Cognitive Radio for 4G Communications

This project will examine how cognitive radio technology can be applied efficiently to future 4G wireless communications systems. It will specifically consider the impact on individual links, as well as on end-to-end performance for single and multi-hop mesh architectures, including femto-cell provision.

A key aim will be to incorporate cognitive principles, possibly based on machine learning, to better cope with a highly complex environment of heterogeneous nodes and systems. The project will exploit knowledge of bandwidth assignment, and possibly routing strategies, considering practical node and network constraints. A mixture of simulation and analysis will be used to assess performance. Markov analysis and set theory will be particularly important analytical tools.

Members

Qiyang Zhao

David Grace

Dates

October 2009 to
September 2013

Research