Communication Engineering (M Tech)

Communication Engineering (M Tech)

School of Engineering

Electrical, Electronics and Communication

Engineering

2017-19

1.1.3

M. Tech Communication Engineering

Batch: 2017-2019

First Semester

Sl. No. Course Code Course Title L T P C

1 MATH5001 Advanced Numerical & Statistical Methods (UC)

3 1 0 4

2 MCEN5003 Advanced Radiation Systems (PE)

3 0 0 3

3 MCEN5002 Information Theory and Coding (PC)

3 0 0 3

4 MCEN5004 MODERN DIGITAL SIGNAL PROCESSING (PE)

3 0 0 3

5 MCEN5001 Microwave Integrated Circuits 3 0 0 3

6 MCEN5005 Advanced Digital Signal Processing Lab (PC)

0 0 2 1

7 MCEN5006 Information Theory and Coding Lab (PC)

0 0 2 1

Total Credits 18

Second Semester

Sl. No. Course code Course Title L T P C

1 CENG5001 Professional and Communication skills (UC)

0 0 4 2

2 MCEN5007 Optical Networks (PC) 3 0 0 3

3 MCEN5008 Advanced Satellite Communication (PE)

3 0 0 3

4 MCEN5009 Mobile Ad Hoc Networks (PE)

3 0 0 3

5 MCEN5010 MOBILE Communication Techniques (PC)

3 0 0 3

6 MCEN5011 Digital Communication System Design (PC)

3 0 0 3

7 MCEN5012 Digital Communication System Design Lab (PC)

0 0 2 1

8 MCEN5013 Optical Communication Lab (PC)

0 0 2 1

Total Credits 19

Third Semester


1 MCEN6001 Advanced Digital Image Processing 3 0 0 3

2 MCEN6002 Mobile Computing 3 0 0 3

3 MCEN6003 Network Routing Algorithms

3 0 0 3

4 MCEN6004 Soft Computing 3 0 0 3

5 MCEN9998 Capstone Design-1 0 0 10 5

Total Credits 17

Fourth Semester


1 MCEN9999 Capstone Design-2 (PC)

0 0 30 15

Name of The Course Advanced Numerical & Statistical Methods

Course Code MAT502

Prerequisite Matrices and Calculus L T P C 3 1 0 4

Unit1 System of Equations

Solution of system of non linear equation- Newton Raphson and Modified Newton Raphson Method. Iterative methods.

Unit-2 Interpolation and Approximation 8 hours

Lagrange, Spline and Hermite interpolation, Approximations, Error of approximation,

Norms for discrete and continuous data, Least square approximation.

Unit-3 Numerical Integration 8 hours

Newton Cotes closed Quadrature, Gauss Legendre Quadrature, Multiple Integration.

Unit-4 Numerical Solution of Differential Equations 8 hours

Finite Difference Schemes, Numerical solution of Ordinary differential equation using

Modified Euler’s method, Runge-Kutta method of 2nd, 3rd and 4th orders, Predictor-

Corrector method, Solution of Laplace’s and Poisson’s equations by Liebmann’s method,

Solution of one dimensional time dependent heat flow.

Unit-5 Probability and statistics 8 hours

Review of concept of probability, Random Variables, Continuous and discrete distribution

function, moments and moments generating functions, Binomial, Poisson, Negative

Binomial, Geometric and Hyper-geometric Distributions, Uniform, Normal, Exponential,

Gamma and Beta distributions. Point and Interval estimation, Testing of Hypothesis (t-test

and chi square test), Analysis of variance and Introduction of Design of experiments.

MCEN5003 Advanced Radiation Systems L 3

T 0

P 0

C 3

Version No. 1.0

Prerequisite -

Course

Description:

This course deals with various modern antennas such as Microstrip

antenna, UWB antenna and smart antenna. The discussion on analysis

and synthesis of antenna arrays are provided. Radiation from

aperture antennas and measurement of various antenna parameters are

also discussed.

Expected Outcome: At the end of the course, the student will be able to

1. Understand basic concept of radiation.

2. Analyze and synthesize antenna arrays. 3. Design aperture antennas and Microstrip antennas.

Unit I Basic Concepts of Radiation

Radiation Mechanism – single wire, Double wire, dipole, Current distribution of thin wire antenna,

Basic antenna parameters, Vector magnetic potential, Impedance concept-Balanced to Unbalanced

transformer, Power radiated from Half wave dipole antenna.

Unit II Analysis and Synthesis of Array Antennas

Types of linear arrays- Uniform spacing and amplitude, Uniform spacing and non-uniform

amplitude, current distribution and directivity, Phased arrays, Continuous aperture sources, Antenna synthesis techniques.

Unit III Radiation from Apertures

Field equivalence principle, Rectangular and circular apertures, Uniform distribution on an

infinite ground plane, Babinet‟s principle, Geometrical theory of diffraction, Horn antenna – „E‟ plane, „H‟ plane and Pyramidal types, Parabolic Reflector antenna.

Unit IV Micro Strip Antennas

Radiation mechanisms, Feeding methods, Rectangular patch, Circular patch, Input impedance of patch antenna, Circular polarization, Microstrip dipole, Microstrip arrays.

Unit V Antennas and Measurements

Modern Antennas: EBG antennas, UWB antennas, Smart Antennas, Terrahertz antennas.

Antenna measurements: Antenna range, Radiation patterns, Gain, Directivity, Impedance

and polarization measurements.

Reference Books

1. Balanis.A, "Antenna Theory Analysis and Design", 3rd edition, John Wiley and Sons, New

York, 2010.

2. Kraus.J.D.,"Antennas for all applications" 3rd edition, TMH, 2010.

3. Collin.R.E. and Zucker.F.,"Antenna Theory", Mc Graw Hill,New York,1996.

4. R.S.Elliot, “Antenna Theory and Design”, IEEE Press, John Wiley, 2005.

Mode of Evaluation Written Examinations, Quizzes, Assignments.

Recommended by the Board of Studies on:

Date of Approval by the Academic Council:

MCEN5002 Information Theory and Coding L 3

T 0

P 0

C 3

Version No. 1.0

Prerequisite

Course Description This course deals with Information content of message and various coding methods.

