• Matlab
  • Simulink
  • NS3
  • OMNET++
  • NS2

Overview of OFDM Simulation in MATLAB:

Generally, Orthogonal Frequency Division Multiplexing (OFDM) is created to face the consequences of multipath reception with the categorization of wideband frequency fading channel hooked on multiple narrow flat sub-channels. By the assumption of parameters along with the exact level of subcarriers will provide the elasticity with the different channel conditions. Through, the detachment of the guard band is the consecutive OFDM symbols to evade the ISI.

Significant Benefits of OFDM Simulation

The considerable uses of OFDM simulation are highlighted below,

  • Simpler Channel Equalisation
    • Complexity of the channel equalization is the major problem in the CDMA system and it is functional over the entire channel
    • The channel equalization is the easiest process when using the benefit of the OFDM such as the numerous subchannel
  • Spectrum Efficiency
    • Utilization of accessible spectrum is one of the most substantial OFDM benefits

Key Modules in OFDM Simulation

Vital modules which are useful for the research scholars to gain in-depth knowledge in the research are explained for example LACO module is highlighted below with its purpose

    • LACO means Layered Asymmetrically Clipped Optical OFDM
    • LACO-OFDM comes out from the result of the numerical and computation complexity analysis
    • The various layers in AC-OFDM signals

Major Plugins in OFDM Simulation

We have enlisted the substantial plugins in OFDM simulation and the functions of those plugins

  • WLAN Toolbox
    • The toolbox provides channel modeling, channel coding (LDPC and BCC), channel models (TGax, TGah, TGay, TGn, and TGc), spatial stream mapping, modulation (DSSS, CCK, and OFDM), transmitter, MIMO receivers, receiver operations, etc
    • It offers the submissive techniques which support the utilization of the simulation, structure, examining the LAN communication system in wireless sensor network systems, etc.

Foremost Classes in OFDM Simulation

Hereby, we have listed down the major supportive classes which are useful is for the OFDM simulation in Matlab. Our research experts have explained the detailed description of Quadrature amplitude modulation (QAM)

  • Output1 = qammod (x, M)
    • It is the modulated signal by modulating the input signal x by using QAM with the specified modulation order M
  • Output2 = qammod (x, M, symOrder)
    • It assembles for the specification of the symbol order
  • Output3 = qammod (__, Name, Value)
    • It identifies the options by the utilization of name-value pair arguments with the accumulation of input argument

Key Integrated Tools in OFDM Simulation

Below mentioned are the significant tools of the integration process in Matlab OFDM simulation. Our research experts have listed this with their functions such as

  • FPGA, AISC Deployment
    • For the recycling process, it can simply aim the wireless application and the FPGA hardware for the examining process through the air signals
  • HDL and FPGA Co-Simulation
    • For the verification process in hardware subsystem through RTL simulation and FPGA development kit using the HDL verifier

System Specifications in OFDM Simulation

The essential programming languages used in OFDM Simulation are highlighted below. During the project implementation, scholars may select any language and with the support of our research experts and complete guidance for Matlab Projects.

  • Programming Languages in OFDM Simulation
    • Python 3.8
    • Python 3.7

The essential operating systems for OFDM Simulation are listed down. The research scholars can contact us for your research support

  • Best OS Support for ODFM Simulation
    • Intel Parallel Studio XE 2018 for Fortran
    • Intel Parallel Studio XE 2020 for Fortran
    • Intel Parallel Studio XE 2019 for Fortran4
  • OS
    • Windows 7 Service Pack 1
  • Disk Recommended
    • SSD is the most recommended disk and the whole installation process of all math works produce obtain up to 29 GB of disk space

Hereby, we have enlisted the version details for the OFDM simulation in Matlab. In the same way, research scholars may select various versions for their research implementation

  • Key Versions
    • R2020a (MATLAB 9.8)
    • R2020b (MATLAB 9.9)

Vital Protocols for OFDM Simulation in MATLAB

For your reference, the research team has listed down the significant protocol with their purpose in the OFDM simulation. In addition, we provide support for all the types of protocols

