Presentation 2013-03-14
Performance improvement with channel ranking and cutting the symbol candidate branchs for the complexity reducing sequential decision with QRM-MLD
Tomoki YOSHIMURA, Yuta IDA, Chang-Jun AHN, Tatsuya OMORI, Ken-ya HASHIMOTO,
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Abstract(in English) Recently, the wireless communication technology is required to carry a large amount of digital infer- mation with spread of the mobile phone and wireless LAN. Space Division Multiplex (SDM)system has actively studied for increasing the channel capacity. However, SDM requires a signal identifying technique at the receiver in order to identify each transmission stream. Although Maximum Likelihood Detection (MLD)shows the best BER performance, it requires prohibitively large amount of computation to implement at the receiver. To mitigate the above mentioned problems, we have proposed the sequential decision algorithm for QRM-MLD in order to reduce the computation without performance deterioration. However, the number of computation of the proposed system is l by 10 as much as conventional MLD and still remained the BER degradation. Thus, for improving the performance of the proposed system, we propose the branch cutting method with channel ranking. Prom the simulation results, the number of the proposed method computation is aproximately an half as much ELS the conventional sequential decision algorithm.
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Keyword(in English) MIMO-OFDM / MLD / QR decomposition
Paper # CAS2012-98,SIP2012-129,CS2012-104
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Committee CAS
Conference Date 2013/3/7(1days)
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Registration To Circuits and Systems (CAS)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Performance improvement with channel ranking and cutting the symbol candidate branchs for the complexity reducing sequential decision with QRM-MLD
Sub Title (in English)
Keyword(1) MIMO-OFDM
Keyword(2) MLD
Keyword(3) QR decomposition
1st Author's Name Tomoki YOSHIMURA
1st Author's Affiliation Faculty of Engineering, Chiba University()
2nd Author's Name Yuta IDA
2nd Author's Affiliation Faculty of Information science, Hiroshima City University
3rd Author's Name Chang-Jun AHN
3rd Author's Affiliation Faculty of Engineering, Chiba University
4th Author's Name Tatsuya OMORI
4th Author's Affiliation Faculty of Engineering, Chiba University
5th Author's Name Ken-ya HASHIMOTO
5th Author's Affiliation Faculty of Engineering, Chiba University
Date 2013-03-14
Paper # CAS2012-98,SIP2012-129,CS2012-104
Volume (vol) vol.112
Number (no) 484
Page pp.pp.-
#Pages 6
Date of Issue