Kaiser, "Multi-Carrier and Spread Spectrum Systems: From OFDM and MC-CDMA to LTE and WiMAX", 2nd Edition, John Wiley & Sons, Ltd, 2008. Understand the concept of Spread Spectrum and examine different types of Spread Spectrum sequences and their generation. Understand the principles of Code Division Multiple Access (CDMA) and the use of the spread spectrum concept in CDMA.
Understanding of various code tracking loops for optimal tracking of broadband or spread spectrum signals. Examine the performance of spread-spectrum, forward-error-correction, and multi-user detection systems in a CDMA cellular radio environment. It creates different types of spread spectrum sequences and can simulate a CDMA system (both transmitter and receiver).
Analyze the performance of Spread Spectrum Systems in Jamming environment and systems with Forward Error Correction. Introduction to spread spectrum systems: fundamental concepts of spread spectrum systems, spurious noise sequences, direct sequence spread spectrum, frequency hopping spread spectrum, hybrid direct sequence frequency hopping spread spectrum, code division multiple access. Performance of spread spectrum systems in interference environments Spread spectrum, communication system model, performance of spread spectrum systems without coding.
Performance of spread-spectrum systems with basic block coding concepts with forward error correction, optimal decoding rule, calculation of probability of error, basic convolutional coding concepts, Viterbi algorithm, decoding and bit error rate.
TECH.- I YEAR- I SEMESTER COMMUNICATION SYSTEMS
Understand that today's world is controlled by computers, information technology, and tomorrow's world will be ruled by ideas, concepts and creativity. MIMO Systems: Introduction, Space Diversity and Space Diversity Based System, Smart Antenna System and MIMO, MIMO Based System Architecture, MIMO Exploits Multipath, Spatiotemporal Processing, Antenna Considerations for MIMO, MIMO Channel Modeling, MIMO Channel Measurement, MIMO channel capacity , Cyclic delay diversity (CDD), Space-time coding, Advantages and applications of MIMO in the present context, Applications of MIMO in 3G wireless system and beyond, MIMO-OFDM. Performance measurement and monitoring: measurement standards, basic test equipment, optical power measurement, optical fiber characterization, eye diagram tests, time domain optical reflectometer, optical performance monitoring, fiber optic system performance measurements.
Rajeev Ramaswamy and Kumar N Sivarajan, "Optical Networks: A Practical Perspective", Ed. 2, 2004, Elsevier Morgan Kaufmann Publishers (An imprint of Elsevier). Students will be able to understand the design, operation and performance of MAC layer protocols of Adhoc wireless networks. Students will be able to understand the design, operation and performance of Adhoc wireless network routing protocol.
Students will be able to understand the design, operation, and performance of the transport layer protocol of ad hoc wireless networks. Students will be able to understand the architecture of sensor networks and distinguish between protocols used in ad-hoc wireless networks and wireless sensor networks. MAC Protocols: Introduction, Issues in Designing a MAC Protocol for Wireless Ad Hoc Networks, Design Goals of a MAC Protocol for Wireless Ad Hoc Networks, Classifications of MAC Protocols, Content Based Protocols, Content Based Protocols with Reservation Mechanisms , content-based MAC protocols with scheduling mechanisms, MAC protocols using directional antennas, other MAC protocols.
Routing Protocols: Introduction, Routing Protocol Design Issues for Ad Hoc Wireless Networks, Classification of Routing Protocols, Table-Based Routing Protocols, On-Demand Routing Protocols, Hybrid Routing Protocols, Routing Protocols with Efficient Flooding Mechanisms, Hierarchical Routing Protocols, Power-Aware Routing Protocols. Transport Layer Protocols: Introduction, Transport Layer Protocol Design Issues for Ad Hoc Wireless Networks, Transport Layer Protocol Design Goals for Ad Hoc Wireless Networks, Classification of Transport Layer Solutions, TCP over Ad Hoc Wireless Networks, Other Transport Layer Protocols for Ad Hoc Wireless Networks . Fading channels and diversity techniques: Wireless channels – Probability of error/dropout in fading channels – Diversity techniques – Channel coding as a means of time diversity – Multiple antennas in wireless communications.
