Output details
11 - Computer Science and Informatics
The University of West London
Enhancing network performance in Distributed Cognitive Radio Networks using single-agent and multi-agent Reinforcement Learning
<12> This paper is extended further in several other outputs by the authors, and led to an experimental system based on Ettus Research UPRS hardware and Gnu Radio software reported in the paper by Ren, Y., Dmochowski, P., & Komisarczuk, P.; “Analysis and implementation of reinforcement learning on a GNU radio cognitive radio platform,” In Cognitive Radio Oriented Wireless Networks & Communications (CROWNCOM), 2010 Proceedings of the Fifth International Conference (pp. 1-6). IEEE.
We were invited to join the WUN CogCom (World University Network Cognitive Communications) group in 2009.