OFFERED
M. Tech Curriculum
MTECH – WIRELESS NETWORKS AND APPLICATIONS
Amrita Centre for Wireless Networks and Applications
This MTech programme is intended to generate trained academic and research personnel in the highly demanding, useful and emerging area of wireless networks. The programme includes core subjects from Wireless Communications, Computer Science, Computer networks, advanced topics in wireless communications, mobile computing, sensor networks, embedded systems, signal processing, multimedia systems and applications such as landslide detection, environmental monitoring, etc. Building on a very successful joint project called WINSOC with about a dozen international partners, this new MTech program was introduced with a view to strengthen the academic and research activities in this highly advanced topics: Wireless Networks and Applications.
Students, when they graduate, will be well trained to enter into a broad spectrum of industries such as computers, communication networks, earth sciences, environmental sciences, disaster management, health care, egovernance activities, bio and nanotechnologies, VLSI and embedded systems, agriculture and chemical industries and strategic planning.
CURRICULUM
First Semester
Course Code  Type  Course  L  T  P  Cr 
WN601  FC  Basics of Digital Signal Processing  2  0  1  3 
WN602  FC  Probability & Statistical Inference  2  0  1  3 
WN603  FC  Advanced Computer Networks  3  0  1  4 
WN621  SC  Fundamentals of Wireless Communications  3  0  1  4 
WN622  SC  Embedded System Design  3  0  1  4 
WN605  FC  Advanced Computer Programming  0  0  1  1 
HU601  HU  Cultural Education  0  0  0  0 
WN794  P  LiveinLabsI  0  0  0  0 
Credits  19 
Second Semester
Course Code  Type  Course  L  T  P  Cr 
WN604  FC  Design and Analysis of Algorithms  3  0  1  4 
WN623  SC  Wireless Sensor Networks  3  0  1  4 
E  Elective I  3  0  0  3  
E  Elective II  2  0  1  3  
WN624  SC  Mobile Communication Networks  2  0  1  3 
WN625  SC  Research Learning and Problem Formulation  0  0  1  1 
EN600  SC  Technical Report Writing  0  0  0  0 
WN795  P  LiveinLabsII  0  0  0  0 
Credits  18 
Third Semester
Course Code  Type  Course  L  T  P  Cr 
WN606  FC  Object Oriented Programming  0  0  1  1 
E  Elective III  2  0  1  3  
E  Elective IV  2  0  1  3  
WN799  P  Dissertation I  6  
WN796  P  LiveinLabsIII  0  0  0  0 
Credits  13 
Fourth Semester
Course Code  Type  Course  L  T  P  Cr 
WN799  P  Dissertation Final  16  
WN797  P  LiveinLabsIV  0  0  1  1 
Credits  17  
Total Credits  67 
List of Courses
Foundation Core
Course Code  Type  Course  L  T  P  Cr 
WN601  FC  Basics of Digital Signal Processing  2  0  1  3 
WN602  FC  Probability & Statistical Inference  2  0  1  3 
WN603  FC  Advanced Computer Networks  3  0  1  4 
WN604  FC  Design and Analysis of Algorithms  3  0  1  4 
WN605  FC  Advanced Computer Programming  0  0  1  1 
WN606  FC  Object Oriented Programming  0  0  1  1 
Subject Core
Course Code  Type  Course  L  T  P  Cr 
WN621  SC  Fundamentals of Wireless Communications  3  0  1  4 
WN622  SC  Embedded System Design  3  0  1  4 
WN623  SC  Wireless Sensor Networks  3  0  1  4 
WN624  SC  Mobile Communication Networks  2  0  1  3 
WN625  SC  Research Learning and Problem Formulation  0  0  1  1 
EN600  SC  Technical Report Writing  0  0  0  0 
Electives
Course Code  Type  Course  L  T  P  Cr 
Elective I  
WN701  E  Advanced Signal Processing  3  0  0  3 
WN702  E  Distributed Systems  3  0  0  3 
WN703  E  Wireless Local Area Networks  2  0  1  3 
WN704  E  Advanced Embedded Systems  2  0  1  3 
WN705  E  Mobile Computing and Networking  2  0  1  3 
Elective II  
WN706  E  Smart Sensor Technology  2  0  1  3 
WN707  E  Machine Learning  2  0  1  3 
WN708  E  Coding and Information Theory  3  0  0  3 
WN709  E  Wireless Multimedia Networks  2  0  1  3 
WN710  E  Antenna Engineering: Theory & Design  2  0  1  3 
WN711  E  Distributed Network Algorithms  2  0  1  3 
Elective III  
WN712  E  Security in Wireless Networks  2  0  1  3 
WN713  E  4G Mobile Broadband and Small Cell Networks  2  0  1  3 
