7 results about "Molecular communication" patented technology

The invention discloses a molecular communication channel adaptation method and device based on transfer learning, and the method comprises the steps: employing a diffusion-advection-reaction equation as a channel impulse response model, and constructing a molecular communication system simulator; acquiring an original channel body temperature and a target channel body temperature, and obtaining an original channel environment and a target channel environment based on the channel environment calculation model; simulating the original channel sequence and the target channel sequence to obtain an original channel data set and a target channel data set; and constructing a domain alignment transfer learning model based on the hybrid neural network, training the transfer learning model based on the original channel data set and the target channel data set to obtain a molecular communication symbol detection model adaptive to the target channel, and performing molecular communication under the target channel based on the molecular communication symbol detection model. The method is applied to the field of molecular communication, molecular communication channel adaptation can be rapidly achieved, and an effective way is provided for solving the symbol detection problem in a resource limited scene.

The invention discloses a signal recovery and multi-source positioning method in turbulent flow molecule communication, and aims to realize multi-source positioning and obstacle perception through a sparse nano sensor in a turbulent flow diffusion molecule communication scene. A matrix completion algorithm based on symmetric truncated nuclear norm regularization and an alternating direction multiplier method is provided, and accurate data recovery is realized under the condition of a high missing rate by using spatial symmetry of molecular diffusion; aiming at multi-source positioning and obstacle perception, a sparse Bayesian learning-based adaptive iterative grid algorithm is provided, the positioning precision is improved through SBL, an off-grid error is reduced by using an adaptive iterative grid, and the position and radius of an obstacle are synchronously estimated. According to the invention, in a turbulence diffusion molecular communication scene with obstacles, when leakage occurs to a plurality of leakage sources, the target positions of all leakage sources and the obstacles can be positioned only by using the sparse molecular detectors, and the method is especially suitable for the turbulence diffusion molecular communication scene.

The application discloses a kind of based on DNA molecule traffic's nanopore real-time high-throughput sequencing system and method, including DNA encoding module, molecular hopper loads DNA sequence chain module, nanopore sequencing module and DNA decoding module;The transmission data required by user is stored in DNA sequence by base pairing;The DNA sequence obtained by encoding is linked with molecular hopper, is transported on the track of nanopore protein, and molecular motor of DNA chain transmission is transmitted on track;Real-time sequencing is completed by the different base pair blocking current different ability;By DNA decoding module, redundancy error caused by molecular hopper in the track of nanopore protein is eliminated.The system provided by the application solves the repeated data deletion error LT real-time error correction algorithm, to eliminate the redundant information generated by hopper bounce back;Eliminate the redundancy caused by hopper back, so as to reduce the high communication cost brought by this kind of error code, obtain greater signal-to-noise ratio, facilitate the application of DNA molecular communication to be popularized.

This invention discloses a method for optimizing the number of molecules released in a multi-input multi-output (MIMO) molecular communication system. The method includes: acquiring simulation data and establishing a time-varying channel impulse response function (TMR); minimizing the error between the predicted value of the TMR and the simulation data using a nonlinear fitting method to obtain a well-fitted TMR; deriving the average bit error rate (BER) of the MIMO system in the m-th time slot based on the fitted TMR, and establishing a multivariate optimization objective function for the current time slot; establishing and training a deep neural network; and inputting the initial distance vectors formed by each link into the trained deep neural network to obtain the optimal molecule release number vector for each sending nanomachine. This method can optimize the number of molecules released by the sending nanomachines in less time and with lower computational complexity, significantly reducing the average BER.

The application provides a binary high-energy-efficiency molecular communication method based on an imperfect transmitting end, and steps are as follows: in the first step, the transmitting end collects a mixture of two kinds of molecules from the environment as information molecules, and places the two kinds of molecules in two containers with L and H, the two containers constitute an important part of the transmitting end, and the number and concentration of the molecules in the two containers are the same in the initial state; in the second step, the molecules in the containers are moved by consuming energy, so that the concentration distribution of the molecules in the two containers changes, and an imperfect transmitting end is created; according to the concentration changes caused by moving different types of molecules, the judgment mode of the receiving end is given respectively; in the third step, according to the statistical characteristics of the molecules released by the transmitting end, the specific performance of the transmitting end formed by moving different types of molecules is determined in combination with the judgment mode, and the molecular moving mode that makes the energy efficiency of the communication system higher is obtained according to the performance difference. Through the method, a high-efficiency and reliable molecular communication system is realized.

The application discloses a kind of based on transfer learning's molecular communication channel adaptation method and device, method includes: using diffusion-advection-reaction equation as channel impulse response model, and constructs molecular communication system simulator;Collect original channel body temperature, target channel body temperature, and obtain original channel environment and target channel environment based on channel environment calculation model;Simulate original channel sequence and target channel sequence, obtain original channel dataset and target channel dataset;Domain alignment transfer learning model based on hybrid neural network is constructed, and based on original channel dataset, target channel dataset training transfer learning model, obtain the molecular communication symbol detection model of adaptation target channel, and carry out molecular communication under target channel based on molecular communication symbol detection model.The application is applied to molecular communication field, and channel adaptation of molecular communication can be quickly realized, which provides an effective way for solving symbol detection problem in resource-limited scene.

The invention discloses a molecular communication probability constellation diagram shaping method and system, and the method comprises the steps: obtaining an input bit sequence, and generating a concentration signal after probability shaping through a high-energy symbol discontinuous mapping algorithm; transmitting the concentration signal through a liquid laminar flow channel, detecting the change of medium characteristics in the liquid laminar flow channel, and obtaining an observation signal corresponding to the concentration signal; performing detection and de-mapping processing on the observation signal, and recovering a bit sequence; and based on a comparison result of the recovered bit sequence and the original input bit sequence, optimizing a mapping strategy of the high-energy symbol discontinuous mapping algorithm so as to complete probability shaping of communication symbols. According to the invention, based on a high-energy symbol discontinuous mapping algorithm, the sending probability of high-energy-consumption symbols is optimized, so that the overall energy consumption of a molecular communication system is reduced, and the service time of equipment is effectively prolonged in an energy-limited application scene.