Expected Outcome: At the end of the course, student will be able to:

1. Understand the concept of Information Theory.

2. Know various coding Techniques. 3. Understand existing cryptographic techniques.

Unit I Introduction to Information Theory

Information theory and statistics. Method of types. Stein‟s lemma. AEP. Information capacity of

networks. Slepian-Wolf theorem. Optimal investment and information theory. Universal portfolios and

universal data compression. Maximum entropy and Burg‟s theorem.

Unit II Introduction to Coding Theory

An overview – A frame work for Digital communications-Concepts of Information theory for

Discrete alphabets-Information source and Entropy: Entropy for Discrete Random Variable,

Shannon‟s noiseless coding theorem, Mutual information and Channel capacity, information measures for continuous random variables

Unit III Linear Block Codes and Convolution Codes

Binary Linear Block Codes, The generator matrix and the parity check matrix. Examples of

linear block codes. Cyclic codes. Hard Decision Decoding-Probability of error for Hard

Decision Decoding for AWGN, Soft Decision Decoding- Probability of error for Soft Decision

Decoding for AWGN. Non-Linear Block codes-Reed Solomon code.

Convolution, Encoder Basic structures-Code characterization: Trellis Diagrams-Maximum

Likelihood Decoding-Viterbi algorithm-Distance properties of Convolutional codes for

Binary-Input channels-Intersymbol Interference channels-Coding for Intersymbol

Interference channels. Unit IV Space Time Codes

System model-Independent fade coefficients, Design criteria for Rayleigh Space-Time

Codes-Code Construction-Reconfiguration efficiency of Space-Time coding. Space-Time

codes for frequency selective channels-Coding gain properties-Diversity gain properties- Space-time trellis code design.

Unit V Cryptography

Security issues, private key encryption algorithms-stream ciphers, Shannon‟s theory,

Introduction to number theory-modular arithmetic, public key encryption algorithms- Diffie-

Hellman-public key distribution scheme, RSA public key distribution crypto system; Message authentication, hashing functions, Digital signatures.

Reference Books

1.Andrew J,Viterbi “ Principles of Digital Communication and Coding”, McGraw- Hill,1996.

2. Ranjan Bose, “Information Theory, Coding and Cryptography”, TMH Publication, 2003.

3. M.Y.Rhee,“Cryptography and Secure communication”, McGraw-Hill, 1994.

4. Andrea Goldsmith, “ Wireless Communications”, Cambridge University Press,2005.

5. Saro Glisic ,Advanced Wireless Communications 4G technologies, Wiley & Sons.

6. Stephen G.Wilson, “ Digital Modulation & Coding”, Prientice-Hall Inc.1996.

7. Daniel J.Costello ,“Error-Control Coding”, Pearson Education Inc.2004.

8. John G.Proakis, “Digital Communication”, 4th edition, McGraw Hill.

Mode of Evaluation Written Examinations, Quizzes, Assignments, Lab Exams and Viva-voce.



MCEN5004

Modern Digital Signal Processing

L

3

T

0

P

0

C

3

Version No. 1.0

Prerequisite

Objectives: This course examines the fundamentals of detection and estimation for signal

processing. It will help the students to implement new algorithms for signal

processing applications in frequency, time and mixed domains.

Expected

Outcome:

On completion of this course, the students will be able to

1. Learn Multirate signal processing.

2. Design digital filters. 3. Know signal processing application in frequency and time domain.

Unit I Introduction to Modern Digital Signal Processing

Introduction to Modern Digital Signal Processing: Signals, systems and signal processing (continuous

& discrete an overview), time domain and frequency domain analysis of signals. Sampling and

reconstruction of signals, Concepts of Two dimensional, Multi-rate and adaptive signal processing.

Unit II Design Of Filters

Design of digital filters, moving average filters, adaptive filters and Filter banks.

Unit III Fast Fourier Transform

Discrete and fast Fourier transform algorithms, Power spectrum estimation

Unit IV Introduction to Digital signal Processors

Introduction to Digital signal Processors: Fixed and Floating Point Processors, Complex numbers –

fixed and floating point representation. Applications: Applications of Digital Signal Processing to

Speech & Audio coding and processing

Unit V Design and implementation example

An IIR and FIR audio filters - Modelling in MATLAB - Analog measurement on DSP Systems,

Fixed and floating Point Realization impacts.

Reference Books

1. Steven W. Smith, “ Digital Signal Processing: A Practical Guide for Engineers and Scientists”,

Elsevier, 2003.

2. John G. Proakis, “Digital Signal Processing Principles, Algorithms and Applications” , 4th

edition , PHI 2007.

3. Lawrence R. Rabiner, Bernard Gold, “Theory and Application of Digital Signal Processing”,

PHI 2001.

4. Roberto Cristi “Modern Digital Signal Processing”, Thomson Brooks/Cole, 2004.

Mode of Evaluation Quiz/Assignment/ Seminar/Written Examination



MCEN5001 Microwave Integrated Circuits L 3

T 0

P 0

C 3

Version No. 1.0

Prerequisite -

Objectives: This course deals with various active and passive Microwave Integrated

Circuits.

Expected

Outcome:

At the end of the course, the student will be able to

1. Know various types of MICs.

2. Have knowledge on various passive MICs. 3. Design Microwave Amplifiers and Oscillators.

Unit I Introduction to Microwave Integrated Circuits

MMIC- technology, - Hybrid MICs- Dielectric substrates - thick film technology and

materials - thin film technology and materials – methods of testing – encapsulation of devices

for MICs – mounting of active devices. Monolithic MICs - Processes involved in fabrication

– epitaxial growth of semiconductor layer – growth of dielectric layer – diffusion-ion implantation – electron beam technology.

Unit II Passive Components

Inductors, capacitors, resistors, microstrip components, Circulators, Isolators, Phase Shifters,

multilayer techniques, micromachined passive components, switches & attenuators, filter design.

Unit III Analysis of Microstrip lines

Methods of conformal transformation – numerical method for analysis – hybrid mode analysis – coupled mode analysis- method of images – losses in miscrostrips.

