A survey on RL based Routing in cognitive network
Shweta Goltar, Mr.Trupesh Patel
Reinforcement learning, Cognitive radio network, Collaborative Learning
Designing an efficient routing protocol for cognitive radio networks is critical due to the dynamic behavior of the primary users. Based on empirical studies, the primary users activity on the licensed channels has periodicity comprised of several stages, and that the model of primary users activity may change during different stages. This paper has identified two main challenges facing designers: how to transmit packets via a stable route, and how to ensure imposing of minimal interference on the primary users. To address these, they propose a routing protocol which is based on a generalized version of Q-learning and which exploits the said model of primary users behavior. Degradation of QoS of secondary users stem from lack of attention to the multi-stage periodic behavior of primary users.
Article Details
Unique Paper ID: 147954

Publication Volume & Issue: Volume 5, Issue 11

Page(s): 538 - 541
Article Preview & Download

Share This Article

Go To Issue

Call For Paper

Volume 7 Issue 9

Last Date 25 February 2020

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Email: editor@ijirt.org
Website: ijirt.org