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Çмú´ëȸ ÇÁ·Î½Ãµù

Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸°úÇÐȸ Çмú´ëȸ > 2012³â Ãß°è Çмú´ëȸ

2012³â Ãß°è Çмú´ëȸ

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Improving data transmission rate for SU in CR Network with multi-radio by using Q-learning method
¿µ¹®Á¦¸ñ(English Title) Improving data transmission rate for SU in CR Network with multi-radio by using Q-learning method
ÀúÀÚ(Author) Le Anh Tuan   Choong Seong Hong  
¿ø¹®¼ö·Ïó(Citation) VOL 39 NO. 2(D) PP. 0135 ~ 0136 (2012. 11)
Çѱ۳»¿ë
(Korean Abstract)
¿µ¹®³»¿ë
(English Abstract)
This paper concerns about handover problem of Secondary User (SU) in Cognitive Radio Network(CRN). A new scheme with optimal SU's handover is proposed to improve the data transmission rate in CRN with a multi-radio. Specifically, our problem is formulated as reinforcement learning approach (Q-learning) to maximize expected reward (data transmission rate) in a long term. Simulation results show the effectiveness of our proposed scheme.

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