Reinforcement learning-based dynamic band and channel selection in cognitive radio ad-hoc networks

Reinforcement learning-based dynamic band and channel selection in cognitive radio ad-hoc networks

Abstract In cognitive radio (CR) ad-hoc network, the characteristics of the frequency resources that vary with the time and geographical location need to be considered in order to efficiently use them. Environmental statistics, such as an available transmission opportunity and data rate for each cha...

תיאור מלא

מידע ביבליוגרפי
Main Authors: Sung-Jeen Jang, Chul-Hee Han, Kwang-Eog Lee, Sang-Jo Yoo
פורמט: Article
שפה:English
יצא לאור: SpringerOpen 2019-05-01
סדרה:EURASIP Journal on Wireless Communications and Networking
נושאים:
Reinforcement learning
Cognitive radio
Ad-hoc network
Q-learning
Fairness
גישה מקוונת:http://link.springer.com/article/10.1186/s13638-019-1433-1

פריטים דומים

פריטים דומים