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Optimal signaling and selection verification for single transmit-antenna selection

Li, Yabo; Mehta, Neelesh B; Molisch, Andreas LU and Zhang, Jinyun (2007) In IEEE Transactions on Communications 55(4). p.778-789
Abstract
In marked contrast with the ideal error-free feedback assumption that is common in the literature, practical systems are likely to have severely bandwidth-limited, error-prone feedback channels. We consider the scenario where feedback from the receiver is used by the transmitter to select the best antenna, out of many available antennas, for data transmission. Feedback errors cause the transmitter to select an antenna different from the one signaled by the receiver. We show that optimizing the signaling assignment, which maps the antenna indices to the feedback codewords, improves performance without introducing any additional redundancy. For a system that uses error-prone feedback to transmit quadrature-phase-shift-keying-modulated data... (More)
In marked contrast with the ideal error-free feedback assumption that is common in the literature, practical systems are likely to have severely bandwidth-limited, error-prone feedback channels. We consider the scenario where feedback from the receiver is used by the transmitter to select the best antenna, out of many available antennas, for data transmission. Feedback errors cause the transmitter to select an antenna different from the one signaled by the receiver. We show that optimizing the signaling assignment, which maps the antenna indices to the feedback codewords, improves performance without introducing any additional redundancy. For a system that uses error-prone feedback to transmit quadrature-phase-shift-keying-modulated data from a single antenna selected from many available spatially correlated antennas, we derive closed-form approximations for the data symbol error probability for an arbitrary number of receive antennas. We use these to systematically find the optimal signaling assignments using a low-complexity algorithm. The optimal signaling is intimately coupled to how the receiver performs selection verification, i.e., how it decodes the data signal when, due to feedback errors, it does not always know which antenna was used for data transmission. We show that ignoring feedback errors at the receiver can lead to an unacceptable performance degradation, and develop optimal and suboptimal, blind and nonblind selection-verification methods. With a small side-information overhead, nonblind verification approaches the ideal perfect selection-verification performance. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
receiving antennas, radio receivers, multiple-input multiple-output (MIMO) systems, maximum a posteriori (MAP) estimation, diversity reception, detection, combinatorial optimization, antenna arrays, antenna selection, transmitting antennas, spatial correlation, selection verification
in
IEEE Transactions on Communications
volume
55
issue
4
pages
778 - 789
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000246034300017
  • scopus:34247236591
ISSN
0090-6778
DOI
10.1109/TCOMM.2007.892461
language
English
LU publication?
yes
id
59718a57-c6f3-4b73-869e-79b8de4cb333 (old id 663115)
date added to LUP
2007-12-14 14:31:20
date last changed
2017-01-01 06:47:13
@article{59718a57-c6f3-4b73-869e-79b8de4cb333,
  abstract     = {In marked contrast with the ideal error-free feedback assumption that is common in the literature, practical systems are likely to have severely bandwidth-limited, error-prone feedback channels. We consider the scenario where feedback from the receiver is used by the transmitter to select the best antenna, out of many available antennas, for data transmission. Feedback errors cause the transmitter to select an antenna different from the one signaled by the receiver. We show that optimizing the signaling assignment, which maps the antenna indices to the feedback codewords, improves performance without introducing any additional redundancy. For a system that uses error-prone feedback to transmit quadrature-phase-shift-keying-modulated data from a single antenna selected from many available spatially correlated antennas, we derive closed-form approximations for the data symbol error probability for an arbitrary number of receive antennas. We use these to systematically find the optimal signaling assignments using a low-complexity algorithm. The optimal signaling is intimately coupled to how the receiver performs selection verification, i.e., how it decodes the data signal when, due to feedback errors, it does not always know which antenna was used for data transmission. We show that ignoring feedback errors at the receiver can lead to an unacceptable performance degradation, and develop optimal and suboptimal, blind and nonblind selection-verification methods. With a small side-information overhead, nonblind verification approaches the ideal perfect selection-verification performance.},
  author       = {Li, Yabo and Mehta, Neelesh B and Molisch, Andreas and Zhang, Jinyun},
  issn         = {0090-6778},
  keyword      = {receiving antennas,radio receivers,multiple-input multiple-output (MIMO) systems,maximum a posteriori (MAP) estimation,diversity reception,detection,combinatorial optimization,antenna arrays,antenna selection,transmitting antennas,spatial correlation,selection verification},
  language     = {eng},
  number       = {4},
  pages        = {778--789},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Communications},
  title        = {Optimal signaling and selection verification for single transmit-antenna selection},
  url          = {http://dx.doi.org/10.1109/TCOMM.2007.892461},
  volume       = {55},
  year         = {2007},
}