WN714  E  Advanced Wireless Communication Technologies  2  0  1  3 
WN715  E  Big Data & Applications  3  0  0  3 
WN716  E  Adaptive Signal Processing  2  0  1  3 
WN717  E  Cloud Computing and Internet of Things  2  0  1  3 
Elective IV  
WN718  E  Random Processes and Queuing Models  3  0  0  3 
WN719  E  Linear Algebra and its Applications  2  0  1  3 
WN720  E  Detection and Estimation Theory  2  0  1  3 
WN721  E  Computational Optimization  2  0  1  3 
WN722  E  Graph Theory and its Applications in Wireless Networks  2  0  1  3 
Project Work
Course Code  Type  Course  L  T  P  Cr 
WN799  P  Dissertation I  6  
WN799  P  Dissertation Final  16  
WN794  P  LiveinLabsI  0  
WN795  P  LiveinLabsII  0  
WN796  P  LiveinLabsIII  0  
WN797  P  LiveinLabsIV  1 
Specialization
Course Code  Type  Course  L  T  P  Cr 
Specialization I: Wireless Communications  
WN701  E  Advanced Signal Processing  3  0  0  3 
WN708  E  Coding and Information Theory  3  0  0  3 
WN710  E  Antenna Engineering: Theory & Design  2  0  1  3 
WN713  E  4G Mobile Broadband and Small Cell Networks  2  0  1  3 
WN714  E  Advanced Wireless Communication Technologies  2  0  1  3 
WN716  E  Adaptive Signal Processing  2  0  1  3 
WN719  E  Linear Algebra and its Applications  2  0  1  3 
WN720  E  Detection and Estimation Theory  2  0  1  3 
WN721  E  Computational Optimization  2  0  1  3 
Specialization II: Mobile Networks  
WN702  E  Distributed Systems  3  0  0  3 
WN708  E  Coding and Information Theory  3  0  0  3 
WN710  E  Antenna Engineering: Theory & Design  2  0  1  3 
WN711  E  Distributed Network Algorithms  2  0  1  3 
WN712  E  Security in Wireless Networks  2  0  1  3 
WN713  E  4G Mobile Broadband and Small Cell Networks  2  0  1  3 
WN717  E  Cloud Computing and Internet of Things  2  0  1  3 
WN718  E  Random Processes and Queuing Models  3  0  0  3 
WN721  E  Computational Optimization  2  0  1  3 
WN722  E  Graph Theory and its Applications in Wireless Networks  2  0  1  3 
Specialization III: Wireless Systems and Application  
WN702  E  Distributed Systems  3  0  0  3 
WN703  E  Wireless Local Area Networks  2  0  1  3 
WN704  E  Advanced Embedded Systems  2  0  1  3 
WN705  E  Mobile Computing and Networking  2  0  1  3 
WN706  E  Smart Sensor Technology  2  0  1  3 
WN707  E  Machine Learning  2  0  1  3 
WN709  E  Wireless Multimedia Networks  2  0  1  3 
WN711  E  Distributed Network Algorithms  2  0  1  3 
WN712  E  Security in Wireless Networks  2  0  1  3 
WN715  E  Big Data & Applications  3  0  0  3 
WN718  E  Random Processes and Queuing Models  3  0  0  3 
WN720  E  Computational Optimization  2  0  1  3 
WN722  E  Graph Theory and its Applications in Wireless Networks  2  0  1  3 
WN601  Basics Of Digital Signal Processing  2013 
Sampling and Reconstruction : Sampling Theorem, Antialiasing Pre?lters, Sampling of Sinusoids, Analog Reconstruction and Aliasing, Spectra of Sampled Signals, DiscreteTime Fourier Transform, Spectrum Replication, Practical Antialiasing Pre?lters —Basic Components of DSP Systems: Quantization , Quantization Process, Oversampling and Noise Shaping, D/A Converters, A/D Converters, Analog and Digital Dither— DiscreteTime Systems: Input/Output Rules, Linearity and Time Invariance, Impulse Response, FIR and IIR Filters, Causality and Stability — FIR Filtering and Convolution: Block Processing Methods Sample Processing Methods, FIR Filtering in Direct Form— zTransforms: Region of Convergence, Causality and Stability, Frequency Spectrum, Inverse zTransforms—Transfer Functions : Sinusoidal Response, SteadyState Response, Transient Response, Pole/Zero Designs, FirstOrder Filters, Parametric Resonators and Equalizers, Notch and Comb Filters, Deconvolution, Inverse Filters, and Stability — Signal Processing ApplicationsDFT/FFT Algorithms—Design of FIR filters —Using windows — Frequency sampling — Linear phase FIR filters. IIR Filters: Structure for IIR — State Space Analysis —Impulse invariance — Bilinear transformation Weiner filters. Lab: Implementation using MATLAB. 

