Skip to main content
Home Wireless Communication Modulation MATLAB Beamforming Project Ideas MIMO Filters Computer Networks

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...



1. 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. It is defined as, 
In mathematics,

BER = (number of bits received in error / total number of transmitted bits) 

On the other hand, SNR refers to the signal-to-noise power ratio. For ease of calculation, we commonly convert it to dB or decibels.  

2. What is Signal to Noise Ratio (SNR)?

SNR = signal power/noise power
(SNR is a ratio of signal power to noise power)

SNR (in dB) = 10*log(signal power / noise power) [base 10]

For instance, the SNR for a given communication system is 3dB.
So, SNR (in ratio) = 10^{SNR (in dB) / 10} = 2
Therefore, in this instance, the signal power is twice as powerful as the noise power.

3. Comparison of BER vs. SNR for BPSK, QPSK, 8-PSK, 16-PSK, 32-PSK, D-BPSK, D-QPSK, 4-QAM, 16-QAM, and 64-QAM

                              
Get MATLAB Code (BER vs. SNR for 64 QAM, 16 QAM, 4 QAM, D-QPSK, D-BPSK, 32 PSK, 16 PSK, 8 PSK, QPSK, BPSK - are shown there. Probability of BER Error {10log10(Pb)} and SNR in dB {E0 / N0 - SNR per bit} are plotted there.)
 
Get MATLAB Code for QAM
Get MATLAB Code for m-ary QAM  
Get MATLAB Code for m-ary PSK 

We usually use modulation schemes for better efficiency of bandwidth. For example, if we use a binary PSK system and someone uses a QPSK system, you can see you are transmitting only one bit in a symbol, and the QPSK user shares 2 bits in a signal at a time. Mathematically, the QPSK data rate or bit will be twice as compared to binary PSK or BPSK.

Further, QAM modulation techniques are introduced, which are a combination of Amplitude modulation and PSK. Which shows better performance than only PSK. And most information technology and consumer companies have already adopted this modulation technique for high data rate communication.

For example, if we are using 4 QAM, then we can send 2 bits in a symbol where the data rate is twice as compared to binary PSK. For 16 QAM, we send 4 bits in a symbol where the data rate is 4 times as compared to BPSK.

Here in the above figure, for PSK, the phase of the carrier signal is shifted to represent data. Where is 8 PSK, 3 bits fit in each symbol? In 8 PSK, the distance between the constellation point is small compared to BPSK, and 4 PSK and Eb/No ratio (SNR per bit) has to become more significant to attain target BER. In the above figure, QAM performs better than PSK in normal SNR. But if the channel is extremely noisy, then we go for BPSK.

Modulation Techniques No of Bits in a Symbol
 BPSK  1
 QPSK  2
 8-PSK  3
 16-QAM  4
64-QAM 6

We use OFDM technology for practical communication systems, e.g., for 4G LTE. Data bits are first mapped using QAM and then fed to an inverse fast Fourier transform the system to modulate the data with multicarrier signals. The signal is transmitted thru an antenna. That's why OFDM is called the multicarrier modulation technique or MCM.

We frequently use BER vs. SNR graph to compare how one modulation scheme is better. For example, to maintain the same bit error rate (BER), we need less SNR in a typical PSK system than FSK, as PSK is less susceptible to noise than FSK.

On the other hand, the ASK system is more sensitive to noise than FSK and PSK.

So, if we arrange the above three modulation schemes as per their noise resistance, then we get,

PSK > FSK > ASK

[Read more about ASK, FSK, and PSK]

So, to maintain the same bit error rate (BER) in a communication process, we need to provide less Power (SNR) to a PSK system and more SNR to an ASK system.

 

4. Know How to Calculate BER vs. SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ... in MATLAB

For different modulation techniques, different BER vs. SNR calculation formulas exist. To learn more, click here.
 

5. Different approaches to calculate BER vs SNR

1. Theoratical BER vs SNR: Using probability theories of BER vs SNR. Example - ASK, FSK, PSK done before


 
 
 

2. Adding AWGN noise at different SNR to the transmitted modulated signal and then plot the BER at different SNR values

 


 

 

People are good at skipping over material they already know!

View Related Topics to







Admin & Author: Salim

profile

  Website: www.salimwireless.com
  Interests: Signal Processing, Telecommunication, 5G Technology, Present & Future Wireless Technologies, Digital Signal Processing, Computer Networks, Millimeter Wave Band Channel, Web Development
  Seeking an opportunity in the Teaching or Electronics & Telecommunication domains.
  Possess M.Tech in Electronic Communication Systems.


