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    Please use this identifier to cite or link to this item: http://ir.nknu.edu.tw/ir/handle/987654321/24336


    題名: Cross Entropy Algorithm for Joint Precoding and Transmit Antenna Selection in Multiuser MIMO Systems With Limited Feedback
    Authors: 陳榮杰
    Min-Han Chiu;Yi-Syun Yang;Jung-Chieh Chen;Chih-Peng Li
    貢獻者: 光電與通訊工程學系
    Date: 2011-10-18
    Issue Date: 2015-06-04 10:01:36 (UTC+8)
    Abstract: This paper considers the joint precoding and transmit antenna selection to reduce the hardware cost such as the radio-frequency (RF) chains associated with antennas in the downlink of multi-user multi-input multi-output (MU-MIMO) systems with limited feedback. The joint precoding and transmit antenna selection algorithm requires an exhaustive search (ES) of all possible combinations and permutations to find the optimum solution at transmitter, thus resulting in extremely high computational complexity. In order to reduce the computational load while still maximizing channel capacity, the cross entropy
    (CE) method is addressed to determine sub-optimum solution. Compared with the conventional genetic algorithm (GA) and random search method, simulation results show that the CE method provides not only a better performance but also a lower computational complexity.
    關聯: Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2011), Xi'an, China, October 18-21, 2011
    Appears in Collections:[光電與通訊工程學系] 會議論文
    [光通系] 陳榮杰

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