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Channel Statistics-Based RF-Pre-Processing with Antenna Selection

Sudarshan, P; Mehta, N B; Molisch, Andreas LU and Zhang, J (2006) In IEEE Transactions on Wireless Communications 5(12). p.3501-3511
Abstract
We introduce two novel joint radio-frequency (RF)-baseband designs for receivers in a MIMO system with Nt transmit antennas, Nr receive antennas, but only L < Nr RF chains at the receiver. The joint design introduces an RF pre-processing matrix that processes the signals from the different antennas, and is followed by selection (if necessary), down-conversion, and further processing in the baseband. The schemes are similar to conventional antenna selection in that they use fewer RF chains than antenna elements, but achieve superior performance by exploiting the spatial correlation of the received signals. The first of our proposed designs uses an L x Nr RF pre-processing matrix that outputs only L streams followed by baseband signal... (More)
We introduce two novel joint radio-frequency (RF)-baseband designs for receivers in a MIMO system with Nt transmit antennas, Nr receive antennas, but only L < Nr RF chains at the receiver. The joint design introduces an RF pre-processing matrix that processes the signals from the different antennas, and is followed by selection (if necessary), down-conversion, and further processing in the baseband. The schemes are similar to conventional antenna selection in that they use fewer RF chains than antenna elements, but achieve superior performance by exploiting the spatial correlation of the received signals. The first of our proposed designs uses an L x Nr RF pre-processing matrix that outputs only L streams followed by baseband signal processing, and, thus, eliminates the need for a selection switch. The second one uses an Nr x Nr RF pre-processing matrix that outputs Nr streams and is followed by a switch that selects L streams for baseband signal processing. Both spatial diversity and spatial multiplexing systems are considered and the optimum pre-processing matrices are derived for all cases. To accommodate practical RF design constraints, which prefer a variable phase-shifter-based implementation, a sub-optimal phase approximation is also introduced. Performance better than conventional antenna selection and close to the full complexity receiver is observed in both single cluster and multi-cluster wireless channels. A beam-pattern-based geometric intuition is also developed to illustrate the effectiveness of the optimal solution. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
MIMO systems, antenna arrays, antenna selection, channel statistics, signal to noise ratio, information rates, phase shifters, spatial multiplexing, diversity methods
in
IEEE Transactions on Wireless Communications
volume
5
issue
12
pages
3501 - 3511
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000242982400024
  • scopus:33845634685
ISSN
1536-1276
DOI
10.1109/TWC.2006.04289
language
English
LU publication?
yes
id
c26d9afa-1787-4022-83bb-ecae51fb0988 (old id 600962)
date added to LUP
2007-12-10 14:15:58
date last changed
2019-10-08 02:08:01
@article{c26d9afa-1787-4022-83bb-ecae51fb0988,
  abstract     = {We introduce two novel joint radio-frequency (RF)-baseband designs for receivers in a MIMO system with Nt transmit antennas, Nr receive antennas, but only L &lt; Nr RF chains at the receiver. The joint design introduces an RF pre-processing matrix that processes the signals from the different antennas, and is followed by selection (if necessary), down-conversion, and further processing in the baseband. The schemes are similar to conventional antenna selection in that they use fewer RF chains than antenna elements, but achieve superior performance by exploiting the spatial correlation of the received signals. The first of our proposed designs uses an L x Nr RF pre-processing matrix that outputs only L streams followed by baseband signal processing, and, thus, eliminates the need for a selection switch. The second one uses an Nr x Nr RF pre-processing matrix that outputs Nr streams and is followed by a switch that selects L streams for baseband signal processing. Both spatial diversity and spatial multiplexing systems are considered and the optimum pre-processing matrices are derived for all cases. To accommodate practical RF design constraints, which prefer a variable phase-shifter-based implementation, a sub-optimal phase approximation is also introduced. Performance better than conventional antenna selection and close to the full complexity receiver is observed in both single cluster and multi-cluster wireless channels. A beam-pattern-based geometric intuition is also developed to illustrate the effectiveness of the optimal solution.},
  author       = {Sudarshan, P and Mehta, N B and Molisch, Andreas and Zhang, J},
  issn         = {1536-1276},
  keyword      = {MIMO systems,antenna arrays,antenna selection,channel statistics,signal to noise ratio,information rates,phase shifters,spatial multiplexing,diversity methods},
  language     = {eng},
  number       = {12},
  pages        = {3501--3511},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Wireless Communications},
  title        = {Channel Statistics-Based RF-Pre-Processing with Antenna Selection},
  url          = {http://dx.doi.org/10.1109/TWC.2006.04289},
  volume       = {5},
  year         = {2006},
}