Unit IV Amplifiers and Oscillators

Amplifiers -Stability & gain analysis, matching techniques, reactively matched amplifier design,

LNA, Oscillators- Design principles, mixers.

Unit V Coupled Microstrips and Modern Antennas

Coupled microstrips – even and odd mode analysis – microstrip directional couplers –

branch line couplers – periodic branch line couplers – synchronous branch line couplers. Integrates antenna selection, photonic band gap antennas, micro machined antenna,

micro electro mechanical system antennas.

Reference Books

1. Ravender Goyal, “Monolithic MIC; Technology & Design”, Artech House, 1989.

2. Gupta K.C. and Amarjit Singh, “ Microwave Integrated Circuits”, John Wiley, New

York, 1975.

3. Hoffman R.K. “Handbook of Microwave Integrated Circuits”, Artech House, Boston,

1987.

4. Ulrich L. Rohde and David P.N., “ RF / Microwave Circuit Design for Wireless

Applications”, John Wiley, 2000.

5. C. Gentili, “ Microwave Amplifiers and Oscillators”, North Oxford Academic, 1986.

6. Annapurna Das and Sisir K Das, “ Microwave Engineering”, Tata McGraw-Hill Pub.

Co. Ltd., 2004.

7. Samuel. Y. Liao, “ Microwave Circuit Analysis and Amplifier Design”, Prentice Hall.

Inc., 1987.

8. Mathew N.O. Sadiku, “Numerical techniques in Electromagnetics”, CRC Press, 2001.

9.D.M.Pozar, “Microwave Engineering”, John Wiley, 2005.




MCEN5005 Advanced Digital Signal Processing

Lab

L T P C

Version1.1 Date of Approval: Jun 06, 2017 0 0 2 1

Pre-requisites//Exposure Signals and Systems

co-requisites

Course Objectives

1. Understand the DSP concepts and to relate to real applications. 2. Time domain and frequency domain implementation.

Course Outcomes

At the end of the Course, the student will be able to

CO1: Develop elementary signals/ waveforms and perform arithmetic operations on signals

using MATLAB Software Package.

CO2: Develop various DSP Algorithms using MATLAB SoftwarePackage

CO3: Understand Sampling Theorem, Aliasing using MATLAB Software Package

CO4: Analyze and Observe Magnitude and phase characteristics(Frequency response

Characteristics) of digital IIR filters

CO5: Analyze and Observe Magnitude and phase characteristics(Frequency response

Characteristics) of digital FIR filters using Window techniques

List of Experiments

1. Mat lab simulation of discrete time signals: time domain representation.

2. Introduction to DSP kit T1DSKc6713.

3. Create, configure & build a new project in CCS & debugging using breakpoints &

watch window: Dot product of two arrays.

4. Codec Input/ output & graphing an array

5. Implementing Filters Using a Timer on DSP

6. Mini project on digital filter design

Catalog Description

Digital signal processing (DSP) is concerned with the representation of signals in digital form,

and with the processing of these signals and the information that they carry.

Text Books

1. Oppenheim A.V., Schafer, Ronald W. & Buck, John R.,”Discrete Time Signal processing”,

Pearson Education ,2nd Edition.

Reference Books

1. De Fatta, D.J.Lucas, J.G. & Hodgkiss, W. S.,” Digital Signal Processing”, John Wiley& Sons.

2. Proakis, J.G. & Manolakis, D.G.,” Digital Signal Processing: Principles Algorithms and

Applications”, Prentice Hall of India.

3. Rabiner, L.R. and Gold B., “Theory and applications of DSP”, Prentice Hall of India.

MCEN5006 Information theory and coding lab L 0

T 0

P 2

C 1

Version No. 1.0

Prerequisite

Objectives: Course Objectives

This course deals with various coding techniques used and their simulation

using MATLAB.

Expected

Outcome:

At the end of the course, students will be able to

1. Simulate various coding schemes.

2. Perform encryption and decryption techniques.

Lab Exercises

1. Introduction to MATLAB

2. Study of PCM Modulation & Demodulation

3. study of cyclic & Binary Linear Codes

4. To study the Error Detection & Correction Codes

a. Parity Bit

b. Hamming Codes

5. To study the convolution codes

6. To study the codes for ISI

7. To study the Space Time Codes

8. To study the Private key Encryption

9. To study the Public key Encryption

10. To study the Message Authentication

11. To study the Digital Signature Authentication

Reference Books




CENG5001 PROFESSIONAL AND COMMUNICATION SKILL 0 0 4 2

Version No. 1.0

Prerequisite -

Objectives: To develop the professional and communication skills of learners in a technical environment. To enable the students to acquire functional and technical writing skills. To acquire state-of-the-art presentation skills in order to present technical topics to both technical and non-technical audience.

Expected Outcome: The learners will be able to exhibit their language proficiency and skill in Describing, Investigating, Designing and Making and Using Technology.

Unit I

Functional Language Basic structures- Tense agreement, Prepositional phrases Techno-words : Basic Concepts 62, 63 Pronunciation : sounds of syllables: Past tense & plural endings

Technical Expression Organisational techniques in technical writing Guided writing: Paragraph Writing, Note Making

Presentation Skills Techniques of presentation (general topics : speech without visual aids) Listening to speeches and comprehending

Graphical Skills Flow chart : Process and Functional description

Unit II

Functional Language Basic structures- Voice, Conditionals Techno-words : Basic Concepts 64,65,67 Pronunciation : Word Stress: two syllable words

Technical Expression Mechanics of Technical Writing and Syntax Guided writing: Letter and email

Presentation Skills Interpersonal Communication Skills Writing techniques for Power point presentation, Group Discussion

Graphical Skills Technical Illustrations and Instructions

Unit III

Functional Language Basic structures- Modal Verbs and Phrasal verbs

Techno-words : Basic Concepts 68,69,70,71 Pronunciation : Word Stress: compound words

Technical Expression Mechanics of Technical Writing and Syntax Guided writing: Technical Description

Presentation Skills Career advancement: Technical Resume and Company Profile Presentation and Group Discussion

