Analysis and implementation of reinforcement learning on a GNU Radio cognitive radio platform

Ren, Yu, Dmochowski, Pawel and Komisarczuk, Peter (2010) Analysis and implementation of reinforcement learning on a GNU Radio cognitive radio platform. In: 5th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 9-11 Jun 2010, Cannes, France.

Full text not available from this repository.

Abstract

We present a physical cognitive radio system implementation under the GNU Radio platform with the aim of evaluating a reinforcement learning spectrum management scheme. In our experiments we examine the packet transmission success rate of the cognitive user for a variety of channel utilisation parameters. We derive analytical expressions using Markov chain analysis for the learning convergence time and secondary user packet transmission success rate in the general case of large-scale networks. Our results show that the reinforcement learning scheme significantly improves system performance.

Item Type: Conference or Workshop Item (Paper)
ISSN: 2166-5370
ISBN: 9781424458851
Identifier: 10.4108/icst.crowncom2010.9170
Uncontrolled Keywords: Sensors, Convergence, Markov processes, Chromium, Receivers, Media Access Protocol, Cognitive radio
Subjects: Computing
Depositing User: Vani Aul
Date Deposited: 21 Mar 2014 14:51
Last Modified: 31 Jul 2017 15:01
URI: http://repository.uwl.ac.uk/id/eprint/781

Actions (login required)

View Item View Item

Menu