Skip to main content

OFDM for 4G & 5G


Orthogonal Frequency Division Multiplexing

When a signal with high bandwidth traverses through a medium, it tends to disperse more compared to a signal with lower bandwidth. A high-bandwidth signal comprises a wide range of frequency components. Each frequency component may interact differently with the transmission medium due to factors such as attenuation, dispersion, and distortion. OFDM combats the high-bandwidth frequency selective channel by dividing the original signal into multiple orthogonal multiplexed narrowband signals. In this way, it overcomes the inter-symbol interferences (ISI) issue.

ofdm_image

Example: OFDM using QPSK

1. Input Parameters:

  • Number of Input bits: 128
  • Number of subcarriers (FFT length): 64
  • Cyclic prefix length (CP): 8

2. Step-by-Step Process:

QPSK Mapping: Each QPSK symbol represents 2 bits. With 128 bits, the number of QPSK symbols generated will be 64 symbols.

OFDM Symbol Construction: The 64 QPSK symbols exactly fit into 64 subcarriers, forming one OFDM symbol.

IFFT Operation: The symbol is transformed from the frequency domain to the time domain using a 64-point IFFT, resulting in 64 complex time-domain samples.

Adding Cyclic Prefix: A cyclic prefix of length 8 is appended. The final symbol length is 64 + 8 = 72 samples.

MATLAB Code for OFDM System

% Updated MATLAB Code by SalimWireless.Com
clc; clear all; close all;

numBits = 128; 
bits = randi([0, 1], 1, numBits);

% Parameters
numSubcarriers = 64; 
cpLength = 16; 

% 1. QPSK Modulation (Mapping bits to symbols)
symbols = (2*bits(1:2:end)-1) + j*(2*bits(2:2:end)-1); 

% 2. Reshape into OFDM symbols
dataMatrix = reshape(symbols, numSubcarriers, []);

% 3. IFFT (Frequency to Time Domain)
ofdmTime = ifft(dataMatrix, numSubcarriers);

% 4. Add Cyclic Prefix (Correct way: copy end of time signal to front)
ofdmWithCP = [ofdmTime(end-cpLength+1:end, :); ofdmTime];
ofdmSignal = ofdmWithCP(:).'; 

% Display Signal
figure(1); stem(real(ofdmSignal)); title('OFDM Time Domain Signal (Real Part)');
  

OFDM is a scheme of multicarrier modulation used to make better use of the spectrum. According to Nyquist's sampling theorem, to perfectly reconstruct a baseband signal with a maximum frequency component of fmax, we must sample at 2*fmax.

In wireless environments, Multi-path components (MPCs) cause time dispersion. RMS delay spread (Td) is used to measure this. If Td > Ts (Symbol duration), symbols overlap, causing Inter-Symbol Interference (ISI). OFDM mitigates this by dividing the total bandwidth B into N sub-bands, which increases the symbol duration significantly (Ts = N/B), making it much larger than the delay spread.



Q & A and Summary

1. What is the main advantage of using OFDM?

The main advantage is its ability to overcome ISI caused by frequency-selective fading. It transforms a wideband frequency-selective channel into multiple narrowband frequency-flat channels.

3. What role does the IFFT play in OFDM?

IFFT converts frequency-domain data symbols into time-domain signals. It ensures that subcarriers remain orthogonal. Mathematical representation:

$$ y(t) = \sum_{k=0}^{N-1} X_k e^{j2\pi k t / T} $$

4. What is the function of the cyclic prefix?

The cyclic prefix provides a guard interval that prevents overlap between symbols due to multipath propagation, thus maintaining orthogonality. It must be longer than the maximum delay spread.

5. How does high Doppler shift affect OFDM?

High Doppler shift causes frequency shifts in subcarriers, leading to Inter-Carrier Interference (ICI) and loss of orthogonality. Frequency shift equation:

$$ \Delta f = f_0 \cdot \frac{v}{c} $$

6. What is "orthogonality" in OFDM?

It ensures subcarriers do not interfere with each other even though they overlap in frequency. The integral of any two subcarriers over a symbol period is zero.

7. What are the transmitter steps?

1. Data Encoding. 2. Serial-to-Parallel. 3. IFFT. 4. Cyclic Prefix Addition. 5. D/A Conversion. 6. Upconversion.

9. Explain frequency-selective fading.

It occurs when different frequencies experience different levels of attenuation. OFDM solves this by using narrowband subcarriers that experience "flat" fading instead.

Further Reading

  1. OFDM in MATLAB
  2. Filter Bank Multicarrier (FBMC)
  3. GFDM Overview

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

Simulation of ASK, FSK, and PSK using MATLAB Simulink (with Online Simulator)

📘 Overview 🧮 How to use MATLAB Simulink 🧮 Simulation of ASK using MATLAB Simulink 🧮 Simulation of FSK using MATLAB Simulink 🧮 Simulation of PSK using MATLAB Simulink 🧮 Simulator for ASK, FSK, and PSK 🧮 Digital Signal Processing Simulator 📚 Further Reading ASK, FSK & PSK HomePage MATLAB Simulation Simulation of Amplitude Shift Keying (ASK) using MATLAB Simulink In Simulink, we pick different components/elements from MATLAB Simulink Library. Then we connect the components and perform a particular operation. Result A sine wave source, a pulse generator, a product block, a mux, and a scope are shown in the diagram above. The pulse generator generates the '1' and '0' bit sequences. Sine wave sources produce a specific amplitude and frequency. The scope displays the modulated signal as well as the original bit sequence created by the pulse generator. Mux i...