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WN602  Probability And Statistical Inference  2013 
Introduction to Probability, conditional Probability, Bayes’ theorem; Random variables, Analysis of discrete and continuous random variables, Probability distributions, distribution functions, mean and variance of random variables , standard discrete and continuous distributions and their properties; Analysis of Joint Probability Distributions of discrete and continuous random variables, Two or more random variables , joint, marginal and conditional probability distributions, independence of random variables, Covariance and correlation, Linear functions of random variables, several functions of random variables; Point estimation of Parameters and Sampling distributions: Central limit theorem, General concepts of point estimation, Methods of point estimation, method of moments, method of maximum likelihood, Bayesian estimation of parameters, Interval estimation, Confidence interval for the mean and variance of a normal population, large sample confidence interval for population proportions; Hypothesis Testing, general concepts, tests on mean and variance of one and two normal populations, tests on population proportion, testing for goodness of fit and independence; Introduction to nonparametric statistics, sign test, Wilcoxon signed rank test, Wilcoxon rank sum test. 

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WN603  Advanced Computer Networks  3014 
Communication model, Data Communication, Synchronous and asynchronous communication, Network protocols and standards, Network devices, Network servers, OSI model — TCP/IP protocol Suit — Comparison of OSI and TCP/IP. Data transmission: analog and digital transmission, Multiplexing, Physical and logical topologies — Transmission media. Data link layer Frames and Error detection, Introduction to Wireless Networks — Wireless LAN technology, StandardsInfrared LANs, Spread Spectrum — DSSS, FHSS, Narrow band, Network layer — Internet Addresses, ARP, RARP, IP, Routing algorithm — Interior and Exterior routing. ICMP, Classless and Subnet Address Extensions (CIDR), Internet Multicasting, NAT, VPN — Addressing and Routing, Transport layer services and principles — Principles of congestion control. TCP Client/ Server Model of Interaction and examples. Application layer protocols — World Wide Web: HTTP — File transfer: FTP — Electronic Mail — DNS — SNMP. Software Defined Network  Comparison between SDN and traditional networks  SDN controller, Switch design, SDN ControllerSwitch Protocols, OpenFlow Protocol, OpenFlow for Wireless Mesh Networks, Control Overhead & Handoff algorithms. Network Function Virtualization  NFV Architecture, Use cases, NFV Orchestration, Resource Management, Analytics, Service Chaining, Distributed NFV, NFV for 5G. Lab: Implementation of algorithms from the WN604 Advanced Computer Networks course, Socket Programming using C. Network packet tracing using packet level tracer. Network traffic analysis and hands on experimentation on switches and routers. Socket Introductionaddress structuresValueResult Arguments, Byte Ordering function, Byte manipulation functions. Elementary TCP sockets. Mathematical modeling and research analysis. 

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WN604  Design And Analysis Of Algorithms  3014 
Algorithm Analysis: Methodologies for Analyzing Algorithms, Asymptotic Notation, Recurrence Relations. Data Structures: Linear Data Structures (Stacks, Queues, LinkedLists, Vectors), Trees (Binary Search Trees, AVL trees, RedBlack trees, Btrees), HashTables (Dictionaries, Associative Arrays, Database Indexing, Caches, Sets) and UnionFind Structures. Searching and Sorting(Insertion and Selection Sort, Quick sort, Merge sort, Heap sort, Bucket Sort and Radix Sort), Comparison of sorting algorithms and lower bounds on sorting. Fundamental Techniques: The Greedy Method, Divide and Conquer, Dynamic Programming. Graph Algorithms: Elementary Algorithms, i.e., Breadthfirst search, Depthfirst search, Topological sort, Strongly connected components. Minimum Spanning Trees, SingleSource Shortest Paths, AllPairs Shortest Paths, Maximum Flow, Network Flow and Matching, Flows and Cuts. Nondeterministic Polynomial Time Problems: P and NP, NPComplete, NPHard, Important NPComplete/Hard Problems. Significant labs: Implementation of algorithms using a structured or objectoriented programming language. 

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WN605  Advanced Computer Programming  3014 
Programming in C, Basic Computer Organization and Architecture, Build and Compilation process, Debugging con…llllll////cepts, Data Types and Variables, Input/ Output implementation and usage, Control flow, Modular Programming with functions, Stack Frames and Activation Records, Arrays, Pointers, Strings, Structures, Implementation of Structures, Memory, Stacks, Recursion, Dynamic Memory Allocation, Heap, Program Runtime Analysis, BigOh Notation. Significant labs, e.g., Spell Checker with a real dictionary, complicated data structure such as a Vector/Set, Customer Relationship Management system, custom string Abstract Data Type, Maze, etc. 

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WN606  Object Oriented Programming  0011 
Java Atomic Data Types and Operators, Reference types, Date and time types, Enumerations, Selection statements (If else, switch), Iterations(while, for), Working with Arrays, Objects and Classes, Access modifiers and methods, Constructors, Inheritance and Polymorphism, Interfaces, Anonymous interfaces, Java Generics, Generic Collections (Lists, Sets, Maps), Exceptions, Java IO library (java.nio), Functional programming with Java 8 lambdas, Java 8 Streams, Multithreading in Java, Design patterns in Java (Singleton, Factory, Builder), UML Diagrams (Object, Activity, DataFlow), Agile methodologies, Test driven development, Unit testing in Java with JUnit and Netbeans. 

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WN621  Fundamentals Of Wireless Communications  3014 
Overview of Wireless Communications: Introduction to Wireless Communication Systems; Evolution of Modern Wireless Communication Systems; Overview of Modern Wireless Communication Systems. Transmission Fundamentals: Signals, Types and Properties of Signals, Frequency bands and its properties, Noise and Interference. Modulation: AM Techniques, DM Techniques: An Overview, Linear and constant envelope Modulation Techniques and its combination, Spread Spectrum Modulation Techniques: DSSS and FHSS. Antennas: Introduction to Antennas, Integration of antennas into systems, characteristic antenna quantities, Types of antennas: Antennas for mobile station, Antennas for base station. Introduction to Radio Wave Propagation, Types of propagation modes; Free Space Propagation Model, Propagation Mechanisms: Reflection, Diffraction, Scattering; Path Loss Models: Outdoor and Indoor Propagation Models, Signal Penetration into Buildings, Ray Tracing and Site Specific Modeling; Physical Modeling for Wireless Channels: SmallScale Fading and Multipath Propagation, Input /output model of the wireless channel: The wireless channel as a linear timevarying system, Baseband equivalent model, A discretetime baseband model, Additive white noise, Time and frequency coherence: Doppler spread and coherence time, Delay spread and coherence bandwidth, Statistical channel models: Modeling philosophy, Rayleigh and Rician fading; Capacity of Wireless Channel: AWGN channel capacity, Resources of AWGN channel, Linear timeinvariant Gaussian channels, Capacity of fading channels, Multiplexing: FDM, OFDM, TDM. Cellular Networks: Basic Concepts, Multiple Access Techniques: FDMA, TDMA, CDMA, OFDMA and SDMA; Wireless Link Improvement: Introduction to types of codes, Equalization Techniques, Diversity methods. Research Paper Discussion and Presentation. Wireless Communication Laboratory: Conduct experiments using Labview, C and Matlab. 