Capacity and information rates of MIMO channels: Capacity and information rates of noisy, AWGN, and fading channels – Capacity of MIMO channels – Capacity of non-coherent MIMO channels – Limited signaling for MIMO communications. Space-time block and trellis codes: Transmit diversity with two antennas: the Alamouti scheme – orthogonal. Concatenated codes and iterative decoding: Development of concatenated codes – Concatenated codes for AWGN and MIMO channels – Turbocoded modulation for MIMO channels – Concatenated space-time block coding.
Space-time coding for frequency-selective fading channels: MIMO frequency-selective channels – Capacity and information rates for MIMO FS fading channels – Space-time coding and channel detection for MIMO FS channels – MIMO OFDM systems.
TECH.- I YEAR- II SEMESTER COMMUNICATION SYSTEMS
Perform Below experiments using C/C++/JAVA I Minimum 10 experiments must be performed
Network design issues, network performance issues, network terminology, centralized and distributed approaches to network design, issues in the design of voice and data networks. Layered and layer less communication, cross-layer design of networks, voice networks (wired and wireless) and switching, circuit switching and packet switching, statistical multiplication. Queuing models of networks, traffic models, Little's Theorem, Markov chains, M/M/1 and other Markov systems, multiple access protocols, Aloha system, carrier sensing, examples of local area networks,.
TECH.- II YEAR- I SEMESTER COMMUNICATION SYSTEMS
Identify and analyze the different types of neural networks and neuron models and apply accordingly. Analyze different types of neural networks and use different activation functions to solve complex problems. Design and perform empirical analyzes for different types of applications of deep learning systems.
INTRODUCTION TO NEURAL NETWORKS: Characteristics of neural networks, historical development of neural network principles, artificial neural networks: terminology, models of neuron, topology, basic learning laws, pattern recognition problem, basic functional units, pattern recognition tasks by the functional units. Introduction, Analysis of pattern association networks, Analysis of pattern classification networks, Analysis of pattern storage networks. Feedback Neural Networks: Introduction, Analysis of Linear Autoassociative FF Networks, Analysis of Pattern Storage Networks.
Competitive Learning Neural Networks & Introduction to Complex Pattern Recognition, Pattern Clustering Network Analysis, Feature Mapping Network Analysis, Associative Memory. Convolutional Neural Networks: Convolutional Operation, Motivation, Pooling, Convolution and Pooling as Infinitely Strong Advantage, Deep Learning Applications: Deep Learning at Large Scale, Computer Vision, Speech Recognition, Natural Processing, Other Applications. Sequential Modeling: Recurrent Neural Networks: Recursive Neural Networks, Long-Term Short-Term Memory, Explicit Memory, Autoencoders: Outgoing, Regularized, Stochastic Encoders and Decoders, Denoising Autoencoders.
Deep Learning (Adaptive Computing and Machine Learning) by Ian Good Fellow, Yoshua Bengio, Aran Courville. Understand the skills required when writing a title Make sure the paper is of good quality on the first submission. The technical scholars equipped with Sanskrit will be able to explore the vast knowledge of ancient literature.
To address the role of socialism in India after the onset of the Bolshevik Revolution in 1917 and its impact on the initial drafting of the Indian Constitution. Discuss the growth of the demand for civil rights in India for the majority of Indians before the advent of Gandhi in Indian politics. Discusses the intellectual origins of the framework of argument that informed the conceptualization of social reforms that led to revolution in India.
History of the Making of the Indian Constitution: History Drafting Committee, (Composition and Working), Philosophy of the Indian Constitution: Preamble, Salient Features. How can teacher training (curriculum and practicum) and school curriculum and guidance materials best support effective pedagogy?
