Joint antenna subset selection for spatial multiplexing systems based on statistical and instantaneous selection criteria
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作者:
Lee, Donghun
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Elect & Telecommun Res Inst, Seoul 305700, South KoreaElect & Telecommun Res Inst, Seoul 305700, South Korea
Lee, Donghun
[1
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Nooshabadi, Saeid
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Michigan Technol Univ, Dept Elect & Comp Engn, Houghton, MI 49931 USAElect & Telecommun Res Inst, Seoul 305700, South Korea
Nooshabadi, Saeid
[2
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Kim, Kiseon
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Gwangju Inst Sci & Technol, Dept Nanobio Mat & Elect, Sch Informat & Commun, Kwangju 500712, South KoreaElect & Telecommun Res Inst, Seoul 305700, South Korea
Kim, Kiseon
[3
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机构:
[1] Elect & Telecommun Res Inst, Seoul 305700, South Korea
[2] Michigan Technol Univ, Dept Elect & Comp Engn, Houghton, MI 49931 USA
[3] Gwangju Inst Sci & Technol, Dept Nanobio Mat & Elect, Sch Informat & Commun, Kwangju 500712, South Korea
While the joint transmit/receive (Tx/Rx) AnSS with exhaustive search is the best solution for error rate minimization, its complexity makes it difficult for implementation on practical systems. To overcome this disadvantage, we propose a two-stage AnSS algorithm for the spatial multiplexing (SM) in the multiple input multiple output (MIMO) system, which employs both the statistical (i.e., average Euclidean distance, AED) and instantaneous selection criteria (i.e., modified instantaneous Euclidean distance, M-IED). The proposed algorithm reduces the computational complexity by decoupling the joint Tx/Rx selection into two separate selections of the numbers of Tx/Rx antennas and antenna subset, respectively. We show that the proposed AED criterion can be implemented through a simple look up table (LUT), thereby significantly reducing the computational complexity. Simulation results and computational complexity comparisons, prove that the proposed two-stage AnSS algorithm for the SM scheme reduces the hardware and computational complexity without any loss of the signal-to-noise ratio (SNR) and the diversity order, compared to the exhaustive search method. (C) 2011 Elsevier GmbH. All rights reserved.
机构:
Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R ChinaSun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China
Zhao, Sai
Li, Quanzhong
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Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R ChinaSun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China
Li, Quanzhong
Zhang, Qi
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Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R ChinaSun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China
Zhang, Qi
Qin, Jiayin
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Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R ChinaSun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China