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WN622  Embedded System Design  3014 
Microcontroller fundamentals: ARM ASM programming and basic of C; IO Interfacing: LED and Switch; Design and Development Process: Architecture, Microarchitecture, Design, Implementation, Verification and Validation; Development Tools: Block Diagrams, Flow Charts, Call Graphs, Dataflow Graphs, Finite State Machines; The Parallel Interface: GPIO; The Serial Interface: UART; PLL programming; Timer: SysTick; Fixed Point; Software: Structs, Stacks and Recursion; Device Driver: Interfacing with an Hitachi HD44780 display; IO Synchronization; Interrupts; DAC: Music Synthesis and Music Playback; ADC: Real world interfacing and Data Acquisition. Significant labs include prototypes of actual embedded systems, e.g., Traffic Light Controller (FSM), LCD Device Driver (Hitachi HD44780), Digital Piano (DAC, Interrupts), Digital Vernier Caliper (ADC, Interrupts, LCD), Distributed Data Acquisition (Interrupts, ADC, LCD, UART). Capstone Design Project, A popular video game, e.g., Space Invaders, Connect4, Pipe Dream, etc. 

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WN623  Wireless Sensor Networks  3014 
Overview of WSN: Introduction, Applications, Unique Constraints and challenges. Platforms for WSN: Sensor Node Hardwares (Introduction): Mica2, MicaZ, TelosB, Cricket, iMote2, TMote, BTnode, Wasp mote, Comparisons of these based on the specifications. Sensor Node Softwares (Introduction): TinyOS, MANTIS, Contiki and RetOS, Programming Tools: C, nesC. Tiny DB. General Architecture of a WSN: Von Neumann, Harvard Architecture, Super Harvard Architectures, Sensing Unit: ADC, Sampling, Quantization, Sensor Characteristics, Transducers, Impedance Matching. Processing Unit: Microcontrollers, DSP, ASIC, FPGA, General Constraints and Pros and Cons. Communication Unit: SPI, I2C. Power Management Unit. Networking in WSN: Hierarchical, Nonhierarchical, Clustering, Mutli hop, Single hop, Multiple Sinks and Sources. Coverage and Connectivity. SelfOrganization, Selfconfiguration. MAC Protocols Introduction, Low Duty cycle Protocols: SMAC, Contention Based Protocols: CSMA, PAMAS, Scheduling based Protocols: Leach, SMACS, TRAMA. Optimization in WSN: Power, Delay, QOS, Data Aggregation; Time synchronization: Types, RBS, LTS, HRTS; Routing: Proactive routing: DSDV, Optimized Link State Routing, DSR and Reactive routing: Flooding, Gossiping, Hierarchical Routing, Location based routing – Unicast, Multicast; Localization and Positioning: Overview, TOA, TDOA, AOA, RSSI, Range based Localization: Triangulation, Trilateration Iterative and collaborative Multilateration, GPS based localization; Range free localization: APS, Event Driven Localization: Light House approach, Multi Sequence Positioning; Wireless Sensor Network for Specific Application. Research Paper Discussion and Presentation. Laboratory: includes the OSs /platforms/Simulators detailed below.


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WN624  Mobile Communication Networks  2013 
Overview of the legacy second generation (2G) and third generation 3G networks including key developments in spectrum aspects. Review of the stake holders including Service Providers (SPs), product manufactures and regulatory bodies and interplay and context for MCN. Architecture of 4G networks from 3GPP and introduction to the physical layer and resource management. Key elements underpinning the network architecture including access stratum and nonaccess stratum, end to end security principles, network and UE procedures. Network design framework for call setup/release, mobility management in idle mode and active mode (handover) and the dependency on the user experience. Introduction to network operations, management and support (BSS/OSS) including relevant use cases in diagnostics, life cycle of trouble shooting. Role of network planning and performance management and deployment of the networks for Quality of Support (QoS) and Quality of Experience (QoE). Network evolution towards Evolved Packet Core (EPC), Mobile Edge Computing (MEC) focus on architecture changes plus impact assessment. Overview of air interface upgrades, scalable air interface, Self Organising Networks (SON) and Heterogeneous Networks (HetNets). Wifi technology evolution to upcoming concepts pertaining to LTE in WiFi and introduction to candidate proposals in 5G [5]. 

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WN625  Research Learning And Problem Formulation  0011 
Critical analysis of top rated research papers including at least one survey paper and one or two good journal paper in the broad areas such as Wireless Communication, Wireless Networks, Wireless Sensor Networks, Context Aware Systems, Participatory Sensing, Embedded Systems etc. Formulation and presentation of research proposals on selected topics. 
WN701  Advanced Signal Processing  3003 
DiscreteTime Bases and Filter Banks, ContinuousTime Bases and Wavelets, Over complete Expansions and Continuous Transforms, Sparse representation, Linear and nonlinear approximation in various bases, Nonlinear signal estimation, Multidimensional filter banks and wavelets, Multifractal analysis using Wavelets, Multiscale geometric representation and processing, Compressed sensing, Multidimensional Transforms, Syntheticaperture radar (SAR) Technology. 

