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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Ping-Heng Kuo, Jia-Hao Wu, Yu-Tao Hsieh, Pang-An Ting
Format: Conference Proceeding
Language:English
Subjects:
Approximation methods
Channel capacity
Eigenvalues and eigenfunctions
Fading
MIMO
Random variables
Transceivers
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1090-3038
2577-2465
DOI:10.1109/VETECF.2010.5594349