I have taken part in several different projects during my time at the University of Maryland and also at IITM. Here is a brief summary of the research conducted in these projects, starting from the oldest.
Indian Institute of Technology, Madras
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Bachelor’s Thesis Research
- Analyzed the stability, rate of convergence and performance of communication systems using control theoretical concepts, by modeling the system by linear delay differential equations.
- Investigated congestion control in Internet from a control theoretical perspective: understanding the impact of buffer size and Active Queue Management algorithms on stability and congestion in the network.
University of Maryland, College Park
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Delay Tolerant Networks
- Investigated Delay Tolerant Networks (DTNs), to develop analytical models to understand the Epidemic Routing protocol.
- Evaluated several mathematical models using discrete time equivalents of continuous time Markov processes as the basis, such as jump Markov processes. Simulated the efficiency of the models using MATLAB.
- Investigated Delay Tolerant Networks (DTNs), to develop analytical models to understand the Epidemic Routing protocol.
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Master’s Thesis Research
- Surveyed established methods of blind equalization in wireless communication systems to develop a novel “Blind receiver” for LTE systems.
- Identified several blind equalization techniques for application in LTE.
- Designed MCMA/AMA equalizer algorithm for a 2×2 MIMO-OFDM system in MATLAB. Compared performance with traditional non-blind equalizers.
- Developed novel techniques to estimate Precoder matrix used in LTE transmission
- Implemented three different methods to estimate, at the receiver, the precoder matrix used by an LTE transmitter, namely – Blind equalization using MCMA/AMA, Hypothesis testing and using Cluster Variance.
- Observed a favorable trade-off between error performance and computation complexity with a simplified hypothesis testing method, compared to other techniques.
- Surveyed established methods of blind equalization in wireless communication systems to develop a novel “Blind receiver” for LTE systems.
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Real-Time Video Rate Control Research
- Explored the design of video-quality aware rate control algorithms for real-time video conferencing applications, to optimize end-user experience, and reduce network congestion.
- Designed a video rate adaptation policy using a Markov Decision Process (MDP).
- Proposed to estimate the optimal policy using Q-learning.
- Explored the design of video-quality aware rate control algorithms for real-time video conferencing applications, to optimize end-user experience, and reduce network congestion.