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WN702  Distributed Systems  3003 
Introduction: Goals, Types: Distributed Computing Systems, Distributed Information Systems, Distributed Pervasive Systems. Architecture: Centralized, Decentralized, Hybrid, Architecture Vs Middleware, SelfManagement. Processes: Threads, Virtualization, Clients, Servers, Code Migration. Communication: Fundamentals, Remote Procedure Call, Message Oriented Communication, Stream Oriented Communication, Multicast Communication, Naming: Flat, Structured, Attribute based; Synchronization: Clock, Logical, Mutual Exclusion, Global Positioning, Election Algorithms, Consistency and Replication: Introduction, Data Centric, Client Centric models, Replica Management, Consistency Protocols; Fault Tolerance: Introduction, Process Resilience, Reliable Client Server Communication, Reliable group Communication, Distributed Commit, Recovery. Security: Secure Channels, Access Control, Security Management, Distributed Object based systems, Distributed File Systems, Distributed Web based Systems. 

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WN703  Wireless Local Area Networks  2013 
Introduction to WLAN terminology and overview of WLAN : Wireless Challenges, IEEE Standards, IEEE 802 family, 802.11 LANs, AP, BSS, IBSS, ESS, DS,SSID, BSSID, Mobility, Security, 802.11 MAC: CSMA/CA, Hidden & Exposed Node Problems, MAC Access Modes, NAV, Interframe Spacing, Fragmentation, MAC Frames  802.11 MAC frame, Data Frames, Control Frames, Management Frames, RTS/CTS, Structure of Management Frames, Management Frame Components, Management Operations  Management Architecture, Scanning, Authentication, Preauthentication, Association, Power Conservation, Timer Synchronization, Spectrum Management, Hardware Overview: Network Interface card, Access point hardware, chipsets, 802.11 a/b/g PHY  PhysicalLayer, Architecture, The Radio Link, FHSS, DSSS, OFDM, QAM, ERP; 802.11n : MIMO, Beam Forming, Channel Bonding, Block ACK, 802.11e QoS / WMM, 802.11s Mesh network, 802.11ac, 802.11ad, Performance Analysis, Mathematical Modeling and Analysis. Cryptography – Concepts : PRF/PRP, Stream / Block Cyphers, RC4, 3DES, AES, Hashing, Asymmetric key pairs, Certificates, WLAN Security : WEP, TKIP, AESCCMP, RADIUS, TLS, TLS over EAP, Kerberos, LEAP, PEAP, EAPSIM, Network & Security Architecture, Network Planning & Analysis. Advanced Topics: Long Range WiFi, LiFi, Passive WiFi, 802.11ah (HaLow), 802.11af (WhiteFi), 802.11ax, 802.11ay Lab: WLAN Lab based on the above topics will be conducted using Wireless routers, APs, WiFi enabled smart phones, tablets and laptops and Long Range WiFi base stations and CPEs as well as using QualNet simulation platform. 

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WN704  Advanced Embedded Systems  2013 
Review of Computer Architecture, Logic Design, Electrical and Electronic Circuits, System Design Process, Software Design Principles and Debugging Theory; ARM CortexM processor, Programming in Assembly Language and C. OS Principles: Threads, FIFO, Memory Management; Hardware Software Synchronization, Timing, Interrupts; Timer, PLL, PWM, Period and Frequency Measurement. Serial Interfacing: RS232, USB, SSI, I2C. Analog Interfacing: Op Amps, Filters, DAC and ADC. Data Acquisition: Discrete Calculus, Noise Analysis, Transducers: Wired and wireless communication systems, System Level Design: Design for Manufacturability, Power, Tolerance, Testability, Performance and Cost, PCB Design. 

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WN705  Mobile Computing & Networking  2013 
Short range networks: Introduction, Fundamentals of short range wireless; Bluetooth – Introduction to Bluetooth, Bluetooth Technology, Bluetooth Topology, Bluetooth Networking, Connection Establishment, Bluetooth 3.0, RFID Technology, NFC  Evolution of NFC, NFC as a New Technology, NFC Essentials, Smart NFC Devices, General Architecture of NFC Enabled Mobile Phones, NFC Operating Modes, Wireless Communication as a Communication Media for NFC Technology; M2M  Machine to Machine Architecture and Protocols; Performance Analysis. Mobile OS: Android, iOS; Software Systems; Smartphone architecture and Software development. 

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WN706  Smart Sensor Technology  2013 
General concepts and terminology of measurement systems, transducer classification  Variable resistance transducers, Inductive transducers, capacitive transducers, general inputoutput configuration, static and dynamic characteristics of a measurement system, Statistical analysis of measurement data. Standards and Calibration. Smart materials and systems: Piezoelectric materials, Shapememory materials, ElectroRheological (ER) fluids, MagnetoRheological (MR) fluids. MEMS: Introduction, emergence, devices and application, scaling issues, materials for MEMS, Thin film deposition, lithography and etching. Bulk micro machining, surface micro machining and LIGA process. MEMS devices, Engineering Mechanics for Micro System Design, Design of Micro Pressure Sensor. Introduction to Nanotechnology, Nano sensors, Molecular Nanotechnology, CNT Types, synthesis and applications. Introduction to Sensor networks: Advances in WSNMEMSMicro sensor, RFMEMSMicro radios. 

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WN707  Machine Learning  2013 
Role of learning in intelligent behavior, general structure of a learning system; learning from example; concept learning, Introduction to machine learning and machine learning applications, Supervised learning, Bayesian decision theory, Parametric methods, multivariate methods, dimensionality reduction, Support Vector Machine, clustering, nonparametric methods, decision trees, linear discrimination, Sparse Linear models, multilayer Perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, combining multiple learners, and reinforcement learning. 

