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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/91634


    Title: Comparison of Dynamic Differential Evolution and Genetic Algorithm for MIMO-WLAN Transmitter Antenna Location in Indoor Environment
    Authors: Liao, Shu-Han;Chiu, Chien-Ching;Ho, Min-Hui
    Contributors: 淡江大學電機工程學系
    Keywords: MIMO-WLAN;DDE;GA;Channel capacity
    Date: 2013-07-01
    Issue Date: 2013-07-23 12:52:55 (UTC+8)
    Publisher: New York: Springer New York LLC
    Abstract: A novel optimization procedure for the location of the transmitter in 3×33×3 multiple input multiple output (MIMO) wireless local area network (WLAN) wireless communication systems is presented. The optimal antenna location for maximizing the channel capacity is searched by dynamic differential evolution (DDE) and genetic algorithm (GA). There are two different receiver locations considered in the simulation. The receivers are located with uniform intervals distribution either on the tables or in the whole indoor environment. Numerical results show that the performance for increasing channel capacity by DDE algorithm is better than that by GA.
    Relation: Wireless Personal Communications 71(4), pp.2677–2691
    DOI: 10.1007/s11277-012-0963-1
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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