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Spatial multiplexing and channel statistics-based RF pre-processing for antenna selection

Sudarshan, P; Mehta, N B; Molisch, Andreas LU and Zhang, J (2004) IEEE Global Communications Conference (GLOBECOM), 2004 In IEEE Global Telecommunications Conference, GLOBECOM '04. 6. p.3947-3951
Abstract
For a multiple input multiple output system, antenna selection reduces complexity at the expense of performance. In this paper, we propose two novel RF pre-processing architectures that significantly improve the performance of antenna selection, while marginally increasing the complexity. These architectures introduce an RF pre-processing matrix, M, that multiplies the vector of incoming signals prior to downconversion. The elements of M use only the knowledge of the channel statistics. In the first architecture, M outputs a reduced number of streams - an explicit selection algorithm is therefore not required. In the second architecture, the number of output streams equals the number of input streams, and the reduction of the number of... (More)
For a multiple input multiple output system, antenna selection reduces complexity at the expense of performance. In this paper, we propose two novel RF pre-processing architectures that significantly improve the performance of antenna selection, while marginally increasing the complexity. These architectures introduce an RF pre-processing matrix, M, that multiplies the vector of incoming signals prior to downconversion. The elements of M use only the knowledge of the channel statistics. In the first architecture, M outputs a reduced number of streams - an explicit selection algorithm is therefore not required. In the second architecture, the number of output streams equals the number of input streams, and the reduction of the number of streams is achieved by a selection switch that uses instantaneous channel state information. We show that the optimal pre-processing receiver projects the received signal along the eigenvectors of the correlation matrix. In a correlated channel, both these architectures significantly outperform conventional antenna selection. We also develop a beam-pattern based intuition and compare the performance of our scheme to other RF preprocessing schemes previously proposed in the literature. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
MIMO systems, antenna radiation patterns, array signal processing, correlation methods, diversity reception, eigenvalues and eigenfunctions, multiplexing
in
IEEE Global Telecommunications Conference, GLOBECOM '04.
volume
6
pages
3947 - 3951
conference name
IEEE Global Communications Conference (GLOBECOM), 2004
external identifiers
  • Scopus:18144403505
ISBN
0-7803-8794-5
DOI
10.1109/GLOCOM.2004.1379108
language
English
LU publication?
yes
id
96c81a4a-6454-4628-aec7-74fa29ccc933 (old id 600640)
date added to LUP
2007-12-06 10:42:11
date last changed
2016-10-13 05:03:35
@misc{96c81a4a-6454-4628-aec7-74fa29ccc933,
  abstract     = {For a multiple input multiple output system, antenna selection reduces complexity at the expense of performance. In this paper, we propose two novel RF pre-processing architectures that significantly improve the performance of antenna selection, while marginally increasing the complexity. These architectures introduce an RF pre-processing matrix, M, that multiplies the vector of incoming signals prior to downconversion. The elements of M use only the knowledge of the channel statistics. In the first architecture, M outputs a reduced number of streams - an explicit selection algorithm is therefore not required. In the second architecture, the number of output streams equals the number of input streams, and the reduction of the number of streams is achieved by a selection switch that uses instantaneous channel state information. We show that the optimal pre-processing receiver projects the received signal along the eigenvectors of the correlation matrix. In a correlated channel, both these architectures significantly outperform conventional antenna selection. We also develop a beam-pattern based intuition and compare the performance of our scheme to other RF preprocessing schemes previously proposed in the literature.},
  author       = {Sudarshan, P and Mehta, N B and Molisch, Andreas and Zhang, J},
  isbn         = {0-7803-8794-5},
  keyword      = {MIMO systems,antenna radiation patterns,array signal processing,correlation methods,diversity reception,eigenvalues and eigenfunctions,multiplexing},
  language     = {eng},
  pages        = {3947--3951},
  series       = {IEEE Global Telecommunications Conference, GLOBECOM '04.},
  title        = {Spatial multiplexing and channel statistics-based RF pre-processing for antenna selection},
  url          = {http://dx.doi.org/10.1109/GLOCOM.2004.1379108},
  volume       = {6},
  year         = {2004},
}