Molecular Communication using Matlab


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In the world of the digital era, the recent advancement in wireless communication is “Molecular Communication (MC)”. Since it uses molecules as an information carrier and biological chemicals as a wireless medium. This method of molecules transmission is completely different from the existing techniques like electromagnetic and radio waves communication. By the by, molecular communication is intended to solve the communication issues in harsh environs such as human internal body tissues, blood vessels, etc.

Through this page, we can learn details on the project development of molecular communication using Matlab!!!

Although several advanced techniques attempt to solve these communication issues through radio signals, optical signals, and electromagnetic signals, still seeking for appropriate approach. For instance: The network that uses electromagnetic waves underwater, tunnels, and pipelines are not efficient to support unbreakable communication. These inabilities of existing techniques enforce to development of new technology called molecular communication using matlab simulink. This molecular communication technology has one unique feature that is the capability to use nature as a medium to propagate information molecules. As well, it is categorized in many forms as given below,

Molecular Communication using matlab programming

Molecular Communication Classifications 

  • Communication Engineering
    • Architecture and Protocol Design
    • Modulation Techniques
    • Channel Models
    • Error Correction Codes
  • Microscale and Macroscale
    • Entities and Mechanisms
    • Information Particles
    • Channel Propagation
      • Flow-based Propagation
      • Free Diffusion
      • Bacterial-based Propagation
        • Gap Junction Propagation
        • Diffusion-based Propagation
        • Turbulent Flow-based Propagation
        • Diffusion and First Hitting
        • Neurochemical Propagation
        • Convection and Advection
        • Kinesin Molecular Motors on Microtubule (MT) (Immobilized and Mobilized)
        • Cytoskeletal Filaments and Molecular Motors on Active Propagation

Now, we can see the key difference between traditional and molecular communication. In traditional communication, it carries information long-distance at low speed. Also, it does not depend on any biological entities like fluids, tissues, etc. In molecular communication, it has a short communication distance and speed. Also, it uses biological entities as a medium which is not possible in traditional communication. Moreover, here we have given you different characteristics of traditional and molecular communication using matlab for your better understanding.

Key Parameters for Traditional vs. Molecular Communication 

  • Traditional Communication Characteristics 
    • Signal Nature – Optical and Electrical
    • Energy Usage – High
    • Encrypted Information – Multimedia Data
    • Communication 
      • Medium – Electromagnetic Waves
      • Model – Deterministic
    • Propagation
      • Environ – Cable, and Airbone
      • Speed – Moderate Speed (3×103 km/s)
      • Distance – Meter to Kilometer
    • Receivers Behavior – Information Decryption
  • Molecular Communication Characteristics 
    • Signal Nature – Chemical Signals
    • Energy Usage – Very Low
    • Encrypted Information – Chemical and Phenomena Status
      • Communication
        • Medium – Molecules
        • Model – Stochastic
      • Propagation
        • Environ – Aqueous
        • Speed – Low Speed (3×103 km/s)
        • Distance – NanoMeter to Meter
      • Receivers Behavior – Reaction of Biochemical

Further, molecular communication has more add-on features than the traditional one. Overall, molecular communication acts as a complementary technique to traditional techniques. This makes molecular communication more popular among research groups. 

Also, it is flexible to simulate different molecular communication systems in different scenarios. To make a general molecular communication system, the following components are required to incorporate. As well, it may include more components in your project based on project requirements. To help you, we will guide you to choose the required molecular using matlab simulation components for your project.

Key components for Molecular Communication Simulation 

  • Transmitter
    • Information Particle
    • Power Source 
    • Processing Unit
  • Channel
    • Propagation Control
  • Receiver  
    • Information Particle Sensor
    • Power Source
    • Processing Unit

In addition to components, the molecular communication project has other requirements. From project to project, the requirements of simulation will vary. Once you connect with us, we will help you to incorporate appropriate architecture, channel models, protocols, modulation techniques, coding techniques, and simulation tools. 

We ensure you that our proposed technologies of your project will make you create great work in your desired area. Also, our experts guide you in the right direction to reach your success in a shorter time without compromising quality. 

Requirements for Molecular Communication Simulation 

  • Communication Channel Models 
    • Compare to other radio and electromagnetic communication channels, molecular communication is unique. 
    • So, molecular communication requires new communication channel models
  • Network Protocols and Architectures 
    • Design appropriate protocol and architecture based on proposed molecular communication project requirements
  • Modulation Methods
    • Through what technique information is encoded and in what way the information is carried over chemical signals 
  • Development Simulators
    • Sophisticated with different simulation tools to avoid complications in real lab-based experiments
  • Coding Methods
    • When using new channel models, requires new coding and error-correction approaches