Theoretical BER vs SNR for binary ASK, FSK, and PSK with MATLAB Code + Simulator

📘 Overview & Theory 🧮 MATLAB Codes 📚 Further Reading Bit Error Rate (BER) Equations BER formulas for ASK, FSK, and PSK modulation schemes. ASK BER = 0.5 × erfc(0.5 × √SNR) FSK BER = 0.5 × erfc(√(SNR / 2)) PSK BER = 0.5 × erfc(√SNR) Theoretical BER vs SNR for Amplitude Shift Keying (ASK) The theoretical Bit Error Rate (BER) for binary ASK depends on how binary bits are mapped to signal amplitudes. For typical cases: If bits are mapped to 1 and -1, the BER is: BER = Q(√(2 × SNR)) If bits are mapped to 0 and 1, the BER becomes: BER = Q(√(SNR / 2)) Where: Q(x) is the Q-function: Q(x) = 0.5 × erfc(x / √2) SNR : Signal-to-Noise Ratio N₀ : Noise Power Spectral Density Understanding the Q-F...

MATLAB Codes for Various types of beamforming | Beam Steering, Digital...

📘 How Beamforming Improves SNR 🧮 MATLAB Code 📚 Further Reading 📂 Other Topics on Beamforming in MATLAB ... MIMO / Massive MIMO Beamforming Techniques Beamforming Techniques MATLAB Codes for Beamforming... How Beamforming Improves SNR The mathematical [↗] and theoretical aspects of beamforming [↗] have already been covered. We'll talk about coding in MATLAB in this tutorial so that you may generate results for different beamforming approaches. Let's go right to the content of the article. In analog beamforming, certain codebooks are employed on the TX and RX sides to select the best beam pairs. Because of their beamforming gains, communication created through the strongest beams from both the TX and RX side enhances spectrum efficiency. Additionally, beamforming gain directly impacts SNR improvement. [Read more about Beamforming and How it improves SNR] Wireless...

Power Spectral Density Calculation Using FFT in MATLAB

📘 📘 Overview 🧮 🧮 Steps to calculate 💻 🧮 MATLAB Codes 📚 📚 Further Reading Power spectral density (PSD) tells us how the power of a signal is distributed across different frequency components, whereas Fourier Magnitude gives you the amplitude (or strength) of each frequency component in the signal. Steps to calculate the PSD of a signal Firstly, calculate the fast Fourier transform (FFT) of a signal. Then, calculate the Fourier magnitude (absolute value) of the signal. Square the Fourier magnitude to get the power spectrum. To calculate the Power Spectral Density (PSD), divide the squared magnitude by the product of the sampling frequency (fs) and the total number of samples (N). Formula: PSD = |FFT|^2 / (fs * N) Sampling frequency (fs): The rate at which the continuous-time signal is sampled (in Hz). ...

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...(MATLAB Code + Simulator)

Bit Error Rate (BER) & SNR Guide Analyze communication system performance with our interactive simulators and MATLAB tools. 📘 Theory 🧮 Simulators 💻 MATLAB Code 📚 Resources BER Definition SNR Formula BER Calculator MATLAB Comparison 📂 Explore M-ary QAM, PSK, and QPSK Topics ▼ 🧮 Constellation Simulator: M-ary QAM 🧮 Constellation Simulator: M-ary PSK 🧮 BER calculation for ASK, FSK, and PSK 🧮 Approaches to BER vs SNR What is Bit Error Rate (BER)? The BER indicates how many corrupted bits are received compared to the total number of bits sent. It is the primary figure of merit for a...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   •   Interactive ASK, FSK, and BPSK tools updated for 2025. Start Now Interactive Modulation Simulators Visualize binary modulation techniques (ASK, FSK, BPSK) in real-time with adjustable carrier and sampling parameters. 📡 ASK Simulator 📶 FSK Simulator 🎚️ BPSK Simulator 📚 More Topics ASK Modulator FSK Modulator BPSK Modulator More Topics Simulator for Binary ASK Modulation Digital Message Bits Carrier Freq (Hz) Sampling Rate (...

Constellation Diagrams of ASK, PSK, and FSK (with MATLAB Code + Simulator)

Constellation Diagrams: ASK, FSK, and PSK Comprehensive guide to signal space representation, including interactive simulators and MATLAB implementations. 📘 Overview 🧮 Simulator ⚖️ Theory 📚 Resources Definitions Constellation Tool Key Points MATLAB Code 📂 Other Topics: M-ary PSK & QAM Diagrams ▼ 🧮 Simulator for M-ary PSK Constellation 🧮 Simulator for M-ary QAM Constellation BASK (Binary ASK) Modulation Transmits one of two signals: 0 or -√Eb, where Eb​ is the energy per bit. These signals represent binary 0 and 1. BFSK (Binary FSK) Modulation Transmits on...

MATLAB Code for ASK, FSK, and PSK (with Online Simulator)

MATLAB Code for ASK, FSK, and PSK Comprehensive implementation of digital modulation and demodulation techniques with simulation results. 📘 Theory 📡 ASK Code 📶 FSK Code 🎚️ PSK Code 🕹️ Simulator 📚 Further Reading Amplitude Shift Frequency Shift Phase Shift Live Simulator ASK, FSK & PSK HomePage MATLAB Code MATLAB Code for ASK Modulation and Demodulation COPY % The code is written by SalimWireless.Com clc; clear all; close all; % Parameters Tb = 1; fc = 10; N_bits = 10; Fs = 100 * fc; Ts = 1/Fs; samples_per_bit = Fs * Tb; rng(10); binar...