PG Students

For the Postgraduate level, I offer the following courses:

Course Title: ETE 6209 (Wireless Resource Management Communications)

Course Content: Resource management architecture: Evolution and components of QoS and cross-layer architecture for bandwidth management; Tri-band and smart antenna; Handoff management; Mobility prediction; Resource management and connection admission control; Bandwidth allocation and scheduling: Real-time guaranteed and fair real-time scheduling; Inter-domain radio resource management; High performance broadband architecture; Wireless truthful computing; Resource allocation of spatio-temporal division multiple access control; Resource management schemes for connectivity: Piconet and scatternet; Energy efficient MAC layer protocols for wireless ad-hoc networks; Routing and resource discovery for wireless ad-hoc networks: QoS based routing, Topology management, Efficient resource discovery, Hybrid routing protocols and localization; Energy efficient broadcasting and multicasting algorithms; Power-conserving broadcasting and multicasting algorithms; Scopes of increasing wireless resources, Research and future developments.

Course Title: ETE 6209 (Machine Learning for Wireless Communications)

Course Content: Introduction to learning and machine learning: supervised/unsupervised/reinforcement learning - Revision of probability and statistics revision - Revision of linear algebra - Fundamentals of numerical optimization - Introduction to machine learning assisted linear regression and classification ; Machine learning for physical layer design - Adaptive modulation and coding (AMC): classical AMC, using support vector machines, using k-nearest neighbors, using k-means, using reinforcement learning 2- Code Division Multiple Access (CDMA): classical design, using learning such as ACO/GA 3- Precoder design: classical design, channel prediction using deep learning ; User grouping/clustering in D2D, HetNets for offloading 2- Traffic prediction and interference management in HetNets 3- Clustering of small cells in HetNets to avoid interference in CoMP.

Course Title: ETE 6208 (Modeling and Simulation of Wireless Communication Systems)

Course Content: Role of Simulation: Examples of complexity - multidisciplinary aspects of simulation -models - deterministic and stochastic simulations; Simulation methodology - aspects of methodology - performance estimation; Fundamental Concepts: Sampling - quantizing - reconstruction and interpolation - simulation sampling frequency - complex envelope techniques; Stationary and Ergodic Processes: Uniform random number generators - mapping uniform random variables to an arbitrary PDF - generating uncorrelated and correlated Gaussian random numbers - PN sequence generators; Establishing a PDF and PSD Post Processing: Basic graphical techniques - estimation - coding; Fundamental Concepts of Monte Carlo Simulation- applications and integration - two Monte Carlo examples; Semi Analytic Techniques System: Level simplifications and sampling rate considerations - overall methodology; Modeling and Simulation of Nonlinearities: Modeling and simulation of memory less nonlinearities - modeling and simulation of nonlinearities with memory - techniques for solving nonlinear differential equations; Models for LTV systems - random process models - simulation models for LTV systems; Wired and guided wave - radio channels - multipath fading channels - Random process models - simulation methodology; Discrete Channel Models: Discrete memory less channel models - Markov models for discrete channels with memory- HMMs - Gilbert and Fritchman models - estimation of Markov model parameters; Simulation of Generating PDF for the Gaussian and non-Gaussian distributions and Simulation of linear and non-linear systems using different techniques with the help of simulation tools.