Performance of Transmit and Receive Antenna Selection in the Presence of Channel Estimation Errors

Gucluoglu, Tansal; Panayırcı, Erdal

doi:10.1109/lcomm.2008.072126.

Cited by 33 publications

(35 citation statements)

References 11 publications

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“…The TBCE schemes of [17], [18] may be preferred for estimating the MIMO CSI owing to their algorithmic simplicity, albeit they impose a substantial pilot overhead. Fortunately, it has been shown in [39] that the achievable diversity order obtained under the assumption of perfect CSI is not reduced, when an imperfect CE is used for AS. In other words, AS is relatively insensitive to the CE error.…”

Section: Two-tier Channel Estimationmentioning

confidence: 99%

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Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection

Zhang

Chen

Hanzo

2015

IEEE Trans. Wireless Commun.

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Abstract-We propose a norm-based joint transmit and receive antenna selection (NBJTRAS) aided near-capacity multipleinput-multiple-output (MIMO) system relying on the assistance of a novel two-tier channel estimation scheme. Specifically, a rough estimate of the full MIMO channel is first generated using a lowcomplexity, low-training-overhead minimum mean square error based channel estimator, which relies on reusing a modest number of radio frequency (RF) chains. NBJTRAS is then carried out based on this initial full MIMO channel estimate. The NBJTRAS aided MIMO system is capable of significantly outperforming conventional MIMO systems equipped with the same modest number of RF chains while dispensing with the idealized simplifying assumption of having perfectly known channel state information (CSI). Moreover, the initial subset channel estimate associated with the selected subset MIMO channel matrix is then used for activating a powerful semi-blind joint channel estimation and turbo detector-decoder, in which the channel estimate is refined by a novel block-of-bits selection based soft-decision aided channel estimator (BBSB-SDACE) embedded in the iterative detection and decoding process. The joint channel estimation and turbo detection-decoding scheme operating with the aid of the proposed BBSB-SDACE channel estimator is capable of approaching the performance of the near-capacity maximum-likelihood (ML) turbo transceiver associated with perfect CSI. This is achieved without increasing the complexity of the ML turbo detection and decoding process.Index Terms-Multiple-input-multiple-output (MIMO), nearcapacity system, joint transmit and receive antenna selection, joint channel estimation and three-stage turbo detection-decoding.

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Section: Two-tier Channel Estimationmentioning

confidence: 99%

“…Since AS is relatively insensitive to the CE errors [39] and we may not need a high-accuracy CE, only a small number of training blocks is utilized for this TBCE scheme. In this way, a high effective system throughput is maintained.…”

Section: A Tier One: Tbce For Full Channel Matrixmentioning

confidence: 99%

Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection

Zhang

Chen

Hanzo

2015

IEEE Trans. Wireless Commun.

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“…According to the study [25], AS is relatively insensitive to CE error and, therefore, this inaccurate CE is adequate for the NBJTRAS scheme to carry out the AS task. Because the numbers of the RF chains available at transmitter/receiver are smaller than those of transmit/receive antennas, RF chains are reused in the estimation of the full channel matrix H ∈ C NR×NT .…”

Section: A Tier One: Tbcementioning

confidence: 99%

Norm-based joint transmit/receive antenna selection aided and two-tier channel estimation assisted STSK systems

Zhang

Chen

Dong

et al. 2014

2014 IEEE International Conference on Communications (ICC)

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Abstract-We propose a simple yet effective norm-based joint transmit and receive antenna selection (NBJTRAS) assisted and two-tier channel estimation (TTCE) aided space-time shift keying (STSK) system, which is capable of significantly outperforming the conventional STSK system, while efficiently utilising available radio frequency (RF) chains. Specifically, the NBJTRAS carries out antenna selection based on the channel estimation (CE) generated using a low-complexity training based least square channel estimator by reusing RF chains. The selected sub-channel matrix is further refined by an efficient semi-blind CE and data detection scheme. Our simulation results show that only a few iterations are sufficient for the TTCE scheme to approach the optimal maximum-likelihood detection performance associated with perfectly channel state information.

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“…Therefore, it is evident that wrong selection degrades the diversity order and thereby affects the performance. The effect of channel estimation errors on transmit antenna selection systems have been extensively studied in [8]- [12]. Simulation results on the loss in the achievable capacity of the hybrid selection MRC system due to CSI imperfections is presented in [8].…”

mentioning

confidence: 99%

“…In [11], the SER of the antenna subset selection system is studied in the presence of channel estimation errors. The effect of channel estimation errors on the system employing joint transmit and receive antenna selection along with space time coding is studied in [12]. It has been established in [8]- [12] that estimation errors lead to a bounded SNR loss and do not affect the achievable diversity gain.…”

mentioning

confidence: 99%

Using Delayed Feedback for Antenna Selection in MIMO Systems

Ramya

Bhashyam

2009

IEEE Trans. Wireless Commun.

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Abstract-Antenna selection in Multiple-Input-Multipleoutput (MIMO) systems preserves diversity gain while significantly reducing hardware complexity. However, imperfect Channel State Information (CSI) affects performance. In this paper, we first analyze the performance of a MIMO system employing antenna selection at the transmitter and Maximal Ratio Combining (MRC) at the receiver in the presence of feedback delay and channel estimation errors. Then, we determine whether channel prediction can compensate for the effect of feedback delay. Outage probability is analyzed as a function of , the correlation coefficient between the CSI used at the receiver for decoding (CSIR) and the CSI used at the transmitter for selection (CSIT). Analytical results show that the effect of feedback delay is more significant than the effect of estimation error. In order to overcome the effect of delay, should increase with SNR. For a given SNR, the length of the Linear Minimum Mean Square Error (LMMSE) prediction filter required is calculated and shown to increase with SNR. Finally, we determine the asymptotic diversity order as a function of the feedback quality. Results show that if 1 − ∝ −1 , the diversity order with imperfect CSI is same as that with perfect CSI.

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Performance of Transmit and Receive Antenna Selection in the Presence of Channel Estimation Errors

Cited by 33 publications

References 11 publications

Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection

Two-Tier Channel Estimation Aided Near-Capacity MIMO Transceivers Relying on Norm-Based Joint Transmit and Receive Antenna Selection

Norm-based joint transmit/receive antenna selection aided and two-tier channel estimation assisted STSK systems

Using Delayed Feedback for Antenna Selection in MIMO Systems

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