Graphical Skills Pie chart, Bar chart, Line graphs: analysis and interpretation

Unit IV

Functional Language Basic structures- Modal Verbs and Phrasal verbs Techno-words : Basic Concepts 72,73,74, Functional vocabulary 87 Pronunciation : Sentence Stress

Technical Expression Guided and Free writing: Abstract and Technical articles

Presentation Skills Nuances of Presentation to a Technical audience

Graphical Skills Oral Presentation of graphical representation

Text Books and softwares

1. English Vocabulary in Use Advanced, McCarthy & Felicity, CUP, 2003 2. Sky Pronunciation CD-ROM 3. Cambridge Advanced Learner’s Dictionary CD-ROM

4. English Master : Grammar

References

1. Writing, Researching, Communicating, Keith et al, Tata McGraw-Hill, 1989

2. Advanced English Grammar, Martin, CUP, 2006

Mode of Evaluation Online quizzes, Speaking Skills tests, PowerPoint presentation Recommended by the Board of Studies on:


MCEN5007 Optical Networks L 3

T 0

P 0

C 3

Version No. 1.0

Prerequisite

Objectives: This course provides insight on light wave networks. It emphasizes on

methodology for optical network design and analysis.

Expected

Outcome:


1. Understand the technology of a light wave network. 2. Design and analyze a light wave network of various classes.

Unit I Network Elements

Optical and Photonic Device Technology: Attenuation and dispersion, Chirp, Dispersion

Management, Couplers, Isolators, Circulators, Multiplexers and Filters, EDFA, Raman Amplifier,

SOA, SRA, Active and Passive Optical Switches, Optical Cross Connects, Wavelength Selective

Cross Connects, Wavelength Converters, Optical Time Domain Reflectometry (OTDR),Optical

Spectrum Analysers (OSA),WDM and Filters: dielectric, AWG and Fiber Bragg Grating (FBG)

devices, Nonlinear optical fibers.

Unit II Optical Modulators

Phenomenological theory of nonlinearities. Optics of anisotropic media. Harmonic generation,

mixing and parametric effects. Two-photon absorption, saturated absorption and nonlinear refraction.

Rayleigh, Brillouin and Raman scattering. Self-focusing and self-phase-modulation. Self-induced

transparency Solitons. Optical switching, Electro-Optic Effect and Acousto-Optic effects. EO and

AO modulators. .

Unit III Detection and receiver design

Receiver Sensitivity – Bit-Error Rate, Eye Pattern, Minimum received power, Quantum limit of photo

detection; Receiver Design – Front End, Linear channel, Decision circuit, Integrated Receivers; Noise

in detection Circuit – Shot Noise, Thermal noise; Concept of Carrier to Noise Analysis.

Unit IV Network Architectures and Topologies

The End To End Transmission Path, Loss And Dispersion Budgets in Network Designing, Optical

Signal Flow And Constraints, Design of STAR, BUS, MESH and RING Topologies, Static

Multipoint Networks: The Broadcast Star, Multiplexing and Multiple Access Schemes: TWDM/MA,

Sub carriers, CDMA, Capacity Allocation for Dedicated Connections, Demand Assigned

Connections.

Unit V Optical Networks Architecture

Optical Networks Architecture, SONET/SDH Optical Network, WDM Optical Networks,

Wavelength Routed Optical Network, Routing Algorithms, Network Monitoring and Management,

Fault and Security Management, Routing Protocols, Intelligent Optical Network (ION), FDDI,

FTTH, Business Drivers for Next Generation-Optical Networks, Coherent Optical Communication

Systems and Design Requirements,

Reference Books

1. R. Ramaswami & K.N. Sivarajan, Morgan Kaufmann,” Optical Networks A practical

Perspective”, 2nd Edition, Pearson Education, 2000. rd

2. Govind P. Agrawal, “Fiber-Optic Communication Systems” , 3 Ed., John Wiley & Sons 2003.

3. Gerd Keiser, “Optical Fiber Communications” McGraw-Hill, 3rd Edition, 2000.

4. Thomas E. Stern and Krishna Bala, “Multiwavelength Optical Networks A Layered

Approach”, Addison Wesley, 1996.




MCEN5008 Advanced Satellite Communication L 3

T 0

P 0

C 3

Version No. 1.0

Prerequisite -

Objectives: This course describes multiplexing and multiple access techniques used in

Satellite communication. The satellite link design is also discussed. GPS and

applications of satellite communication are covered in this course.

Expected

Outcome:


1. Discuss various multiplexing and multiple access techniques.

2. Design satellite uplink and downlink in various conditions. 3. Understand GPS concepts.

Unit I Introduction to Satellite Communication

Satellite Systems, Orbital description and Orbital mechanics of LEO, MEO and GSO,

Placement of a Satellite in a GSO, Satellite – description of different Communication

subsystems, Bandwidth allocation.

Unit II Multiplexing and Multiple Access Techniques

Different modulation and Multiplexing Schemes, Multiple Access Techniques – FDMA, TDMA, CDMA, and DAMA, Coding Schemes.

Unit III Satellite Link Design

Basic link analysis, Interference analysis, Rain induced attenuation and interference,

Ionospheric characteristics, Link Design with and without frequency reuse.

Unit IV Global Positioning System

Radio and Satellite Navigation, GPS Position Location Principles, GPS Receivers and

Codes, Satellite Signal Acquisition, GPS Receiver Operation and Differential GPS

Unit V Applications

Satellite Packet Communications , Intelsat series – INSAT series –VSAT, mobile satellite

services, IMMERSAT, Satellite and Cable Television, DBS (DTH), VSAT, Satellite

Phones.

Reference Books

1. Wilbur L. Pritchard, H.G. Suyderhoud ,Robert A.Nelson, Satellite Communication

Systems Engineering, Prentice Hall, New Jersey, 2006.

2. Timothy Pratt and Charles W.Bostain, Satellite Communications, John Wiley and

Sons, 2003. 3. D.Roddy, Satellite Communication, McGrawHill, 2006.

