TY - GEN
T1 - Two novel learning algorithms to solve the spectrum sharing problem in cognitive radio networks
AU - Zhang, Jing
AU - Kountanis, Dionysios I.
AU - Al-Fuqaha, Ala
PY - 2012
Y1 - 2012
N2 - To improve the spectral efficiency in cognitive radio networks, it is essential for cognitive radio users to be equipped with intelligent learning capability. Many different learning methods have been applied in different kinds of cognitive radio network models. This study presents two novel learning algorithms that can be applied to cognitive radio network models based on IEEE802.22. One is a no-regret learning method and the other is a reinforcement learning algorithm. The experimental results show that both methods can be effectively applied in cognitive radio networks. Moreover, the reinforcement learning out performs the no-regret learning method.
AB - To improve the spectral efficiency in cognitive radio networks, it is essential for cognitive radio users to be equipped with intelligent learning capability. Many different learning methods have been applied in different kinds of cognitive radio network models. This study presents two novel learning algorithms that can be applied to cognitive radio network models based on IEEE802.22. One is a no-regret learning method and the other is a reinforcement learning algorithm. The experimental results show that both methods can be effectively applied in cognitive radio networks. Moreover, the reinforcement learning out performs the no-regret learning method.
UR - http://www.scopus.com/inward/record.url?scp=84864272597&partnerID=8YFLogxK
U2 - 10.1109/ICSAI.2012.6223315
DO - 10.1109/ICSAI.2012.6223315
M3 - Conference contribution
AN - SCOPUS:84864272597
SN - 9781467301992
T3 - 2012 International Conference on Systems and Informatics, ICSAI 2012
SP - 1472
EP - 1476
BT - 2012 International Conference on Systems and Informatics, ICSAI 2012
T2 - 2012 International Conference on Systems and Informatics, ICSAI 2012
Y2 - 19 May 2012 through 20 May 2012
ER -