New transmit schemes and simplified receivers for mimo wireless communication systems

Choi, Ruly Lai-U; Murch, R.D.

doi:10.1109/twc.2003.819024

Cited by 69 publications

(46 citation statements)

References 17 publications

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“…The optimum transmit and receive filters are those that minimize the MSE between u[n] and û t [n] subject to the transmit-energy constraint E tx = tr(C x ) (see [3,[5][6][7]). Again, let us define the error vector…”

Section: Mimo Linear Precoder Design With Transmitter Noisementioning

confidence: 99%

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Performance of MIMO systems in measured indoor channels with transmitter noise

Castro

González-Coma

García-Naya

et al. 2012

J Wireless Com Network

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This study analyzes the impact of transmitter noise on the performance of multiple-input multiple-output (MIMO) systems with linear and nonlinear receivers and precoders. We show that the performance of MIMO linear and decision-feedback receivers is not significantly influenced by the presence of transmitter noise, which does not hold true in the case of MIMO systems with precoding. Nevertheless, we also show that this degradation can be greatly alleviated when the transmitter noise is considered in the MIMO precoder design. A MIMO testbed developed at the University of A Coruña has been employed for experimentally evaluating how much the transmitter noise impacts the system performance. Both the transmitter noise and the receiver noise covariance matrices have been estimated from a set of 260 indoor MIMO channel realizations. The impact of transmitter noise has been assessed in this realistic scenario.

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Section: Mimo Linear Precoder Design With Transmitter Noisementioning

confidence: 99%

“…First of all, we focus on MIMO systems with either linear receivers [3][4][5] or linear precoders [4][5][6][7][8]. We will also focus on MIMO systems with nonlinear decision feedback (DF) receivers [9,10] and nonlinear Tomlinson-Harashima (TH) precoders [5,11,12].…”

Section: Introductionmentioning

confidence: 99%

Performance of MIMO systems in measured indoor channels with transmitter noise

Castro

González-Coma

García-Naya

et al. 2012

J Wireless Com Network

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“…Widely used linear preprocessing techniques such as Minimum Mean Square Error or Zero Forcing (ZF) have attracted a lot of research and have reached a state of maturity too (Choi and Murch, 2003). Therefore, in this work SVD-assisted downlink (DL) multiuser multiple-input multiple-output (MIMO) systems are considered, which take the individual user's channel characteristics into account (Ahrens and BenaventePeces, 2010;Liu et al, 2008) rather than treating all users channels jointly as in ZF multiuser transmission techniques.…”

Section: Introductionmentioning

confidence: 99%

Modulation-Mode Assignment for SVD-Assisted Multiuser Mimo Systems With Correlation

Benavente-Peces¹,

Cano-Broncano²,

Aust³

et al. 2011

Proceedings of the 1st International Conference on Pervasive and Embedded Computing and Communication Systems

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Abstract:Multiuser multiple-input multiple-output (MIMO) downlink (DL) transmission schemes experience both multiuser interference as well as inter-antenna interference. The singular value decomposition provides an appropriate mean to process channel information and allows us to take the individual user's channel characteristics into account rather than treating all users channels jointly as in zero-forcing (ZF) multiuser transmission techniques. However, uncorrelated MIMO channels has attracted a lot of attention and reached a state of maturity. By contrast, the performance analysis in the presence of antenna fading correlation, which decreases the channel capacity, requires substantial further research. The joint optimization of the number of activated MIMO layers and the number of bits per symbol along with the appropriate allocation of the transmit power shows that not necessarily all user-specific MIMO layers has to be activated in order to minimize the overall BER under the constraint of a given fixed data throughput.

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“…Widely used linear preprocessing techniques such as Minimum Mean Square Error or Zero Forcing (ZF) have attracted a lot of research and have reached a state of maturity, too (Choi and Murch, 2003).…”

Section: Introductionmentioning

confidence: 99%

Modulation-Mode Assignment in SVD-Assisted Multiuser Mimo-Ofdm Systems

Aust

Ahrens

Benavente-Peces

2011

Proceedings of the International Conference on Wireless Information Networks and Systems

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Abstract:In order to comply with the demand on increasing available data rates in particular in wireless technologies, systems with multiple transmit and receive antennas, also called MIMO (multiple-input multiple-output) systems, have become indispensable for future generations of wireless systems. Due to the strongly increasing demand in high-data rate transmission systems, frequency non-selective MIMO links have reached a state of maturity and frequency selective MIMO links are in the focus of interest. In this field, the combination of MIMO transmission and OFDM (orthogonal frequency division multiplexing) can be considered as an essential part of fulfilling the requirements of future generations of wireless systems. However, single-user scenarios have reached a state of maturity. By contrast multiple users' scenarios require substantial further research, where in comparison to ZF (zero-forcing) multiuser transmission techniques, the individual user's channel characteristics are taken into consideration in this contribution. The performed joint optimization of the number of activated MIMO layers and the number of transmitted bits per subcarrier along with the appropriate allocation of the transmit power shows that not necessarily all user-specific MIMO layers per subcarrier have to be activated in order to minimize the overall BER under the constraint of a given fixed data throughput.

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New transmit schemes and simplified receivers for mimo wireless communication systems

Cited by 69 publications

References 17 publications

Performance of MIMO systems in measured indoor channels with transmitter noise

Performance of MIMO systems in measured indoor channels with transmitter noise

Modulation-Mode Assignment for SVD-Assisted Multiuser Mimo Systems With Correlation

Modulation-Mode Assignment in SVD-Assisted Multiuser Mimo-Ofdm Systems

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