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Çмú´ëȸ ÇÁ·Î½Ãµù

Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸°úÇÐȸ Çмú´ëȸ > 2013³â Ãß°è Çмú´ëȸ

2013³â Ãß°è Çмú´ëȸ

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ÇѱÛÁ¦¸ñ(Korean Title) Learning to Estimate Traffic Matrix for M2M Management
¿µ¹®Á¦¸ñ(English Title) Learning to Estimate Traffic Matrix for M2M Management
ÀúÀÚ(Author) Rossi Kamal   Mi Jung Choi   Choong Seon Hong  
¿ø¹®¼ö·Ïó(Citation) VOL 40 NO. 02 PP. 0979 ~ 0981 (2013. 11)
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(Korean Abstract)
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(English Abstract)
In this paper, first we have formulated M2M service provider¡¯s business goal as parameter estimation p rob lem. T hen, w e have d erived B ayesian lower b ound b ased o n Van Tree Inequality to estimate traffic matrix for M2M management. At last, we have performed numerical analysis to show how devised mechanism outperforms non-Bayesian approach in terms of Mean Square Error (MSE).
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