MIMO space-time correlation model for microcellular environments

被引:0
|
作者
Rad, HS [1 ]
Gazor, S [1 ]
机构
[1] Queens Univ, Dept Elect & Comp Engn, Kingston, ON K7L 3N6, Canada
关键词
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this paper we present a comprehensive cross-correlation model for a Multiple-Input Multiple-Output Rayleigh fading channel in an isotropic scattering environment. The scattering environment is assumed to be a microcellular media with sufficient number of scatterers. This implies uniformly distributed angle of departure and angle of arrival either at the transmitter or at the receiver. Simple and reasonable assumptions are made for various relevant physical parameters, such as exponential or normal time-delay distribution and uniform phase change in the receiving waveform. A novel method of modeling is suggested to consider a geometry for the local scatterers. This approach establishes a mathematical relation between the time-delay and the channel gain associated to each dominant propagation path, and uses appropriate probability density function (pdf) for the time-delay profile. This flexible method allows us to characterize a wide range of propagation environments. Cross-correlation function between channels appears to be a multiplication of tow Bessel functions, and two other multiplicative terms. Bessel functions represent the Doppler effect, the carrier frequencies, and the spatial separation, either at the transmitter or at the receiver. The effect of the carrier frequencies also appears on the other terms. Interestingly, the last two terms are eta/2-order derivative of the moment generating function of the delay profile at two carrier frequencies, respectively, where eta is the environment pathloss exponent. Overall, the model has a closed form and is a generalization of the Clark model.
引用
收藏
页码:125 / 129
页数:5
相关论文
共 50 条
  • [31] A Binary Space-Time Code for MIMO Systems
    Song, Bongseop
    Kim, Nanshik
    Park, Hyuncheol
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2012, 11 (04) : 1350 - 1357
  • [32] Space-time MIMO receiver with constrained optimization
    Zhang, JH
    Sayeed, A
    Van Veen, B
    2003 IEEE 58TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS1-5, PROCEEDINGS, 2003, : 532 - 536
  • [33] Parameter identifiability of space-time MIMO radar
    Hu, Zhenggang
    Peng, Jun
    Luo, Kai
    Jiang, Tao
    DIGITAL SIGNAL PROCESSING, 2019, 90 : 10 - 17
  • [34] Space-time coding for MIMO Kronecker channels
    Rivera-Alvarez, VJ
    Kontorovitch, VY
    2004 1ST INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ICEEE), 2004, : 646 - 651
  • [35] Space-Time Coding Schemes for Optical MIMO
    Chen, Yejian
    Schmalen, Laurent
    Buelow, Henning
    Leven, Andreas
    ten Brink, Stephan
    2011 37TH EUROPEAN CONFERENCE AND EXHIBITION ON OPTICAL COMMUNICATIONS (ECOC 2011), 2011,
  • [36] The Kronecker Space-Time MIMO Network Code
    Vazquez-Castro, M. A.
    2013 5TH INTERNATIONAL CONGRESS ON ULTRA MODERN TELECOMMUNICATIONS AND CONTROL SYSTEMS AND WORKSHOPS (ICUMT), 2013, : 164 - 170
  • [37] Space-Time Correlation for Three-Dimensional MIMO Channel Model Using Leaky Coaxial Cables in Rectangular Tunnel
    Zhang, Kai
    Zhang, Fangqi
    Zheng, Guoxin
    INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, 2020, 2020
  • [38] SPACE-TIME CORRELATION OF SEA REVERBERATION
    ANTONOV, VP
    OLSHEVSK.VV
    SOVIET PHYSICS ACOUSTICS-USSR, 1966, 11 (03): : 252 - &
  • [39] Space-time spreading MIMO system using canonical precoding tensor model
    de Almeida, Andre L. F.
    Favier, Gerard
    Fernandes, Carlos A. R.
    Mota, Joao C. M.
    CONFERENCE RECORD OF THE FORTY-FIRST ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1-5, 2007, : 470 - +
  • [40] Space-time Behavior based correlation
    Shechtman, E
    Irani, M
    2005 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2005, : 405 - 412