4. Tri T Ha, Digital Satellite Communication, McGrawHill,1990.

5. B.N.Agarwal, Design of Geosynchronous Spacecraft, Prentice Hall, 1993.

Mode of Evaluation Quiz/Assignment/ Seminar/Written Examination Recommended by the Board of Studies on:


MCEN5009 Mobile Ad Hoc Networks

Course

Description

This course introduces literature on wireless and ad-hoc networks. It exposes

fundamental issues in designing and analyzing Wireless and ad-hoc network.

Expected

Outcome:


1. Know the fundamentals of Mobile Ad Hoc Networks.

2. Analyze various routing methods. 3. Understand multicasting protocol.

Unit I Ad Hoc Wireless Networks

Introduction to cellular and ad hoc wireless networks, applications of ad hoc networks,

issues in ad hoc wireless networks – medium access scheme, routing, multicasting, transport

layer protocols, pricing scheme, quality of service provisioning, self organization, security, address

and security discovery, energy management, scalability, deployment considerations, ad hoc wireless Internet.

Unit II MAC Protocol

Issues in Designing a MAC Protocol for ad hoc wireless networks, design goals of a MAC Protocol for Ad

Hoc Wireless Networks, Classification of MAC Protocols, Contention based Protocols, Contention based

Protocols with Reservation mechanism, Contention Based MAC Protocols with Scheduling

Mechanisms, Other MAC protocols.

Unit III Routing Protocol

Design issues and classification, Table-driven, On-demand and Hybrid routing protocols, Routing

protocols with efficient flooding mechanisms, Hierarchical and power-aware routing protocols.

Unit IV Multicasting Protocol

Design issues and operation, Architecture Reference Model, classification, Tree-based and Mesh-

Based Protocols, Energy-Efficient Multicasting, Multicasting with Quality of Service Guarantee,

Application Dependent Multicast Routing. Quality of Service: Issues and challenges in providing QoS, Classification of QoS solutions, MAC layer solutions, Network layer solutions, QoS frameworks, Network security issues. Unit V Energy Management

Need, classification of battery management schemes, Transmission power management schemes,

System power management schemes. Wireless Sensor Networks: Architecture, Data dissemination, Date gathering, MAC protocols, location discovery, Quality of a sensor network.

Reference Books

1. Charles E. Perkins, “Ad hoc Networks”, Addison – Wesley, 2000

2. C. Siva Ram Murthy and B. S. Manoj, “Ad Hoc Wireless Networks Architectures and Protocols”,

Prentice Hall, PTR, 2004. 3. C. K. Toh, “Ad Hoc Mobile Wireless Networks Protocols and Systems”, Prentice Hall, PTR, 2001. 4. Mohammed Ilyas, “The Handbook of AdHoc Wireless Networks”,CRC press, 2002.

MCEN5010 Mobile Communication Techniques L 3

T 0

P 0

C 3

Version No. 1.0

Prerequisite Signals and Systems, Modulation Theory, Digital Communication

Objectives: This course deals with the world of Mobile Communication System and keeps

abreast of the future of mobile communication.

Expected

Outcome:


1. Understand 2G and 3G Wireless networks

2. Have a knowledge in Channel coding and Diversity 3. Understand various Modulation techniques for Mobile Radio.

Unit I Introduction to Wireless Mobile Communications

History and evolution of mobile radio systems. Types of mobile wireless services/systems-

Cellular, WLL, Paging, Satellite systems, Standards, Future trends in personal wireless systems.

Unit II Cellular Concept and System Design Fundamentals

Cellular concept and frequency reuse, Multiple Access Schemes, channel assignment and handoff, Interference and system capacity, Trunking and Erlang capacity calculations.

Unit III Mobile radio Propagation

Radio wave propagation issues in personal wireless systems, Propagation models,

Multipath fading and Base band impulse respond models, parameters of mobile multipath

channels, Antenna systems in mobile radio.

Unit IV Modulation and Signal Processing

Overview analog and digital modulation techniques, Performance of various modulation

techniques-Spectral efficiency, Error-rate, Power Amplification, Equalizing Rake receiver

concepts, Diversity and space-time processing, Speech coding and channel coding.

Unit V System Examples and Design Issues

Multiple Access Techniques-FDMA, TDMA and CDMA systems, operational systems, Wireless

networking, design issues in personal wireless systems

Reference Books

1. K.Feher, Wireless digital communications, PHI, New Delhi, 1999.

2. T.S.Rappaport, Wireless digital communications; Principles and practice, Prentice H

NJ, 1996.

3. W.C.Y.Lee, Mobile communications Engineering: Theory And Applications, Second

Edition, McGraw Hill, New York.1998. 4. Schiller, Mobile Communications; Pearson Education Asia Ltd., 2000.




MCEN5011 Digital Communication System Design L 3

T 0

P 2

C 4

Version No. 1.0

Prerequisite

Course

Description:

This course deals with sampling technique, digital modulation

techniques and various shift keying techniques. The concept of

Spread spectrum is also discussed.

Expected Outcome: At the end of the course, the student will be able to

1. Understand basics of digital communication systems.

2. Design various digital communication modulators and

demodulators. 3. Discuss the concept of spread spectrum techniques.

Unit I Introduction to Digital Communication Systems

Building blocks of Digital Communication System- Source Coders, Channel Coders, Encryption

concepts, Noise Sources and detection of known signals in noise, Probability of error, Channel

decoders, Sources decoders, Correlation receiver, Concept of Matched filter, Overall system

performance analysis.

Unit II Sampling, Quantization and Coding

Sampling in 1-D, 2-D and 3-D, Ideal sampling, Natural Sampling, Flat Sampling system

design techniques. Various Sample and Hold designs, Quantizers- Quantization with error,

Computation of quantization error for linear and non-linear quantizers like A-law and μ-law companders, Effect on Noise Spectrum, Error free quantizers like MAX quantizer.

Unit III Delta Modulation

Delta Modulator (DM), Adaptive Delta Modulators (ADM) Codecs, DPCM - Theoretical and

Practical design of DPCM Codecs, effect of predictors, Computation of quantization error,

Delta Modulator-Demodulators - Design concepts, Adaptive Delta Modulation and its design aspects.

