Experiments
Implement the following using discrete components
1 FSK generation and detection
2 PSK generation and detection
3 DPSK Transmitter and receiver
4 QPSK Transmitter and Receiver
Implement the following in C/C++/MATLAB/Scilab/Python or any other Suitable software
5 Write a program to encode binary data using Huffman code and decode it.
6 Write a program to encode binary data using a (7,4) Hamming code and decode it.
7 Write a program to encode binary data using a ((3,1,2)/suitably designed) Convolution code and decode it.
8 For a given data, use CRC-CCITT polynomial to obtain the CRC code. Verify the program for the cases a) Without error b) With error
Implement the following algorithms in C/C++/MATLAB/Network simulator
9 Write a program for congestion control using leaky bucket algorithm.
10 Write a program for distance vector algorithm to find suitable path for transmission.
11 Write a program for flow control using sliding window protocols.
12 Configure a simple network (Bus/star) topology using simulation software OR Configure a simple network (Ring/Mesh) topology using simulation software.
Demonstration Experiments (For CIE)
13 Configure and simulate simple Wireless Local Area network.
14 Simulate the BER performance of (2, 1, 3) binary convolutional code with generator sequences g(1) =(1 0 1 1) and g(2) =(1 1 1 1) on AWGN channel. Use QPSK modulation scheme. Channel decoding is to be performed through Viterbi decoding. Plot the bit error rate versus SNR (dB), i.e. Pe,b versus Eb/N0. Consider binary input vector of size 3 lakh bits. Also find the coding gain.
15 Simulate the BER performance of (7, 4) Hamming code on AWGN channel. Use QPSK modulation scheme. Channel decoding is to be performed through maximum-likelihood decoding. Plot the bit error rate versus SNR (dB), i.e. Pe,b versus Eb/N0. Consider binary input vector of size 5 lakh bits. Use the following parity check matrix for the (7, 4) Hamming code. Also find the coding gain. H = [ 1 0 0 0 1 0 0 0 1 1 0 1 1 1 1 1 1 0 0 1 1 ]
16 Simulate the BER performance of rate 1/3 Turbo code. Turbo encoder uses two recursive systematic encoders with 𝐺(𝐷) = [1, 1+𝐷 4 1+𝐷+𝐷2+𝐷3+𝐷4 ] and pseudo-random interleaver. Use QPSK modulation scheme. Channel decoding is to be performed through maximum a-posteriori (MAP) decoding algorithm. Plot the bit error rate versus SNR (dB), i.e. Pe,b versus Eb/N0. Consider binary input vector of size of around 3 lakh bits and the block length as 10384 bits. Also find the coding gain.
Course outcomes (Course Skill Set):
On the completion of this laboratory course, the students will be able to:
1. Design and test the digital modulation circuits and display the waveforms.
2. To Implement the source coding algorithm using C/C++/ MATLAB code.
3. To Implement the Error Control coding algorithms using C/C++/ MATLAB code.
4. Illustrate the operations of networking concepts and protocols using C programming and network simulators.
Assessment Details (both CIE and SEE)
Continuous Internal Evaluation (CIE):
CIE marks for the practical course is 50 Marks.
The split-up of CIE marks for record/ journal and test are in the ratio 60:40.
The Sum of scaled-down marks scored in the report write-up/journal and average marks of two tests is the total CIE marks scored by the student.
Semester End Evaluation (SEE):
SEE marks for the practical course is 50 Marks. SEE shall be conducted jointly by the two examiners of the same institute, examiners are appointed by the University
Suggested Learning Resources:
1. Simon Haykin, “Digital Communication Systems”, John Wiley & sons, First Edition, 2014, ISBN 978-0- 471-64735-5.
2. K Sam Shanmugam, “Digital and analog communication systems”, John Wiley India Pvt. Ltd, 1996.
3. Forouzan, “Data Communications and Networking”, 5th Edition, McGraw Hill, 2013, ISBN: 1-25- 906475-3.