Network Association in Machine-Learning Aided Cognitive Radar and Communication Co-Design

Cognitive Radar Network Design and Applications

In recent years, several emerging technologies in modern radar system design are attracting the attention of radar researchers and practitioners alike, noteworthy among which are multiple-input multiple-output (MIMO), ultra wideband (UWB) and joint communication-radar technologies. This thesis, in particular focuses upon a cognitive approach to design these modern radars. In the existing litera...

Machine Learning-aided, Robust Wideband Spectrum Sensing for Cognitive Radios

Scaling Distributed Machine Learning with System and Algorithm Co-design

For a lot of important machine learning problems, due to the rapid growth of data and the ever increasing model complexity, which often manifests itself in the large number of model parameters, no single machine can solve them fast enough. Therefore, distributed optimization and inference is becoming more and more inevitable for solving large scale machine learning problems in both academia and...

Application of Neural Networks and Machine Learning in Network Design

Communication networks design is becoming increasingly complex, involving making networks more usable, affordable, and reliable. To help reduce this complexity, we have proposed, END, an Expert Network Designer for configuring, modeling, simulating, and evaluating large structured computer networks, employing artificial intelligence, knowledge representation and network simulation tools. In thi...

Machine Learning Aided Efficient and Robust Algorithms for Spectrum Knowledge Acquisition in Wideband Autonomous Cognitive Radios