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**Harvard**

Zhang, X., Matthaiou, M., Coldrey, M. och Bjornson, E. (2015) *Impact of Residual Transmit RF Impairments on Training-Based MIMO Systems*.

** BibTeX **

@article{

Zhang2015,

author={Zhang, Xinlin and Matthaiou, Michail and Coldrey, M. and Bjornson, E.},

title={Impact of Residual Transmit RF Impairments on Training-Based MIMO Systems},

journal={IEEE Transactions on Communications},

issn={0090-6778},

volume={63},

issue={8},

pages={2899-2911},

abstract={Radio-frequency (RF) impairments, which intimately exist in wireless communication systems, can severely limit the performance of multiple-input-multiple-output (MIMO) systems. Although we can resort to compensation schemes to mitigate some of these impairments, a certain amount of residual impairments always persists. In this paper, we consider a training-based point-to-point MIMO system with residual transmit RF impairments (RTRI) using spatial multiplexing transmission. Specifically, we derive a new linear channel estimator for the proposed model, and show that RTRI create an estimation error floor in the high signal-to-noise ratio (SNR) regime. Moreover, we derive closed-form expressions for the signal-to-noise-plus-interference ratio (SINR) distributions, along with analytical expressions for the ergodic achievable rates of zero-forcing, maximum ratio combining, and minimum mean-squared error receivers, respectively. In addition, we optimize the ergodic achievable rates with respect to the training sequence length and demonstrate that finite dimensional systems with RTRI generally require more training at high SNRs than those with ideal hardware. Finally, we extend our analysis to large-scale MIMO configurations, and derive deterministic equivalents of the ergodic achievable rates. It is shown that, by deploying large receive antenna arrays, the extra training requirements due to RTRI can be eliminated. In fact, with a sufficiently large number of receive antennas, systems with RTRI may even need less training than systems with ideal hardware.},

year={2015},

keywords={Hardware impairments, large-scale MIMO, pilot optimization, random matrix theory, training-based channel estimation},

}

** RefWorks **

RT Journal Article

SR Electronic

ID 222280

A1 Zhang, Xinlin

A1 Matthaiou, Michail

A1 Coldrey, M.

A1 Bjornson, E.

T1 Impact of Residual Transmit RF Impairments on Training-Based MIMO Systems

YR 2015

JF IEEE Transactions on Communications

SN 0090-6778

VO 63

IS 8

SP 2899

OP 2911

AB Radio-frequency (RF) impairments, which intimately exist in wireless communication systems, can severely limit the performance of multiple-input-multiple-output (MIMO) systems. Although we can resort to compensation schemes to mitigate some of these impairments, a certain amount of residual impairments always persists. In this paper, we consider a training-based point-to-point MIMO system with residual transmit RF impairments (RTRI) using spatial multiplexing transmission. Specifically, we derive a new linear channel estimator for the proposed model, and show that RTRI create an estimation error floor in the high signal-to-noise ratio (SNR) regime. Moreover, we derive closed-form expressions for the signal-to-noise-plus-interference ratio (SINR) distributions, along with analytical expressions for the ergodic achievable rates of zero-forcing, maximum ratio combining, and minimum mean-squared error receivers, respectively. In addition, we optimize the ergodic achievable rates with respect to the training sequence length and demonstrate that finite dimensional systems with RTRI generally require more training at high SNRs than those with ideal hardware. Finally, we extend our analysis to large-scale MIMO configurations, and derive deterministic equivalents of the ergodic achievable rates. It is shown that, by deploying large receive antenna arrays, the extra training requirements due to RTRI can be eliminated. In fact, with a sufficiently large number of receive antennas, systems with RTRI may even need less training than systems with ideal hardware.

LA eng

DO 10.1109/tcomm.2015.2432761

LK http://dx.doi.org/10.1109/tcomm.2015.2432761

OL 30