Cognitive Reconfigurable Embedded Systems Lab

Faculty

PhD Students

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Archived Projects

VANET Design and Simulation for ITS

Principal Investigator(s):        Student(s):
1 publication(s)

Estimation and Characterization of Frequency Hopping Interferers Using Spectral Sensing Techniques

Principal Investigator(s):        Student(s):
3 publication(s)

Weighted Centroid Localization Algorithm: Theoretical Analysis and Distributed Implementation

Principal Investigator(s):        Student(s):
2 publication(s)

Secure Spectrum Sensing in Cognitive Radio Networks

Principal Investigator(s):        Student(s):
7 publication(s)

Reliable Wideband Spectrum Sensing under Strong Interference Environments in Cognitive Radios

Principal Investigator(s):        Student(s):
2 publication(s)

Joint Spectrum Sensing and Medium Access Control

Principal Investigator(s):        Student(s):
2 publication(s)

Self-Healing Mixed-Signal Baseband Processor for Cognitive Radios

Principal Investigator(s):        Student(s):
2 publication(s)

Energy Efficient Blind Automatic Modulation Classification

Principal Investigator(s):        Student(s):
5 publication(s)

Robust Wideband Spectrum Sensing under Interferers

Principal Investigator(s):        Student(s):
2 publication(s)

Massive MIMO in Interference Management in Cognitive Radio Networks

Principal Investigator(s): Danijela Čabrić        Student(s): Shailesh Chaudhari

In coming years, wireless networks have to serve a large number of data hungry devices due to proliferation of new devices and applications every year. Increasing number of wireless devices (users) are competing for physical layer resources, namely time, space and frequency, to download the data required for different applications. In order to serve a […]

4 publication(s)

Load Balancing and Interference Management for Heterogeneous Cellular Networks

Principal Investigator(s): Danijela Čabrić        Student(s): Ghaith Hattab

With the proliferation of wireless devices and the advent of bandwidth hungry applications such as video streaming, cloud-based technologies, etc., incremental improvements to existing networks and architectures such as 4G are insufficient to meet the projected data demands in the next five years. This has called for paradigm shifts in next generation networks, i.e., 5G, […]

5 publication(s)

Dynamic Spectrum Access by Learning Primary Network Topology

Principal Investigator(s): Danijela Čabrić        Student(s): Shailesh Chaudhari, Mihir Laghate

This project focuses on developing cooperative algorithms for the identification of spectrum holes and classification of primary network activity by geographically large-scale cognitive radio networks. The project consists of three parts, namely localization, footprint learning and network topology learning. The knowledge of PU location is required in a cognitive radio (CR) network for advanced spectrum […]

8 publication(s)