Molecular communication,as an emerging communication technology,aims to transmit information by utilizing chemical molecules as information carriers.Research on molecular communication can provide more microscopic,reliable,and secure communication channels for future information transmission,and promote the integration of information technology with biotechnology,nanotechnology,and other fields.This paper is based on a diffusion-based molecular communication model,and focuses on channel model establishment,channel performance analysis,and experimental system validation.Several common and important channel models are modeled and analyzed for their channel characteristics.Firstly,this paper analyzes the current research status of theoretical models for molecular communication,including modulation techniques,coding techniques,detection techniques,and mobile molecular communication.Through these studies,we have a clearer understanding of the mainstream research directions and existing problems in molecular communication.Additionally,this paper introduces the basic components and communication mechanism of molecular communication,including the transmitter,channel,and receiver,and conducts research and theoretical derivation of several common diffusion models.Secondly,this paper analyzes the reasons and impacts of inter-symbol interference in diffusion-based molecular communication.The existence of inter-symbol interference severely affects the speed and reliability of information transmission.To reduce the inter-symbol interference in diffusion-based molecular communication,a tunable inhibitory reaction diffusion molecular communication channel model is proposed.Based on the reaction diffusion molecular communication model,this model integrates a tunable multi-type molecule modulation technique that can effectively reduce inter-symbol interference and improve system transmission performance.The proposed reaction diffusion model is established and simulated using a dedicated molecular communication simulator,and the accuracy of the theoretical derivation is validated.Additionally,the paper analyzes the channel response impact and performance improvement effect of the model under different parameters.The performance improvement effect of different receiver demodulation methods is also studied,including fixed threshold decision,differential decision,multi-sample threshold decision,and multi-sample differential decision.The simulation results show that the proposed tunable inhibitory reaction diffusion model can effectively improve system performance under different parameter settings,modulation methods,and boundary conditions.Finally,this study explores the similarity between thermal diffusion and molecular diffusion and establishes a macroscopic simulation experimental device for molecular communication based on thermal diffusion.By comparing the data analysis between the received signal and the channel response based on diffusion under different parameter settings,it is verified that simulating molecular diffusion based on thermal diffusion is feasible.The experimental device is used to transmit information by generating binary sequences through string encoding,and the decoding results show that reliable information transmission can be achieved at an appropriate distance and speed using this experimental platform.In addition,different shapes of thermally conductive transfer media were prepared for experiments,and the experimental results showed that their temperature response curves were consistent with expectations.Through the use of this experimental device,we can verify and analyze some aspects of molecular communication models,thus providing valuable reference for the establishment of real molecular communication models. |