Influence and suppression of phase noise in multi-antenna OFDM

Schenk, T.C.W.; Tao, Xiao-Jiao; Smulders, P.F.M.; Fledderus, E.R.

doi:10.1109/vetecf.2004.1400262

Cited by 33 publications

(26 citation statements)

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“…In orthogonal frequency division multiplexing (OFDM) phase noise is convolved with the data symbols [7], [34]- [36]. Therefore, the effect of phase noise can be partitioned into a multiplicative part and an additive part that results in intercarrier interference (ICI) and significant performance loss [7].…”

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confidence: 99%

“…Therefore, the effect of phase noise can be partitioned into a multiplicative part and an additive part that results in intercarrier interference (ICI) and significant performance loss [7]. Since in OFDM systems, the multiplicative part of phase noise affects all subcarriers similarly [35], it is referred to as the common phase error (CPE) and can be easily compensated by a phase rotation as shown in [7], [34], [36], [37]. On the other hand, the additive part of phase noise is more challenging to mitigate and considerable research has been carried out to analyze and reduce its resulting ICI in SISO-and MIMO-OFDM systems [7], [35], [38].…”

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confidence: 99%

“…Algorithms for CPE estimation in MIMO-OFDM systems have been proposed in [34], [37], [38]. However, these schemes are based on the assumption that the MIMO channels are known and are limited to scenarios where a single oscillator is used at all the transmit or receive antennas.…”

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confidence: 99%

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Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems

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confidence: 99%

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Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems

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et al. 2012

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“…For the remainder of the analysis, we assume the CPE g 0 can be perfectly removed, e.g., using the method proposed in [5], so the degradation in performance is only caused by the ICI term.…”

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On the influence of phase noise induced ICI in MIMO OFDM systems

Schenk

Tao²,

Smulders

et al. 2005

IEEE Commun. Lett.

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Abstract-The influence of transmitter and receiver phase noise (PN) on the performance of a multiple-input multipleoutput orthogonal frequency division multiplexing (MIMO OFDM) based communication system is analyzed. It is shown that in the case of frequency flat Rayleigh fading, the influence of receiver and transmitter PN is equal. In the case of independent Rayleigh fading, however, the impact of the receiver PN is shown to depend on the ratio between the number of transmit and receive branches.Index Terms-MIMO systems, orthogonal frequency division multiplexing (OFDM), phase noise.

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“…The robust weighted sum MSE minimization problem with per-BS power constraints was addressed in [21] for multicell downlink joint transmission systems. As for the transceiver, impairments suffered in practical systems, its effect on the performance of MIMO orthogonal frequency division multiplexing (MIMO-OFDM) communication systems was analyzed in [22,23]. Later, the effect of residual Tx-RF impairments that defy proper compensation on channel capacity and error-rate performance was disclosed in [24].…”

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Coordinated beamforming design for multicell systems with transceiver impairments: from perspective of spectral efficiency to energy efficiency

Huang

Zhang

et al. 2015

J Wireless Com Network

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Physical transceiver implementations for wireless communication systems usually suffer from transmit-radio frequency (Tx-RF) and receiver-RF (Rx-RF) impairments. In this paper, we aim to design efficient coordinated beamforming for multicell multiuser multi-antenna systems by fully taking into account the residual transceiver impairments. Our design objectives include both spectral efficiency and energy efficiency. In particular, we first derive the closed-form expression of the mean square error (MSE) which includes the impact of transceiver impairments. Based on that, we propose an alternating optimization algorithm to solve the coordinated multicell beamforming problems with the goal of minimizing the worst user MSE, and the sum MSE. Then, by exploiting the relationship between the minimum mean square error (MMSE) and the achievable rate, we develop a new algorithm to address the sum rate maximization problem. This approach is further generalized to solve the more intractable energy efficiency optimization problem. We prove that all the proposed iterative algorithms guarantee to converge to a stationary point. Numerical results show that our proposed schemes achieve a better performance than conventional coordinated beamforming algorithms that were designed ignoring the transceiver impairments.

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Influence and suppression of phase noise in multi-antenna OFDM

Cited by 33 publications

References 8 publications

Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems

Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems

On the influence of phase noise induced ICI in MIMO OFDM systems

Coordinated beamforming design for multicell systems with transceiver impairments: from perspective of spectral efficiency to energy efficiency

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