Unit IV Shift Keying Techniques

Concepts of ASK, PSK, FSK, Q-PSK, PSK, QAM, QAM Modems, M-ASK, M-PSK, M-

FSK Modems, Techniques of coherent modulation and demodulation, Design of matched

filters, System design aspects, Intersymbol Interference, Eye Pattern.

Unit V Spread Spectrum Concepts

Spread Spectrum Systems - Concepts of DS and FH systems, Spectral Pictures, Process Gain

and Jamming Margin, Concepts of coders and decoders in each case, suppressed carrier modulation and coherent detection techniques.

Reference Books

1. Simon Haykin, “Digital Communications”, John Wiley & Sons, 2004. th

2. John proakis, “Digital Communications”,4 Edition, McGraw Hill,. 3. Bernard Sklar, “Modern Digital Communication Techniques – Fundamental and

applications”, , Pearson Education, 2009.

4. Marvin K. Simon, Jim K. Omura, Robert A. Scholtz, Barry K. Levitt ,”Spread

spectrum communications Handbook”,McGraw-Hill,2002

5. Ha.H.Nguyen, Ed Shwedyk, “A First Course in Digital Communications”, Cambridge

University Press, 2009.

6. Dennis Silage, “Digital Communication Systems using MATLAB and Simulink”,

Bookstand Publishing, 2009.

7. Marvin K. Simon, Hinedi Sami, Lindsay William C. , “Digital Communication

Techniques: Signal Design and Detection”, PHI.

Mode of

Evaluation:

Written Examinations, Quiz, Assignment, Lab Exam and Viva-voce.



MCEN5012 Digital Communication System Design Lab L 0

T 0

P 2

C 1

Version No. 1.0

Prerequisite

Course

Description:

Course Objectives

This course deals with implementation of various digital modulation

schemes in circuit level and in simulation environment.

Expected Outcome: At the end of the course, students will be able to

1. Implement and verify various Shift keying techniques using

electronic devices and components. 2. Simulate various digital communication schemes using MATLAB.

1. Amplitude Shift Keying [ASK] – Modulation and demodulation

2. Pseudo Random Noise Sequence Generator

3. Phase Shift Keying [PSK]– Modulation and demodulation

4. Frequency Shift Keying [FSK] – Modulation and demodulation

5. Delta Modulation [DM] and demodulation

6. Pulse Code Modulation [PCM] – Modulation and demodulation

7. Differential PCM [DPCM] – Modulation and demodulation

8. Delta Modulation [DM] and demodulation

9. Adaptive Delta Modulation [ADM] and demodulation

10. ASK, FSK, PSK – Modulation and demodulation

Reference Books

1. Simon Haykin, “Digital Communications”, John Wiley & Sons, 2004. th

2. John proakis, “Digital Communications”,4 Edition, McGraw Hill,. 3. Bernard Sklar, “Modern Digital Communication Techniques – Fundamental and

applications”, , Pearson Education, 2009.

4. Marvin K. Simon, Jim K. Omura, Robert A. Scholtz, Barry K. Levitt ,”Spread

spectrum communications Handbook”,McGraw-Hill,2002

5. Ha.H.Nguyen, Ed Shwedyk, “A First Course in Digital Communications”, Cambridge

University Press, 2009.

6. Dennis Silage, “Digital Communication Systems using MATLAB and Simulink”,

Bookstand Publishing, 2009.

8. Marvin K. Simon, Hinedi Sami, Lindsay William C. , “Digital Communication

Techniques: Signal Design and Detection”, PHI.

Mode of Evaluation:

Written Examinations, Quiz, Assignment, Lab Exam and Viva-voce.



MCEN5013 Optical Communication Lab L 0

T 0

P 2

C 1

Version No. 1.0

Prerequisite

Objectives: Course Objectives

This course discusses the practical functioning of Microwave sources, Passive

components, Antennas, Optical Components and Optical Communication

techniques.

Expected

Outcome:

At the end of the course, students will be able to

1. Analyze the characteristics of Microwave passive Components

and antennas.

2. Simulate microwave components and antennas using simulation

tools.

3. Construct and test Optical communication methods.

4. Simulate optical Communication techniques using simulation

tools.

1. Characteristics of Directional Coupler, Isolator and Circulator.

2. Characteristics of „E‟ plane Tee, „H‟ plane Tee and Magic Tee.

3. Characteristics of MIC components.

4. Radiation pattern measurement of Dipole, Horn and Micro strip patch Antennas.

5. Characteristics of Equal and Unequal Wilkinson power divider.

6. Characteristics of Branch line coupler and 1800 hybrid coupler.

7. Design of LPF – Richard‟s and stepped impedance methods.

8. Design of Microwave Amplifier.

9. Studies of Analog and digital optical links.

10. Characteristics of Optical detector [APD].

11. Simulation of Erbium doped fiber amplifier.

12. Characteristics of WDM.

Reference Books

1. S.Y. Liao, Microwave Circuit Analysis and Amplifier Design, Prentice Hall.

2. G.D. Vendelin, A.M. Pavio, U.L. Rohde, Microwave Circuit Design, Using Linear and

Non-linear Techniques, John Wiley.

3. Y. Konishi, Microwave Integrated Circuits, Marcel Dekker. 4. G. Keiser, “Optical Fiber Communication”, McGraw Hill.

5. J.M. Senior,”Optical Fiber Communications”, Principles & Practice , PHI.

6. Ivan P.Kaminov, Thomas L. Koch, “ Optical Fiber Telecommunications IIIA”,

Academic Press, 1997.




MCEN6001

Advanced Digital Image Processing

L

3

T

0

P

0

C

3

Version No. 1.0

Prerequisite

Objectives: This course examines the fundamentals of detection and estimation for signal

processing. It will help the students to implement new algorithms for signal

processing applications in frequency, time and mixed domains.

