MATLAB 5G SIMULATION
The 5G simulation is examined as an important process that assesses the performance of various 5G solutions with the aid of various tools and applications. For the process of 5G simulation, several modules and features are offered by MATLAB. Among them, we list out a few major modules and features to consider:
Major Modules and Feature in MATLAB for 5G Simulation
- Waveform Generation
- nrWaveformGenerator
- On the basis of defined parameters, it creates 5G NR waveforms.
- Assists various channels such as PDCCH, PDSCH, SSB, and PBCH.
- Physical Layer
- nrCarrierConfig
- Several carrier parameters are arranged by nrCarrierConfig, such as bandwidth part, cyclic prefix, and subcarrier spacing.
- nrPDSCHConfig
- For the Physical Downlink Shared Channel (PDSCH), it sets up parameters.
- nrPDCCHConfig
- Specifically for Physical Downlink Control Channel (PDCCH), it sets up major parameters.
- nrPBCHConfig
- It focuses on Physical Broadcast Channel (PBCH) and arranges parameters for this channel.
- nrWaveformInfo
- Regarding the created waveform, it extracts relevant details.
- Channel Modeling
- nrTDLChannel
- Tapped Delay line (TDL) channel models are applied by nrTDLChannel.
- nrCDLChannel
- It mainly concentrates on executing Clustered Delay Line (CDL) channel models.
- nrFadingChannel
- Frequency-specific fading channels are generally simulated by nrFadingChannel.
- Beamforming and MIMO
- nrDLChannelEstimate
- It particularly measures the downlink channel response.
- nrPDSCHDecode
- The PDSCH signal is decoded by nrPDSCHDecode.
- nrPerfectChannelEstimate
- For appropriate performance analysis, it offers seamless channel estimation.
- nrChannelEstimate
- With the aid of DM-RS, it measures channels.
- Link-Level Simulation
- nrPolarDecode
- Its major goal is to decode polar-encrypted data.
- nrLDPCDecode
- The LDPC-encrypted data is decoded by nrLDPCDecode.
- nrRateMatchLDPC
- For LDPC-encrypted data, it carries out rate matching.
- nrRateRecoverLDPC
- The rate-matched LDPC data is retrieved by nrRateRecoverLDPC.
- Performance Metrics
- nrBlockErrorRate
- For a specified arrangement, it assesses the block error rate.
- nrSymbolErrorRate
- The symbol error rate is evaluated by nrSymbolErrorRate.
- Visualization and Analysis
- nrResourceGrid
- Particularly for visualization, it creates a resource grid.
- nrResourceElementIndices
- For different signals and channels, it offers resource components’ indices.
- nrPlotCarrierConfig
- It plots carrier arrangements, such as subcarriers and resource blocks.
- Higher Layer Simulation
- nrRLCConfig
- The Radio Link Control (RLC) layer is arranged by nrRLCConfig.
- nrMACConfig
- It specifically sets up the MAC layer (Medium Access Control).
- nrPHYConfig
- The parameters of the physical (PHY) layer are arranged by nrPHYConfig.
- NR Test Models (NR-TM) and Fading Models
- nrTestModel
- For downlink, it creates NR test models (NR-TM).
- nrCDLChannel
- According to the 3GPP principle, the clustered delay line (CDL) channel models are executed by nrCDLChannel.
- nrTDLChannel
- In terms of the 3GPP principle, it executes tapped delay line (TDL) channel models.
- NR Reference Signals
- nrPSS and nrSSS
- The primary and secondary synchronization signals are created by nrPSS and nrSSS.
- nrPBCHDMRS
- For the Physical Broadcast Channel, it creates demodulation reference signals.
- nrPDSCHDMRS
- Specifically for PDSCH, the demodulation reference signals are created by nrPDSCHDMRS.
- Codebooks and Precoding
- nrCodebookConfig
- For beamforming, it sets up codebooks.
- nrPrecoderMatrix
- The precoder matrices are created by nrPrecoderMatrix, especially for MIMO transmission.
