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Course Detail

Course Name Emerging Wireless Communication Systems
Course Code 25WN603
Program M.Tech. Wireless Networks & Applications (Specialising in IoT, AI, 5G, Blockchain) (For Working Professionals & Regular Students)
Semester 2
Credits 4
Campus Amritapuri

Syllabus

Syllabus

Foundations of Wireless Communication Systems and Channel Modeling: Wireless Communication Basics- RF, IF, baseband components, Modulation multiplexing, noise, interference. Antennas: types, integration, and characteristics; Radio Wave Propagation: Types and modes, Free Space Propagation Model; Propagation Mechanisms: Reflection, Diffraction, and Scattering. Path Loss Models: Outdoor and Indoor Propagation Models, Signal Penetration into Buildings, Ray Tracing and Site Specific Modeling; Physical Modeling for Wireless Channels: Small-Scale Fading and Multipath Propagation, Input /output model of the wireless channel, Time and frequency coherence: Doppler spread and coherence time, Delay spread and coherence bandwidth, Statistical characterization of channels, Rayleigh and Rician fading. 

Capacity of Wireless Channel: AWGN channel capacity, Resources of AWGN channel, Linear time-invariant Gaussian channels, Capacity of fading channels, Frequency Selective Fading. Techniques for enhancing wireless channel capacity. Multiple Access Techniques: OFDMA, CDMA, SDMA. Wireless Link Improvement: Introduction to types of codes, Equalization techniques, Diversity methods.Link Improvement: Introduction to types of codes, Equalization techniques, Diversity methods. 

Advanced Wireless Technologies- MIMO, Millimeter Wave (mmWave) Technology, Satellites and Radar Communication, Cognitive Radio. Existing design analysis for application scenarios: Visible Light communication systems, communication systems for Healthcare applications, communication systems for nautical applications, communication systems for MM wave, 5G/ 6G applications. 

Wireless Communication Laboratory: Conduct hardware and software experiments on Noise analysis and channel modelling, Modulation, Power spectrum analysis and Noise analysis, MIMO systems 

Objectives and Outcomes

Course Outcome Statement (CO) 

CO1 

Acquire knowledge about various building blocks in wireless communication system and design aspects including Modulation, Multiplexing, Noise, Interference 

CO2 

Ability to design and develop radio wave propagation mechanisms, propagation models and path loss models 

CO3 

Ability to creatively design physical and statistical modelling of wireless channel with multipath propagation effects 

CO4 

Acquire knowledge about estimation of channel capacity and its enhancement techniques 

CO5 

Ability to design and implement a wireless communication system based on given application 

 

CO – PO Affinity Map 

PO 

PO1 

PO2 

PO3 

PO4 

PO5 

PO6 

PO9 

PS01 

PSO2 

PSO3 

CO 

CO1 

3 

2 

3 

3 

3 

– 

– 

– 

– 

– 

CO2 

3 

3 

3 

– 

2 

– 

– 

– 

– 

– 

CO3 

3 

3 

3 

3 

2 

2 

– 

– 

– 

– 

CO4 

3 

3 

3 

2 

3 

– 

– 

– 

– 

– 

CO5 

3 

3 

3 

3 

2 

2 

2 

– 

– 

– 

Text Books / References

  1. David Tse, PramodViswanath, “Fundamentals of Wireless Communications”, CambridgeUniversity Press, 2005. 
  2. Andrea Molisch; “Wireless Communications”, Second Edition, John Wiley & Sons, 2011. 
  3. T. Rappaport; “Wireless Communications – Principles and Practice”, Second Edition,PrenticeHall, 2011. 
  4. Aditya K. Jagannatham, “Principles of Modern Wireless Communication Systems”, McGraw-Hill Education, 2015. 
  5. Jerry R. Hampton, “Introduction to MIMO Communications”, Cambridge University Press, 2013 
  6. Simon Haykin and Michael Moher; “Modern Wireless Communications”, Pearson Education, 2005. 

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