Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems

Mehrpouyan, Hani; Nasir, Ali A.; Blostein, Steven D.; Eriksson, Thomas; Karagiannidis, George K.; Svensson, Tommy

doi:10.1109/tsp.2012.2202652

Cited by 130 publications

(185 citation statements)

References 56 publications

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“…(10)], but accounting for the peak-power constraint, 3 we next upper-bound each term on the right-hand side (RHS) of (14). We first note that…”

Section: The Unitary Case a Capacity Upper Boundmentioning

confidence: 99%

“…The current terrific rate of increase in mobile data traffic makes these microwave radio links a potential bottleneck in the deployment of high-throughput cellular networks. This consideration has stimulated a large body of research aimed at the design of highcapacity backhaul links [3]- [6]. One design challenge is that the use of high-order constellations to increase throughput (512 QAM has been recently demonstrated in commercial products) makes the overall system extremely sensitive to phase noise, i.e., to phase and frequency instabilities in the radio-frequency (RF) oscillators used at the transmitter and the receiver.…”

Section: Introductionmentioning

confidence: 99%

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Capacity Bounds for MIMO Microwave Backhaul Links Affected by Phase Noise

Durisi

Tarable

Camarda

et al. 2014

IEEE Trans. Commun.

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Abstract-We present bounds and a closed-form high-SNR expression for the capacity of multiple-antenna systems affected by Wiener phase noise. Our results are developed for the scenario where a single oscillator drives all the radio-frequency circuitries at each transceiver (common oscillator setup), the input signal is subject to a peak-power constraint, and the channel matrix is deterministic. This scenario is relevant for line-of-sight multipleantenna microwave backhaul links with sufficiently small antenna spacing at the transceivers. For the 2×2 multiple-antenna case, for a Wiener phase-noise process with standard deviation equal to 6• , and at the medium/high SNR values at which microwave backhaul links operate, the upper bound reported in the paper exhibits a 3 dB gap from a lower bound obtained using 64-QAM. Furthermore, in this SNR regime the closed-form high-SNR expression is shown to be accurate.

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“…(10)], but accounting for the peak-power constraint, 3 we next upper-bound each term on the right-hand side (RHS) of (14). We first note that…”

Section: The Unitary Case a Capacity Upper Boundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Capacity Bounds for MIMO Microwave Backhaul Links Affected by Phase Noise

Durisi

Tarable

Camarda

et al. 2014

IEEE Trans. Commun.

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“…The approach of flexible pilot flexible coding is been presented. A joint estimation of channel gain and phase noise in MIMO system is analyzed in [2]. A decision directed extended feedback filter for phase noise tracking is developed.…”

Section: Introductionmentioning

confidence: 99%

Coordinative Inference Rate Maximization In MIMO-Visible Light Communication

Rao¹,

Sarma²

2017

IOSR JECE

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“…The effect of phase noise on the performance of MIMO systems with a SLO configuration is studied in [9], [14], [18]. Authors in [15] investigate bounds on the mean-square error performance of phase noise estimators, including the extended Kalman filter (EKF). In [9], a joint phase noise estimation, data detection method based on maximum a posteriori (MAP) theory is proposed by applying the sum-product algorithm.…”

Section: Introductionmentioning

confidence: 99%

Receiver Algorithm Based on Differential Signaling for SIMO Phase Noise Channels with Common and Separate Oscillator Configurations

Khanzadi

Krishnan

Eriksson

2015

2015 IEEE Global Communications Conference (GLOBECOM)

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Abstract-In this paper, a receiver algorithm consisting of differential transmission and a two-stage detection for a single-input multiple-output (SIMO) phase-noise channels is studied. Specifically, the phases of the QAM modulated data symbols are manipulated before transmission in order to make them more immune to the random rotational effects of phase noise. At the receiver, a twostage detector is implemented, which first detects the amplitude of the transmitted symbols from a nonlinear combination of the received signal amplitudes. Then in the second stage, the detector performs phase detection. The studied signaling method does not require transmission of any known symbols that act as pilots. Furthermore, no phase noise estimator (or a tracker) is needed at the receiver to compensate the effect of phase noise. This considerably reduces the complexity of the receiver structure. Moreover, it is observed that the studied algorithm can be used for the setups where a common local oscillator or separate independent oscillators drive the radio-frequency circuitries connected to each antenna. Due to the differential encoding/decoding of the phase, weighted averaging can be employed at a multi-antenna receiver, allowing for phase noise suppression to leverage the large number of antennas. Hence, we observe that the performance improves by increasing the number of antennas, especially in the separate oscillator case. Further increasing the number of receive antennas results in a performance error floor, which is a function of the quality of the oscillator at the transmitter.

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Joint Estimation of Channel and Oscillator Phase Noise in MIMO Systems

Cited by 130 publications

References 56 publications

Capacity Bounds for MIMO Microwave Backhaul Links Affected by Phase Noise

Capacity Bounds for MIMO Microwave Backhaul Links Affected by Phase Noise

Coordinative Inference Rate Maximization In MIMO-Visible Light Communication

Receiver Algorithm Based on Differential Signaling for SIMO Phase Noise Channels with Common and Separate Oscillator Configurations

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