Course: Moder digital communication techniques for IoT applications

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Course title Moder digital communication techniques for IoT applications
Course code UAI/334
Organizational form of instruction Lecture + Lesson + Seminary
Level of course Master
Year of study not specified
Frequency of the course In each academic year, in the winter semester.
Semester Winter
Number of ECTS credits 3
Language of instruction English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Mukherjee Amrit, Dr. Ph.D.
Course content
PCM, Delta Modulation and Demodulation: Introduction to analog and digital modulation, Pulse Code Modulation, Electrical representation of Binary Digit, PCM system, Multiplexing of PCM signals, Differential PCM, Delta Modulation, Adaptive Delta Modulation, Delta Sigma modulation Digital Modulation and Demodulation Techniques: Band-pass transmission system, NB-IoT, BPSK, DPSK (Differential Encoded PSK), QPSK, ?/4 QPSK, OQPSK, M-ary PSK., BFSK, M-ary FSK, Minimum shift keying (MSK), GMSK, Comparison of BPSK, QPSK, ?/4 QPSK, OQPSK, BFSK, GMSK, QAM, M-ary LoRa Optimum Receivers for AWGN Channels: Correlation Receiver, Matched filter receiver, optimal detection, error probability for band limited signal, optimal detection, detection of signaling schemes with memory (maximum likelihood sequence detection, optimum receiver for PCM signals) Multiplexing and Synchronization: Introduction, frequency division multiplexing (FDM), time division multiplexing (TDM), Introduction to Code division multiplexing. Carrier phase estimation (maximum likelihood, phase lock looped, decision-directed loop), symbol time estimation (maximum likelihood, non-decision-directed timing estimation) Digital Communication through Band-Limited Channels for IoT: Band-limited channel: Characterization, optimal receiver for band-limited channels with ISI and AWGN, Linear equalization (peak distortion criterion, Mean Square Error (MSE) criterion), decision feedback equalizer Open research domains in next-generation wireless technology and IoT: Range and dissemination, power consumption, throughput, number of devices, types of networks supported, globalization usage, mobility, failover capabilities, multi-protocol support, security and privacy Content of tutorials/seminar: 1.Learning MATLAB/SIMULATOR, toolboxes and functions associated with Wireless Communication 2.Implementation of modulation techniques in simulator and analyze the signals 3.Design of hybrid modulation techniques and learn the channel properties 4.Learning IoT protocols and analyzing software defined networking

Learning activities and teaching methods
unspecified
Learning outcomes
1. To analyse basic analog and digital modulation for communication communication systems 2. The students should understand modern digital modulation techniques for wireless and IoT applications 3. To realize noisy channels, multiplexing and synchronization requirements 4. The students will analyze various band-limited channel for wireless and IoT applications 5. The students will understand various open ended research areas and possible extensions

Prerequisites
Basics on Communication Techniques and IoT

Assessment methods and criteria
unspecified
The student should complete the required credits in examination
Recommended literature
  • Communication System - Simon Haykin, John Willey - 4thedition,2011.
  • Communication Systems, Carlson A. and Paul Crilly, 5th Edition. McGraw Hill, 2009..
  • Digital Communication, John G. Proakis and MasoudSalehi, 5th Edition, McGrahill International, 2008 3. A Foundation in Digital Communications, Amos Lapidoth, Cambridge University Press, 2009.
  • Modern Analog & Digital Communication System - B.P.Lathi Oxford University Press - 4th edition,2011.
  • Principles of Communication Systems - H. Taub& D.L. Schilling, G.Saha - 4th edition,2013- McGrawHill.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester