Presentation 2006/10/12
On Statistical Distribution of the Largest Eigenvalue of Channel Correlation Matrice in MIMO Multi-Keyhole Environment
Makoto TSURUTA, Tetsuki TANIGUCHI, Yoshio KARASAWA,
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Abstract(in English) MIMO leads to dramatic improvement in channel capacity and link reliability of wireless systems. However, a MIMO channel has only one degree of freedom in the keyhole environment. As this result, it reduces achievable channel capacity and link quality. This paper proposes the MIMO repeater system that is mitigated to reduce MIMO channel capacity, which can provide a multi-stream transmission in the multi-keyhole environment. Limit of the transmission performance of MIMO is given singular value or eigenvalue essentially, hence we consider a representation by an approximate equation of the probability density function of the largest eigenvalue connecting to the theory of space diversity. It is shown that calculated values based on the proposed method agree well with simulated values.
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Keyword(in English) Multi-keyhole / Keyhole / MIMO repeater system / Eigenvalue
Paper # A・P2006-82
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Committee AP
Conference Date 2006/10/12(1days)
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Registration To Antennas and Propagation (A・P)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Statistical Distribution of the Largest Eigenvalue of Channel Correlation Matrice in MIMO Multi-Keyhole Environment
Sub Title (in English)
Keyword(1) Multi-keyhole
Keyword(2) Keyhole
Keyword(3) MIMO repeater system
Keyword(4) Eigenvalue
1st Author's Name Makoto TSURUTA
1st Author's Affiliation Advanced Wireless Communication research Center (AWCC), The Univ. of Electro-Communications()
2nd Author's Name Tetsuki TANIGUCHI
2nd Author's Affiliation Advanced Wireless Communication research Center (AWCC), The Univ. of Electro-Communications
3rd Author's Name Yoshio KARASAWA
3rd Author's Affiliation Advanced Wireless Communication research Center (AWCC), The Univ. of Electro-Communications
Date 2006/10/12
Paper # A・P2006-82
Volume (vol) vol.106
Number (no) 302
Page pp.pp.-
#Pages 6
Date of Issue