Resource management in large-scale wireless networks via random matrix methods

Thesis event information

Date and time of the thesis defence

Place of the thesis defence

Remote connection: https://oulu.zoom.us/j/62809154516

Topic of the dissertation

Resource management in large-scale wireless networks via random matrix methods

Doctoral candidate

Master of Science Hossein Asgharimoghaddam

Faculty and unit

University of Oulu Graduate School, Faculty of Technology, CWC Radio Technologies (CWC-RT)

Subject of study

Communications Engineering

Opponent

Professor Jyri Hämäläinen, Aalto University

Custos

Associate Professor Antti Tölli, University of Oulu

Add event to calendar

Radio resource management in cellular networks

Mathematics is the foundation of information and communication theory, and an essential instrument in the planning and optimization of cellular networks. Not surprisingly the modern cellular networks require advanced mathematical tools to deal with complex problems arising in this context. My study aims to investigate the application of random matrix theory (RMT) as a powerful mathematical tool to develop efficient and practically feasible radio resource management techniques for large-dimensional wireless networks. Exploiting the limiting behaviors of random matrices, it is shown that the resource allocation in large-dimensional wireless networks becomes manageable and/or the information exchange among cooperative nodes can be reduced.
Last updated: 1.6.2021