Contact Us

Name

Email *

Message *

Popular Posts

Comparisons among ASK, PSK, and FSK | And the definitions of each

Modulation ASK, FSK & PSK Constellation MATLAB Simulink MATLAB Code Comparisons among ASK, PSK, and FSK    Comparisons among ASK, PSK, and FSK ASK or OFF ON Keying Ask is a simple (less complex) Digital Modulation Scheme where we vary the modulation signal's amplitude or voltage by the message signal's amplitude or voltage. We select two levels (two different voltage levels) for transmitting modulated message signals for the exam. And for example, we mapped the signal as two-level  "+5 Volt"  (which is the upper level) and another level,  "0 Volt,"  which is considered as the lower level. Whenever we need to transmit binary bit  "1,"  then the transmitter transmits a signal of  "+5 Volts,"  and when we need to send bit  "0,"  then it transmits no power. But the receiver is intelligent enough to deflect whether you've sent binary bit  "1"  or  "0

UGC NET Electronic Science Previous Year Question Papers

Home / Engineering & Other Exams / UGC NET 2022: Previous Year Question Papers ...   NET | GATE | ESE | UGC-NET (Electronics Science, Subject code: 88 ) UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2023] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [June 2023] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2022]  UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [June 2022]   UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [December 2021] UGC Net Electronic Science Questions With Answer Key Download Pdf [June 2020] UGC Net Electronic Science Questions With Answer Key Download Pdf [December 2019] UGC Net Electronic Science Questions With Answer Key Download Pdf [June 2019] UGC Net Electronic Science Questions With Answer Key Download Pdf [December 2018] UGC Net Electronic Science Questions With Answer Key Download Pdf [July 2018] UG

Constellation Diagrams of ASK, PSK, and FSK

Modulation ASK, FSK & PSK Constellation This article will primarily discuss constellation diagrams, as well as what constellation diagrams tell us and the significance of constellation diagrams. Constellation diagrams can often demonstrate how the amplitude and phase of signals or symbols differ. These two characteristics lessen the interference between two signals or symbols. Figure 1: Constellation diagrams of ASK, PSK, and FSK The constellation points for ASK, PSK, and FSK [↗] are located in a different pattern, and the distances between the constellation points vary. According to the above diagram, the distance between ASK constellation points is (√Eb -0) = √Eb (where Eb stands for energy per bit). From the above figure, you can also see the distances between constellation points for PSK and FSK are 2√Eb and √(2Eb), respectively. In a constellation diagram, if the distance between signaling points is less, then the probability

MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...

Modulation Constellation Diagrams BER vs. SNR MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...   MATLAB Script for  BER vs. SNR for M-QAM, M-PSK, QPSk, BPSK %Written by Salim Wireless %Visit www.salimwireless.com for study materials on wireless communication %or, if you want to learn how to code in MATLAB clc; clear all; close all; EbN0=-4:1:24; % Signal to Noise Ratio per Bit (in dB) EbN0ratio=10.^(EbN0/10); % Converted into ratio colors={'k-*','r-h','g-o','c-s','m-s','y-*','k-p','b:s','m:d','g:p'}; index=1; %BPSK BPSK_BER = 0.5*erfc(sqrt(EbN0ratio)); plotHandle=plot(EbN0,log10(BPSK_BER),char(colors(index))); set(plotHandle,'LineWidth',1.7); hold on; index=index+1; %M-PSK m=2:1:5; M=2.^m; for i=M, k=log2(i); PSK_BER = 1/k*erfc(sqrt(EbN0ratio*k)*sin(pi/i)); plotHandle=plot

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

Beamforming Techniques MATLAB Codes for Beamforming... 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) bits/s. Thus, the capacity or overall throughput of the system increases. MATLAB Script %Written by Salim Wireless %Visit www.salimwireless.com for study materials on wireless communication %or, if you want to learn how to code in MATLAB clear all;

MATLAB Code for ASK, FSK, and PSK

ASK, FSK & PSK HomePage MATLAB Code MATLAB Code for Amplitude Shift Keying (ASK) % The code is written by SalimWireless.Com % Clear previous data and plots clc; clear all; close all; % Parameters Tb = 1; % Bit duration fc = 10; % Carrier frequency N = 10; % Number of bits % Generate carrier signal t = 0:Tb/100:1; carrier_signal = sqrt(2/Tb) * sin(2*pi*fc*t); % Generate message signal rng(10); % Set random seed for reproducibility binary_data = rand(1, N); % Generate random binary data t_start = 0; t_end = Tb; for i = 1:N t = [t_start:0.01:t_end]; % Generate message signal if binary_data(i) > 0.5 binary_data(i) = 1; message_signal = ones(1, length(t)); else binary_data(i) = 0; message_signal = zeros(1, length(t)); end % Store message signal message(i,:) = message_signal; % Modulate message with carrier