Instance: Creating and Visualizing a 5G NR Waveform
In order to create and visualize a 5G waveform with the support of the above specified features and modules, consider the following instance of MATLAB script:
% Define carrier configuration
carrier = nrCarrierConfig;
carrier.NSizeGrid = 52; % Number of resource blocks
carrier.SubcarrierSpacing = 30; % Subcarrier spacing in kHz
% Define PDSCH configuration
pdsch = nrPDSCHConfig;
pdsch.Modulation = ‘QPSK’; % Modulation scheme
pdsch.NumLayers = 1; % Number of transmission layers
pdsch.PRBSet = 0:carrier.NSizeGrid-1; % PRB allocation
pdsch.SymbolAllocation = [0 14]; % Symbol allocation in the slot
% Define waveform configuration
waveConfig = nrWavegenConfig;
waveConfig.Carriers = carrier;
waveConfig.PDSCH = pdsch;
% Generate the waveform
[waveform, info] = nrWaveformGenerator(waveConfig);
% Display waveform information
disp(info);
% Plot the time-domain waveform
figure;
plot(real(waveform));
title(‘5G NR Waveform – Time Domain’);
xlabel(‘Sample’);
ylabel(‘Amplitude’);
% Frequency domain plot
NFFT = 1024;
freqDomain = 20*log10(abs(fftshift(fft(waveform, NFFT))));
f = linspace(-0.5, 0.5, NFFT) * waveConfig.SampleRate;
figure;
plot(f/1e6, freqDomain);
title(‘5G NR Waveform – Frequency Domain’);
xlabel(‘Frequency (MHz)’);
ylabel(‘Magnitude (dB)’);
% Generate and plot resource grid
resourceGrid = nrResourceGrid(carrier);
pdschIndices = nrPDSCHIndices(carrier, pdsch);
pdschSymbols = nrPDSCH(carrier, pdsch, randi([0 1], pdsch.ModulationOrder * numel(pdschIndices), 1));
resourceGrid(pdschIndices) = pdschSymbols;
figure;
imagesc(abs(resourceGrid));
title(‘5G NR Resource Grid’);
xlabel(‘OFDM Symbol’);
ylabel(‘Subcarrier’);
colorbar;
How to simulate 5G network projects using matlab?
The simulation of 5G network projects with MATLAB is generally an intriguing as well as significant process. To simulate a simple 5G network-based projects utilizing MATLAB, we offer a procedural instruction in an explicit way:
Step 1: Install the 5G Toolbox
Initially, make sure that you have installed the 5G Toolbox on your system. If you don’t have this Toolbox previously, acquire it from MathWorks or install it through the MATLAB Add-On Explorer.
Step 2: Arrange the Simulation Platform
- Specify Carrier Configuration: The major carrier parameters have to be arranged. It encompasses cyclic prefix, subcarrier spacing, and the count of resource blocks.
- Set up the Physical Downlink Shared Channel (PDSCH): For PDSCH, configure the count of layers, the resource block allocation, and the modulation technique.
- Create the Waveform: On the basis of carrier and PDSCH arrangements, create the 5G waveform through the utilization of nrWaveformGenerator.
Instance of MATLAB Script
To simulate a simple 5G network by considering the creation and analysis of a 5G NR downlink waveform, examine the below specified instance of MATLAB script:
% Define carrier configuration
carrier = nrCarrierConfig;
carrier.NSizeGrid = 52; % Number of resource blocks
carrier.SubcarrierSpacing = 30; % Subcarrier spacing in kHz
carrier.CyclicPrefix = ‘Normal’; % Cyclic prefix type
% Define PDSCH configuration
pdsch = nrPDSCHConfig;
pdsch.Modulation = ‘QPSK’; % Modulation scheme
pdsch.NumLayers = 1; % Number of transmission layers
pdsch.PRBSet = 0:carrier.NSizeGrid-1; % PRB allocation
pdsch.SymbolAllocation = [0 14]; % Symbol allocation in the slot
pdsch.MappingType = ‘A’; % Mapping type
% Define DM-RS configuration
dmrs = nrPDSCHDMRSConfig;
dmrs.DMRSLength = 1;
dmrs.DMRSAdditionalPosition = 0;
% Assign DM-RS configuration to PDSCH
pdsch.DMRS = dmrs;
% Define waveform configuration
waveconfig = nrWavegenConfig;
waveconfig.Carriers = carrier;
waveconfig.PDSCH = pdsch;
% Generate the waveform
[waveform, info] = nrWaveformGenerator(waveconfig);
% Display waveform information
disp(info);
% Plot the time-domain waveform
figure;
plot(real(waveform));
title(‘5G NR Waveform – Time Domain’);
xlabel(‘Sample’);
ylabel(‘Amplitude’);
% Frequency domain plot
NFFT = 1024;
freqDomain = 20*log10(abs(fftshift(fft(waveform, NFFT))));
f = linspace(-0.5, 0.5, NFFT) * waveconfig.SampleRate;
figure;
plot(f/1e6, freqDomain);
title(‘5G NR Waveform – Frequency Domain’);
xlabel(‘Frequency (MHz)’);
ylabel(‘Magnitude (dB)’);
% Generate and plot resource grid
resourceGrid = nrResourceGrid(carrier);
pdschIndices = nrPDSCHIndices(carrier, pdsch);
pdschSymbols = nrPDSCH(carrier, pdsch, randi([0 1], pdsch.ModulationOrder * numel(pdschIndices), 1));
resourceGrid(pdschIndices) = pdschSymbols;
figure;
imagesc(abs(resourceGrid));
title(‘5G NR Resource Grid’);
xlabel(‘OFDM Symbol’);
ylabel(‘Subcarrier’);
colorbar;
Step 3: Examine the Simulation Outcomes
- Time-Domain Analysis: As a means to examine the amplitude differences periodically, the created waveform has to be plotted in the time domain.
