Browsing Electrical Communication Engineering (ECE) by Advisor "Murthy, Chandra R"
Now showing items 1-16 of 16
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Bayesian Techniques for Joint Sparse Signal Recovery: Theory and Algorithms
This thesis contributes new theoretical results, solution concepts, and algorithms concerning the Bayesian recovery of multiple joint sparse vectors from noisy and underdetermined linear measurements. The thesis is written ... -
Data Fusion Based Physical Layer Protocols for Cognitive Radio Applications
(2017-09-26)This thesis proposes and analyzes data fusion algorithms that operate on the physical layer of a wireless sensor network, in the context of three applications of cognitive radios: 1. Cooperative spectrum sensing via binary ... -
Design of Communication Systems with Energy Harvesting Transmitters and Receivers
An energy harvesting node (EHN) operates using the energy harvested from the environment, e.g., solar, piezoelectric and radio frequency, which presents the tantalizing possibility of perpetually operating of sensor nodes. ... -
Finding A Subset Of Non-defective Items From A Large Population : Fundamental Limits And Efficient Algorithms
(2017-07-12)Consider a large population containing a small number of defective items. A commonly encountered goal is to identify the defective items, for example, to isolate them. In the classical non-adaptive group testing (NAGT) ... -
Fundamentals Limits Of Communication In Interference Limited Environments
(2017-08-21)In multiuser wireless communications, interference not only limits the performance of the system, but also allows users to eavesdrop on other users’ messages. Hence, interference management in multiuser wireless communication ... -
Linear Dynamical Systems with Sparsity Constraints: Theory and Algorithms
This thesis develops new mathematical theory and presents novel recovery algorithms for discrete linear dynamical systems (LDS) with sparsity constraints on either control inputs or initial state. The recovery problems ... -
Opportunistic Beamforming and Asymptotic Throughput Analysis of Hybrid Analog-Digital mmWave Multi-User MIMO Systems
In this thesis, we address the problem of large training/feedback overhead and the requirement of computationally intensive algorithms to determine the phase angles of the analog precoder for downlink data transmission ... -
Optimal Routing and Data Transmission for Multi-Hop D2D Communications
Device-to-Device (D2D) communication, which enables direct link communication between nodes without going through the infrastructure, has received considerable attention in recent years, particularly in the context of ... -
Performance Analysis Of Post Detection Integration Techniques In The Presence Of Model Uncertainties
(2013-07-10)In this thesis, we analyze the performance of the Post Detection Integration (PDI) techniques used for detection of weak DS/CDMA signals in the presence of uncertainty in the frequency, noise variance and data bits. Such ... -
Reverse Channel Training in Multiple Antenna Time Division Duplex Systems
(2018-04-02)Multiple-Input Multiple-Output (MIMO) communication using multiple antennas has received significant attention in recent years, both in the academia and industry, as they offer additional spatial dimensions for high-rate ... -
Sparse Bayesian Learning For Joint Channel Estimation Data Detection In OFDM Systems
(2018-08-30)Bayesian approaches for sparse signal recovery have enjoyed a long-standing history in signal processing and machine learning literature. Among the Bayesian techniques, the expectation maximization based Sparse Bayesian ... -
Spectrum Sensing Techniques For Cognitive Radio Applications
(2017-07-25)Cognitive Radio (CR) has received tremendous research attention over the past decade, both in the academia and industry, as it is envisioned as a promising solution to the problem of spectrum scarcity. ACR is a device that ... -
Structured Sparse Signal Recovery for mmWave Channel Estimation: Intra-vector Correlation and Modulo Compressed Sensing
This thesis contributes new theoretical results and recovery algorithms for the area of sparse signal recovery motivated by applications to the problem of channel estimation in mmWave communication systems. The presentation ... -
Support Recovery from Linear Measurements: Tradeoffs in the Measurement-Constrained Regime
In this thesis, we study problems under the theme of discovering joint sparsity structure in a set of high-dimensional data samples from linear measurements. Our primary focus is on the regime where the number of samples ... -
Underwater Acoustic Communications: Algorithms for Delay-Scale Spread Wideband Channels
In wideband wireless communication systems, the relative motion of the transmitter, receiver, or scatterers in the medium causes the Doppler effect, which stretches or compresses the transmitted waveforms, resulting in ... -
Variational Bayes Algorithms for mmWave and Massive MIMO-OFDM Systems with Low Resolution ADCs
In this thesis, we develop novel low-complexity algorithms for massive multiple-input multiple-output (MIMO) systems under practical non-idealities and theoretically analyze their performance. The first problem we consider ...