Skip to main content

MATLAB Code for BER performance of QPSK with BPSK, 4-QAM, 16-QAM, 64-QAM, 256-QAM, etc


 

QPSK offers double the data rate of BPSK while maintaining a similar bit error rate at low SNR when Gray coding is used. It shares spectral efficiency with 4-QAM and can outperform 4-QAM or 16-QAM in very noisy channels. QPSK is widely used in practical wireless systems, often alongside QAM in adaptive modulation schemes [Read more...]


 

MATLAB Code

clear all;
close all;

% Set parameters for QAM
snr_dB = -20:2:20; % SNR values in dB
qam_orders = [4, 16, 64, 256]; % QAM modulation orders

% Loop through each QAM order and calculate theoretical BER
figure;
for qam_order = qam_orders
    % Calculate theoretical BER using berawgn for QAM
    ber_qam = berawgn(snr_dB, 'qam', qam_order);

    % Plot the results for QAM
    semilogy(snr_dB, ber_qam, 'o-', 'DisplayName', sprintf('%d-QAM', qam_order));
    hold on;
end

% Set parameters for QPSK
EbNoVec_qpsk = (-20:20)'; % Eb/No range for QPSK
SNRlin_qpsk = 10.^(EbNoVec_qpsk/10); % SNR linear values for QPSK

% Calculate the theoretical BER for QPSK using the provided formula
ber_qpsk_theo = 2*qfunc(sqrt(2*SNRlin_qpsk));

% Plot the results for QPSK
semilogy(EbNoVec_qpsk, ber_qpsk_theo, 's-', 'DisplayName', 'QPSK (Theoretical)');
hold on;

% Set parameters for BPSK
EbNoVec_bpsk = (-20:20)'; % Eb/No range for BPSK

% Calculate the theoretical BER for BPSK using the provided formula
ber_bpsk_theo = (1/2) * erfc(sqrt(10.^(EbNoVec_bpsk/10)));

% Plot the results for BPSK
semilogy(EbNoVec_bpsk, ber_bpsk_theo, 'x-', 'DisplayName', 'BPSK (Theoretical)');
hold on;

% Add labels, legend, and grid
title('BER vs SNR for Various Modulation Schemes');
xlabel('SNR (dB)');
ylabel('Bit Error Rate (BER)');
grid on;
legend('Location', 'best');

% Set y-axis limits
ylim([1e-6, 1e0]);

Copy the MATLAB Code from here

 Output


 

Are QPSK and 4-PSK same?

QPSK (Quadrature Phase Shift Keying) and 4-PSK (4-Phase Shift Keying) are related but not exactly the same.

    QPSK (Quadrature Phase Shift Keying): In QPSK, each symbol represents 2 bits of data. It modulates the carrier signal by changing its phase with four possible values (0°, 90°, 180°, 270°) corresponding to four different states. These four states can be represented in a constellation diagram with points at (1,1), (-1,1), (-1,-1), and (1,-1). Each symbol represents a combination of two bits, where one pair of bits represents the in-phase component and the other pair represents the quadrature component.

    4-PSK (4-Phase Shift Keying): 4-PSK is a more general term that refers to any Phase Shift Keying modulation with 4 different phase shifts. This could include QPSK as a specific case. However, 4-PSK might also refer to modulation schemes where each symbol represents only one bit of data, unlike QPSK where each symbol represents 2 bits. In a 4-PSK constellation, there are still four points, but they might not correspond to the same bit combinations as in QPSK.

So, while QPSK is a specific form of 4-PSK, not all 4-PSK schemes are QPSK. The distinction lies in how many bits each symbol represents and how the phase shifts are utilized.

 

Further Reading

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

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. Wireless communication system capacity = bandwidth*log2(1+SNR)...

MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...(with Online Simulator)

🧮 MATLAB Code for BPSK, M-ary PSK, and M-ary QAM Together 🧮 MATLAB Code for M-ary QAM 🧮 MATLAB Code for M-ary PSK 📚 Further Reading MATLAB Script for BER vs. SNR for M-QAM, M-PSK, QPSK, BPSK % Written by Salim Wireless clc; clear; close all; num_symbols = 1e5; snr_db = -20:2:20; psk_orders = [2, 4, 8, 16, 32]; qam_orders = [4, 16, 64, 256]; ber_psk_results = zeros(length(psk_orders), length(snr_db)); ber_qam_results = zeros(length(qam_orders), length(snr_db)); for i = 1:length(psk_orders) psk_order = psk_orders(i); for j = 1:length(snr_db) data_symbols = randi([0, psk_order-1], 1, num_symbols); modulated_signal = pskmod(data_symbols, psk_order, pi/psk_order); received_signal = awgn(modulated_signal, snr_db(j), 'measured'); demodulated_symbols = pskdemod(received_signal, psk_order, pi/psk_order); ber_psk_results(i, j) = sum(data_symbols ~= demodulated_symbols) / num_symbols; end end for i...

