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Rate of MIMO Systems with CSI at Transmitter and Receiver from Pilot-Aided Estimation

Mehta, N B; Digham, F; Molisch, Andreas LU and Zhang, J (2004) IEEE Vehicular Technology Conference, VTC Fall, 2004 In IEEE 60th Vehicular Technology Conference, VTC 2004-Fall. 3. p.1575-1579
Abstract
We consider realistic multiple input multiple output antenna systems operating over spatially colored channels with instantaneous, albeit imperfect, channel state information at the receiver and only covariance knowledge available at the transmitter. We focus on pilot-aided channel estimation in which the receiver uses minimum mean square error channel estimation. For such a setup, our goal is then to design both the pilot and data sequences optimally to maximize the information rates achievable over the channel. We first demonstrate that the estimation error cannot be modeled as additive white Gaussian noise. We adopt a lower bound on channel capacity with imperfect channel knowledge and show that an optimum design leads to a matching of... (More)
We consider realistic multiple input multiple output antenna systems operating over spatially colored channels with instantaneous, albeit imperfect, channel state information at the receiver and only covariance knowledge available at the transmitter. We focus on pilot-aided channel estimation in which the receiver uses minimum mean square error channel estimation. For such a setup, our goal is then to design both the pilot and data sequences optimally to maximize the information rates achievable over the channel. We first demonstrate that the estimation error cannot be modeled as additive white Gaussian noise. We adopt a lower bound on channel capacity with imperfect channel knowledge and show that an optimum design leads to a matching of the eigenspaces of the pilots and of the data to the eigenspace of the channel. Furthermore, the ranks of the pilot and data covariance matrices need to be equal, and the optimal training duration need only equal the above rank. The assignment of powers to the different modes of transmission can then be obtained numerically. The paper, in essence, extends the results in the literature that assume perfect channel knowledge at the receiver, and shows that fully exploiting covariance knowledge leads to a visible improvement in capacity when compared to schemes that assume no channel knowledge, whatsoever, at the transmitter. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
channel estimation, covariance matrices, eigenvalues and eigenfunctions, least mean squares methods, optimisation, radio receivers, radio transmitters, channel capacity, MIMO systems
in
IEEE 60th Vehicular Technology Conference, VTC 2004-Fall.
volume
3
pages
1575 - 1579
conference name
IEEE Vehicular Technology Conference, VTC Fall, 2004
external identifiers
  • scopus:17144401085
ISSN
1090-3038
ISBN
0-7803-8521-7
DOI
10.1109/VETECF.2004.1400299
language
English
LU publication?
yes
id
049dcf14-b6b3-431d-a93a-321451919dbc (old id 600652)
date added to LUP
2007-12-05 15:58:10
date last changed
2017-04-16 04:26:34
@inproceedings{049dcf14-b6b3-431d-a93a-321451919dbc,
  abstract     = {We consider realistic multiple input multiple output antenna systems operating over spatially colored channels with instantaneous, albeit imperfect, channel state information at the receiver and only covariance knowledge available at the transmitter. We focus on pilot-aided channel estimation in which the receiver uses minimum mean square error channel estimation. For such a setup, our goal is then to design both the pilot and data sequences optimally to maximize the information rates achievable over the channel. We first demonstrate that the estimation error cannot be modeled as additive white Gaussian noise. We adopt a lower bound on channel capacity with imperfect channel knowledge and show that an optimum design leads to a matching of the eigenspaces of the pilots and of the data to the eigenspace of the channel. Furthermore, the ranks of the pilot and data covariance matrices need to be equal, and the optimal training duration need only equal the above rank. The assignment of powers to the different modes of transmission can then be obtained numerically. The paper, in essence, extends the results in the literature that assume perfect channel knowledge at the receiver, and shows that fully exploiting covariance knowledge leads to a visible improvement in capacity when compared to schemes that assume no channel knowledge, whatsoever, at the transmitter.},
  author       = {Mehta, N B and Digham, F and Molisch, Andreas and Zhang, J},
  booktitle    = {IEEE 60th Vehicular Technology Conference, VTC 2004-Fall.},
  isbn         = {0-7803-8521-7},
  issn         = {1090-3038},
  keyword      = {channel estimation,covariance matrices,eigenvalues and eigenfunctions,least mean squares methods,optimisation,radio receivers,radio transmitters,channel capacity,MIMO systems},
  language     = {eng},
  pages        = {1575--1579},
  title        = {Rate of MIMO Systems with CSI at Transmitter and Receiver from Pilot-Aided Estimation},
  url          = {http://dx.doi.org/10.1109/VETECF.2004.1400299},
  volume       = {3},
  year         = {2004},
}