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

Sender, Source & Channel Coding, Channel, Receiver in wireless communication - step by step



Mechanism of wireless communication - step by step:

 

 
 

 
 



 
 
 
 
 
 
 
In the above figures, it is shown that in a typical wireless communication system, the original message signal, such as audio, is first converted into an electrical signal. It is then sampled and quantized. Afterward, the quantized signal is encoded into binary numbers. Remember, to transmit the signal through a wireless medium, you modulate the binary bits using a suitable modulation scheme before transmission. On the receiving end, you first demodulate the transmitted signal, then perform source decoding and other necessary operations to retrieve the original message (in this case, the audio) signal.

The range of wireless communication may be as short as 10 meter Bluetooth connection to interplanetary communication or deep space communication. Our daily usable gadgets, like, PDAs, smartphones, computers, satellite TV, etc. - all are example of wireless communication.


History of Wireless Communication:

First wireless conversation occurred in 1880 when Graham Bell and Tainter invented first photophone. It was a telephone that sent audio over a beam of light.Wireless telegraphy system was being developing by Marconi in 1894.Jagadish Chandra Bose invented millimeter wave communication during 1894 - 1896. Which was operating at very high frequencies up to 60 GHz. The work done on millimeter wave by Jagadish Chandra Bose and Lebedev may be dated back to 1890's.The true wireless revolution began in 1990's. Then digital wireless systems was pretty much developed. Then we see commercial usage of computer network, cellular network, mobile phones, laptops, etc.


Modern Wireless Communication Process:




Fig: Process of wireless communication

Wireless communication is a method of communication in which the transmitter and receiver communicate over the air or free space. Between the transmitter and the receiver, there is no wiring for wireless communication. The communication path, which is air or free space in this case, is referred to as a channel. The electrical signal is converted by the transmitter as '0' and '1'. The electric signal then transmits via the channel (air or free space) after a successful modulation procedure. The signal is then received by the receiver. It is practically difficult to recover the same signal that the transmitter sends. Due to attenuation or distortion, the signal becomes corrupted while travelling across the channel. A wireless communication system's fundamentals are as follows.

The following is a list of the various elements involved in the wireless communication process

1.Sender
2.Message
3.Encoding (source & channel coding)
4.Channel
5.Receiver
6.Decoding
7.Acknowlegement / Feedback


Sender:


Here, in communication process sender is who sends messages, files, audio, etc. to indented receiver. Here, sender send his message from smartphones, PCs, etc. using specific application.


Digitization of Message Signal in Communication Process (sampling + quantization):

In general, message signal's source is analogue in nature. Now, the analogue signal is turned into a digital signal (or, the original analogue signal is changed into '0' or'1' bits) by sampling and then quantization). Quantization helps to map the signal into finite levels. We convert analog signals to digital signals using the analog to digital converter (ADC).

There are also some exceptional cases where the source signal is not analog. The acquired images by radar, for example, are not analog signals because the image is a digital signal. After that, we process it and deliver it to the receivers on earth.


Source coding / encoding:

We are aware that the original message file is huge in size. Imagine how much memory is required to store a one-hour voice recording. It's likely that a few GB of memory is required. When we convert it to digital by just sampling at the very beginning of transmission procedure, it still requires a large number of memories to store. On the other hand, we always prefer to transmit a compressed signal over an uncompressed huge file if possible. So, we compress it. We use coding, also known as source coding, to compress the digitalized message signal. Source coding can reduce the size of a message signal. The message signal could be text, audio, or voice, for example. Text, voice, and audio messages can all benefit from source coding. For sending, original message without compressing it, it will take longer and result in more bit errors due to the larger file size. Popular examples of source coding are Huffman coding, LZW coding, etc.


Channel Coding in Communication Process:

After source coding, channel coding allows us to code the compressed message signal with various types of coding, such as forward error correcting (FEC) coding, so that we can recover the required message signal at the receiver terminal even if some bits are lost or distorted. Another illustration is the use of the CRC or cyclic coding technique in OFDM 4G-LTE communication to retrieve the original signal or measure the channel's status.


# Wireless channel are more prone to bit error than wired channels

Digital communication and its application and pictures


Next Page>>

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

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

Modulation Constellation Diagrams BER vs. SNR BER vs SNR for M-QAM, M-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 the 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,...

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 Comparison among ASK,  FSK, and PSK Performance Comparison: 1. Noise Sensitivity:    - ASK is the most sensitive to noise due to its reliance on amplitude variations.    - PSK is less sensitive to noise compared to ASK.    - FSK is relatively more robust against noise, making it suitable for noisy environments. 2. Bandwidth Efficiency:    - PSK is the most bandwidth-efficient, requiring less bandwidth than FSK for the same data rate.    - FSK requires wider bandwidth compared to PSK.    - ASK's bandwidth efficiency lies between FSK and PSK. Bandwidth Calculator for ASK, FSK, and PSK The baud rate represents the number of symbols transmitted per second Select Modulation Type: ASK...