  • AXI4 Stream Protocol
    • AXI4 stream protocol is used for the host interface and the huge performance in the OFDM transmission system with the 802.16d standard and is entirely configurable through the integrated register file

Key Subject Areas for OFDM Simulation in MATLAB

Generally, there are numerous subject areas for research in OFDM simulation. But, we have highlighted only a few contact us for the further needs

Notable Parameters for OFDM Simulation in MATLAB

For the evaluation process in the research project, parameter plays a significant role. Thus, the research team have provided the OFDM parameters for 8K mode for example

  • Carrier Spacing 1/Tu
  • Value of Carrier Number Kmin
  • Duration of Symbol Interval
  • Number of Carriers
  • Spacing among the carriers Kmin and Kmax
  • Elementary Period T
  • Duration Tu

Essential Subject with Apt Tools in OFDM Simulation

Basically, research scholars know more information about each and every module of OFDM simulation in Matlab. Thus, we provide complete support for research scholars to gather more knowledge and implement the process of the modules in OFDM simulation.

For example, we have highlighted the Bit Level Processing Block (BLPB) operations and implementation as follows

  • De Randomization
  • Soft Symbol Demapping
  • FEC Decoding
  • De Interleaving

OFDM Modulation Syntax

The experienced research team have listed down the significant syntaxes used in the OFDM simulation in Matlab

  • Initialize
  • modulator = OFDM (params)
  • The inputs parameter is a structure with the following properties
  • n_subcarriers
  • subcarrier_spacing
  • constellation
  • n_symbols
  • use_windowing
  • To modulate data according to the parameters, simply use the use method
  • [tx_data, tx_constellations] = modulator.use
  • To demodulate data according to the parameters, simply use the demod method
  • rx_constellations = modulator.demod(tx_data)
  • Checkout the Matlab.m file

Topical Applications for OFDM Simulation in MATLAB

In OFDM simulation, there are numerous applications but we have listed only a few for your reference

  • Audio Broadcasting
  • Linear Amplifier is Utilized
  • To make certain which is the pinnacle of average power ratio of the system and that contains no preventable distortions which may lead to the waveform

Significant Algorithms Used for OFDM Simulation

Our research experts in OFDM simulation are well versed in all the algorithms for your ease we have highlighted two algorithms below

  • Kalman Filter (KF) Based Channel Estimation Algorithm
    • It went for the comparison process among the classical least-squares estimation approach
    • According to the data in the cyclic prefix, it has some channel estimation
  • Bit Loading Algorithm
    • As per the condition of the channel, the first most bit is assigned for the sub-channels
    • The bits in various sub-channels helps to reduce the transmission energy

Important Areas for the Implementation of OFDM Simulation

We have listed down the most novel research areas in OFDM simulation for the research scholars to get a quick grasp of the research subject

  • Enterprise Environments
    • The features develop into crucial incoming years in wireless networks and OFDM create the efficient use of the accessible spectrum
  • Radio Effects Environment
    • For the assistance of the capacity and degradation of the various types

Notable Metrics in OFDM Simulation

Hereby, we have listed down the significant metrics in the OFDM simulation

  • Fixed Ratio Combining (FRC)
  • Equal Ratio Combining (ERC)

Significant Process Used in OFDM Simulation

The following is the overall process of the OFDM simulation in Matlab

  • Generic Cyclic Prefix OFDM (CP-OFDM) Modulation
    • Due to the designed filter, sub-band is passed for the CP-OFDM signal and that is useful for the signal bandwidth
  • Filtered OFDM Modulation
    • It is the best design for the development of the out-band radiation and the sub-band signal

Key Steps in OFDM Simulation

We have listed down some steps which are useful for the process of the OFDM simulation in Matlab

  • Initially, the parameters in the system are classified
  • Suitable decontamination techniques are used for F-OFDM to change over the subsequent standards
  • Adequate stop band reduction is essential
  • It’s required when the subcarriers in the sub-band is more flat passband
  • To decrease guard bands, the pointed transition band is mandatory
  • The active OFDM modulation techniques are used for the comparison process

