Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks
Joint Authors
Mohamad, Hafizal
Yau, Kok-Lim Alvin
Al-Rawi, Hasan A. A.
Ramli, Nordin
Hashim, Wahidah
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-22, 22 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-16
Country of Publication
Egypt
No. of Pages
22
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Cognitive radio (CR) enables unlicensed users (or secondary users, SUs) to sense for and exploit underutilized licensed spectrum owned by the licensed users (or primary users, PUs).
Reinforcement learning (RL) is an artificial intelligence approach that enables a node to observe, learn, and make appropriate decisions on action selection in order to maximize network performance.
Routing enables a source node to search for a least-cost route to its destination node.
While there have been increasing efforts to enhance the traditional RL approach for routing in wireless networks, this research area remains largely unexplored in the domain of routing in CR networks.
This paper applies RL in routing and investigates the effects of various features of RL (i.e., reward function, exploitation, and exploration, as well as learning rate) through simulation.
New approaches and recommendations are proposed to enhance the features in order to improve the network performance brought about by RL to routing.
Simulation results show that the RL parameters of the reward function, exploitation, and exploration, as well as learning rate, must be well regulated, and the new approaches proposed in this paper improves SUs’ network performance without significantly jeopardizing PUs’ network performance, specifically SUs’ interference to PUs.
American Psychological Association (APA)
Al-Rawi, Hasan A. A.& Yau, Kok-Lim Alvin& Mohamad, Hafizal& Ramli, Nordin& Hashim, Wahidah. 2014. Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-22.
https://search.emarefa.net/detail/BIM-1051756
Modern Language Association (MLA)
Al-Rawi, Hasan A. A.…[et al.]. Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks. The Scientific World Journal No. 2014 (2014), pp.1-22.
https://search.emarefa.net/detail/BIM-1051756
American Medical Association (AMA)
Al-Rawi, Hasan A. A.& Yau, Kok-Lim Alvin& Mohamad, Hafizal& Ramli, Nordin& Hashim, Wahidah. Reinforcement Learning for Routing in Cognitive Radio Ad Hoc Networks. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-22.
https://search.emarefa.net/detail/BIM-1051756
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051756