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WN708  Coding And Information Theory  3003 
Coverage of Information Theory, General Architecture of Communication Systems, Mathematical Tools for Information Theory, Source and Channel Models, Entropy, Relative Entropy, and Data Compression, Source Coding, Mutual Information, Channel Capacity, Limit Theories in Source Coding, Limit Theories in Channel Coding: Reliability Function, Introduction to Network Information Theory, Error control coding techniques for wireless mobile channels: Block and Convolutional Codes, Turbo Codes and LDPC Codes with iterative decoding algorithms, iterative receivers and their application for wireless communications; Coding for Cooperative Communication, Network Coding, Coding for Multiuser Communication, Information Theory with Feedback, Information Theory for wireless, fading channels, etc. Discussion on Selected Journal Papers. 

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WN709  Wireless Multimedia Networks  2013 
Introduction: Analog and Digital Audio and Video, Audio compression, Video compression, Discrete Cosine Transform and Motion Estimation, Joint Photography Experts Group (JPEG) compression, Motion Picture Experts Group (MPEG) Compression, MPEG1, MPEG2, and MPEG4 standards, Audio and Video synchronization, Multimedia conferencing Paradigms and systems, Video call control and management, Video Editing in compressed domain, Multimedia Security, Multimedia File Servers, Video on Demand, Multimedia Networking and CommunicationSynchronizationQuality of ServiceRequirements and Constraints  Performance Evaluation, Deterministic, Best Effort, and Statistical Performance Guarantees, Media Caching in the Internet, Cable Networks, Multimedia Wireless Networks, Buffering, Streaming, Scalability, Multimedia Applications, Multimedia on Gigabit networks, Multimedia on mobile devices and networks. Research paper reading  IEEE Transactions and journal papers by Mihaela van der Schaar. Mathematical Modeling and Analysis. 

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WN710  Antenna Engineering: Theory & Design  2013 
Introduction, Antenna Basics, Antenna Arrays: Two element arrays, Multiplication of patterns, Linear Array with n isotropic point sources of equal amplitude and spacing (Broadside, End fire Arrays), EFA with Increased Directivity, Scanning Arrays, N element linear array and directivity, Binomial Arrays Uniform spacing and Nonuniform Amplitude. VHF, UHF and Microwave Antennas: Dipole array with Parasitic Elements, Folded Dipoles & their characteristics, YagiUda Antenna, Reflector Antennas : Flat Sheet and Corner Reflectors, Paraboloidal Reflectors –Beam formation, Types of parabolic reflectors, F/D Ratio, Spill Over, Back Lobes, Aperture Blocking, Feed systems, Offset Feeds, Cassegrain Feeds, Horn Antennas – Types, Optimum Horns, Design Characteristics of Pyramidal Horns; Lens Antennas – principle, types of lens antenna, non metallic dielectric lens antenna, primary feed and its uses, E –plane metal plate lens antenna, Antenna Measurements – Patterns measurementarrangement for radiation pattern, Distance requirements, Directivity and Gain Measurements, Introduction to microstrip antennas. Wave Propagation: Introduction, classification, modes of Propagation, Ground Wave Propagation–Characteristics, Parameters, Wave Tilt, Flat and Spherical Earth Considerations. Sky Wave Propagation – Formation of Ionospheric Layers and their Characteristics, Mechanism of Reflection and Refraction, Critical Frequency, Virtual Height, MUF– Calculations, LUHF, Skip Distance, Optimum working Frequency, Ionospheric Abnormalities, Ionospheric Absorption, multihop propagation, Space Wave Propagation – LOS, Tropospheric Wave Propagation – Radius of Curvature of path, Effective Earth’s Radius, Effect of Earth’s Curvature, Field Strength Calculations, Duct Propagation(Mcurves). 

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WN711  Distributed Network Algorithms  2013 
IntroductionSynchronous Network ModelFailuresInputs and OutputsExecutionsProof MethodsComplexity MeasuresRandomization Algorithms in General Synchronous networksLeader Election in a General NetworkBreadth First Search Shortest Paths Minimum Spanning TreeMaximal Independent Set Distributed Consensus with Link FailuresThe Coordinated Attack ProblemDeterministic VersionRandomized Version Distributed Consensus with Process FailuresAlgorithms for Stopping FailuresAlgorithms for Byzantine FailuresNumber of Processes for Byzantine AgreementByzantine Agreement in General GraphsWeak Byzantine AgreementNumber of Rounds with Stopping FailuresAsynchronous System ModelI/O AutomataOperations on AutomataFairnessInputs and Outputs for ProblemsProperties and Proof MethodsComplexity MeasuresIndistinguishable ExecutionsRandomizationAsynchronous Shared Memory modelShared Memory SystemsEnvironment ModelIndistinguishable StatesShared Variable TypesComplexity MeasuresFailuresRandomization Resource AllocationProblemNonexistence of Symmetric Dining Philosophers AlgorithmsRightLeft Dining Philosophers AlgorithmRandomization. 

