DocumentCode :
126290
Title :
Stochastic modelling of LOS double-directional channel in spherical wave domain — Concept, formulation and validation
Author :
Yang Miao ; Haneda, Katsuyuki ; Minseok Kim ; Takada, Jun-ichi
Author_Institution :
Dept. of Int. Dev. Eng., Tokyo Inst. of Technol., Tokyo, Japan
fYear :
2014
fDate :
16-23 Aug. 2014
Firstpage :
1
Lastpage :
1
Abstract :
Double-directional channel is to de-embed antennas from both ends of a MIMO system, and to describe the propagation phenomenon. Double-directional channel model in spherical wave domain [1] is intuitive for antenna de-embedding, and its input of antenna part is simply the coefficients of spherical wave expansion [2] of radiation pattern. Besides, it is antenna-friendly because the truncation of channel model can be determined by antenna size. Empirically, transmission engineers prefer stochastic channel description; there is a need of antenna de-embedded stochastic description, which then enables the performance evaluation of different antennas in certain propagation environment through antenna-channel recombination. This paper provides the concept, formulation and validation of stochastic modelling of double-directional channel in spherical wave domain for LOS scenario where the MIMO channel can be described as the sum of a dominant and fading part. Firstly, the statistical parameters of double-directional channel in spherical wave domain are studied by using the LOS channel model parameters in plane wave domain, based on the explicit relationship of channel model in spherical wave domain and the generating model in plane wave domain [3]. The statistical characteristics of mode-to-mode links [1], i.e. the entries of model, for LOS scenario are summarized, such as the imbalanced average power, the Ricean distributed envelope with different K-factor for different entry, and the correlation of its dominant part and fading part. Secondly, according to the statistical characteristics, a stochastic modelling of LOS double-directional channel in spherical wave domain is proposed, where the model inputs can be derived from samples of channel response. The proposed modelling avoids the use of channel model parameters in plane wave domain, and intends for antenna de-embedding and antenna-channel recombination which are sheer actions in spherical wave domain. Moreover, the a- propriate array configuration for antenna de-embedding and antenna-channel recombination is discussed respectively. Finally, the proposed stochastic modelling is validated by simulation. Channel responses embedding spherical array with proposed configuration are obtained by the generating model [3] in the very beginning. The statistical parameters are calculated from antenna de-embedded channel responses, and then double-directional channel model in spherical wave domain is generated by the proposed stochastic model. The de-embedded stochastic double-directional channel models are recombined with spherical and circular array respectively, to obtain the synthesized channel responses. The cumulative distribution functions of large-scale gain, channel capacity, and eigenvalues of synthesized channel responses are compared with that of the referenced responses which can be obtained by the generating model.
Keywords :
MIMO communication; antenna radiation patterns; statistical analysis; wireless channels; LOS double directional channel; MIMO channel; MIMO system; antenna channel recombination; antenna radiation pattern; antenna size; channel model parameters; channel model truncation; double directional channel; mode-to-mode links; plane wave domain; spherical wave domain concept; spherical wave domain formulation; spherical wave domain validation; spherical wave expansion; statistical characteristics; statistical parameters; stochastic channel description; stochastic modelling; Antenna radiation patterns; Channel models; MIMO; Stochastic processes; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/URSIGASS.2014.6929656
Filename :
6929656
Link To Document :
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