Impact of Incomplete and Inaccurate Data Models on High Resolution Parameter Estimation in Multidimensional Channel Sounding

Landmann, Markus; Käske, Martin; Thomä, Reiner S.

doi:10.1109/tap.2011.2173446

Cited by 82 publications

(45 citation statements)

References 30 publications

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“…Due to the very small wavelength highly accurate positioners on the order of a fraction of a wavelength to synthesize the array, and sources with low phase noise and high stability would be needed to apply high resolution estimation algorithms. Multiple antenna measurements enable the estimation of the specular multipath component (SMC) parameters including the AoD and AoA using high resolution algorithms such as SAGE [43] or RIMAX [33] [44]. A drawback of SAGE is that 1) the computational load is dependent on the covariance matrix size which can be excessively huge for typical MIMO measurements and 2) it only assumes additive white Gaussian noise in the model and thus does not include dense multipath components (DMC).…”

Section: Mm-wave Channel Soundingmentioning

confidence: 99%

Millimeter-Wave Propagation: Characterization and modeling toward fifth-generation systems. [Wireless Corner]

Salous

Degli-Esposti²,

Fuschini

et al. 2016

IEEE Antennas Propag. Mag.

101

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Abstract-The World Radiocommunications Conference WRC15 identified a number of frequency bands between 24-86 GHz as candidate frequencies for future cellular networks. In this paper an extensive review of propagation characteristics and challenges related to the use of millimetre wave in future wireless systems is presented. Reference to existing path loss models including atmospheric and material attenuation in recommendations of the International Telecommunication Union is given and the need for new multidimensional models and measurements is identified. A description of state of the art mm wave channel sounders for single and multiple antenna measurements is followed by a discussion of the most recent deterministic, semi-deterministic and stochastic propagation and channel models. Finally, standardization issues are outlined with recommendations for future research.

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Section: Mm-wave Channel Soundingmentioning

confidence: 99%

Millimeter-Wave Propagation: Characterization and modeling toward fifth-generation systems. [Wireless Corner]

Salous

Degli-Esposti²,

Fuschini

et al. 2016

IEEE Antennas Propag. Mag.

101

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“…The antenna has a non-uniform beampattern in elevation, with a beamwidth (full-width halfmaximum, FWHM) of ∼ 90°. Note that due to the SIMO setup, extraction of angles of departure is not possible, which may be one of the error sources in the extraction of the MPC parameters [15] when the antenna characteristics are not separable in angle and frequency; the campaign in this paper kept the error small by measuring in outdoor scenarios with limited elevation spread.…”

Section: Sounder Calibration and Measurement A Channel Soundermentioning

confidence: 99%

“…The reason is because cross-polarized ports in RX had failed to provide consistent radiation patterns during calibration due to high noise sensitivity (TX is vertically polarized). Note that the lack of dual-polarization at TX and RX might also contribute to modeling errors [15]. Each vertically polarized port has azimuth beamwidth of 50°and elevation beamwidth of 100°(see Fig.…”

Section: Sounder Calibration and Measurement A Channel Soundermentioning

confidence: 99%

Channel Extrapolation for FDD Massive MIMO: Procedure and Experimental Results

Choi

Rottenberg

Gomez-Ponce

et al. 2019

2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)

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Application of massive multiple-input multipleoutput (MIMO) systems to frequency division duplex (FDD) is challenging mainly due to the considerable overhead required for downlink training and feedback. Channel extrapolation, i.e., estimating the channel response at the downlink frequency band based on measurements in the disjoint uplink band, is a promising solution to overcome this bottleneck. This paper presents measurement campaigns obtained by using a wideband (350 MHz) channel sounder at 3.5 GHz composed of a calibrated 64 element antenna array, in both an anechoic chamber and outdoor environment. The Space Alternating Generalized Expectation-Maximization (SAGE) algorithm was used to extract the parameters (amplitude, delay, and angular information) of the multipath components from the attained channel data within the "training" (uplink) band. The channel in the downlink band is then reconstructed based on these path parameters. The performance of the extrapolated channel is evaluated in terms of mean squared error (MSE) and reduction of beamforming gain (RBG) in comparison to the "ground truth", i.e., the measured channel at the downlink frequency. We find strong sensitivity to calibration errors and model mismatch, and also find that performance depends on propagation conditions: LOS performs significantly better than NLOS.

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“…For this, we generate the synthetic channel transfer functions using (2) 1 , the phase drift was modeled as a random-walk process and added to the transfer functions, as done in [36]. For the simulations, we used the same setup as the actual better resolution, they are relatively more sensitive to any model mismatches [38], [39]. 2 We now briefly describe the channel propagation model and the algorithm for parameter extraction: Let B T (φ, ψ) and B R (φ, ψ) respectively be the N T × 1 and 1 × N R calibrated vertically polarized beam patterns of the transmit and receive arrays, for different azimuth and elevation angles.…”

Section: ) Phase Drift Estimationmentioning

confidence: 99%

3D MIMO Outdoor-to-Indoor Propagation Channel Measurement

Kristem

Sangodoyin

Bas

et al. 2017

IEEE Trans. Wireless Commun.

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3-dimensional Multiple-Input Multiple-Output (3D MIMO) systems have received great interest recently because of the spatial diversity advantage and capability for full-dimensional beamforming, making them promising candidates for practical realization of massive MIMO. In this paper, we present a low-cost test equipment (channel sounder) and post-processing algorithms suitable for investigating 3D MIMO channels, as well as the results from a measurement campaign for obtaining elevation and azimuth characteristics in an outdoor-to-indoor (O2I) environment. Due to limitations in available antenna switches, our channel sounder consists of a hybrid switched/virtual cylindrical array with effectively 480 antenna elements at the base station (BS). The virtual setup increased the overall MIMO measurement duration, thereby introducing phase drift errors in the measurements. Using a reference antenna measurements, we estimate and correct for the phase errors during post-processing. We provide the elevation and azimuth angular spreads, for the measurements done in an urban macro-cellular (UMa) and urban micro-cellular (UMi) environments, and study their dependence on the UE height.Based on the measurements done with UE placed on different floors, we study the feasibility of separating users in the elevation domain. The measured channel impulse responses are also used to study the channel hardening aspects of Massive MIMO and the optimality of Maximum Ratio Combining (MRC) receiver.

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Impact of Incomplete and Inaccurate Data Models on High Resolution Parameter Estimation in Multidimensional Channel Sounding

Cited by 82 publications

References 30 publications

Millimeter-Wave Propagation: Characterization and modeling toward fifth-generation systems. [Wireless Corner]

Millimeter-Wave Propagation: Characterization and modeling toward fifth-generation systems. [Wireless Corner]

Channel Extrapolation for FDD Massive MIMO: Procedure and Experimental Results

3D MIMO Outdoor-to-Indoor Propagation Channel Measurement

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