Raised Cosine Filter in MATLAB

  MATLAB Code clc; clear all; close all; Data_sym = [0 1 1 0 1 0 0 1]; M = 4; Phase = 0; Sampling_rate = 48e3; Data_Rate = 100; Bandwidth = 400; Upsampling_factor = Sampling_rate/Data_Rate; Rolloff = 0.4; Upsampled_Data = upsample(pskmod(Data_sym,M,Phase),Upsampling_factor); Pulse_shape = firrcos(2*Upsampling_factor,Bandwidth/2,Rolloff,Sampling_rate,'rolloff','sqrt'); Output What if we change the roll-off roll-off = 0.01 roll-off = 0.99 What if we change the bandwidth Bandwidth = 100 Hz     Bandwidth = 1000 Hz    What if we change the sampling rate  Sampling rate = 10 KHz  Sampling rate = 100 KHz Another MATLAB Code % The code is developed by SalimWireless.Com clc; clear; close all; % Parameters fs = 1000; % Sampling frequency in Hz symbolRate = 100; % Symbol rate (baud) span = 6; % Filter span in symbols alpha = 0.25; % Roll-off factor for raised cosine filter % Generate random data symbols numSymbols = 100; % Number of symbols data = randi([0 1], num...

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 ...

Frequency Bands : EHF, SHF, UHF, VHF, HF, MF, LF, VLF and Their Uses

Frequency Bands EHF, SHF, UHF, VHF, HF, MF, LF... 1. Extremely High Frequency (EHF)30 - 300 GHz Uses 5G Networks 5G millimeter wave band , 6G and beyond (Experimental) RADAR, 2. Super High Frequency (SHF)3 - 30 GHz Uses Ultra-wideband (UWB , Airborne RADAR, Satellite Communication, Microwave Link Communication or SATCOM 3. Ultra High Frequency (UHF)300 - 3000 MHz Uses Satellite Communication, Television, surveillance, navigation aids Also, read important wireless communication terms 4. Very High Frequency (VHF)30 - 300 MHz Uses Television, FM broadcast, navigation aids, air traffic control, 5. High Frequency (HF)3 - 30 MHz Uses Telephone, Telegram and Facsimile, ship to coast, ship to aircraft communication, amateur radio, 6. Medium Frequency (MF)300 - 3000 KHz Uses coast guard communication, direction finding, AM broadcasting , maritime radio, 7. Low Frequency (LF)30 - 300 KHz Uses Radio beacons, Navigational Aids 8. Very Low Frequency (VLF)3 - 30 KHz...

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 2024] UGC Net Electronic Science Questions Paper With Answer Key Download Pdf [June 2024] 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...

Difference between AWGN and Rayleigh Fading

Wireless Signal Processing Gaussian and Rayleigh Distribution Difference between AWGN and Rayleigh Fading 1. Introduction Rayleigh fading coefficients and AWGN, or additive white gaussian noise [↗] , are two distinct factors that affect a wireless communication channel. In mathematics, we can express it in that way.  Fig: Rayleigh Fading due to multi-paths Let's explore wireless communication under two common noise scenarios: AWGN (Additive White Gaussian Noise) and Rayleigh fading. y = h*x + n ... (i) Symbol '*' represents convolution. The transmitted signal  x  is multiplied by the channel coefficient or channel impulse response (h)  in the equation above, and the symbol  "n"  stands for the white Gaussian noise that is added to the signal through any type of channel (here, it is a wireless channel or wireless medium). Due to multi-paths the channel impulse response (h) changes. And multi-paths cause Rayleigh fa...

How to use MATLAB Simulink

  MATLAB Simulink is a popular add-on of MATLAB. Here, you can use different blocks like modulator, demodulator, AWGN channel, etc. And you can do experiments on your own.       Steps Go to the 'Simulink' tab at the top navbar of MATLAB. If not found, click on the add-on tab, search 'Simulink,' and then click on it to add. Once you installed the simulation, click the 'new' tap at the top left corner. Then, search the required blocks in the 'Simulink library.' Then, drag it to the editor space. You can double-click on the blocks to see the input parameters Then, connect the blocks by dragging a line from one block's output terminal to another block's input. If the connection is complete, click the 'run' tab in the middle of the top navbar.   After clicking on the run button, your Simulink is ready. Then double-click on any block to see the output   The following block diagram is an example of the MATLAB simulation of 'QPSK...