Paper Abstract and Keywords |
Presentation |
2010-10-27 14:20
Compressed Channel Sensing for Two-way Relay Network Guan Gui (Univ. of Electrical Science and Tech. of China/Tohoku Univ.), Qun Wan (Univ. of Electrical Science and Tech. of China), Fumiyuki Adachi (Tohoku Univ.) RCS2010-110 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Two-way relay network (TWRN) was introduced to realize high-data rate transmission and to improve spatial
diversity over the frequency-selective fading channel. However, channel state information (CSI) is needed due to the
requirement from coherent data detection and the self-data removal at terminals. Traditional training-based linear probing
techniques are able to achieve the accurate CSI by using enough training sequence. However, these methods may lead to a low
efficiency on the bandwidth due to that based on the implicit assumption of a rich underlying multipath, while neglected
inherent channel sparsity in the TWRN. Unlike the previous methods, we propose a compressed channel sensing method
(sometimes be called compressed sensing–based sparse channel estimation method) which exploits the sparse structure, and
hence provide significant improvements in MSE performance when compared with conventional LS-based linear channel
probing strategies in the TWRN. Simulation results confirm performance of the proposed method |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Compressed channel sensing (CCS) / two-way relay network (TWRN) / sparse channel estimation / Restricted Isometry Property (RIP) / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 110, no. 251, RCS2010-110, pp. 19-24, Oct. 2010. |
Paper # |
RCS2010-110 |
Date of Issue |
2010-10-20 (RCS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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RCS2010-110 |
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