Comparative Study in OFDM Simulation

The following is about the significant quality of service (QOS) parameters in OFDM simulation

  • Required QOS Parameters in OFDM Simulation
    • Universal Software Radio Peripheral (USRP)
    • Software Defined Radio (SDR)
    • Residual Idle Time

Below, mentioned is the substantial quality of experience (QOE) in the OFDM simulation in Matlab

  • Essential QOE in OFDM Simulation
    • Channel quality indicator is the (CQI)

Routing Process in OFDM Simulation

We have well-experienced research team and they have listed the topmost routing process for the OFDM simulation.

  • Improved Pilot Routing Algorithm
    • In an underwater acoustic OFDM system, the channel inference is done by using a compacted sensing process

Latest Project Titles in OFDM Simulation

For your ease, we have listed down some projects with the implementation process and their description

    • QPSK Signal Modulation Square Root Raised Cosine (RRC) Filter
      • The receive filter improves performance as the constellation more closely matches the ideal values. Display 1000 points of the transmitted signal eye diagram over two symbol periods.
    • Predict Modulation Type CNN
      • The trained CNN takes 1024 channel-impaired samples and predicts the modulation type of each frame. Generate several PAM4 frames that are impaired with Rician multipath fading, center frequency and sampling time drift, and AWGN.
    • Service Enhancement Under OFDM System
      • We consider the three spans in the modulation path (three-span, chromatic dispersion, and nonlinearity split to the data using the Fourier method and SPM only). Here we display the input and output amplitude distribution result of generated (PAM) signals with three-span propagations.
    • Estimate Channel OFDM Reference Subcarriers
      • To estimate a channel using input data and reference subcarriers. In this example model, the averaging and interpolation features are enabled. The HDL Algorithm subsystem in this example model supports HDL code generation

Subscribe Our Youtube Channel

You can Watch all Subjects Matlab & Simulink latest Innovative Project Results

Watch The Results

Our services

We want to support Uncompromise Matlab service for all your Requirements Our Reseachers and Technical team keep update the technology for all subjects ,We assure We Meet out Your Needs.

Our Services

  • Matlab Research Paper Help
  • Matlab assignment help
  • Matlab Project Help
  • Matlab Homework Help
  • Simulink assignment help
  • Simulink Project Help
  • Simulink Homework Help
  • Matlab Research Paper Help
  • NS3 Research Paper Help
  • Omnet++ Research Paper Help

Our Benefits

  • Customised Matlab Assignments
  • Global Assignment Knowledge
  • Best Assignment Writers
  • Certified Matlab Trainers
  • Experienced Matlab Developers
  • Over 400k+ Satisfied Students
  • Ontime support
  • Best Price Guarantee
  • Plagiarism Free Work
  • Correct Citations

Delivery Materials

Unlimited support we offer you

For better understanding purpose we provide following Materials for all Kind of Research & Assignment & Homework service.

  • Programs
  • Designs
  • Simulations
  • Results
  • Graphs
  • Result snapshot
  • Video Tutorial
  • Instructions Profile
  • Sofware Install Guide
  • Execution Guidance
  • Explanations
  • Implement Plan

Matlab Projects

Matlab projects innovators has laid our steps in all dimension related to math works.Our concern support matlab projects for more than 10 years.Many Research scholars are benefited by our matlab projects service.We are trusted institution who supplies matlab projects for many universities and colleges.

Reasons to choose Matlab Projects .org???

Our Service are widely utilized by Research centers.More than 5000+ Projects & Thesis has been provided by us to Students & Research Scholars. All current mathworks software versions are being updated by us.

Our concern has provided the required solution for all the above mention technical problems required by clients with best Customer Support.

  • Novel Idea
  • Ontime Delivery
  • Best Prices
  • Unique Work

Simulation Projects Workflow

Embedded Projects Workflow