• DocumentCode
    2461912
  • Title

    Statistical Distributions for Link Gain and Capacity of MIMO-GMD Transceivers in Rayleigh Fading Channels

  • Author

    Kuo, Ping-Heng ; Wu, Jia-Hao ; Hsieh, Yu-Tao ; Ting, Pang-An

  • Author_Institution
    Inf. & Commun. Lab., Ind. Technol. Res. Inst. (ITRI), Hsinchu, Taiwan
  • fYear
    2010
  • fDate
    6-9 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Geometric mean decomposition (GMD) has been proposed as an elegant tool for MIMO transceiver architecture design. Under the ideal assumptions, MIMO-GMD schemes can realize multiple spatial sub-channels with identical gains. The main goal of this paper is to provide analytical distribution functions for sub-channels gains and capacities of MIMO-GMD schemes. In particular, we have derived closed-form results for MIMO-GMD transceivers with two spatial streams. Furthermore, we show that the sub-channel gains for cases with arbitrary number of spatial streams can be approximated by Gamma random variables with excellent accuracy. Additionally, some practical applications of these results are also presented in this paper.
  • Keywords
    MIMO communication; Rayleigh channels; statistical distributions; transceivers; Gamma random variables; MIMO-GMD transceivers; Rayleigh fading channels; geometric mean decomposition; link capacity; link gain; statistical distributions; Approximation methods; Channel capacity; Eigenvalues and eigenfunctions; Fading; MIMO; Random variables; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
  • Conference_Location
    Ottawa, ON
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-3573-9
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VETECF.2010.5594349
  • Filename
    5594349