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J-GLOBAL ID：202002249330735748
Reference number：20A1477657
LUT-based Approximate Message Passing Using Information Bottleneck for Massive MIMO Detection
大規模MIMO検出のための情報ボトルネックに基づく近似メッセージ伝搬法のテーブル化に関する一検討
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Author (4)：
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Material：
Volume：
119
Issue：
448(RCS2019 320-408)(Web)
Page：
81-86 (WEB ONLY)
Publication year：
Feb. 26, 2020
JST Material Number：
S0532B
ISSN：
0913-5685
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
ENGLISH (EN)
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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Mobile communication
Reference (12)：
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A. Chockalingam and B.S. Rajan, Large MIMO systems, Cambridge University Press, 2014.
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D.L. Donoho, A. Maleki, and A. Montanari, “Message-passing algorithms for compressed sensing,” Proceedings of the National Academy of Sciences, vol.106, no.45, pp.18914-18919, 2009.
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M. Bayati and A. Montanari, “The dynamics of message passing on dense graphs, with applications to compressed sensing,” IEEE Transactions on Information Theory, vol.57, no.2, pp.764-785, 2011.
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T.P. Minka, “Expectation propagation for approximate Bayesian inference,” in Proc. the Seventeenth conference on Uncertainty in artificial intelligence, pp.362-369, 2001.
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A. Chockalingam, “Low-complexity algorithms for large-MIMO detection,” in Proc. ISCCSP 2010, Limassol, Cyprus, pp.1-6, Mar. 2010.
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