Course Project-Term Paper
Multiproximal Linearization Method Under Stronger Assumptions
Studied multiproximal linearization algorithm
Theoretically established faster convergence rate under stronger assumption on convexity of function to be optimized
Quantum Error Control Coding
Got familiar with basic quantum computing terminology
Presented a tutorial introducing basics of quantum computing with a glance at initial quantum error control coding schemes
Edge User Characterization and Frequency Reuse for Edge User Performance Improvement
Characterized Cell user by ratio of distances to serving BS and closest interferer BS
Calculated the performance of Cell edge user which turns out to be significantly worse than typical user
Introduced frequency reuse for cell edge user and shown improvement in performance of overall system
On Hybrid Precoding Techniques in Millimeter Wave Frequencies
Explored techniques for Single/Multiuser Hybrid precoding for flat channel model
Studied technique for Single user Hybrid Precoding for Frequency Selective MM Wave channel model
Channel Estimation Technique for Multiuser Frequency Selective Hybrid MM Wave MIMO system
Multi-Agent Distributed Strategies versus Centralized Estimation
Reviewed incremental, consensus and diffusion strategy for optimization over distributed agents
Simulated the strategies to compare the performance with benchmark obtained from centralized strategy
Decentralized Joint-Sparse Signal Recovery: A Sparse Bayesian Learning Approach
Studied about detection techniques for joint sparse vectors in wireless sensor network
Use expectation maximization for centralized approach and ADMM for decentralized approach
Simulated and used parameters NMSE, NSER and number of iterations required to compare with other techniques
Generalized Frequency Division Multiplexing
Cyclic prefix required before each block, high PAPR and out of band emission are drawback of OFDM
GFDM is proposed in literature to solve the above challenges
Complexity of GFDM makes it difficult to implement in current generation
Data censoring for MAP and MLE estimation in WSN
In a large WSN, data measured at some sensors is more significant in estimation of desired parameter
Reviewed a data censoring method for ML and MAP estimators and simulated to compare performance with random censoring
Covert Communication
A way to communicate with secret link
Studied about various protocol for covert communication
Explored various ways to prevent covert communication