Goal: Advanced Digital Communication Laboratory is offered to postgraduate students and research scholars. Students are exposed to designing reliable digital communication transceivers by experimenting through MATLAB/Python/GNU radio simulation and Emona/ USRP Hardware kits.
Lab 1: Signal and Linear Systems: Analysis of various essential signals, tools and techniques from linear systems analysis, including both time-domain and frequency-domain characterizations that are most frequently used in design communication systems using simulation platform.
Lab2: Random Process: Generation of Random Variables, Estimation of the Mean of a Random Variable, Gaussian and Gauss-Markov Processes, Power Spectrum of Random Processes, Linear Filtering of Random Processes, Lowpass and Bandpass Processes

Lab3: Baseband Digital Transmission: Implementation of Binary and Four Amplitude Levels Signal Transmission (PAM), Optimum Receiver for the AWGN Channel, Signal Constellation Diagrams for Binary Signals,
Lab4: Transmission Through Bandlimited Channels: The Power Spectrum of a Digital PAM Signal, Characterization of Bandlimited Channels. Characterization of Intersymbol Interference, Signal Design for Zero ISI. Signal Design for Controlled ISI, Linear Equalizers, Non-linear Equalizers

Lab5: Digital Transmission via Carrier Modulation: Carrier-Amplitude Modulation, QPSK, FSK, QAM, Detection and demodulation in AWGN channel, estimate the performance of these schemes for an ideal channel via simulation, and to compare with analytical expressions.
Lab6: Synchronization in Communication Systems: Modeling Carrier Phase Uncertainty, Model and undo the effect of carrier phase mismatch between the receiver LO and the incoming carrier, Carrier Synchronization, Clock Synchronization
Lab7: Multicarrier Modulation and OFDM: Develop a hands-on understanding of basic OFDM transmission and reception
Lab8: Transmission Through Wireless Channels: Introduction to statistical modelling and performance evaluation for signalling on wireless fading channels. (Rayleigh and Rician )
Lab9: Channel Capacity and Coding: Provide hands-on experience with Channel Model and Channel Capacity, Linear block code, Convolutional Codes, Turbo Codes and Iterative Decoding, LDPC, Decoding LDPC Codes
Lab10: Spread Spectrum Communication System: Simulation of spread spectrum modulation and demodulation using PN code, Gold code and others and performance analysis

The course aims at understanding principles, theories and practices, which are fundamental to the successful design of a digital communication system by experimenting through simulation using MATLAB or open-source software.

Evaluate and compare the performance of the various digital communication schemes in wired and wireless channels

To provide hands-on experience with the different signal generation and testing instruments used for design communication (Signal generator and Signal Analyser)

Students should be able to
CO1: Analyse time- and frequency-domain models for digital communications systems with linear channels and additive noise.
CO2: Conduct various performance analyses of digital communication systems, bit error rate, power efficiency in AWGN and Fading Channels.
CO3: Understand real-world issues with over-the-air and wired data transmission, timing errors, frequency offset
CO4: Able to design, operate, maintain the equipment’s and software relevant to the communication and networking industry.
CO5: Ready for solving research and industry problems in Communication System

Proakis, John G., Masoud Salehi, and Gerhard Bauch., Contemporary communication systems using MATLAB., Cengage Learning, 2012.

Madhow, Upamanyu., Introduction to communication systems., Cambridge University Press

Tranter, W. H., Rappaport, T. S., Kosbar, K. L., & Shanmugan,, Principles of communication systems simulation with wireless applications,, Prentice-Hall, , 2004

4. Di Pu and Alexander M. Wyglinski,, Digital Communication Systems Engineering with Software-Defined Radio, Archtech