- Frequency-Domain Analysis: To evaluate the frequency elements, carry out a Fast Fourier Transform (FFT) on the created waveform.
- Resource Grid Visualization: In order to interpret the resource block allocation and symbols, visualize the resource grid.
Step 4: Innovative Simulation
It is approachable to examine the below defined procedures to conduct highly innovative 5G network simulations:
- Channel Modeling: Employ Clustered Delay Line (CDL) or Tapped Delay Line (TDL) channel models for simulating practical propagation constraints.
- Link-Level Simulation: For assessing the performance of various transmission approaches, modulation patterns and coding techniques, carry out link-level simulations.
- Multi-User Scenarios: To analyze the impacts of resource scheduling, user mobility, and intervention, focus on simulating multi-user platforms.
- Beamforming and MIMO: With the aim of improving spectral effectiveness and coverage, apply MIMO (Multiple Input Multiple Output) and beamforming approaches.
Instance: Simulating a Multi-User Scenario with Channel Modeling
% Define carrier configuration
carrier = nrCarrierConfig;
carrier.NSizeGrid = 106; % Number of resource blocks
carrier.SubcarrierSpacing = 30; % Subcarrier spacing in kHz
% Define PDSCH configuration for User 1
pdsch1 = nrPDSCHConfig;
pdsch1.Modulation = ‘QPSK’;
pdsch1.NumLayers = 1;
pdsch1.PRBSet = 0:53; % Resource block allocation for User 1
% Define PDSCH configuration for User 2
pdsch2 = nrPDSCHConfig;
pdsch2.Modulation = ’16QAM’;
pdsch2.NumLayers = 2;
pdsch2.PRBSet = 54:106; % Resource block allocation for User 2
% Define TDL channel model
channel = nrTDLChannel;
channel.DelayProfile = ‘TDL-C’;
channel.DelaySpread = 100e-9;
channel.CarrierFrequency = 3.5e9;
channel.SampleRate = carrier.SampleRate;
% Generate waveforms for each user
waveform1 = nrWaveformGenerator(‘Carrier’, carrier, ‘PDSCH’, pdsch1);
waveform2 = nrWaveformGenerator(‘Carrier’, carrier, ‘PDSCH’, pdsch2);
% Transmit through the channel
txWaveform = waveform1 + waveform2; % Combine waveforms
rxWaveform = channel(txWaveform); % Pass through the channel
% Perform link-level simulation and analysis here…
% Plot received waveform
figure;
plot(real(rxWaveform));
title(‘Received 5G NR Waveform – Time Domain’);
xlabel(‘Sample’);
ylabel(‘Amplitude’);
% Frequency domain plot
NFFT = 2048;
freqDomain = 20*log10(abs(fftshift(fft(rxWaveform, NFFT))));
f = linspace(-0.5, 0.5, NFFT) * carrier.SampleRate;
figure;
plot(f/1e6, freqDomain);
title(‘Received 5G NR Waveform – Frequency Domain’);
xlabel(‘Frequency (MHz)’);
ylabel(‘Magnitude (dB)’);
MATLAB 5G Simulation Ideas
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