Expected

Outcome:

On completion of this course, the students will be able to

1. Learn Multirate signal processing.

2. Design digital filters. 3. Know signal processing application in frequency and time domain.

Unit I Introduction to Modern Digital Signal Processing

Introduction to Modern Digital Signal Processing: Signals, systems and signal processing (continuous

& discrete an overview), time domain and frequency domain analysis of signals. Sampling and

reconstruction of signals, Concepts of Two dimensional, Multi-rate and adaptive signal processing.

Unit II Design Of Filters

Design of digital filters, moving average filters, adaptive filters and Filter banks.

Unit III Fast Fourier Transform

Discrete and fast Fourier transform algorithms, Power spectrum estimation

Unit IV Introduction to Digital signal Processors

Introduction to Digital signal Processors: Fixed and Floating Point Processors, Complex numbers –

fixed and floating point representation. Applications: Applications of Digital Signal Processing to

Speech & Audio coding and processing

Unit V Design and implementation example

An IIR and FIR audio filters - Modelling in MATLAB - Analog measurement on DSP Systems,

Fixed and floating Point Realization impacts.

Reference Books

1. Steven W. Smith, “ Digital Signal Processing: A Practical Guide for Engineers and Scientists”,

Elsevier, 2003.

2. John G. Proakis, “Digital Signal Processing Principles, Algorithms and Applications” , 4th

edition , PHI 2007.

3. Lawrence R. Rabiner, Bernard Gold, “Theory and Application of Digital Signal Processing”,

PHI 2001.

4. Roberto Cristi “Modern Digital Signal Processing”, Thomson Brooks/Cole, 2004.




MCEN6002 Mobile Computing L T P C

Version No. 1.0 3 0 0 3

Prerequisite Computer Networks

co-requisites

COURSE OUTCOMES

At the end of the Course, the student will be able to

CO1:Apply the knowledge of wireless and mobile communications systems.

CO2:Examine the MAC issues and demonstrate wireless networking principles, for various

applications.

CO3:Describe GSM architecture, operation and services offered by GSM networks.

CO4:Understand GPRS architecture, operation and services offered by GPRS networks.

CO5:Analyze the performance of various routing protocols and security issues associated with

mobile computing.

Course Content

Unit I: Introduction 8 lecture hours

Introduction of mobile computing, overview of wireless telephony: cellular concept, location

management: HLR-VLR, hierarchical, handoffs, channel allocation in cellular systems, Multiple

access techniques like Frequency division multiple access (FDMA), Time division multiple access

(TDMA), Code division multiple access (CDMA), Space division multiple access (SDMA).

Unit II: Wireless Networking 8 lecture hours

Wireless Networking, Wireless LAN Overview: MAC issues, IEEE 802.11, Blue Tooth, Wireless multiple access protocols, TCP over wireless, Wireless applications, data broadcasting, Mobile IP, WAP: Architecture, protocol stack, application environment, applications.

Unit III: Global System for Mobile Communications 8 lecture hours

GSM Architecture, GSM Entities ,Call Routing in GSM, GSM Addresses and Identifiers, Network

Aspects in GSM , GSM Frequency Allocation, Authentication and Security, Mobile Computing

over SMS, Short Message (SMS) , Value Added Services through, MS, Accessing the SMS Bearer,

GPRS and packet Architecture GPRS Network Architecture, GPRS Network Operations, Data

Services in GPRS ,Application for GPRS, Limitation of GPRS, Billing and Charging in GPRS,

WAP , MMS , GPRS Applications, Spread – Spectrum Technology.

Unit IV: Data Management 8 lecture hours

Data management issues, data replication for mobile computers, adaptive clustering for mobile

wireless networks, file system, disconnected operations. Mobile Agents computing, security and

fault tolerance, transaction processing in mobile computing environment.

Unit V: Routing Adhoc Network & Security Issues 8 lecture hours

Routing Protocols: Adhoc Network Routing Protocols, Destination Sequenced Distance Vector

Algorithm, Cluster Based Gateway Switch Routing, Dynamic Source Routing, Adhoc on- demand

Routing, Location Aided Routing, Zonal Routing Algorithm.Mobile Computing Security Issues,

Authentication, Encryption, Cryptographic Tools: Hash, Message Authentication Code (MAC),

Digital Signature, Certificate. Secure Socket Layer (SSL). Characteristics of SIM, Equipment

Identification.

Mode of Evaluation: Tutorials / Class Tests / Lab Exam

Theory

Components Internal SEE

Marks 50 50

Total Marks 100

MCEN6003 Network Routing Algorithm L

3

T

0

P

0

C

3

Version No. 1.0

Prerequisite

Objectives: This course describes on Internet routing, Routing in optical WDM networks,

Mobile IP networks and Mobile Ad Hoc networks.

Expected

Outcome:


1. Understand basic concept of routing.

2. Know routing in Internet, Optical networks. 3. Know routing in Mobile IP and Mobile Ad Hoc Networks.

Unit I Introduction

ISO OSI Layer Architecture, TCP/IP Layer Architecture, Functions of Network layer,

General Classification of routing, Routing in telephone networks, Dynamic Non

hierarchical Routing (DNHR), Trunk status map routing (TSMR), real-time network routing

(RTNR), Distance vector routing, Link state routing, Hierarchical routing.

Unit II Internet Routing

Interior protocol : Routing Information Protocol (RIP), Open Shortest Path First (OSPF),

Bellman Ford Distance Vector Routing. Exterior Routing Protocols: Exterior Gateway

Protocol (EGP) and Border Gateway Protocol (BGP). Multicast Routing: Pros and cons

of Multicast and Multiple Unicast Routing, Distance Vector Multicast Routing Protocol

(DVMRP), Multicast Open Shortest Path First (MOSPF), MBONE, Core Based Tree Routing.

Unit III Routing in Optical WDM Networks

Classification of RWA algorithms, RWA algorithms, Fairness and Admission Control,

Distributed Control Protocols, Permanent Routing and Wavelength Requirements,

Wavelength Rerouting- Benefits and Issues, Lightpath Migration, Rerouting Schemes, Algorithms-

AG, MWPG.

Unit IV Mobile IP Networks

Macro-mobility Protocols, Micro-mobility protocol: Tunnel based : Hierarchical Mobile

IP, Intra domain Mobility Management, Routing based: Cellular IP, Handoff Wireless Access

Internet Infrastructure (HAWAII).

