular communication, which involves exchange of information through the transmission, propagation, and reception of molecules. Blood capillaries, extensively distributed in the human body and mutually connected with tissues, are potentially applied to MC, which is the major motivation of this thesis. The focus of this PhD thesis is on the channel modelling of blood capillaries or blood vessels. The objectives of the research are to provide solutions to the modelling of blood capillary-based MC from a communication engineering and information theory perspective. The relationship of the biological scenario in blood capillaries to a communication system is studied. After demonstrating the mapping from biological phenomenon to emission, propagation and reception processes, system models are established. There are three models of blood capillaries behind different biological scenarios. Firstly, the thesis establishes a basic model of vesicle release, vesicle diffusion through blood capillary and ligand reception processes within the endocrine phenomenon. Moreover, differing from previous research in macroscopic Fick's diffusion, this work involves microscopic Langevin diffusion to describe the propagation process with a frequency domain method being proposed to calculate the information-theoretical performance channel capacity. Secondly, a much more realistic blood capillary model with blood flow drift which matches a laminar flow regime is presented, where a generalised Langevin equation is used to model the drift force exerted by blood flow. Finally, the thesis establishes a single input and multiple output MC model with hierarchical levels of Y-shaped bifurcation of blood capillaries, then BER, SNR, and channel capacity performance are analysed."]},{"key":"dc:format","label":"Dc Format","values":["text"]},{"key":"dc:title","label":"Title","values":["Channel Modelling of Blood Capillary-based Molecular Communication"]}]}],"canonical_facts":{"dc:creator":["Sun, Yue"],"dc:date":["2018-07"],"dc:date.issued":["2018-07"],"dc:description.abstract":["Molecular communication (MC) is a new and promising interdisciplinary bio-inspired communication paradigm, which uses molecules as information carriers. Differing from traditional communication, MC is proposed as a feasible solution for nanoscale communication with the help of biological scenarios to overcome the communication limitations. Meanwhile, it is inspired by intracellular and intercellular communication, which involves exchange of information through the transmission, propagation, and reception of molecules. Blood capillaries, extensively distributed in the human body and mutually connected with tissues, are potentially applied to MC, which is the major motivation of this thesis. The focus of this PhD thesis is on the channel modelling of blood capillaries or blood vessels. The objectives of the research are to provide solutions to the modelling of blood capillary-based MC from a communication engineering and information theory perspective. The relationship of the biological scenario in blood capillaries to a communication system is studied. After demonstrating the mapping from biological phenomenon to emission, propagation and reception processes, system models are established. There are three models of blood capillaries behind different biological scenarios. Firstly, the thesis establishes a basic model of vesicle release, vesicle diffusion through blood capillary and ligand reception processes within the endocrine phenomenon. Moreover, differing from previous research in macroscopic Fick's diffusion, this work involves microscopic Langevin diffusion to describe the propagation process with a frequency domain method being proposed to calculate the information-theoretical performance channel capacity. Secondly, a much more realistic blood capillary model with blood flow drift which matches a laminar flow regime is presented, where a generalised Langevin equation is used to model the drift force exerted by blood flow. 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