Spatial multiplexing and channel statistics-based RF pre-processing for antenna selection
(2004) IEEE Global Communications Conference (GLOBECOM), 2004 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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/600640
- author
- Sudarshan, P ; Mehta, N B ; Molisch, Andreas LU and Zhang, J
- organization
- publishing date
- 2004
- 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
- host publication
- IEEE Global Telecommunications Conference, GLOBECOM '04.
- volume
- 6
- pages
- 3947 - 3951
- conference name
- IEEE Global Communications Conference (GLOBECOM), 2004
- conference location
- Dallas, TX, United States
- conference dates
- 2004-11-29 - 2004-12-03
- 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
- 2016-04-04 14:40:48
- date last changed
- 2022-03-08 17:32:25
@inproceedings{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}},
booktitle = {{IEEE Global Telecommunications Conference, GLOBECOM '04.}},
isbn = {{0-7803-8794-5}},
keywords = {{MIMO systems; antenna radiation patterns; array signal processing; correlation methods; diversity reception; eigenvalues and eigenfunctions; multiplexing}},
language = {{eng}},
pages = {{3947--3951}},
title = {{Spatial multiplexing and channel statistics-based RF pre-processing for antenna selection}},
url = {{http://dx.doi.org/10.1109/GLOCOM.2004.1379108}},
doi = {{10.1109/GLOCOM.2004.1379108}},
volume = {{6}},
year = {{2004}},
}