Unit V Mobile Ad Hoc Networks

Internet-based mobile ad-hoc networking communication strategies, Routing algorithms

– Proactive routing: destination sequenced Distance Vector Routing (DSDV), Reactive

routing: Dynamic Source Routing (DSR), Ad hoc On-Demand Distance Vector Routing

(AODV), Hybrid Routing: Zone Based Routing (ZRP).

Reference Books

1. William Stallings, „ High speed networks and Internets Performance and Quality of

Service‟, IInd Edition, Pearson Education Asia. Reprint India 2002

2. M. Steen Strub, „ Routing in Communication network, Prentice –Hall International,

Newyork,1995.

3. S. Keshav, „An engineering approach to computer networking‟ Addison Wesley 1999.

4. William Stallings, „High speed Networks TCP/IP and ATM Design Principles,

Prentice- Hall, New York, 1995

5. C.E Perkins, „Ad Hoc Networking‟, Addison – Wesley, 2001

6. Ian F. Akyildiz, Jiang Xie and Shantidev Mohanty, “ A Survey of mobility

Management in Next generation All IP- Based Wireless Systems”, IEEE Wireless

Communications Aug.2004, pp 16-27.

7. A.T Campbell et al., “ Comparison of IP Micromobility Protocols,” IEEE Wireless

Communications Feb.2002, pp 72-82.

8. C.Siva Rama Murthy and Mohan Gurusamy, “ WDM Optical Networks – Concepts,

Design and Algorithms”, Prentice Hall of India Pvt. Ltd, New Delhi –2002.




MCEN6004

Soft Computing

L

3

T

0

P

0

C

3

Version No. 1.0

Prerequisite

Objectives: This course introduces neural networks and fuzzy systems. This course also

discusses on genetic algorithm and artificial intelligence.

Expected

Outcome:


1. Understand basics of artificial neural networks and fuzzy systems.

2. Know steps in genetic algorithm 3. Know the concept of artificial intelligence.

Unit I Artificial Neural Networks

Basic-concepts-single layer perception-Multi layer perception-Supervised and un

supervised learning, Back propagation networks, Application

Unit II Fuzzy Systems

Fuzzy sets and Fuzzy reasoning- Fuzzy matrices-Fuzzy functions-decomposition-

Fuzzy automata and languages- Fuzzy control methods-Fuzzy decision making, Applications

Unit III Neuro-Fuzzy Modeling

Adaptive networks based Fuzzy interfaces-Classification and Representation trees-Data

dustemp algorithm –Rule based structure identification-Neuro-Fuzzy controls

Unit IV Genetic Algorithm

Survival of the fittest-Fitness computations-crossover- mutation-reproduction-rank

method-rank space method, Applications

Unit V Artificial Intelligence [AI]

AI Search algorithm-Predicate calculus - rules of interface - Semantic networks-framesobjects-

Hybrid models applications

Reference Books

1. Jang J.S.R.,Sun C.T and Mizutami E - Neuro Fuzzy and Soft computing Prentice hall

New Jersey,1998

2. Timothy J.Ross:Fuzzy Logic Engineering Applications. McGraw Hill,NewYork,1997.

3. Laurene Fauseett: Fundamentals of Neural Networks. Prentice Hall India, New

Delhi,1994.

4. George J.Klir and Bo Yuan, Fuzzy Sets and Fuzzy Logic, Prentice Hall Inc., New

Jersey,1995

5. Nih.J. Ndssen Artificial Intelligence, Harcourt Asia Ltd.,Singapore,1998.




Name of The Course Capstone Design-I

Course Code ECE619

Prerequisite

Corequisite

Antirequisite

L T P C

0 0 10 2

Course Objectives:

• Apply the knowledge of mathematics, science, engineering fundamentals,

and an engineering specialization to the solution of complex engineering

problems.

• Work in team to formulate solution for Electrical System using hardware or

software tools.

• Analyze & research about the work to be implemented with resources

available from internet & other sources.

• Work collaboratively to plan and execute project work or research to

advance the scientific basis, technologies or practices within the Electrical

Engineering discipline.

Course Outcomes

CO1 Develop creative solutions to problems and conceive innovative approaches in

developing and designing of electrical system.

CO2 Prepare high quality engineering documents and present a clear and coherent

presentation of these to a range of technical and nontechnical audiences.

CO3 Acquire and evaluate research regarding new knowledge development within the

electronic engineering discipline and its social, cultural, environmental and legal

context.

CO4 Demonstrate a responsible, ethical and professional attitude regarding the role of

engineers in society, including situations involving potentially adverse environmental

and cultural impacts.

CO5 Work collaboratively to plan and execute project work or research to advance the

scientific basis, technologies or practices within the Electrical Engineering discipline.

Name of The Course Capstone Design -II

Course Code ECE629

Prerequisite

Corequisite

Antirequisite

L T P C

0 0 10 2

Course Objectives:

• Apply the knowledge of mathematics, science, engineering fundamentals,

and an engineering specialization to the solution of complex engineering

problems.

• Work in team to formulate solution for Electrical System using hardware or

software tools.

• Analyze & research about the work to be implemented with resources

available from internet & other sources.

• Work collaboratively to plan and execute project work or research to

advance the scientific basis, technologies or practices within the Electrical

Engineering discipline.

Course Outcomes

CO1 Develop creative solutions to problems and conceive innovative approaches in

developing and designing of electrical system.

CO2 Prepare high quality engineering documents and present a clear and coherent

presentation of these to a range of technical and nontechnical audiences.

CO3 Acquire and evaluate research regarding new knowledge development within the

electronic engineering discipline and its social, cultural, environmental and legal

context.

CO4 Demonstrate a responsible, ethical and professional attitude regarding the role of

engineers in society, including situations involving potentially adverse environmental

and cultural impacts.

CO5 Work collaboratively to plan and execute project work or research to advance the

scientific basis, technologies or practices within the Electrical Engineering discipline.

Communication Engineering (M Tech)

Documents

Transcript of Communication Engineering (M Tech)