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WN712  Security In Wireless Networks  2013 
Aspects of Wireless Networking and Security  Confidentiality, Integrity, Availability, Eavesdropping, Masquerading, Denial of Service, Cryptography – Concepts  PRF/PRP, Stream / Block Cyphers, RC4, 3DES, AES, Hashing, Asymmetric key pairs, Certificates, Overview of various wireless technologies, protocols, systems and applications and the respective security concerns and challenges  WLAN, WMAN, WPAN, WMN, WS[A]N, MANET, VANET, Smart Home, Smart Grid, Crosslayer attack and defense, Tunneling  SSL and IPSec, Enterprise Wireless LAN Security  802.1X, EAP, TLS, Kerberos, PEAP, TTLS, LEAP, EAPSIM, Physical layer security considerations Jamming, Spread Spectrum, Proposed mitigations, Link & Upper layer security considerations  MAC misbehavior, Routing and Forwarding misbehavior, Transport layer misbehavior, Proposed mitigations, Crosslayer attacks and defenses, Trust and Reputation Management  Attacks and Defense strategies, Synchronization & Localization based attacks and mitigation strategies, Privacy, & Anonymity, Smart Grid Security, Introduction to Telecom systems2G/3G/4G, Telecom system and infrastructure attacks, Mobile app and OS security, PAN Security, IoT, NFC. Lab: Wireless Security Lab based on the above topics will be conducted using Network Analyzers and QualNet simulation platform. 

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WN713  4G Mobile Broadband & Small Cell Networks  2013 
LTE: Architecture, Frame structure, Bandwidth Concepts, Cell search and reference signals, Scheduling Proportional fair Scheduling, Link Adaptation; Uplink Controlling, Downlink Controlling, Intercell Interference control; LTE performance verification. Heterogeneous Networks: Seamless Service Provisions, Power Management, Concurrent Aggregation in Wireless Networks: CoBA, Network Information Flow, XOR. 4G: Evolution to 4G; Fundamentals 4G Networks and Composite Radio Environment, Protocol Boosters, Hybrid 4G Wireless Network Protocols, Green Wireless Networks; Small cell networks: Macro, Micro, Pico, Femto cell design and Applications, Fundamentals of access control in femto cells, Multiple Antenna Techniques in small cell networks, Mobility and Interference Management in small cell networks, Throughput improvement using small cells, Channel Modeling for 4G, Mobility Management; Security. 

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WN714  Advanced Wireless Communication Technologies  2013 
Prerequisite: Introduction to vectors, Norm, Energy, Power of vectors. Properties of matrices, Transposes, Dot products, Solving Linear Equations, Rank of the matrixes, Orthogonality, Determinant, Eigen values, eigen vectors, SVD. Spacetime processing: Beamforming, spatial, temporal, frequency diversity, antenna gain, spatial canceling of interference. Definition of diversity order; Spatial Channel modeling. MIMO: Introduction to Wireless MIMO Communications Types of MIMO systems SISO, SIMO, MISO, MIMO, MIMO interference systems. Point to point MIMO system Model  Capacity, SISO AWGN model Performance; SISO Fading Channel Model Performance; Outage capacity, ergodic capacity; Capacity analysis of  Single user MIMO System with Full CSIT, Partial CSIT and Long term CSIT; Capacity Analysis of MIMO Fading Channel with long term and Short term channel Knowledge; Spacetime Block Coded MIMO System, STTD, Alamouti Coding, Dominant mode Beamforming, ML, VBLAST, DBLAST Performance analysis. Algorithms for MIMO. Spectral efficiency, link budget, coverage gain with MIMO. Limitations and implementation issues. Cognitive Radio: SDR Architecture – Reconfigurable communication systems, Digital Radio Processing Evolution to CR. CR Architecture Issues related to physical Layer designs in CRs. CRs and Dynamic Spectrum Access. Spectrum Sensing – Detect Primary system, Cognitive OFDMA systems, Energy Detection, Cyclostationary Detection, Covariance Matrixbased Detection, Wavelet Detection, Compressed Sensing, Spectrum Decision , Spectrum Sharing  Intranetwork Spectrum Sharing, CR MAC, Routing, CR Control. 

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WN715  Big Data & Applications  3003 
Introduction: Large databases and their evolution, Introduction to Data Science  Why Big Data?  Problems solved by Data Science  Data Science Process  Exploratory Data Analytics. Data Preparation: data munging  scraping  sampling  cleaning. Exploring and Analysis of Data  descriptive and inferential statistics, sampling, experimental design, parametric and nonparametric tests of difference, ordinary least squares regression, and general linear models; Data storage and management in order to be able to access data  especially big data  quickly and reliably during subsequent analysis  storage, search and retrieval systems for large scale structured and unstructured information systems. Data Analytics  Theory and Methods  Supervised learning, Linear/Logistic Regression, Decision tress, Naïve Bayes, Unsupervised learning  Kmeans clustering  Association rules  Unstructured Data Analytics  Technologies and tools  Text mining  Web mining. Data Communication with Information Visualization  Effective Information Visualization  Visual Encoding  Perception of Visual Cues  Data Scales  Visualizing Time Series Data  Visualizing through stories and interpretable summaries. 

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WN716  Adaptive Signal Processing  2013 
Wiener filter, Kalman Filter, Least Mean Square(LMS) and variants, LMS via DFT, DCT, Recursive Least Square(RLS), Fast transversal and Fast Lattice RLS, Convergence and tracking performance of adaptive filters; Applications of ASP, Spectral estimation, System identification, Channel equalization. 

