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Cluster parameters for time-variant MIMO channel models

Czink, Nicolai; Tian, Ruiyuan LU ; Wyne, Shurjeel LU ; Eriksson, Gunnar; Zemen, Thomas; Ylitalo, Juha; Tufvesson, Fredrik LU and Molisch, Andreas LU (2007) European Conference on Antennas and Propagation (EuCAP) 2007 In Proc. European Conference on Antennas and Propagation (EuCAP) 2007
Abstract
The next challenge for MIMO radio channel models is to

simulate the time-variant nature of the channel correctly.

Cluster-based MIMO channel models are well suited for

this problem, however they currently lack an accurate parameterization of the time-variant cluster parameters.

In this paper we identify and track clusters from three differentmeasurements conducted in an indoor, a sub-urban,

and a rural environment. The time-variant cluster parameters of interest are: (i) cluster movement, (ii) change of cluster spreads, (iii) cluster lifetimes, and birth and death rates of cluster. We find that clusters show significant movement in parameter space depending on the environment. The spreads of... (More)
The next challenge for MIMO radio channel models is to

simulate the time-variant nature of the channel correctly.

Cluster-based MIMO channel models are well suited for

this problem, however they currently lack an accurate parameterization of the time-variant cluster parameters.

In this paper we identify and track clusters from three differentmeasurements conducted in an indoor, a sub-urban,

and a rural environment. The time-variant cluster parameters of interest are: (i) cluster movement, (ii) change of cluster spreads, (iii) cluster lifetimes, and birth and death rates of cluster. We find that clusters show significant movement in parameter space depending on the environment. The spreads of individual clusters change rather randomly over their lifetime, with a standard deviation up to 150% of their mean spread. The cluster lifetime is approximately exponentially distributed, however additionally one has to account for long-living clusters coming from the line-of-sight path or from major reflectors. (Less)
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type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Proc. European Conference on Antennas and Propagation (EuCAP) 2007
conference name
European Conference on Antennas and Propagation (EuCAP) 2007
external identifiers
  • Scopus:70349784723
language
English
LU publication?
no
id
ace960a9-f534-4d74-9610-b0d12493aa18 (old id 961465)
alternative location
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4458603&isnumber=4458235
date added to LUP
2008-01-31 10:36:16
date last changed
2016-10-13 04:53:40
@misc{ace960a9-f534-4d74-9610-b0d12493aa18,
  abstract     = {The next challenge for MIMO radio channel models is to<br/><br>
simulate the time-variant nature of the channel correctly.<br/><br>
Cluster-based MIMO channel models are well suited for<br/><br>
this problem, however they currently lack an accurate parameterization of the time-variant cluster parameters.<br/><br>
In this paper we identify and track clusters from three differentmeasurements conducted in an indoor, a sub-urban,<br/><br>
and a rural environment. The time-variant cluster parameters of interest are: (i) cluster movement, (ii) change of cluster spreads, (iii) cluster lifetimes, and birth and death rates of cluster. We find that clusters show significant movement in parameter space depending on the environment. The spreads of individual clusters change rather randomly over their lifetime, with a standard deviation up to 150% of their mean spread. The cluster lifetime is approximately exponentially distributed, however additionally one has to account for long-living clusters coming from the line-of-sight path or from major reflectors.},
  author       = {Czink, Nicolai and Tian, Ruiyuan and Wyne, Shurjeel and Eriksson, Gunnar and Zemen, Thomas and Ylitalo, Juha and Tufvesson, Fredrik and Molisch, Andreas},
  language     = {eng},
  series       = {Proc. European Conference on Antennas and Propagation (EuCAP) 2007},
  title        = {Cluster parameters for time-variant MIMO channel models},
  year         = {2007},
}