Next, we can see how Matlab helps to develop molecular communication projects. It includes a parallel toolbox to make tasks execute in parallel and distributed simulation system form. Moreover, it also includes other toolboxes to perform different data-centric problems at any level of computations through multi-processors. Further, it also executes on various computer clusters and GPUs. In specific, the parallel toolbox has different high-level constructions and characteristics which are given below,

Matlab Parallel Toolbox Features

  • Able to implement parallelized applications in the absence of MPI and CUDA programming
  • Allow to include parallelized techniques, parallel for-loops, and unique arrays types 

Molecular Communication Configuration 

It may vary based on the followings

  • Reception Noise 
  • Multi-Transmitters
  • Transmitter Emission Noise 
  • Environment Noise (Reaction / Degradation)
  • Arbitrary Diffusion Noise 
  • Number of Receivers

MolecUlar CommunicatIoN (MUCIN)

In molecular communication system development, the MUCIN simulator is found to be a largely preferred tool by developers. It is intended to provide end-to-end simulation support for molecular communication in both 1D and 3D environs. Moreover, it explores and inspects the first hitting process for signal reception. 

Further, it also supports imperfect molecular reception, filtering modules, successive symbols transmission, extended modulation, etc. And also, it is constructed in Matlab software which presents in Matlab file exchange central. 

Matlab Toolboxes for Molecular Communication 

  • WLAN Toolbox 
  • Antenna Toolbox 
  • Parallel computing Toolbox 
  • Communications Toolbox 
  • Model Predictive Control Toolbox 

Generally, modulation is the important process for any project of Molecular Communication using Matlab. So, there are a massive collection of functions are available to support different modulation techniques. Here, we have given you a list of primary modulation and demodulation functions in different access techniques. For instance: phase modulation, continuous phase modulation, amplitude modulation, frequency modulation, etc. Based on your project needs, you need to choose the best-fitting one. 

Our developers are here to guide you not only in selecting modulation techniques but also in other communication processes.

Matlab functions for Molecular Communication 

Phase Modulation

  • pskmod
    • Modulation of Phase Shift Keying 
  • dpskmod
    • Modulation of Differential Phase Shift Keying 
  • pskdemod
    • De-modulation of Phase Shift Keying 
  • dpskdemod
    • De-modulation of Differential Phase Shift Keying 

Continuous Phase Modulation

  • mskmod
    • Modulation of Minimum Shift Keying 
  • mskdemod
    • De-modulation of Minimum Shift Keying 

Amplitude Modulation

  • qammod
    • Modulation of Quadrature Amplitude 
  • pammod
    • Modulation of Pulse amplitude 
  • genqammod
    • Modulation of Common Quadrature Amplitude 
  • modnorm
    • Common Modulation Output using Scaling Factor 
  • qamdemod
    • De-modulation of Quadrature Amplitude 
  • pamdemod
    • De-modulation of Pulse Amplitude 
  • genqamdemod
    • De-modulation of Common Quadrature Amplitude 

Frequency Modulation

  • fskdemod
    • Demodulation of Frequency Shift Keying 
  • fskmod
    • Modulation of Frequency Shift Keying 

Amplitude and Phase Modulation

  • dvbsapskmod
    • Modulation of DVB-S2/S2X/SH standard-specific APSK 
  • mil188qammod
    • Modulation of MIL-STD-188-110 B/C standard-specific Quadrature Amplitude 
  • apskmod
    • Modulation of Amplitude Phase Shift Keying  
  • dvbsapskdemod
    • De-modulation of DVB-S2/S2X/SH standard-specific APSK 
  • mil188qamdemod
    • De-modulation of MIL-STD-188-110 B/C standard-specific Quadrature Amplitude 
  • apskdemod
    • De-modulation of Amplitude Phase Shift Keying

Analog Passband Modulation

  • ssbmod
    • Modulation of Single Sideband Amplitude 
  • pmmod
    • Modulation of Phase 
  • ammod
    • Modulation of Amplitude 
  • fmmod
    • Modulation of Frequency 
  • ssbdemod
    • De-modulation of Single Sideband Amplitude 
  • pmdemod
    • De-modulation of Phase 
  • amdemod
    • De-modulation of Amplitude 
  • fmdemod
    • De-modulation of Frequency 

OFDM Modulation

  • ofdmmod
    • OFDM-based Modulation of Frequency-domain signal 
  • ofdmdemod
    • OFDM-based De-modulation of Time-domain signal using OFDM

In addition, we have also given you some important modulation schemes that are largely employed in Molecular Communication using Matlab. Each modulation scheme has unique factors to perform a certain task. By considering these factors, one should choose a suitable modulation scheme for their project. If you need experts help, then we are here to guide you in needy aspects. Since we know the purpose and suitability of all these schemes in different scenarios. We guarantee you that these techniques are sure to give the best results in any complex molecular communication project.