Amplitude, Frequency, and Phase Modulation Techniques (AM, FM, and PM)

📘 Overview 🧮 Amplitude Modulation (AM) 🧮 Online Amplitude Modulation Simulator 🧮 MATLAB Code for AM 🧮 Q & A and Summary 📚 Further Reading Amplitude Modulation (AM): The carrier signal's amplitude varies linearly with the amplitude of the message signal. An AM wave may thus be described, in the most general form, as a function of time as follows .                       When performing amplitude modulation (AM) with a carrier frequency of 100 Hz and a message frequency of 10 Hz, the resulting peak frequencies are as follows: 90 Hz (100 - 10 Hz), 100 Hz, and 110 Hz (100 + 10 Hz). Figure: Frequency Spectrums of AM Signal (Lower Sideband, Carrier, and Upper Sideband) A low-frequency message signal is modulated with a high-frequency carrier wave using a local oscillator to make communication possible. DSB, SSB, and VSB are common amplitude modulation techniques. We find a lot of bandwi...

Analog vs Digital Modulation Techniques | Advantages of Digital ...

Modulation Techniques Analog vs Digital Modulation Techniques... In the previous article, we've talked about the need for modulation and we've also talked about analog & digital modulations briefly. In this article, we'll discuss the main difference between analog and digital modulation in the case of digital modulation it takes a digital signal for modulation whereas analog modulator takes an analog signal.  Advantages of Digital Modulation over Analog Modulation Digital Modulation Techniques are Bandwidth efficient Its have good resistance against noise It can easily multiple various types of audio, voice signal As it is good noise resistant so we can expect good signal strength So, it leads high signal-to-noise ratio (SNR) Alternatively, it provides a high data rate or throughput Digital Modulation Techniques have better swathing capability as compared to Analog Modulation Techniques  The digital system provides better security than the a...

Shannon Limit Explained: Negative SNR, Eb/No and Channel Capacity

Understanding Negative SNR and the Shannon Limit Understanding Negative SNR and the Shannon Limit An explanation of Signal-to-Noise Ratio (SNR), its behavior in decibels, and how Shannon's theorem defines the ultimate communication limit. Signal-to-Noise Ratio in Shannon’s Equation In Shannon's equation, the Signal-to-Noise Ratio (SNR) is defined as the signal power divided by the noise power: SNR = S / N Since both signal power and noise power are physical quantities, neither can be negative. Therefore, the SNR itself is always a positive number. However, engineers often express SNR in decibels: SNR(dB) When SNR = 1, the logarithmic value becomes: SNR(dB) = 0 When the noise power exceeds the signal power (SNR < 1), the decibel representation becomes negative. Behavior of Shannon's Capacity Equation Shannon’s channel capacity formula is: C = B log₂(1 + SNR) For SNR = 0: log₂(1 + SNR) = 0 When SNR becomes smaller (in...

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

📘 Overview of BER and SNR 🧮 Online Simulator for BER calculation of m-ary QAM and m-ary PSK 🧮 MATLAB Code for BER calculation of M-ary QAM, M-ary PSK, QPSK, BPSK, ... 📚 Further Reading 📂 View Other Topics on M-ary QAM, M-ary PSK, QPSK ... 🧮 Online Simulator for Constellation Diagram of m-ary QAM 🧮 Online Simulator for Constellation Diagram of m-ary PSK 🧮 MATLAB Code for BER calculation of ASK, FSK, and PSK 🧮 MATLAB Code for BER calculation of Alamouti Scheme 🧮 Different approaches to calculate BER vs SNR What is Bit Error Rate (BER)? The abbreviation BER stands for Bit Error Rate, which indicates how many corrupted bits are received (after the demodulation process) compared to the total number of bits sent in a communication process. BER = (number of bits received in error) / (total number of tran...

MATLAB Code for Pulse Width Modulation (PWM) and Demodulation

📘 Overview & Theory 🧮 MATLAB Code for Pulse Width Modulation and Demodulation 🧮 Generating a PWM Signal in detail 🧮 Other Pulse Modulation Techniques (e.g., PWM, PPM, DM, and PCM) 🧮 Simulation results for comparison of PAM, PWM, PPM, DM, and PCM 📚 Further Reading   MATLAB Code for Analog Pulse Width Modulation (PWM) clc; clear all; close all; fs=30; %frequency of the sawtooth signal fm=3; %frequency of the message signal sampling_frequency = 10e3; a=0.5; % amplitide t=0:(1/sampling_frequency):1; %sampling rate of 10kHz sawtooth=2*a.*sawtooth(2*pi*fs*t); %generating a sawtooth wave subplot(4,1,1); plot(t,sawtooth); % plotting the sawtooth wave title('Comparator Wave'); msg=a.*sin(2*pi*fm*t); %generating message wave subplot(4,1,2); plot(t,msg); %plotting the sine message wave title('Message Signal'); for i=1:length(sawtooth) if (msg(i)>=sawtooth(i)) pwm(i)=1; %is message signal amplitude at i th sample is greater than ...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   Start Simulator for binary ASK Modulation Message Bits (e.g. 1,0,1,0) Carrier Frequency (Hz) Sampling Frequency (Hz) Run Simulation Simulator for binary FSK Modulation Input Bits (e.g. 1,0,1,0) Freq for '1' (Hz) Freq for '0' (Hz) Sampling Rate (Hz) Visualize FSK Signal Simulator for BPSK Modulation ...