Research On Molecular Communication Channel Of Biological Microenvironment

With the development of nanotechnology,nanomachines based on bio-inspired mechanisms have begun to appear in laboratories,such as artificial cells and DNA robots.Nanoworks composed of nanomachines have great application prospects in the fields of medicine and so on.Existing nanoworks are mainly used in in-vivo medical research,such as targeted drug delivery,so nanoworks are considered as a component of body area networks.Due to the limitations of size and power,a single nanomachine can only accomplish relatively simple tasks.To accomplish complex tasks,multiple nanomachines are required to collaborate,so communication between nanomachines is indispensable.For the constraints of energy consumption and volume,traditional electromagnetic wave communication cannot achieve the desired performance,which promotes the birth of a new communication technology,molecular communication.Molecular communication is still in the stage of theoretical research,and its channel model has not been fully studied as an important branch.According to the knowledge of information theory and communication principle,this thesis studies the diffusion-based molecular communication channel from two aspects.Firstly,the end-to-end channel model is used to analyze the channel capacity for single-input single-output(SISO)channel,and the influence of channel parameters on channel capacity.An N3 Sim simulator is used to analyze the influence of the presence of adjacent receiving nano-machines on inter-symbol interference(ISI).Secondly,multi-input multi-output(MIMO)technique is introduced to improve the transmission rate.Because of the existence of ISI and inter-link interference(ILI)in MIMO channel,the repetitive MIMO spatial coding is applied at the transmitter,and the combination strategy of selective diversity and equal gain combining is used at receiver to reduce bit error rate.