Modulation Schemes for Molecular Communication Simulation 

  • Pulse Position Modulation (PPM) 
  • Molecular Shift Keying (n-Mosk)
  • Pulse Amplitude Modulation (PAM)
  • Time-Elapse Communication (TEC)
  • On-Off Keying (OOK)
  • Molecular Concentration Shift Keying (n-MCSK)
  • Isomer-based Ratio Shift Keying (n-IRSK)
  • Molecular Transmission Shift Keying (n-MTSK)
  • Molecular Array-based Communication (n-MARCO)
  • Concentration Shift Keying (n-CSK)
  • Emission Time-based Modulation

Next, we can see the different channel models for propagating information molecules in biochemical signals. These models are best in yielding results at any level of complexity. Further, we also provide you with advanced technologies to suggest appropriate techniques to improve the performance channel models, mobility models, propagation models, and many more. If you are interested to know more information about other models then approach us.

Channel Models for Molecular Communication

  • Bacteria 
    • Bacteria-based DNA Propagation  
  • Molecular Motor
    • Stationary Kinestin for Microtubule Gliding
    • Kinesin Motor on Microtubule Track
  • Diffusion
    • Neurochemical using Contract
    • Particle Degradation and On-off Keying over binary -CSK
    • On-off Keying over binary -CSK
    • Energy Limitation and On-off Keying over binary -CSK
    • Release Modulation Time for Timing Channel
    • Bacterial Colonies (Rx and Tx)-CSK
    • Ligand Receptors Demodulation and Continuous Diffusion Modulation
  • Reaction-Diffusion
    • Channel of Reaction-Diffusion at Receiver
  • Diffusion with Flow
    • CSK using Diffusion Channel with Flow
    • Microfluidic Channel Models
    • Release Modulation Time for Timing Channel
    • Particle Flow Inside Arteries
  • Gap Junction Diffusion
    • Gap Junction Channels-CSK 

Simulation Parameters for Molecular Communication

The colossal collection of nanomachines is called nanonetwork technology. Majorly, it is intended to share information in a harsh environment which is difficult to share information through usual communication technology. It is meant for fulfilling the needs of complex tasks.

In the case of short-range communication (nm to µm) in a harsh environment (biochemical signals), molecular communication is considered as best data distribution solution. In this, the information is safely encoded into the molecules and transmitted to external devices. Intending to analyze the performance of the developed system, different stimulation parameters have been introduced. For your information, here we have given you the key parameters based on important processes of molecular communication.

Top 6 Molecular communication using matlab simulink

Matlab Simulation Parameters for Channel Loss

  • Viscosity 
  • Channel Form 
  • Turning Angle 

Matlab Simulation Parameters for Communication 

  • Number of Iterations 
  • Timestep 
  • RN Radius 
  • Emitted Molecules Count 
  • Co-efficient Diffusion 
  • The distance among Transmitter and Receiver 
  • Forward Reaction Constant 
  • Simulation Time 
  • Backward Reaction Constant 

Matlab Simulation Parameters for Amplitude Addressing

  • Transmit Pulse Width 
  • Maximum Amplitude 
  • Transmit Users Count 
  • Transmit Pulse Interval 
  • Total Count of Transmit Bits 
  • Amplitude Allocation Scheme 

Matlab Simulation Parameters for Receiver Response

  • Modulation 
  • Threshold 
  • Transmit Sequence 
  • Transmit Pulse Width 
  • Transmit Pulse Amplitude 

Matlab Simulation Parameters for Capacity and Error Analysis

  • M-ary Scheme 
  • Bacterial Count 
  • Ligand Receptors Count 
  • Square of combined noise Variance 

Furthermore, we have also given you the latest research areas of molecular communication. All these areas are comprised of advanced research ideas that are sure to create masterwork in everyone’s research profession. 

By the by, our research areas are not limited to the below list, instead, we also extend our support in other evolving research areas of molecular communication. If you have already selected your research areas and looking for the best research guidance, then we provide our finest research and development support based on your interest.

Current Molecular Communication Research Areas 

  • Technology Advancements
    • Improved Energy Harvesting Techniques
    • PHY and MAC Layer Designs
    • Development of Chemical Reaction Models
    • Modeling of Transmitter and Receiver
    • Coding over Bio-chemical Signals
    • Communication System Modelling
    • Hardware Design for Micro-scale and Macro-scale
  • Technological Experiments
    • Biological Environ Testing
    • Numerical Molecular Distribution 
    • Micro / Macro-scale Fabrication and Testing
    • Bio-nanomachines Testing
  • Molecular Communication 
    • Biological Signal Analysis
    • Contextual Propagation Models
    • Communication and Information Theories

Overall, we are glad to inform you that we are best in fulfilling our handholding research scholars’ requirements. As well, our research experts provide you with in-depth assistance at every stage of your PhD / MS study in molecular communication using matlab. Additionally, we also support final year students’ projects. Further, we also provide plagiarism-free paper and thesis writing services with publication support. So, connect with us to avail flawless research service for your passionate research work. 

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