Module 1: Introduction [2 hrs]
Introduction to Digital Communication, Elements of Digital Communication, Standardized interfaces and layering, Mathematical Models for Communication Channels and their characteristics, Review system designing and performance aspects, Networks aspects of digital interface, Historical background and developments in modern digital communication.

Module 2: Mathematical Preliminaries [ 6 hrs.]
Signals, LTI system and Fourier Transforms, The Nyquist Sampling theorem, Complex envelope representation, the spectrum of bandpass signal, low pass equivalent of bandpass signal, Energy considerations, low pass equivalent of a bandpass system.
Signal space representation of waveforms: Vector space concepts, Signal space concepts, Orthogonal expansions of signals, Gram-Schmidt procedure.
Random variable and random process - basic definition, useful random variables, complex random variable, stationarity, Wide-sense stationary process, Cyclostationary random process, ergodicity, auto-correlation, cross-correlation, PSD, Gaussian process, Spectral description of a random process, Markov chains.

Module 3: Digital Modulation Schemes and Optimum Receivers for AWGN Channels [12 hrs.]
Representation of digitally modulated signals, Memoryless modulation methods: PAM, PSK, QAM, Multidimensional Signaling, Signaling Schemes with Memory: CPFSK, CPM. Spectral properties of various modulation schemes and their comparison, The Nyquist criterion for ISI avoidance: relating bandwidth to the symbol rate
Optimum Receivers for AWGN Channels: Waveform and Vector Channel models, Optimum reception in AWGN, a union Bound on the probability of Error of Maximum Likelihood Detection, Optimal detection and error probability of band-limited and power limited signalling, detection non-coherent detection, Comparison of digital signalling methods: bandwidth and dimensionality, soft decisions, Elements of link budget analysis.

Module 4: Carrier and symbol Synchronization [6 hrs]
Receiver design requirements, Signal Parameter estimation: Carrier recovery and symbol synchronization in signal demodulation, Carrier Phase estimation, Symbol timing estimation, Joint estimation of Carrier Phase and Symbol timing, Performance characteristics of ML estimators.

Module 5: Channel Equalization [6hrs]
The channel model, Receiver front end, Eye diagram, Maximum Likelihood sequence estimation, Geometrical model for suboptimal equalizer design, Linear equalization, adaptive implementations, Decision feedback equalization, Performance analysis of MLSE, iterative equalization and Decoding-Turbo equalization.

Module 6: Information-theoretic limits and Channel Coding [6 hrs]
The capacity of AWGN Channel: modelling and geometry, Shannon theory basics: entropy, mutual information, and divergence, channel coding theorem, the capacity of standard constellations, parallel Gaussian channels and water filling
Channel codes: Binary convolutional codes, Turbo codes and iterative coding, LDPC codes, bandwidth-efficient coded modulation.

Module 7: Wireless Digital Modulation [8 hrs]
Physical modelling for wireless channels, Fading and diversity, OFDM, CDMA, MIMO- linear array, Beam-steering, MIMO-OFDM, Spatial Multiplexing, Space-time coding.

The course aims at understanding principles, theories and practices, which are fundamental to the successful design of a digital communication system

2. In this course students are introduced to advanced topics in digital communications and also acquire information about the latest emerging modern communication standards and underlying design principles

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

Make Students well equipped for research or cutting edge development in Communication System

CO1: Student would be able to possess the principles and theories required to design reliable communication link
CO2: Compare different digital communication techniques and judge their applicability and performance in different application scenarios.
CO3: Apply mathematical modelling to problems in wireline and wireless digital communications, and explain how this is used to analyze and synthesize methods and algorithms within the relevant communication standards
CO4: Demonstrate skillset to choose and optimise design parameters (e.g., power distribution, modulation, redundancy, speed) in advanced communication technologies used in the telecommunication industry
CO5: Possess fundamental grounding and sophistication needed to explore topics in Advanced and Emerging wireless communication standards like 4G, 5G and different WLAN that include MIMO, mmWave communication,

John. G. Proakis, Digital Communications, McGraw Hill

Upamanyu Madhow, Fundamentals of Digital Communication, Cambridge University Press, 2012

B. P. Lathi, Modern Digital and Analog Communication Systems, Oxford

3. J. R. Barry, E. A. Lee, and D. G. Messerschmitt, Digital Communication, Kluwer Academic Publishers, 2004

IEEE Transactions on Wireless Communications

EEE Transactions on Communications