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WN717  Cloud Computing And Internet Of Things  2013 
Cloud Computing: Infrastructure as a Service (IaaS) providers  Google Compute Engine, Amazon AWS, Microsoft Azure; Cloud Database providers  Google Cloud SQL, Microsoft Cloud SQL Database; Cloud Storage providers: Google Drive API, Google Cloud Storage, Azure Blob Storage. Platform as a Service (PaaS) providers for Web Rapid Application Development (RAD)  Google App Engine; Distributed Storage providers: Google Cloud Datastore, Azure tables; Distributed Computing providers and frameworks: Google Cloud Dataflow, Apache Spark. Internet of things: Internet of Things definitions and frameworks, Internet of Things application examples, Fundamental IoT mechanisms and key technologies, Evolving IoT standards, Layer 1/2 connectivity: wireless technologies for the IoT; Applications of IoT in Environmental monitoring and Smart grid, Cloud solutions providers for IoT  Google Weave. Laboratory: Deploying an application using an IaaS provider, Deploying an application using a PaaS provider, Writing applications using SQL vs NoSQL cloud storage solutions, Writing an application for Distributed Computing environments (Google Dataflow). 

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WN718  Random Process And Queueing Models  3003 
Random Processes: Introduction, Classification of random processes, Poisson Process, renewal processes, Markov Process, Markov Chains, Transition Probabilities, classification of states of Markov chains, ChapmanKolmogorov Equations, steady state probabilities, continuous time Markov chains and birth and death processes and analysis of time series. Queuing Models: Characteristics of Queuing Systems, Steady state solution of M/M/1 and M/M/C queuing models with Finite and Infinite Capacities, Stationary behavior of M/G/1. 

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WN719  Linear Algebra And Its Applications  2013 
Determinants row reduction and cofactor expansions, Cramer’s rule. Row picture, Column picture, Vector Spaces Euclidean space, general (real) vector spaces, subspaces, linear independence, dimension, row, column and null spaces. Inner products: norms, orthogonal bases and GramSchmidt orthogonalization; Matrix Multiplication Problems, Matrix Analysis, Gauss Elimination Technique, LU and LDU Decomposition methods, Diagonalization of a Matrix, Singular value decomposition. Linear transformations: Kernel and range, inverse transformations, matrices of linear transformations, change of basis, similarity; Orthogonalizations and Least Squares, Parallel Matrix Computations, Unsymmetric Eigenvalue problem, Symmetric eigenvalue problem, Iterative methods for linear systems, Lanczos methods. 

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WN720  Detection And Estimation Theory  2013 
Sufficiency, Exponential families, Methods of estimation: Least Squares, Maximum likelihood, method of moments, Bayes; Algorithms for estimation. Performance: Bayes, minimax, unbiasedness, CramerRao inequality, RaoBlackwell Theorem; Asymptotic Performance: Consistency, Asymptotic normality, Asymptotic optimality, Hypothesis Testing NeymanPearson Lemma, UMP Tests, Monotone likelihood ratio, Generalized likelihood ratio test, confidence bounds. 

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WN721  Computational Optimization  2013 
Introduction mathematical optimization, leastsquares and linear programming, convex and nonlinear optimization, Convex sets, Steepest Descent, Newton's Method, Linear optimization, Quadratic optimization, Generalized inequality constraints, Integer programming, Combinatorial optimization, Dynamic programming, Genetic Algorithms for optimization. Laboratory: Introduction to Optimization in wireless networks, Background, Optimization problems for networks with infrastructure: Mathematical programming models for third generation wireless network design, Optimization based WLAN modeling and design; Optimization problems in Adhoc networks, Optimization problems in the operation of Wireless Networks, Optimization of Wireless Broadband Systems. 

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WN722  Graph Theory And Its Applications In Wireless Networks  2013 
Graph Theory: An Introduction to Graph theory, Definition and examples, Subgraph, Complements and Graph Isomorphism, Vertex Degree: Euler Trials and Circuits, Planar Graphs, Hamilton Paths and Cycles, Probabilistic graph, Social Graphs, Applications in Social Networks, Graph Coloring and Chromatic Polynomials, Digraph, Dijkstra’s ShortestPath Algorithm, maximal matching perfect matching – kfactor graphs. Tree: Properties of Trees, Distances and centers in a tree, Spanning Tree, Minimal and Maximal spanning tree, The Algorithms of Kruskal and Prim, Transport Network: The MaxFlow Mincut Theorem, Weighted Trees and Prefix Codes Vertex and Horizontal constrained graphs, Interval, Permutations and Intersection graphs with simple properties. Algorithms and Applications: Shortest and longest path algorithm, Minimal and Maximal spanning tree algorithms, maximal matching algorithms, Coloring algorithms, Graph Partitioning algorithm. Research Paper Discussion and Presentation on applied graph theory in wireless networks. 

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WN797  LiveInLabs  0011 
AMRITA University has established liveinlabs at 100+ locations, mostly in rural areas spread across the length and breadth of India. LiveinLabs© is an opportunity for students to live in a village environment so they can study problems firsthand in water, health, education, etc. and work together to devise solutions. LiveInLabs will provide an experiential learning opportunity where each student can come and spend for 2 weeks to a semester in one of the live in labs based on the area. They will become part of the interdisciplinary team of students and faculty drawn from across the disciplines from all participating universities. The liveinlabs have varied focus areas such as energy, water, healthcare, education, waste management, ICT for billion, skill building etc. During this process the students will share village life and observe and understand problems encompassing health and hygiene, energy, water, waste, environment, etc., touching the villagers’ lives, and define projects that seek to address these problems, devise solutions, implement, test and eventually demonstrate innovative solutions. One definitive achievement is that they will receive a deeper understanding of challenges faced by emerging developing countries. This gives the wonderful opportunity since emerging countries have the largest opportunity for new ideas, innovative solutions etc. 
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