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

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



Mechanism of wireless communication - step by step:

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

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

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 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

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 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

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;